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Strategies to improve acquisition of technical skill in surgical residents: from screening technical ability at the time of selection to incorporating performance adjuncts during training. by Marisa Louridas A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy in Medical Science Institute of Medical Science University of Toronto © Copyright by Marisa Louridas 2016
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Page 1: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

Strategies to improve acquisition of technical skill in surgical residents:

from screening technical ability at the time of selection to incorporating

performance adjuncts during training.

by

Marisa Louridas

A thesis submitted in conformity with the requirements

for the degree of Doctor of Philosophy in Medical Science

Institute of Medical Science

University of Toronto

© Copyright by Marisa Louridas 2016

Page 2: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

ii

Marisa Louridas

Doctor of Philosophy

Institute of Medical Science

University of Toronto

2016

Strategies to improve acquisition of technical skill in surgical residents:

from screening technical ability at the time of selection to incorporating

performance adjuncts during training.

Abstract

Introduction: Evidence suggests that not all trainees reach technical competence.

Therefore the purposes of the included studies were to improve resident selection

by investigating screening tools (visual spatial tests (VSTs) and technical tasks

(TTs)) that may predict technical ability of incoming trainees, and to determine

whether metal practice is beneficial as a performance enhancement strategy during

training.

Methods: Screening with VSTs as a predictor of laparoscopic ability was

evaluated using the PicSOr, cube comparison (CC) and card rotation (CR) tests and

correlated to technical performance on the camera navigation (LCN) and

Page 3: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

iii

laparoscopic circle cut (LCC) tasks. To screen trainees using TTs, a Delphi of

Canadian general surgery (GS) program directors (PD), was performed to gain

consensus on the simulated TTs best suited for incoming trainees. K-mean

clustering learning curve (LC) analysis was used to determine acquisition of TTs.

Next, mental practice was evaluated in a randomized control trial to assess its

impact on advanced laparoscopic technical performance.

Results: Thirty-seven residents were screened using VSTs. Residents who scored

higher on the CC test had more accurate LCN path length (rs(PL) =-0.36, p=0.03)

and angle path (rs(AP) =-0.426, p=0.01) scores. Eleven of 14 GS PDs participated in

the Delphi, and consensus was reached that both basic laparoscopic and open skills

would be appropriate for the assessment of TTs. LC analysis of 65 students

revealed that 7-15% of trainees did not reach proficiency in laparoscopic skills.

These students demonstrated poor innate ability, and remained disadvantaged with

inconsistent performance throughout their LC. During training, mental practice

significantly improved technical performance (p =0�003).

Conclusion: LC analysis of simulated technical skills proved more dependable

than VSTs to screen for technical ability in novice trainees, while mental practice

is an affective adjunct to technical skills performance and would be a beneficial

addition to skills training for senior residents.

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iv

Acknowledgments

I would like to express my heartfelt gratitude to my program advisory committee Drs. Tulin Cil

and Simon Graham, who have provided experienced advice and ongoing support throughout my

degree. I would also like to thank my research supervisor Dr. Teodor Grantcharov who has spent

countless hours discussing project designs, fine tuning methodology and providing the guidance

required to execute novel timely research within the field of surgical education. Through their

mentorship I have had the opportunity to publish broadly and present consistently throughout my

PhD at both national and international conferences.

This PhD would not have been possible without the Surgeon Scientist Training Program and the

Clinical Investigator Program. These programs provide financial support and superb academic

resources, to create an environment where clinical residents can dedicate time to pursue

advanced degrees in science, forming the foundation for a career as a clinical investigator. Drs.

Najma Ahmed, Andy Smith, Carol Swallow, James Rudka, Andrea McCart and Norm

Rosenblum, thank you for this opportunity.

Finally I would like to thank my friends, family and colleagues, who have offered words of

wisdom, unwavering support, love and balance during the course of this degree. Katy Louridas,

Georgia Louridas, Dr. Micahel Zywiel, Dr. Peter Szasz, Dr. Sandra de Montbrun, Dr. Esther

Bonrath, Dr. Nicolas Dedy and Dr. Andras Fecso - thank you!

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v

Contributions

Marisa Louridas independently prepared this thesis and all aspects of the included original

research studies from: study design, data collection, analysis and writing. This thesis contains

five original manuscripts with Marisa Louridas as the primary author. All contributions by

coauthors are described in detail below:

Supervisor – Dr. Teodor Grantcharov – mentorship, guidance for study design, laboratory

resources, introductions to collaborators and manuscript/thesis editions.

Thesis committee members – Dr. Tulin Cil and Dr. Simon Graham, study design guidance and

thesis preparation

Lauren Quinn – Contributed to the data collection, analysis and preparation of the manuscript in

Chapter 3.

Dr. Peter Szasz – assisted in grading quality of studies included in section 2.4 and assisted with

study design and participant correspondence in Chapter 4 and trained participants in Chapter 5

while contributing to the preparation and editions of all three manuscripts.

Dr. Sandra de Montbrun – assisted in study design, analysis and manuscript preparation and

editions of section 2.4 and Chapter 4.

Dr. Michael Zywiel – assisted in the study design, analysis interpretation and manuscript

preparation and editions of Chapter 5.

Dr. Andras Fecso- assisted in preparing the technical skills curriculum trained participants in

Chapter 5 while contributing to the preparation and editions of this manuscript

Parisa Lak and Dr. Ayse Bener - experts in data science and machine learning, assisted in the k-

means analysis of Chapter 5 and edited the manuscript.

Drs. Esther Bonrath, Dana Sinclair and Nicolas Dedy contributed to the planning, design,

execution and manuscript preparation of Chapter 6

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C6

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Page 11: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

xi

List of Tables

Table 1: GRADE classification and assessment method of included studies organized by

subjective or objective assessment method ................................................................................... 25

Table 2: Summary of background characteristics, surgical and non-surgical experiences as

predictors of surgical performance collected by participant questionnaires ................................. 26

Table 3: A summary of visual spatial tests as predictors of surgical performance ....................... 28

Table 4: Summary of dexterity tests as predictors of surgical performance ................................. 32

Table 5: Task specific checklist applicable to both the placement of one interrupted suture and

intracorporeal knot tying ............................................................................................................... 50

Table 6: Objective Structure of Technical skills - Global Rating Scale (Martin et al., 1997) ..... 52

Table 7: Assessment tools of non-technical skills in the operating room ..................................... 68

Table 8: Demographic and background characteristics of study participants .............................. 77

Table 9: Previous surgical and non-surgical experiences ............................................................. 78

Table 10: Correlation of 2D-3D innate ability tests with laparoscopic surgical skill ................... 80

Table 11: Participating Canadian General Surgery Programs ...................................................... 90

Table 12: General Surgery program director's responses to clinical knowledge, decision-making

and technical skill during selection and at the time of graduation ................................................ 92

Table 13: Desired candidate attributes for selection into General Surgery .................................. 93

Table 14: Appropriate simulated surgical skills for selection into General Surgery .................... 94

Table 15: Proficiency scores for open tasks ............................................................................... 108

Table 16: Comparing clusters 1-4: start points, end points and repetitions to proficiency ........ 114

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xii

Table 17: Demographics and non-surgical experiences and their association with performance

clusters ........................................................................................................................................ 117

Table 18: Consistency of performance clusters for laparoscopic and open technical skill ........ 119

Table 19: Demographics of study participants ........................................................................... 136

Table 20: Result of baseline assessments of technical skill and mental rotation ability ............ 136

Table 21: Technical skill results at baseline and following training .......................................... 140

Table 22: Mental imagery ability at baseline and following training ......................................... 141

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xiii

List of Figures

Figure 1: Flow diagram of search strategy ................................................................................... 20

Figure 2: Simulated open technical skills models a. low fidelity synthetic, b. high fidelity

cadaveric porcine, c. high fidelity synthetic (picture provided courtesy of Dr. Sandra de

Montbrun) ..................................................................................................................................... 45

Figure 3: (a) the laparoscopic box trainer can be used for both basic and advanced laparoscopic

tasks, using either a low fidelity model such as (b) a plastic penrose drain, or a high fidelity

model such as (c) cadaveric porcine small bowel with attached mesentery. ................................ 47

Figure 4: Virtual reality simulator for laparoscopic technical skill training and assessment. ...... 49

Figure 5: Task metrics for the laparoscopic knot tie task, using the laparoscopic box trainer ..... 53

Figure 6: Examples of expected smoothed learning curves for the performance of (a) a basic task

and (b) a difficult task. Actual performance of an individual learning a basic task may display

additional fluctuations between attempts (c). ............................................................................... 55

Figure 7: Adapted from Lang’s model of input and output variables for emotional imagery. ..... 59

Figure 8: Mental Practice protocol for surgery, adopted from (S. Arora et al., 2010). ................ 64

Figure 9: Pictorial Surface orientation test (PicSOr) used to assess 2D-3D perception ability. a.

Setup to change between practice and experiment mode. b. rotating arrow oriented to lie 90

degrees to the underlying cube. .................................................................................................... 74

Figure 10: Paper tests used to assess 2D-3D visual spatial ability included the (a) card rotation

test (CR) and (b) cube comparison test (CC) ................................................................................ 74

Figure 11: Learning curves for clusters 1 (top performers) to 4 (low performers) on the

laparoscopic (a) peg transfer, (b) circle cut, and (c) intracorporeal knot tie tasks, ordered from

basic to advanced. Proficiency scores are demarcated with a dashed line. ................................ 111

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xiv

Figure 12: Learning curves for clusters 1 (high performers) to 4 (low performers) on the open (a)

one handed tie and (b) laparotomy closure tasks, ordered from basic to advanced. ................... 112

Figure 13: Learning curves for a representative individual from cluster 3 (moderate performer)

and from cluster 4 (low performer) on the laparoscopic intracorporeal knot tie, demonstrating

variability in performance times and associated normalized scores. .......................................... 121

Figure 14: CONSORT diagram illustrating progress through the phases of the study .............. 135

Figure 15: Comparison of Objective Structured Assessment of Technical Skill (OSATS) change

scores between groups. Median (line within box), interquartile range (box), and range (error

bars) excluding outliers (circles) are shown. Dotted line indicates baseline performance. P

=0�003 (Mann–Whitney U test) ................................................................................................. 138

Figure 16: Comparison of bariatric Objective Structured Assessment of Technical Skill

(BOSATS) change scores between groups. Median (line within box), interquartile range (box),

and range (error bars) excluding outliers (circles) are shown. Dotted line indicates baseline

performance. P =0�003 (Mann–Whitney U test) ........................................................................ 139

Figure 17: A five-stage model of the mental activities involved in directed skill acquisition

(adapted from (Dreyfus & Dreyfus, 1980)). ............................................................................... 155

Figure 18: Standard setting using: a. contrasting groups and b. borderline group methodology

(images adapted from (de Montbrun, Statterthwaithe, & Grantcharov, 2015)) .......................... 156

Figure 19: Standard setting using borderline regression methodology (image adapted from (de

Montbrun et al., 2015)) ............................................................................................................... 157

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xv

List of Abbreviations

TT – technical task

VST – visual spatial test

ACGME - Accreditation Council of Graduate Medical Education

FLS – Fundamentals of laparoscopic surgery

MP – mental practice

MI – mental imagery

MR – Mental rehearsal

CaRMS - Canadian Resident Matching Service

USMELE - United States Medical Licensing Examination

JJ – Jejunojejunostomy

RYGB – Roux-en-y gastric bypass

FLS – Fundamental of Laparoscopic Surgery

MIQ - Mental Imagery Questionnaire

MIQ –RS - Movement Imagery Questionnaire Revised Second version

OSATS – Objective Structure Assessment of Technical Skills

BOSATS – Bariatric Objective Structure Assessment of Technical Skills

STAI – State trait anxiety questionnaire

BP – Blood pressure

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xvi

HR – heart rate

NOTSS – non-technical skill for surgeons

CC – Cube comparison test

CR – Card rotation test

PicSOr – Pictorial Surface Orientation test

LCC – laparoscopic circle cut

LCN – laparoscopic camera navigation

PGY – post-graduate year

CUSUM - curve cumulative summation test

MS - Motivation-Specific

MG-M - Motivational General-Mastery

MG-A - Motivation General-Arousal

CS - Cognitive Specific

CG - Cognitive General

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Chap

1.1

Techn

surgic

This th

pter 1: G

Thesis o

nical skill ab

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have the ap

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to improve a

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nd a systemat

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n practices, t

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terature in bo

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1.2

At the

Hypot

It is hy

and lap

studen

and th

Manus

screen

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learne

tasks,

Chapter 3,

selection. C

are able to

survey on g

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residents p

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directions.

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e time of s

theses

ypothesized

paroscopic t

nts for techni

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script 1: Spe

ning tools to

script 2 and

rs by assessi

it is hypothe

4, 5 and 6 a

Chapter 3 is

predict simu

general surg

r incoming t

urves using k

practice as a

performing a

8 and 9 incl

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election

that not all s

technical ski

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rogram.

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predict tech

3: Furtherm

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a cross secti

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gery program

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surgical train

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medical stude

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m directors op

chapter 5 is

stering. Las

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paroscopic sk

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nd of training

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that assess v

de in laparos

ed technical

s over multip

ents will disp

nuscripts foc

t study asses

mance. Chapt

pinions on th

a prospectiv

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ment strategy

kills.

ion, limitatio

able to reach

g. Therefore

gical program

visual spatial

scopic skills.

l tasks may a

ple repetition

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sing whethe

ter 4 is a Del

he simulatio

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6 is a random

for senior g

ons, conclusi

h technical c

, screening i

m may benef

l ability may

.

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ns. Within si

learning cur

chnical skill

r visual spat

lphi consens

on skills mos

udy, analyzin

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general surge

ion and futu

competence

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fit both the tr

y be appropr

to stratify d

imulated tec

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edical

rainee

riate

ifferent

hnical

parate

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3

basic laparoscopic and open surgical skills, and that these will be correlated with their potential to

reach proficiency in subsequent, more complex technical tasks.

Aims

1: To evaluate whether previous surgical experiences, non-surgical experiences and 2D-

3D visual spatial tests correlate with baseline laparoscopic skills in the novice surgical

trainee.

2: To identify the current components used in the general surgery selection process at

different institutions

3: To solicit program directors’ opinions on the proportion of trainees who do not achieve

the minimum technical standards expected at the time of graduation

4: To establish a national consensus on the desired attributes of GS candidates, and the

technical skills that would be most indicative of future performance

5: To quantify different learning patterns among trainees for both basic and more

advanced laparoscopic and open skills

6: To assess whether background characteristics or experiences explain potential

differences in performance.

7: To determine whether trainees stay within their learning patterns across simulated tasks

of varying difficulty (basic and advanced) and type (minimally invasive and open)

8: To identify a subset of trainees who consistently fail to reach proficiency on simulated

tasks and determine the features of their learning curves that separate them from their

peers

During surgical training

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4

Hypotheses

It is hypothesized that mental practice (MP) aimed at teaching the visual and kinesthetic cues for

the crucial operative steps of advanced laparoscopic surgery, specifically laparoscopic

jejunojenunostomy (JJ), will improve surgical performance and decrease stress levels

experienced by the surgeon during adverse situations. Furthermore, it is hypothesized that this

approach will improve surgeons’ non-technical skills thereby maintaining a competent level of

communication, leadership and decision-making during stressful situations.

Aims

1: To develop a MP script for the performance of an advanced laparoscopic procedure

2: To assess the effectiveness of MP on advanced laparoscopic technical skill performance

3: To determine whether MP is associated with differences in stress levels and improvement in

non-technical skills in a simulated crisis scenario.

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Chap2

2.1

Each y

gradua

or her

Physic

remed

The se

intervi

residen

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CaRM

incom

assess

institu

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pter 2: L

The curr

year in North

ate as compe

role is to en

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diation of trai

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iew for succ

ncy position

anadian Resi

MS system, w

ming trainees

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medical stud

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te is required

uses a simila

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inputted into

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ng 4 referenc

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is individual

am (R. C. o.

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ubmit a struct

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(CaRMS). E

rm, designed

gical program

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ar process ca

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o the CaRMS

14). Althoug

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de. At best, t

ining Evalua

wever neither

ess

grams endea

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heir field as

l is responsib

P. a. Surgeo

uctured writt

tured written

ir fourth year

Each surgical

d to collect i

m specifies w

complete th

alled The Na

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gh the each p

her than 3), t

ent applicatio

technical per

ation Report

r of these are

avor to selec

is an appoin

defined by t

ble to selecti

ons, 2015).

ten applicatio

n application

r enter a nati

l program is

information t

which object

he written ap

ational Resid

tform is outl

program’s re

the general f

on form doe

rformance m

s (ITER) or

e standardize

t trainees wh

nted position

the Royal Co

ion, evaluati

on followed

n for a surgic

ional match

required to

that will mak

tive and subj

pplication for

dent Matchin

lined in detai

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format is ver

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may be a sing

a subjective

ed or mandat

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ry

n a

gle

e

tory.

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6

2.1.1 CaRMS written application

1. Curriculum vitae

Verification of Canadian citizenship and medical school attendance.

All candidates require Canadian permanent residency status or citizenship to apply

for a post-graduate medical training position in Canada.

2. Clinical clerkship In Training Evaluation Reports (ITERS)

These are institution-specific rating scale assessment tools used by faculty to score

the student’s performance within the clinical setting.

3. Examinations

Medical Council of Canada Examination

Medical Council of Canada Qualifying Examination (MCCQE)

part 1 is a mandatory examination for all medical students before

entering supervised practice in a postgraduate training program. In

Canada releasing the exam score is optional.

United States Medical Licensing Examination (USMLE)

These examinations are mandatory to be licensed medical doctor

within the United States of America (USA). Part 1 of 3 is

mandatory for application to medical school. These examination

results are required for applicants applying for residency training in

the USA, however optional for student applying in Canada.

4. Clinical electives

These are clinical rotations during the final year of medical school in either

the discipline or a related discipline to which the candidate is applying.

5. Scholarships and awards

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7

The selection committees generally perceive both scholarly and

extracurricular achievements favorably.

6. Research experience and Publications/presentations

An interest in science and research with evidence of productivity also

increase the strength of the student’s application.

7. Work experience and Volunteer activity

Programs endeavor to recruit well-rounded applicants therefore

extracurricular activities contribute to assessing the applicant’s

experiences, interests and commitments outside of their university

degree(s).

8. Personal statement

A personalized one page description that explains the applicant’s

motivation(s) for applying to the program and their future goals.

9. Reference letters

Each applicant is required to submit 3-5 reference letters written by faculty

who can comment on the students’ clinical performance, ability to work

within the interdisciplinary heath care team and overall ability to excel

within the program.

Candidates then select the institutions to which they wish to apply and each institution reviews

the application as per their own selection criteria. If successful, the candidate is invited for a

formal in-person interview.

2.1.2 National interview process

The interview process differs between institutions across the country in terms of the number of

interviews required of each candidate, the size of each interview panel, and the interview

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8

questions asked. However, the end goal in most cases is to assess the candidates for

characteristics that are not easily obtained from the paper application including: communication

skills, enthusiasm for surgery, program fit and interpersonal , problem-solving skills. To do so,

each institution hosts an interview day where invited candidates attend in person. However,

similar to the paper application, technical performance is not routinely incorporated into the

interview process.

2.1.3 Informal discussion

Both medical and surgical programs acknowledge that the combined scores of the written

application and the interview do not always adequately assess each applicant holistically.

Therefore, informal discussions between the faculty and residents who have worked directly with

the students are also part of the selection process. Many of the applicants will travel to the

institutions they are most interested in applying to and work clinically with the residents and

faculty during a 2-4 week onsite elective. Over this time period, the candidates overall clinical

performance may uncover either desirable or undesirable traits that are helpful for the selection

committee. Therefore, feedback and input from these encounters are encouraged.

2.1.4 The Canadian national residency match

After the institution has combined the scores of the written application, the interview and the

informal discussions, a final rank list of candidates is submitted from each institution to CaRMS.

The process of the combining the scores is usually quantitative however the weight of the scores

that contribute to the total score are program specific and differ across institutions. Each student

also creates their own rank list and both lists are entered into the CaRMS Roth-Peranson

algorithm ("CaRMS: The Match Algorithm," 2015). On “national match day”, successful

candidates are matched to a program and institution, which they are contractually obligated to

attend for their residency training (Canadian Resident Matching Service, 2014).

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Theref

do not

neithe

the tec

2.1.5

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dicine. Thes

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the selection

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Page 26: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

were r

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Page 27: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

overal

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their clinica

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2011).

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Page 28: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

the in-

applic

2.1.5.

Refere

to asse

faculty

future

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Refe.4

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ere found to

(r=0.35), com

07). Furtherm

ignificant rel

ment and acu

ffer, 2002).

reference lett

e letters diff

etters for asse

s deeply root

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parameters

s do no adeq

their historic

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pplication pa

s perceived b

te predictive

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er the first an

orrelations of

Hughes, 198

be weakly c

mmunication

rmore, refere

lationship w

umen, patien

ters is report

fered signific

essment (Dir

ted in the tra

inical perfor

and their a

quately predi

c presence a

gram to the

2008)

ackage, and

by their supe

e value in ter

pecialties. W

nd third year

f r = 0.25 an

88). Similarl

correlated w

n (r=0.26) an

ence letter sc

with faculty-a

nt rapport, su

ted by Dirsc

cantly betwe

rschl & Ada

aditional app

rmance.

ability to p

ict future clin

and lack of n

12

are used

ervising

rms of

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r of

d r =

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with a

nd

cores of

assessed

urgical

chl et al.

een

ams,

plication

predict

nical

new

Page 29: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

predic

study t

by foc

assess

is an e

surgeo

further

medic

2.2

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to ach

trainee

techni

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ieve technic

es between 1

cal proficien

tunately, the

be how the r

phenomenon

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oscopic clip a

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scopy, with

d, Sunil Aup

ation environ

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their predicti

chnical skill.

he realm of se

mponent of su

edical doctor

hat the candi

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1972 and 200

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e authors of t

residents we

has been no

ning curves

Trainer – Vi

did not show

n et al. repor

and cut task

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petence in sh

the latter com

plish, Harind

nment, these

risk for not

knowledge,

replace them

ive value, I h

Technical s

election. Op

urgical pract

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02, and foun

mpleting 5 y

this study di

re assessed f

oted in the si

for 37 traine

irtual Reality

w any skill im

rted that 20%

after 30 tria

ery, Alvand e

houlder arth

mmonly con

derjit Gill, &

e results sugg

reaching tec

no studies t

m. Although

have chosen

skill can be o

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ting technica

ed for surgic

e success

at even with

ri et al. perfo

nd that appro

ears of surgi

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for proficien

imulation lab

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et al. reporte

hroscopy, and

nsidered to b

& Jonathan R

gest that app

chnical comp

o date have

h many areas

n to add to th

objectively m

patients and r

e of the key e

al skill into t

cal training a

in acquir

continued pr

ormed a long

oximately 5-

ical training

e ‘technical c

ncy, limiting

b setting as w

ng 6 distinct

R). The autho

t (Grantcharo

nts did not re

hijven & Jak

ed that after

d 25% did n

be less techn

Rees, 2011).

proximately

petence, even

investigated

s of the selec

he existing lit

measured an

reaching tec

elements tha

the selection

are best suite

ring techn

ractice, not a

gitudinal stu

10% of resid

(Cushchieri

competence’

g interpretatio

well. Grantc

t tasks on th

ors found th

ov & Funch

each proficie

kimowicz, 2

30 repetition

ot reach com

nically deman

Although m

5-35% of th

n with practi

d the implica

ction process

terature in th

d is currentl

hnical comp

at differentia

n may contrib

ed for this ar

nical skill

all trainees a

udy of surgic

dents did no

i, 2003).

nor did they

on of their fi

harov et al.

e Minimally

hat after 10 tr

-Jensen, 200

ency on the

004). With r

ns, 35% of tr

mpetence for

nding (Abtin

mostly limited

e surgical re

ice.

ations of a su

13

s require

his field

y not

petence

ates a

bute to

rea of

are able

cal

t reach

y

findings.

y

rials,

09).

respect

rainees

r knee

n

d to the

esident

ubset of

Page 30: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

surgic

reason

frustra

difficu

increa

a non-

most i

compl

terms

identif

a surg

Addin

approa

United

testing

import

either

Grantc

adding

To thi

marke

part of

innate

2.3

2.3.1

For a l

al residents

nable to expe

ation on the p

ult to teach. F

ase frustration

-surgical pro

importantly,

lication rates

of the outco

fying trainee

ical residenc

ng a technica

ach to screen

d Kingdom,

g at the time

tance of test

surrogate m

charov, 2016

g a surrogate

s end, a syst

ers including

f the selectio

technical sk

Potentia

process

Self-s

long time, su

failing to rea

ect that these

part of surge

From the res

n, promote a

ogram or dro

recent evide

s (Birkmeyer

mes of patie

es that will b

cy.

al aptitude as

ning for inco

Ireland and

of selection

ting technica

markers or sim

6). Given the

e technical ap

tematic revie

g personal ch

on criteria fo

kill ability.

al predicto

election as

urgical discip

ach surgical

e individuals

eon-teachers

sident perspe

a sense of in

pping out of

ence suggest

r et al., 2013

ent care. The

be unable to r

ssessment tes

oming traine

Australasia

n for some of

al potential ra

mulated tech

e current No

ptitude test t

ew of the pub

haracteristics

or applicants

ors of tech

s a predicto

plines have t

proficiency

s absorb grea

s and co-resid

ective, strugg

adequacy, an

f clinical trai

ts that poor t

3), potentiall

erefore, there

reach techni

st to the exis

es that may

have all repo

f their surgic

ather than le

hnical tasks (

orth America

to the intervi

blished litera

s and cogniti

to surgical t

hnical ab

or of techn

thought of th

by the end o

ater program

dents as a re

gling to gain

nd increase t

ining all tog

technical ski

ly resulting i

e are several

ical proficien

sting selectio

have difficu

orted ongoin

cal programs

earnt skills fo

(Louridas, Sz

an selection p

iew process

ature was pe

ive tests that

training prog

bility for u

nical abiliy

hemselves a

of training. H

m resources,

esult of being

n technical p

the likelihoo

ether. Final

ill in staff su

in adverse co

l potential ad

ncy, prior to

on process m

ulties in the o

ng use of tec

s. These coun

for incoming

zasz, de Mo

process desc

would be a

erformed to i

t could poten

grams, and t

use during

as distinct fro

However, it

and engende

g perceived

proficiency m

od of transfe

lly, and perh

urgeons can i

onsequences

dvantages to

them embar

may be a feas

operating roo

chnical aptitu

ntries empha

trainees usi

ontbrun, Harr

cribed in sec

feasible app

identify surr

ntially be use

that may pre

g the sele

om medical

14

is

er

as

may

erring to

haps

increase

s in

rking on

sible

om. The

ude

asize the

ng

ris, &

ction 2.1,

proach.

rogate

ed as

dict

ection

Page 31: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

15

specialties. Specifically, surgeons take pride in the ability to work well with their hands, often

considering themselves ‘doers’ rather than just ‘thinkers.’ Intuitively, one might expect that

medical students recognize this characteristic of these disciplines, and studies have shown that

students that apply to surgical specialties have a higher self-perceived confidence in dexterity and

their ability to ’work well with their hands‘ as compared to students entering other medical

specialties (Van Hove et al., 2008). Unfortunately, studies have shown that there is no correlation

between students’ subjective self- assessment, and their objective scores on dexterity tests and

simulated surgical task performance. Harris et al. had forty-eight trainees in surgery, psychiatry,

anesthesiology and medicine undergo objective testing of manual dexterity and hand eye

coordination. The authors found no difference in performance between surgical and no-surgical

trainees (Harris, Herbert, & Steele, 1994). With respect to performance on simulated surgical

tasks, Panait et al. compared basic virtual reality (VR) skills in students entering surgical training

to those displayed by residents after a year of internal medicine residency, and found that the

internists performed better on three out of four VR tasks (L. Panait et al., 2011). Cope et al.

assessed 22 interns, where seven of 10 interns interested in surgery rated themselves as naturally

dexterous and only 2 of 12 interns interested in non-surgical disciplines felt they had this ability.

However, no significant differences in performance of basic VR skills tasks were identified

between the groups, suggesting that higher self-perceived natural dexterity does not confer any

objective advantage in technical skill (Cope & Fenton-Lee, 2008). Given these findings, self-

selection cannot be relied upon to ensure that surgical trainees have a high potential for technical

skill performance.

The differences between self-perceived and objective technical aptitudes may be explained by the

relative inexperience of incoming trainees. Even by the end of medical school, students have

typically had limited opportunity to practice surgical skills in the operating room, and are

unlikely to have obtained an objective evaluation of their technical ability that would allow them

to make an informed decision concerning their skills. Therefore, it has become clear that surgical

programs cannot rely on students’ perceptions of their technical skill as a surrogate marker for

their future technical performance during training. Instead, if technical ability is going to be

incorporated into the selection process, then objective assessment of this domain will be essential.

Page 32: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

2.3.2

This p

Montb

Ann Su

2.3.2.

Becom

fiscal r

during

often,

2013;

the tea

knowl

Johnso

time a

this im

Furthe

care an

surgic

whole

2007;

2013).

1200 p

burden

year (B

agree t

who ar

progra

likely

Surrog

portion of thi

brun S, Harri

urg. 2015 Ju

Back.1

ming a surge

resources. S

g these years

results in co

Eddleman, A

aching and m

ledge, techni

on, Marquez

and energy to

mpart operati

ermore, altho

nd decrease

al procedure

(Babineau e

Offner, Haw

. The cost of

per hour, (M

n of $53 mil

Bridges & D

that surgical

re ready to e

ams rely on a

to succeed.

gate marke

is chapter ha

is KA, Gran

une 15

kground

on requires p

urgical resid

s, trainees wo

ountless pers

Aoun, & Bat

mentorship o

ical skills, an

z, & Feldman

o deliver form

ive and non-

ough outside

length of sta

es, which im

et al., 2004;

wkes, Maday

f operating ro

Macario, 2010

lion attribute

Diamond, 199

l training is w

enter indepen

a structured

ers as predi

as been bee p

ntcharov T. C

prolonged tr

dency genera

ork within a

sonal sacrific

tjer, 2013; F

of surgical fa

nd surgical j

n, 2013). In

mal and info

-operative su

e of the oper

ay, they sign

mpacts both th

Chamberlain

yag, Seale, &

oom time in

0) resulting i

ed to the ext

99). Most su

worth the sa

ndent practic

selection pro

ictors of fu

previously pu

Can we predi

rainee and fa

ally involves

grueling, fa

ces and high

Franke et al.,

aculty to dire

udgment (Sa

order to fill

ormal teachin

urgical judgm

ating room r

nificantly inc

he surgeon e

n, Patil, Min

& Maines, 20

n the United

in an estima

tra operating

urgical reside

crifices as lo

ce. To ensur

ocess intend

uture techn

ublished as L

ict technical

aculty comm

s 5 to 8 year

ast-paced, hig

h burnout rate

2013). Duri

ect and foste

anfey, Holla

this role, sur

ng and techn

ment to the n

residents imp

crease operat

educator and

nja, & Korde

003; Sasor, F

States is rep

ated cumulat

g room time u

ents, surgica

ong as it pro

re this end go

ded to identif

nical ability

Louridas M,

l aptitude? A

mitment, as w

s of speciali

gh-stakes en

es (M. Arora

ing this time

er the acquisi

ands, & Gant

rgeon educa

nical skill tra

next generati

prove the ef

tive time and

d the health c

ears, 2012; H

Flores, Wood

ported to be a

tive nationw

used to teach

al faculty and

oduces safe, c

oal is reache

fy candidate

y

, Szasz P, de

A systematic

well as consi

zed training

nvironment, w

a, Diwan, &

e, residents r

ition of clini

tt, 2013; Stra

ators dedicate

aining, and t

ion of surgeo

fficiency of p

d the cost of

care system

Harrington et

den, & Thol

approximate

wide annual c

h residents e

d economist

competent su

ed, surgical

s who are m

16

e

review.

derable

and

which

& Harris,

rely on

ical

aus,

e both

through

ons.

patient

f

as a

t al.,

lpady,

ely $900-

cost

each

ts would

urgeons

most

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17

The selection processes differ widely between countries and institutions

(Accreditation Council for Graduate Medical Education, 2013; CaRMS, 2016; R. A. C. o.

Surgeons). However, common to all programs is the desire to select a strong cohort of

professionals who are able to learn quickly, work well within the healthcare team, make safe and

appropriate clinical decisions, and have the ability to learn the necessary technical skills to

operate independently. While technical skill is not commonly a part of the selection process in

North America, growing evidence suggests that adding a technical component to the existing

selection process should be considered (Cushchieri, 2003; Grantcharov & Funch-Jensen, 2009;

Mattar et al., 2013; M. P. Schijven & Jakimowicz, 2004). This added element is pertinent to the

modern day trainee who is required to meet technical competency despite restricted resident work

hours, introduction of more complex surgical procedures and more diverse application of difficult

minimally invasive techniques (Biondi et al., 2013; Khatuja et al., 2014; Levine & Spang, 2014;

Richards et al., 2015).

Increasing evidence demonstrates that even with continued practice, not all surgical trainees will

achieve technical competence in the operating room by the end of training. Technical competence

has been defined as the ability to complete tasks or procedures safely and independently (Szasz,

Louridas, Harris, Aggarwal, & Grantcharov, 2015). A single longitudinal study suggested that 5

to 10% of trainees do not reach technical proficiency after completing a 5 year training program

(Cushchieri, 2003). Furthermore, a North American survey of fellowship program directors

showed that 21% of fellows were unprepared for the operating room with 66% unable to

operative independently for more than 30 consecutive minutes (Mattar et al., 2013). In the

simulation setting, a number of studies suggest that somewhere between 8.1 to 20% of residents

do not reach competence despite ongoing practice of the simulated tasks (Abtin Alvand, Sunil

Auplish, Harinderjit Gill, & Jonathan Rees, 2011; Grantcharov & Funch-Jensen, 2009; M. P.

Schijven & Jakimowicz, 2004). This evidence suggests that a proportion of the resident training

pool is at risk for not reaching technical competence. Given the individual and faculty

commitment as well as the fiscal resources required to train residents, adding a measure of

technical skill to the selection process to help identify these individuals and direct them early on

to other medical specialties. This approach will benefit the trainees, the educational system and

the public (Birkmeyer et al., 2013).

Page 34: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

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19

All original studies that explored the relationship between technical performance in the

simulation setting or the operating room, and innate abilities, background characteristics, and/or

previous operative and non-operative experiences, were considered eligible for inclusion. Studies

that evaluated medical students or surgical trainees (i.e. those that had not yet completed surgical

specialty training) were included involving any of the surgical disciplines. No restrictions were

placed based on the type of technical task evaluated (e.g. open, laparoscopic or endoscopic).

Eligibility was limited to those studies with published abstracts or full text manuscripts available

in English. Review articles, expert opinions, case reports and editorials were excluded.

Data extraction

The following data were extracted: 1) study features including year of publication, study design,

duration and statistical analyses, 2) details of study population including demographics and

sample size, 3) surrogate predictors of technical skill and assessment including participant

characteristics, visual spatial ability, psychomotor ability (excluding surgical simulation tasks

because surrogates designed to simulate operative movements were the focus of this review), and

depth perception, 4) type(s) of surgical setting(s) used for assessment, such as virtual reality

simulators, box trainers, porcine models or patient operations 5) technical skills assessment

measures such as global rating scales, procedures specific checklists, time, or computer generated

outputs including path length, path angle and error scores.

Assessment of methodological quality

The quality of each selected article was individually assessed by two reviewers (M.L. and P.S.)

using the Grading of Recommendations Assessment, Development and Evaluation (GRADE)

system (Guyatt, Oxman, Kunz, et al., 2008; Guyatt, Oxman, Vist, et al., 2008). Using this

framework, quality was assessed by initially stratifying studies by design (randomized trial versus

observational study), followed by ranking the evidence up or down based on five defined

categories including: limitations, inconsistency, indirectness, imprecision and publication bias

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(Guya

betwee

Figure

2.3.2.

In tota

118 stu

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(Dimit

2004;

et al.,

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Madan

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att G. et al., 2

en the review

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Resu.3

al 8035 citati

udies remain

quently revie

mized contro

(Dashfield, L

triou, Nighti

L. Enochsso

2003; Hassa

Hislop et al

n, Harper, Fr

ey, Frisby, &

2011). Any d

wers.

agram of sea

ults

ions were in

ned potentia

ewed, with 5

olled trials (B

Lambert, Ca

ingale, Khaz

on et al., 200

an et al., 200

., 2006; John

rantzides, &

& Darzi, 200

discrepancie

arch strategy

itially identi

lly eligible f

52 included i

Brandt & Da

ampbell, & W

zali, Hatzige

06; Gettman

07; Hedman,

nson et al., 2

Tichansky,

03; Shah, Pau

s in quality w

y

ified. After s

for inclusion

in the final r

avies, 2006;

Wilkins, 200

orgiades, &

et al., 2003;

Klingberg,

2004; Macmi

2008; Nomu

ul, et al., 200

were resolve

sequentially

n. Full text ve

review (Figu

Hedman et

01), 21 were

Prendiville,

; Gibbons, B

Enochsson,

illan & Cusc

ura et al., 20

03; Steele, W

ed by consen

screening by

ersions of th

ure 1). Of the

al., 2006), 1

cross-sectio

2009; Lars

Baker, & Ski

Kjellin, & F

chieri, 1999;

008; Nugent

Walder, & H

nsus discuss

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hese studies w

e 52 studies,

was a pre-p

onal studies

Enochsson e

nner, 1986;

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; Madan et a

et al., 2012;

Herbert, 1992

20

ion

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2 were

post

et al.,

Grober

ai,

al., 2005;

; Shah,

2; Tang

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21

et al., 2014; Tangchitnob, Solnik, Saad, Rad, & Ogunyemi, 2011) and 28 were prospective cohort

studies (Buckley et al., 2013; Buckley et al., 2014; A. G. Gallagher, Cowie, Crothers, Jordan-

Black, & Satava, 2003; Groenier, Schraagen, Miedema, & Broeders, 2014; Hedman et al., 2006;

Hoffer & Hsu, 1990; M. Keehner, Lippa, Montello, Tendick, & Hegarty, 2006; M. M. Keehner et

al., 2004; Kolozsvari et al., 2011; Masud, Undre, & Darzi, 2012; Marlies P. Schijven,

Jakimowicz, & Carter, 2004; Schueneman, Pickleman, Hesslein, & Freeark, 1984; Van Herzeele

et al., 2010; Van Hove et al., 2008; Wanzel, Hamstra, Anastakis, Matsumoto, & Cusimano, 2002;

Wanzel et al., 2003; White & Welch, 2012). When assessed using the GRADE system, the 2

included RCTs were rated as high quality evidence, 31 studies as low quality evidence, and the

remaining 20 as very low quality evidence. The most common reason for downgrading the

quality score was a lack of blinding of assessors when using a subjective assessment instrument

(20 of 52 studies). A detailed summary of the quality assessment organized by subjective or

objective assessment method can be found in Table 1.

Potential predictors of technical ability identified in these studies can be divided into: 1)

information generated from participant questionnaires such as background characteristics, non-

surgical experiences, and surgical experiences (Table 2); and 2) validated cognitive tests designed

to test innate visual spatial ability (Table 3), dexterity (Table 4), human basic performance

resources, and other related characteristics (i.e. depth perception, working memory).

Participant questionnaires

A total of 14 studies attempted to predict surgical performance based on responses to participant

questionnaires. Of the 23 potential predictors studied, only video gaming consistently showed a

significant correlation with initial technical skill. However, Paschold and Dimitriou both found

that gamers lost their initial technical advantage once non-gamers were given the opportunity to

practice (Dimitriou et al., 2009; Paschold et al., 2011). All the other characteristics collected by

participant questionnaires (e.g. age, handedness, experience typing, sports etc.) failed to

consistently predict technical performance (Table 2) (Banerjee, Cosentino, Hatzmann, & Noe,

2010b) .

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Cognitive tests

Four different categories of cognitive tests, aimed at testing innate abilities perceived to be

important in acquiring surgical skill, were identified: 1) visual spatial, 2) dexterity, 3) human

basic performance resources and 4) other.

Visual spatial

A total of 38 studies using twenty-five different visual spatial tests (VST) were identified that

have been evaluated in terms of their ability to predict technical performance. Of the 25 VSTs, 2

have repeatedly shown a positive relationship with technical performance. Specifically: the

PicSOR test of perceptual skill (5 of 8 studies) (Buckley et al., 2013; Buckley et al., 2014; A. G.

Gallagher et al., 2003; M. Keehner et al., 2006; Kolozsvari et al., 2011; McClusky, Ritter,

Lederman, Gallagher, & Smith, 2005; E. Matt Ritter, McClusky, Gallagher, Enochsson, & Smith,

2006; D. Stefanidis, Korndorffer Jr, et al., 2006), and the mental rotation test (MRT) (6 of 9

studies) (Brandt & Wright, 2005; Deary, Graham, & Maran, 1992; Groenier et al., 2014; Hedman

et al., 2007; M. Keehner et al., 2006; Luursema, Buzink, Verwey, & Jakimowicz, 2010; D.

Risucci, Geiss, Gellman, Pinard, & Rosser, 2001; Wanzel et al., 2002; Wanzel et al., 2003).

When stratified by technical skill category, PicSOR demonstrated a positive relationship for

laparoscopic skills learned in the box trainer and virtual reality simulator.(Buckley et al., 2013;

Buckley et al., 2014; A. G. Gallagher et al., 2003; Kolozsvari et al., 2011; McClusky et al., 2005)

In contrast, MRT has demonstrated a positive relationship with open surgical skills.(Wanzel et

al., 2002; Wanzel et al., 2003) All other visual spatial predictors were either only evaluated in a

single study, or failed to show a relationship with technical performance in the majority of studies

(Table 3) (Buckley et al., 2013; Buckley et al., 2014; Deary et al., 1992; Dimitriou et al., 2009; L.

Enochsson et al., 2006; Groenier et al., 2014; M. Keehner et al., 2006; M. M. Keehner et al.,

2004; Kolozsvari et al., 2011; Luursema et al., 2010; McClusky et al., 2005; Murdoch,

Bainbridge, Fisher, & Webster, 1994; Neumann et al., 2005; Nugent et al., 2012; D. A. Risucci,

2002; E. Matt Ritter et al., 2006; Marlies P. Schijven et al., 2004; Schueneman, Pickleman, &

Freeark, 1985; Schueneman et al., 1984; Steele et al., 1992; D. Stefanidis, Korndorffer Jr, et al.,

2006; Tang et al., 2014; Van Herzeele et al., 2010; Wanzel et al., 2002).

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Dexterity tests

A total of 19 studies using twenty different surrogate tests of dexterity were identified. An

adaptive tracking task (ADTRACK2) was significantly associated with technical performance in

2 of 2 studies, one testing performance on the reef knot and endoscopic sinus surgery (Dashfield

et al., 2001; Dashfield & Smith, 1998). The grooved pegboard test was significantly associated in

4 of 5 studies, however, in these studies, the significant association was either limited to the

initial trial of the task, or to a single task sub-score in the areas of laparoscopy and endoscopy

(Nugent et al., 2012; D. Stefanidis, Korndorffer Jr, et al., 2006; Van Herzeele et al., 2010). The

seventeen remaining dexterity tests were either only evaluated by single study or failed to find a

relationship with technical performance (Table 4) (Buckley et al., 2013; Buckley et al., 2014;

Hoffer & Hsu, 1990; Macmillan & Cuschieri, 1999; Masud et al., 2012; Murdoch et al., 1994;

Neumann et al., 2005; Nugent et al., 2012; Marlies P. Schijven et al., 2004; Schueneman et al.,

1985; Schueneman et al., 1984; Steele et al., 1992; D. Stefanidis, Korndorffer Jr, et al., 2006; Van

Herzeele et al., 2010; Wanzel et al., 2003).

Human basic performance resources

Three studies evaluated association between human basic performance resources (BPRs) and

technical performance. BPRs are a group of simple tests including: simple visual-hand response

speed, visual information processing speed, upper extremity neuromotor channel capacity, upper

extremity steadiness and grip strength. Overall, BPRs accurately predicted technical performance

in 62 to 75% of cases. They over predicted performance in 14 to 17% of cases, and under

predicted performance in 18 to 21% of cases in the areas of laparoscopic and endoscopy

(Gettman et al., 2003; Johnson et al., 2004; Matsumoto et al., 2006).

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Other innate abilities

Twelve additional tests of innate ability, which did not fit into the aforementioned categories,

were identified. Two of these demonstrated a positive association with technical performance,

namely: tonic accommodation, defined as a stable parameter that the eye adopts in the absence of

stimulation; and abstract reasoning, which investigates an individual’s non-verbal reasoning and

is related to intelligence quotient (M. Keehner et al., 2006; Marlies P. Schijven et al., 2004; Shah,

Buckley, et al., 2003). Tonic accommodation was significantly correlated with the error score of

the right hand on a virtual reality simulator. However, after the 5th repetition, the relationship

was no longer significant (Shah, Paul, et al., 2003). Abstract reasoning was shown to have a

positive correlation with laparoscopic cholecystectomy performance on a virtual reality simulator

(Marlies P. Schijven et al., 2004). The remaining 10 tests failed to demonstrate an association

with technical performance. These included: information management (Dashfield & Smith,

1998), stereoscopic vision (Deary et al., 1992), verbal reasoning (Groenier et al., 2014), working

memory (Hedman et al., 2006), flow and mental strain (Hedman et al., 2006), organizational

planning (Van Herzeele et al., 2010), memory test (Hedman et al., 2006), flexibility of closure

(Luursema et al., 2010), personality test (Neumann et al., 2005) and vigilance endurance test

(Neumann et al., 2005).

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Table 1: GRADE classification and assessment method of included studies organized by subjective or objective assessment method

Study design

Limitations Precision Consistency Directness Publication

bias Grade

*Studies n=52

Objective assessment

2 RCT not serious no imprecision Consistent direct not detected high 31,32

22 Obs not serious no imprecision Consistent direct not detected low

71,83,39,40,63, 32,46,67,69,77,73,82,51,52,80,74,54,34,72,37,5

8,60

5 Obs not serious imprecision Consistent direct not detected very low 64,44,59,70,35

Subjective assessment

2 Obs not serious no imprecision Consistent direct not detected low 43,53

13 Obs serious no imprecision Consistent direct not detected very low 42,33,75,38,41,66,47,68,48,84,81,55,79

2 Obs not serious imprecision Consistent direct not detected very low 36,56

Combination of objective and subjective assessment

2 Obs not serious no imprecision Consistent direct not detected low 61,62

4 Obs serious no imprecision Consistent direct not detected very low 49,50,65,57

RCT - Randomized controlled trial; Obs - Observational study (cross-sectional, cohort, case-series, pre-post quasi-experimental); *Studies - references within the body of the manuscript.

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Table 2: Summary of background characteristics, surgical and non-surgical experiences as predictors of surgical performance collected by participant questionnaires

Count Potential predictors (n=23) Number

of studies

Total number of participants (number of

participants in significant studies)

Number of studies reporting a significant association

(percent; weighted percent)

Number of studies that failed to identify a significant

association (percent; weighted percent)

*Studies n=14

Background characteristics

1 Gender 9 493 (272) 3 (33.3; 55.2) 6 (66.6; 44.8) 71,49,60,38,58,79,

74,72,69

2 Handedness 6 651 (0) 0 6 (100.0; 100.0) 71,50,70,60,38,79

3 Age 5 548 (35) 1 (20.0; 6.4) 3 (80.0; 93.6) 71,70,60,79,72

5 Surgical career aspirations 3 401 (32) 1 (33.3; 8.0) (66.6; 92.0) 70,69,51

6 Self-reported motor skills 3 390 (43) 1 (33.3; 11.0) 1 (66.6; 89.0) 72,70,51

7 Glove size 3 57 (11) 1 (33.3; 19.3) 1 (66.6; 80.7) 71,74,72

9 Weight 2 46 (0) 0 2 (100.0; 100.0) 71,72

10 Vision 2 36 (0) 0 2 (100.0; 100.0) 71,74

11 Height 2 46 (0) 0 2 (100.0; 100.0) 71,72

12 Completion of surgical internship 1 326(0) 0 1 (100.0; 100.0) 70

Non-surgical experiences

13 Gaming experience (TV/video/computer) 9 673 (32) 7 (88.9; 95.2) 2 (11.1; 4.8) 69,46,50,51,70,60,

38,37,72

14 Musical instrument 7 604 (0) 0 7 (100.0; 100.0) 71,49,50,51,70,60,

38

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15 Typing 3 175 (0) 0 3 (100.0; 100.0) 49, 50, 38

16 Sport 2 82 (0) 0 2 (100.0; 100.0) 71,38

17 Chopsticks 2 118 (67) 1 (50.0; 56.8) 1 (50.0; 43.3) 49, 50

18 Sewing 2 118 (0) 0 2 (100.0; 100.0) 49,50

19 Driving 2 100 (43) 1 (50.0; 43.0) 1 (50.0; 57.0) 51,38

20 Experience operating tools 2 118 (0) 0 2 (100.0; 100.0) 49,50

21 Billiards 1 21(21) 1 (100.0;100.0) 0 72

Surgical experiences

22 Laparoscopic experience 2 46(25) 1 (50.0;54.3) 1 (50.0; 45.65) 71,72

23 Endovascular experience 1 61(0) 1 (100.0;100.0) 0 46

*Studies - references within the body of the manuscript

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Table 3: A summary of visual spatial tests as predictors of surgical performance

Description of innate ability

Number of studies

Total number of participants (number of

participants in significant

studies)

Number of studies

reporting a significant association (percent; weighted percent)

Number of studies that failed to

identify a significant association

(percent; weighted percent)

Number of studies stratified by type of technical skill

Number of studies reporting a significant

association stratified by technical skill category

(percent)

Number of studies that failed to

identify a significant association stratified

by technical skill category (percent)

*Studiesn=38

Count Visual spatial test (n=25)

1 Card rotation A picture of a 2-dimensional shape is set as the reference figure. Participants are then required to indicate whether they need to flip or rotate eight additional 2-dimensional shapes in order to match the reference figure. The test is completed in a set time and a score is generated on accuracy.

10 229 (68) 5 (50.0;30.0) 5 (50.0;70.0)

Open surgery

Laparoscopic skills

VR laparoscopy

VR endoscopy

1

2

6

2

0 (0.0) 1 (50.0)

3 (50.0)

1 (50.0)

1 (100.0) 1 (50.0)

3 (50.0) 1 (50.0)

75,73,$72,40,77,69,52,61,62

,64

2 Mental rotation test

Participants are shown two three-dimensional images and asked to compare the images and state whether they are the same image or the mirror image. The test is completed in a set time and a score is generated on accuracy.

9 389 (288) 6 (66.7;74.0) 3 (33.3;26.0)

Open surgery Laparoscopic skills VR laparoscopy

VR endoscopy

413

2

3 (75.0) 1 (100.0)

1 (33.3)

1 (50.0)

1 (25.0) 0 (0.0)

2 (66.7)

1 (50.0)

75,76,57,56,$45,77,64

,67,80

3 PicSOR Participants are required to move a spinning arrow on top of a cube, until the angle between the two objects is 90 degrees. The closer the approximate angle is to the actual angle the higher the score.

8 255 (206) 5 (62.5;80.8) 3 (37.5;19.2)

Laparoscopic skills VR laparoscopy

VR endoscopy

3

4

2

2 (66.7)

3 (75.0)

0 (0.0)

1 (33.3

1 (25.5)

2 (100.0)

63,73,39,74,72,69,

61,62

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4 Cube comparison

Participants are asked to compare two three dimensional cubes with a letter on each surface and indicate whether they are the same cube or a different cube. The test is completed in a set time and a score is generated on accuracy.

8 181 (55) 3 (37.5;30.4) 5 (62.5;69.6)

Open surgery Laparoscopic skills VR laparoscopy VR endoscopy

2241

0 (0.0) 0 (0.0)

2 (50.0) 1 (100.0)

2(100.0) 2 (100.0) 2 (50.0) 1 (100.0)

75,56,73,74,$72,69

,61,62

5 Map planning Participants need to find the shortest route between two points while avoiding road blocks and passing along the side of the building. This task is scored on time and accuracy.

8 163 (74) 4(50.0;45.4) 4 (50.0;54.6)

Open surgery Laparoscopic

skills VR laparoscopy VR endoscopy

VR endovascular

22601

0 (0.0) 0 (0.0)

3 (50.0) 0 (0.0)

1 (100.0)

2 (100.0) 2 (100.0) 3 (50.0) 0 (0.0)

1 (100.0)

75,73,$72,65,69,52

,61,62

6 Surface development

Participants are given a 2-dimensional blueprint to fold in three-dimensional space and match to the appropriate 3-dimensional picture. This task is scored on time and accuracy.

5 164 (91) 3(60.0;44.5) 2 (40.0;55.5)

Open surgery Laparoscopic skills VR laparoscopy

203

1 (50.0) 0 (0.0)

2 (67.7)

1 (50.0) 0 (0.0)

1 (33.3)

75,57,61,62,64

7 Minnesota paper form board test

Participants are given a set of different parts and are required to choose which of the 5 arrangements could be made up of these parts. This task is scored on time and accuracy.

5 339 (157) 2 (40.0;46.3) 3 (60.0;53.7) Open surgery Laparoscopic skills

41

2 (50.0) 0 (0.0)

2 (50.0) 1 (100.0)

55,79,$72,75,56

8 Thurstone hidden figures test

Participants are given a reference image and are required to indicate whether the reference image is imbedded in the subsequent more complex image. Time and number of correct responses is the final score.

5 344 (73) 1 (20.0;27.2) 4 (80.0; 78.8) Open surgery VR endoscopy

41

1 (25.0) 1 (100.0)

3 (75.0) 0 (0.0)

42,36,77,55,79

9 Paper folding A piece of paper is folded in a specific way and then hole punched through. The participant uses this reference image to match which piece of paper would correspond to the paper when unfolded. Time and number of correct responses is the final score.

3 121 (48) 1 (33.3;39.7) 2 (66.7;60.0)

Open surgery Laparoscopic skills VR laparoscopy

1

1

1

0 (0.0) 1 (100.0)

0 (0.0)

1 (100.0) 0 (0.0)

1 (100.0) 75,68,64

10 Gestalt completion test

Participants are given a drawing of a fragmented object and are required to try and identify what it is. Time and number of correct responses is the final score.

3 191 (107) 1(33.3;56.0) 2 (66.6;44.0) Open surgery Laparoscopic skills

21

(0.0) 1 (100.0)

2 (100.0) 0 (0.0)

56,57,80

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11 Guay’s visualization of viewpoints test

Participants are shown a picture of a cube with an image inside the cube. They are then shown the same cube in a different orientation and required to identify the corners of the cube where the new view was taken. Time and number of correct responses is the final score.

2 22(22) 1 (100.0;100.0) 0 VR laparoscopy 1

1 (100.0)

0 (0.0) 67

12 Rey-Osterrieth complex figure test

Participants are asked to refer to a complex line drawing and first draw it out by referring to the original image and then again by memory. Accuracy is the final score.

2 41 (20) 1 (50.0;48.8) 1 (50.0;51.2) Laparoscopic skillVR laparoscopy VR Endovascular

111

0 (0.0) 0 (0.0)

1 (100.0)

1 (100.0) 1 (100.0)

0 (0.0) 72,65

13 Space relations test

Participants are required to compare letters, numbers and/or objects quickly and accurately in a certain amount of time. Time and number of correct responses is the final score.

2 70 (37) 1 (50.0;52.9) 1 (50.0;47.1) Open surgery VR laparoscopy

11

1 (100.0) 0 (0.0)

0 (0.0) 1 (100.0)

81,54

14 Perceptual speed

Participants are given a two-dimensional pattern and asked to fold it and rotate the shape in order to match it to a three-dimensional image. Time and number of correct responses is the final score.

2 68 (15) 1 (50.0; 22.1) 1 (50.0;77.9) VR laparoscopy VR endoscopy

11

0 (0.0) 1 (100.0)

1 (100.0) 0 (0.0)

77,64

15 4 "magic eye" images

Participants are given four separate three dimensional images hidden within a 2-dimensional pattern and are asked to identify each image. Time and number of correct responses is the final score.

1 57 (0) 0 1 (100.0;100.0) Laparoscopic skills

1 0 (0.0) 1 (100.0) 38

16 Adapted Corsi Block Tapping Test

A monitor displays nine dice cubes in random position. A certain number of these dice are highlighted in a given order, the participant is then required to point out these dice in the same order. If more than three are correct the number of dice increases on the subsequent turn.

1 53 (0) 0 1 (100.0;100.0) VR laparoscopy 1 0 (0.0) 1 (100.0) 64

17 Choosing a path

The participant is given a diagrammed imagine of a city map. They must then plan routes between two set points

1 20 (0) 0 1 (100.0;100.0) Open surgery 1 0 (0.0) 1 (100.0) 75

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and avoid any roadblocks. This task is scored on time and accuracy.

18 Five porteus maze

Participants are required to trace their way through a complex maze, without crossing solid lines until they arrive at the exit point. This task is scored on time and accuracy.

1 140(0) 0 1 (100.0;100.0) Open surgery 2 0 (0.0) 2 (100.0) 55,75

19 Matrix reasoning

Participants are required to fill in a missing shape within a group of shapes and are given a number of choices. This task is scored on time and accuracy.

1 21 (0) 0 1 (100.0;100.0) Laparoscopic skills VR laparoscopy

1

1

0 (0.0) 0 (0.0)

1 (100.0) 1 (100.0

$72

20 Phase discrimination test

Participants are required to discriminate a one-dimensional pattern presented in two-dimensional noise. This exercise is scored on time and accuracy.

1 47 (0) 0 1 (100.0;100.0) Open surgery 1 0 (0.0) 1 (100.0) 57

21 Shape memory test

Three shapes are presented to the participants, then hidden. The participant is then required to identify the same three shapes in the same order by memory. This task is scored on time and accuracy.

1 37 (0) 0 1 (100.0;100.0) Open surgery 1 0 (0.0) 1 (100.0) 56

22 Touching blocks test

An image of three dimensional boxes, of difference shapes and sizes, are stacked onto one another. Fix grammar Each box is a given a number and the participant is required to state how many pieces are being touched by a given box. Time and number of correct responses is the final score.

1 107 (107) 1 (100.0;100.0) 0 Laparoscopic skills

1 1 (100.0) 0 (0.0) 80

23 Tube shape test

An initial image is shown in a transparent tube. A second image is shown from a different perspective, then the participant is required to choose from a few options which perspective the second image is being shown from. Time and number of correct responses is the final score.

1 58 (0) 0 1 (100.0;100.0) VR endoscopy 1

0 (0.0)

1 (100.0) 82

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24 Snowy picture test

Participants are asked to identify a picture covered with a visual obstruction, as quickly as possible. Time and number of correct responses is the final score.

1 37 (0) 0 1 (100.0;100.0) Open surgery 1 0 (0.0) 1 (100.0) 56

25 Soap carving A picture of a side view, top view and bottom view are given to the participant who must then visualize these views in three dimensions to carve out a cylinder-shaped piece of soap. A score is given for the accuracy of the final soap carving.

1 96 (0) 0 1 (100.0;100.0) Open surgery 1 0 (0.0) 1 (100.0) 53

PicSOR - Pictorial Surface Orientation; VR – Virtual Reality; *Studies - references within the body of the manuscript; $more than one technical skill category contained in this study

Table 4: Summary of dexterity tests as predictors of surgical performance

Count Dexterity test (n=20)

Description of innate ability Number

of studies

Total number of participants (number of

participants in significant

studies)

Number of studies reporting a significant association

(percent; weighted percent)

Number of studies that failed to

identify a significant association

(percent; weighted percent)

Number of studies stratified

by type of technical skill

Number of studies reporting a significant association stratified by

technical skill category (percent)

Number of studies that failed to

identify a significant association stratified

by technical skill category (percent)

*Studiesn=19

1 Purdue pegboard

This task is completed with a board with two parallel rows of holes (25 in total). Using their hands, the participant is required to place cylindrical shaped pegs into the holes on the board as quickly as possible.

6 399 (56) 2 (33.3;14.0) 4 (66.7;86.0)

Open surgery Laparoscopic skills VR laparoscopy VR endovascular

4111

1 (25.0) 0 (0.0) 0 (0.0)

1 (100.0)

3 (75.0) 1 (100.0) 1 (100.0) 0 (0.0)

65,66,72,59,55,79

2 Grooved peg board

A square board with 25 holes (5 holes across and 5 holes down) is used. Using their hands, the participants are required to place the metal pegs into the holes on the board as quickly as possible.

5 95 (74) 4 (60.0;77.9) 1 (40.0;22.1)

Laparoscopic skills VR laparoscopy VR endoscopy

141

0 (0.0) 3 (75.0)

1 (100.0)

1 (100.0) 1 (25.0) 0 (0.0)

52,72,62,65,61

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3 Crawford Small Parts Dexterity test

A board with holes for pins and screws is presented to the participants. Using tweezers, the pins are placed into their designated holes and collars are placed on the pins sticking out. The screws are then placed into their designated holes and a screwdriver is used to screw down each screw until flush with the board. Participants are asked to complete the task as quickly as possible.

4 98 (8) 1 (25.0;8.2) 3 (75.0;91.8) Open surgery VR laparoscopy

31

2 (66.7) 0 (0.0)

1 (33.3) 1 (100.0)

57,54,66,36

4 ADTRACK2 A screen displays a block bounded by two bars. The bars move from side to side and the participant uses a joystick to keep the block as close to the bars as possible. The closer the block stays to the bars, the higher the score.

2 31 (31) 2 (100.0;100.0) 0 Open surgery Endoscopy

11

1 (100.0) 1 (100.0)

0 (0.0) 0 (0.0)

83,33

5 Block Design Participants are given a pattern and are required to rearrange blocks with their hands in order to recreate the pattern. The final score is calculated from accuracy and speed.

2 261 (0) 0 2 (100.0;100.0) Open surgery 2 0 (0.0) 2 (100.0) 55,79

6 Porteus Maze Participants are required to trace through a maze from one end to the other, avoiding dead ends or backtracking. A time limit is set depending on the complexity of the maze.

2 261 (0) 0 2 (100.0;100.0) Open surgery 2 0 (0.0) 2 (100.0) 55,79

7 Tactual Performance

Participants are blindfolded and asked to place a number of cut out shapes into their corresponding positions on a form board. The participant completes the task three times; with their left hand, right hand and both hands together. Time is used for the final score.

2 261 (0) 0 2 (100.0;100.0) Open surgery 2 0 (0.0) 2 (100.0) 55,79

8 ADEPT Participants read off a computer screen while working within a dome with laparoscopic instruments and a camera. Four tasks are completed. The error plate detects excessive movement and a score is generated.

1 10 (0) 0 1 (100.0;100.0) Open surgery 1 0 (0.0) 1 (100.0) 48

9 ADTRACK3 A screen displays a block bounded by two bars. The bars move from side to side and the participant uses a joystick to keep the block as close to the bars as possible. The task differs from ADTRACK2 in that the participant can adjust the difficulty. The higher the level and the closer the block stays to the bars, the higher the score.

1 16 (16) 1 (100.0;100.0) 0 Endoscopy 1 1 (100.0) 0 (0.0) 83

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10 Bimanual coordination test

The participant uses two controls to navigate two points through a labyrinth. The right hand moves the points up and down and the left moves the points side to side. Accuracy and time generate a final score.

1 58 (0) 0 1 (100.0;100.0) VR endoscopy 1 0 (0.0) 1 (100.0) 82

11 Bennett hand tool dexterity test

Screws, nuts and bolts are secured tightly into a wooden frame. Using the tools provided the participant is required to take apart the units and reassemble them on the opposite side. Time is used for the final score.

1 8 (0) 0 1 (100.0;100.0) Open surgery Laparoscopic skills

2

1

0 (0.0) 1 (100.0)

2 (100.0) 0 (0.0)

66

12 Reaction time Participants hold down a button; then when a neighboring button lights up they are required to tap it. Cumulative response time is used for the score.

1 21 (0) 0 1 (100.0;100.0) VR laparoscopy

1

1 (100.0)

0 (0.0) 72

13 Double labyrinth test

The participant uses two leavers to control the position of two markings within a cylinder, which rotates at a constant speed. The right hand controls the right point and the left hand controls the left point. If a marking touches the side of the screen then an error is recorded.

1 58 (58) 1 (100.0;100.0) 0 VR endoscopy 1 1 (100.0) 0 (0.0) 82

14 Finger tap test Participants place their hand palm down over a board with their index finger overlaying a device that counts the number of finger taps. For 10 seconds at a time they are required to tap as quickly as possible for 3-6 repetitions. This test is completed with the left and right hand. The more finger taps completed in the allotted time the higher the score.

1 12 (21) 0 1 (100;100) Laparoscopic skills VR laparoscopy

1

1

0 (0.0) 0 (0.0)

1 (100.0) 1(100.0)

72

15 Gibson spiral maze test

Participants are given a circular maze and are required to trace between the lines. Score is determined by time and error.

1 10 (0) 0 1 (100.0;100.0) Open surgery 1 0 (0.0) 1 (100.0) 36

16 Minnesota rate manipulation test

The participant is required to place a number of discs onto a large board in a specific series. Once completed, the participant then flips over each disc in series moving along each row in a consecutive manner until all the discs have been flipped.

1 8 (0) 0 1 (100.0;100.0) Open surgery 1

0 (0.0) 1 (100.0) 66

17 Steadiness hole test

The participant is required to place a metal tip stylus into 9 progressively smaller holes without touching the edges. This task is scored on time and error.

1 8 (8) 1 (100.0;100.0) 0 Open surgery 1

0 (0.0) 1 (100.0) 66

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18 Tremor Participants grab a needle with a laparoscopic instrument that is attached to an oscillator and hold it steady for 20 seconds. Steadiness is used as the final score.

1 21 (0) 0 1 (100.0;100.0) Laparoscopic skills VR laparoscopy

11

0 (0.0) 0 (0.0)

1 (100.0) 1(100.0)

72

19 Wire Loop Dexterity Test

The participant isrequired to pass a hand held loop over a wire that has three formed bends. The goal of the task is to move from one end of the wire to the other without making contact with the loop.

1 37 (37) 1 (100.0;100.0) 0 Open surgery 1 0 (0.0) 1 (100.0) 81

ADEPT - Advanced Dundee Endoscopic Psychomotor Tester; VR – Virtual Reality; ADTRACK - Adaptive Tracking Task; *Studies - references within the body of the manuscript

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2.3.2

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37

reality endovascular renal artery stenosis task. However, the predictive value of the dexterity text

was lost after participants were given the opportunity to practice this task (Masud et al., 2012).

Thus, it appears that some surrogate tests that have been presumed to reflect innate ability may in

fact be assessing learned skills, limiting their value as predictors of technical performance by

surgical trainees.

It would seem intuitive that tests of visuospatial ability would reliably predict technical ability,

given surgeons’ need to operate around complex structures in three-dimensional space. One

might expect this relationship to be particularly strong in the case of laparoscopic procedures,

where surgeons operate in three dimensions while relying on two-dimensional visual feedback.

Therefore it is particularly surprising that of the 26 visual spatial tests studied to date, only 3

(12%) (the Card Rotation Test, the Mental Rotation Test(MRT), the PicSOR test) have

consistently demonstrated a positive relationship with technical ability.

While there may be a perception that visuospatial ability is a single homogenous aptitude that

varies between individuals, the results of the present review suggest that different visuospatial

tests may assess distinct and discrete abilities, each of which may only apply to a specific subset

of surgical procedures. For example, while the MRT was positively correlated with technical

performance in the majority of studies, this association differed depending on the type of surgical

task. MRT results significantly predicted technical performance in all studies involving open

surgical tasks in a simulated environment. A positive correlation was seen between MRT scores

and performance of internal fixation of a mandible fracture (Wanzel et al., 2003), 4 flap z-plasty,

(Wanzel et al., 2002), and with tying of an open surgical reef knot (Brandt & Davies, 2006). In

contrast, when assessed as potential predictors of simulated endoscopic and laparoscopic tasks

performance, the results were inconsistent, with half of studies finding no predictive value

(Groenier et al., 2014; Hedman et al., 2006; M. M. Keehner et al., 2004; Luursema et al., 2010).

Similar discrepancies are noted with the predictive value of the PicSOR test to predict minimally

invasive performance. Although this test was developed specifically to test the visual spatial

abilities required for laparoscopy, one might expect it to also be equally effective in predicting

technical performance on endoscopic tasks, given the similar minimally invasive nature of both.

However, PicSOR has been successful in predicting simulated laparoscopic tasks but not

simulated endoluminal tasks in studies to date. Specifically, PicSOR has demonstrated a positive

correlation with a laparoscopic cutting task (A. G. Gallagher et al., 2003), manipulation and

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diathermy task (McClusky et al., 2005), and laparoscopic peg transfer in the novice trainee

(Kolozsvari et al., 2011), but no correlation with the endobubble and gastroscopy tasks on the

virtual reality simulator (L. Enochsson et al., 2006; E. Matt Ritter et al., 2006). Therefore,

although visual spatial ability is likely important for technical performance, the surrogate tests

available seem to predict performance on specific subgroups of surgical tasks instead of

reflecting underlying abilities that transfer across surgical procedures in general.

Given that the purpose of this systematic review was to focus on aptitude testing for selection

into training, open and minimally invasive techniques have been discussed together. This is

appropriate for contemporary surgical practice, where a number of specialties (e.g general

surgery, urology) require that surgeons be proficient with a mix of both open and minimally

invasive techniques, and this is also reflected in training curricula. However, the literature does

suggest that different tests may be more appropriate for predicting aptitude for either open or

minimally invasive techniques. These tests may ultimately be able to provide some insight into

whether surgeons would benefit from biasing their independent practices following completion

of training toward either open or minimally invasive procedures. Furthermore, some surrogate

markers seem to be more appropriately suited for specific surgical specialties. For example MRT

has been shown to be predictive for z-plasty, which is pertinent for reconstructive surgery.

However, this same correlation has not been demonstrated for open abdominal surgery (Deary et

al., 1992; Schueneman et al., 1984). Similarly, PicSOR has demonstrated some predictive

potential for laparoscopic tasks and therefore may be more useful in surgical disciplines where

laparoscopic techniques are common (e.g. urology, general surgery or obstetrics and

gynecology). It is therefore, possible that a different set of surrogate tests may be required for

selection into different surgical specialties.

While several studies have examined the association between surrogate marker scores and cross-

section performance on one or more surgical tasks, there is limited evidence concerning potential

associations between natural aptitude and longitudinal performance in terms of either rate of

skills acquisition or performance over the longer term. Buckley et al. demonstrated that after

testing 86 novices, 12 high aptitude and 12 low aptitude scoring individuals correlated to fast

versus slow learners when completing simulated general surgery tasks. This suggests that

aptitude tests may be able to select out the gifted and the slow learner, however the surgical

performance of individuals at these extremes was not studied. In addition, no study has evaluated

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whether these initial predictions in the simulation setting transfer to the real operating

environment. Therefore, further longitudinal study is needed to better delineate the value of

aptitude testing in terms of predicting both initial performance level as well as longer-term skills

acquisition and performance in the real operating room, before this testing can be used to select

candidates entering and progressing through surgical training.

Another potential benefit of aptitude testing might be to objectively identify trainees’ technical

strengths and weaknesses, allowing for the tailoring of training activities. However, to the best of

our knowledge, no studies to date have specifically evaluated this role for aptitude testing.

Furthermore, it is unclear whether the use of surrogate markers to identify trainees’ strengths and

weaknesses confers any benefit over the use of existing in-training evaluation tools (e.g. in-

training evaluation reports, objective structured assessments of technical skills, procedure-

specific checklists etc.). Thus, further study is required to determine whether these tests can be

used in this way, including optimal testing frequency (once versus several occasions), the need to

control for time in training to account for potential change in aptitude scores over time, and

benefits of surrogate marker testing versus in-training tools.

Ultimately, technical performance is likely a result of a complex interplay of numerous innate

abilities, in conjunction with subsequent exposures and experiences. These may vary between

individuals, potentially explaining the limited success to date in identifying individual surrogate

markers that reliably predict technical performance. In an attempt to account for these

complexities, other performance disciplines utilize a battery of tests in an attempt to

simultaneously assess a range of innate abilities, with the goal of selecting candidates based on

the cross-section of innate abilities believed to maximize performance in a given field. For

example, the United States military uses a testing battery, called the Armed Services Vocational

Aptitude Battery, to characterize new recruits across a broad range of innate abilities.(Mayberry

& Carey, 1997) This test battery evaluates arithmetic reasoning, word and mathematics

knowledge and paragraph comprehension. The results are then used to direct recruits toward

specific branches and roles within the military (e.g. pilot training, intelligence) that best reflect

their set of innate abilities. Perhaps motivated by this experience, Deary et al. (Deary et al.,

1992) and Schueneman et al. (Schueneman et al., 1985; Schueneman et al., 1984) developed and

evaluated test batteries for selection into surgery. They tested combinations of characteristics

including dexterity, visual spatial ability, and personality traits, but failed to find a combination

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tests that predicted surgical performance in the operating room as assessed by staff surgeons.

More recently, Gettman et al., (Gettman et al., 2003) Johnson et al., (Johnson et al., 2004) and

Matsumoto et al. (Matsumoto et al., 2006) have tried a more sophisticated approach to predict

performance across a range of surgical procedures by combining the assessment of multiple

abilities into a single model, known as Basic Performance Resources (BPR). This model

involves measuring a range of innate abilities such as visual-hand response speed, visual

information processing speed and grip strength. The results are then analyzed using nonlinear

causal resource analysis that attempts to identify the point at which an individual’s performance

resources become insufficient to meet those required by a given surgical task. Resources become

insufficient when one or more of the above abilities is unable to meet the challenge of the

surgical performance. In the three studies of BPR reported to date, this method has accurately

predicted technical performance for 62 to 75% of participants (Cadeddu & Kondraske, 2007;

Gettman et al., 2003; Johnson et al., 2004; Matsumoto et al., 2006). Although not perfect, this

model is the first to attempt to quality the interplay of many abilities that likely work together to

produce an individuals end performance. BPRs also acknowledge that the reasons for weak

performance are likely due to a different underlying ability, depending on the performer.

Therefore, by testing multiple abilities the BPR approach may have a higher likelihood of

understanding where restrictions most often occur. However, given the limited number of studies

and the small sample sizes used, further BPR studies are required to optimize the combination of

innate abilities best suited for predicting technical performance for different surgical techniques

to increase the accuracy of predictions. To date, this method has not been used in open surgery

and may be worth pursuing. Furthermore, further study is required to confirm its value and

feasibility as a selection tool for surgical training.

Given the large number of surrogate markers evaluated to date, it may be beneficial for future

studies to focus on the surrogate tests that have reported positive associations. Based on the

studies identified through in this review, the majority have reported positive associations

between PicSOR and laparoscopic procedures. Thus it would appear to be reasonable to include

the PicSOR in studies evaluating associations with performance on laparoscopic tasks. Similarly,

the MRT has shown positive associations with z-plasty and mandibular bone fixations, therefore,

surgical procedures involving other bone fixation or flap reconstruction maneuvers may be more

likely to correlate with this specific visual spatial test. However, in our opinion, because of a lack

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of any other consistently reported associations, there is insufficient evidence to recommend any

other test for studies that involve any other open or minimally invasive surgical task. With

respect to combination studies, future work may benefit from incorporating these potentially

promising individual surrogate tests, as part of a combination that is appropriate for a specific

surgical discipline. Of the combination studies identified in this systematic review, Deary et al.

used the MRT but did not find a significant correlation with performance in the operating room.

However, this work was done before the development of surgical simulation and a limitation of

this study was the use of subjective assessment tools. PicSOR was developed after both these

studies had been published and therefore was not used in either one. Given the advances in

surgical education with respect to simulation and objective performance assessment tools, future

combination studies may confer more promising results when incorporating these advances.

Alternatively, BPR offers the novel advantage of attempting to quantify the interplay of many

abilities to predict each individual’s end performance, and more work with this model may prove

beneficial.

A number of studies have investigated the relationships between personal characteristics and/or

cognitive test results, and surgical performance. However, to date, no single test has been

reported to reliably predict technical performance across the range of techniques and skills

required of surgical trainees. Visual spatial tests have demonstrated some promise, but only in

predicting performance on a specific subset of surgical tasks. It appears that strategies such as

BPRs, that assess multiple innate abilities, their interaction, and their relationship with technical

skill, may be more likely to ultimately serve as reliable predictors of future surgical performance.

However, studies of this nature are limited to date, and therefore more robust research is required

before implementing this method into the surgical trainee selection processes.

2.3.3 The role of simulated technical tasks to inform trainee selection

An alternative approach to surrogate markers in predicting technical aptitude may be to

incorporate simulated technical tasks into the selection process. The United Kingdom and Ireland

both incorporate simulated technical tasks into their selection process for advanced surgical

training. The surgical training system in these countries differs from that of North America and

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instead of medical students directly entering 5 years of surgical residency, their programs are

separated into basic and advanced surgical training. After medical school students interested in a

surgical career enter basic surgical training, which has a focus in surgery but is a rotating

internship that teaches the foundation of all clinical practices and lasts two years (Beard, 2008;

A. G. Gallagher et al., 2008). At the completion of these two years students then apply for

specialty surgery training, which involves a written application, knowledge examination and

technical skills bell ringer exam (Evgeniou, Peter, Tsironi, & Iyer, 2013). If they are not

successful in entering specialty surgical training, the student then enters a non-surgical career

with no consequences.

The technical examination in these countries is a series of simulated technical tasks assessed by

the surgical faculty for the open tasks, and the virtual reality simulator for the laparoscopic tasks.

Examples of open tasks included in the technical skills exam in Ireland are simulated end-to-end

bowel anastomosis, or resection of an ingrown toenail. In contrast, examples of minimally

invasive skills tested on the virtual reality simulator are upper GI endoscopy, or core

laparoscopic skills (A. G. Gallagher et al., 2008). The skills exam was designed to ensure that

students have the technical aptitude required before entering specialty training. Unfortunately, no

long-term follow up data has been published quantifying whether this objective skills test

predicts clinical performance during training. However, given that many simulation studies have

demonstrated transfer of skills into the real operating room (Palter & Grantcharov, 2012; Zevin

B, Dedy NJ, Bonrath EM, & TP., 2013) and that the simulation tasks used in this test are directly

linked to skills performed in the real clinical setting, it may be reasonable that scoring well on

these skills may transfer to the clinical setting.

The inherent structure of the North American selection process does not allow for a two-tiered

scheme with a simulation exam after two year. However, incorporating technical skills during

the selection process may still be possible. A single program in the United States has

incorporated a technical task into their selection process at the time of the in-person interview.

On interview day, the Otolaryngology program at the Mayo Clinic School of Medicine, has their

applicants complete a simple suture microsurgical task. The students are oriented to the

microscope, instrument handling and basic microvascular knot tying technique. The students are

given 20 minutes to close a vertical incision in a nylon glove, with simple interrupted knots using

10-nylon suture. A plastic surgeon on faculty grades performance in real time using a global

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rating

perfo

is a m

succe

Price

perfo

Howe

progr

learni

progr

may n

skills

stude

aptitu

the cu

2.4

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traine

g scale (Carl

ormance scor

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ormed poorly

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ntroducing a

of simulation

owing eleme

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ald, Sorom,

creening too

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gram and fac

2014). Unfo

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incorporatin

arn technical

aining enviro

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overall perfo

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asible. There

edical studen

plained below

alities for

of medical s

ulum may pro

l skills durin

a simulated te

n evaluable a

ents should b

ical task, 2)

trainee).

& Moore, 2

l and in-hosp

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ulty clinical

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sment and th

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l skills over

onment. The

t for a single

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students perf

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ng residency

echnical task

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2010). Longi

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cale (GRS) s

performanc

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heir clinical p

aptitude into

time, which

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o incorporate

technical ski

ulation curric

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k to a trainee

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tudinal follo

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scores of the

ce score after

ata comparin

performance

o selection, t

h is more rep

age of the Ot

time on inte

e the acquisi

ill progressio

culum to scr

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aining

mulated techn

fy students w

before desig

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pe of simula

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e residents w

r graduation

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tolaryngolog

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ition of techn

on at the me

reen for tech

evidence sup

nical tasks le

who will exc

gning a simul

tant to under

r simulation

ation model a

perience lev

43

hat there

who

n (Moore,

who

dency.

Irish

of how

gy

which

nical

dical

hnical

pporting

earned

cel or

lation

rstand

n

and its

vel of the

Page 60: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

2.4.1

A num

tasks

the op

high

2.4.1

Surgi

fideli

synth

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been

2004)

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44

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Page 61: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

a.

Figur

cadav

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2.4.1

Live

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2.4.2

Simu

visua

can b

opera

2.4.2

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high

introd

that p

comp

& Gr

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using

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trainers (BT)

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d, 2009).

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ral surgery tr

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els for minim

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into those th

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paroscopic

) are used to

dels (Figure 3

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k, and operat

2010).

recognized

Surgery (FL

imulate 5 ta

acorporeal kn

r to the real o

FLS is among

ates Accredit

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raining prog

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at rely on vi

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3). The BT i

n model, and

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grams in Can

lation mod

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puter-genera

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is a plastic b

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om (McClun

ation requirem

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gh this cours

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dels

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ated virtual s

anced laparo

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ments for ge

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se is also rec

ains optional

se relying on

cope, or othe

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oscopic tasks

ltiple openin

nsert the lapa

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edback from

uses the BT

each basic la

g a ligation l

s learned fro

007; Stelzer,

eneral surger

l Education

commended

at the prese

n indirect

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ensional sim

s using eithe

ngs to allow t

aroscopic ca

nts into the b

the monitor

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aparoscopic

loop, intraco

om FLS have

Abdel, Sloa

ry trainees m

(ACGME) (

by a numbe

ent time.

46

vice)

mulated

er low or

the

amera

ox to

r (Palter

amentals

skills

orporeal

e been

an, &

mandated

(Brown,

er of

Page 63: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

a

c

Figur

tasks

mode

2.4.2

Virtu

consi

as an

for in

task (

re 3: (a) the l

, using eithe

el such as (c)

Vir2.2

ual reality sim

idered a high

educational

ndependent s

(e.g. lifting a

laparoscopic

er a low fidel

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tual reality

mulation for

h fidelity mo

l tool (Chou

study approp

and grasping

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porcine smal

y simulatio

surgical tec

odel. Virtual

& Handa, 2

priate to the s

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b

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ll bowel with

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student’s tra

ure (e.g. lapa

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aying a vide

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The student

holecystectom

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r a high fidel

o game, and

and disadva

lator is that i

t is able to se

my) best suit

47

oscopic

lity

d is

antages

it allows

elect a

ted for

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48

his/her training level from a series of modules (Figure 4). The simulator can be programmed to

provide instructions for the task, and generates immediate feedback scores and graphs for the

student to monitor his/her progress. This interactive interface decreases the number of live

instructors required to teach these skills, while providing a low stakes, stress free environment in

which to learn these skills. From a research perspective, a major advantage of this system is that

that no personnel are required to watch and rate the procedures.

However, there are two major disadvantages to the VR: 1) a lack of realism and 2) high cost.

Although the VR simulation is categorized as a high fidelity model and is designed to imitate the

real surgical environment (e.g. abdomen or pelvis), the appearance is often not realistic.

Furthermore, the surgeon’s interaction with the simulated tissue, the way it moves or bleeds, and

the lack of tactile feedback also negatively affect the experience (Satava, 2001). Newer models

have been designed to improve realism by incorporating haptic feedback. However, despite these

advances, the technology has yet to meet real operating room standards. Additionally, the cost of

a VR simulator is substantial, with the initial acquisition cost ranging from 77,500 to 150,000

Canadian dollars, with further requirements for ongoing support, upgrades and maintenance to

keep the technology updated and running smoothly (Lowry, Porco, & Naseri, 2013; Orzech,

Palter, Reznick, Aggarwal, & Grantcharov, 2012).

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Figur

2.5

Many

mode

categ

metri

comb

re 4: Virtual

Instrum

y assessment

els described

gories of asse

ics and learn

bination to op

reality simu

ments for t

t tools have

d above, and

essment tool

ning curve as

ptimize the a

ulator for lap

the assess

been develo

for procedu

ls, including

ssessment, ar

assessment g

paroscopic te

sment of

oped to asses

ures performe

task specific

re outlined b

goals of diffe

echnical skil

technical

ss technical p

ed in the rea

c checklists,

below. These

ferent technic

l training an

l skill

performance

al operating r

, global ratin

e tools can b

cal skills cur

nd assessmen

e for the simu

room. The m

ng scales, tas

be used alone

rricula.

49

nt.

ulation

major

sk

e, or in

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50

Table 5: Task specific checklist applicable to both the placement of one interrupted suture and

intracorporeal knot tying

Instrument)tie)check)listNot)done)or)

complete)incorrectlyCompleted)correctly

Correct'handling'of'needle'driver 0 1

Correct'handing'of'forceps 0 1

Loading'the'needle'driver'at'the'tips'of'the'needle'driver 0 1

Loading'the'needle'at'90'degrees'to'the'needle'driver 0 1

Loading'the'needle'2/3'and'1/3 0 1

Holding'the'tissue'edge'with'the'forceps 0 1

Entering'the'tissue'at'90'degrees 0 1

Coming'through'both'black'dots 0 1

Following'the'curve'of'the'needle 0 1

Exiting'the'tissue'using'the'needle'driver 0 1

Exiting'the'tissue'by'following'the'curve'of'the'needle 0 1

Pulling'the'suture'through' 0 1

Leaving'a'short'tail 0 1

Placing'the'needle'driver'between'short'and'long'suture' 0 1

1st'double'throw 0 1

Square'knots 0 1

2nd'single'throw 0 1

3rd'single'throw 0 1

Hold'both'sutures'with'needle'driver 0 1

Cut'with'suture'scissors 0 1

Max'Total'20:

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51

2.5.1 Task specific checklists

These checklists are created for specific open or minimally invasive tasks and are generally

formatted as a binary scale documenting whether a step of the procedure is omitted or completed.

Checklists are best suited to evaluate novice or junior trainees who are focused on learning the

steps of the procedure. These tools are easy to implement because the examiner requires minimal

training; the binary scale is relatively intuitive, and minimal surgical judgment is needed to score

performance (Regehr, MacRae, Reznick, & Szalay, 1998). Checklists can be used to provide

objective feedback both in the simulation setting and in the real operating room. However, a

disadvantage to checklists is that they do not measure performance nuances or technical quality,

and therefore are poorly suited to more advanced trainees (Hodges, Regehr, McNaughton,

Tiberius, & Hanson, 1999). Furthermore, checklists are procedure specific, and therefore cannot

be re-used for different operations (Table 5).

2.5.2 Global rating scales

GRS are used to provide an overall assessment of performance. They require the examiner

observe a trainee perform a procedure and uses the judgment of these individuals to rate

elements of their technical skill on a Likert scale in accordance with specific descriptive anchors.

Since the tool relies on the examiner’s judgment, a subjective variable is inherently incorporated

into the assessment. Therefore, GRS are more reliable in the hands of experienced examiners or

alternatively, trained personal.

GRS have been shown to differentiate levels of experience and can therefore be used for both

novice and more advanced trainees (Regehr et al., 1998). In addition, because these scales are not

procedure specific they can be used for a multitude of tasks or operations in different surgical

fields as well as within the simulation setting or the real operating room. The disadvantage of

GRS is that they require trained personal to watch the procedures either in real time or on video

to generate a score. Both are time consuming and resource heavy, which has been reported to

severely limit uptake. Table 6 is the Objective Structure of Technical skills (OSATS), which is

considered the gold standard GRS to assess technical performance (Martin J.A et al., 1997).

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52

Table 6: Objective Structure of Technical skills - Global Rating Scale (Martin et al., 1997)

1 2 3 4 5

Respect for tissue Frequently used unnecessary force of tissue or caused damage by inappropriate use of instruments

Careful handing of tissue but occasionally caused inadvertent damage

Consistently handled tissue appropriately with minimal damage

Time and motion Many unnecessary moves Efficient time/motion but occasionally causes inadvertent damage

Economy of movements and maximum efficiency

Instrument handling Repeatedly makes awkward moves with instruments

Competent use of instruments although occasionally appears stiff or awkward

Fluid moves with instruments and no awkwardness

Knowledge of Instruments

Frequently asked for the wrong instrument or used an inappropriate instrument

Knew the names of most instruments and used appropriate instrument for the task

Obviously familiar with the instruments and their names

Use of assistant Consistently placed assistant poorly or failed to use assistant

Good use of assistant most of the time Strategically used assistant to the best advantage at all times

Flow or operation and forward planning

Frequently stopped operating or needed to discuss next move

Demonstrated ability for forward planning with steady progression of operative procedure

Obviously planned course of operation with effortless flow from one more to the next

Knowledge of specific procedure

Deficient knowledge. Needed specific instruction at most operative steps

Knew all important aspects of the operation

Demonstrated familiarity with all aspects of the operation

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53

2.5.3 Task metrics

Task metrics are the most common method to evaluate technical performance because the data

are objective and easy to collect (Schmitz et al., 2014). Examples of these metrics include time,

instrument motion tracking and error scores (Figure 5) (A. G. Gallagher, Richie, McClure, &

McGuigan, 2001). Task metrics are used in the simulated setting with the virtual reality (VR)

simulator and laparoscopic box trainer (BT). The VR simulator assessment metrics have been

shown to be able to discriminate performance between experts, intermediate and novice trainees.

The BT tasks measure the time of the procedure or task in real-time and quality of the end

product in terms of an error score which are quickly determined and successfully discriminate

trainee level (A. G. Gallagher & Satava, 2002; van Dongen, Tournoij, van der Zee, Schijven, &

Broeders, 2007). However, these metrics do not necessarily capture quality. For example a

trainee may complete a task quickly and accurately resulting in a high score; but may also be

rough, have poor respect for tissue and have suboptimal technique, none of which are measured

in this scoring system. However, the evidence does suggest that when separating the metrics,

time is more accurate than motion tracking when assessing performance, and that summing

these metrics into an overall score is a better assessment of technical performance (D. Stefanidis,

Scott, & Korndorffer, 2009).

Penalty Scores

Secure knot = 0

Slipping knot = 10

Knot comes apart = 20

Time to complete =_______seconds Penalty = _____ ( + ) mm. from edge of pre-drawn dots

_____ ( + ) mm. gap in incision

_____ ( + ) security of knot

Figure 5: Task metrics for the laparoscopic knot tie task, using the laparoscopic box trainer

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2.5.4

Unde

impo

traine

thresh

defin

by th

wher

progr

Sever

assoc

“sigm

follow

wher

result

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more

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ree main fea

e the surgeo

ression along

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ciated with su

moidal” curv

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substantial

Yelle, 1979)

tion between

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bined with th

g learning

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n surgical ed

prove with de

hieri, 2003),

provement in

atures: 1.the

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ve that begin

task being le

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). It is impor

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on of technic

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edicated prac

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initial famili

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cal skill acqu

is becoming

ctice, a subs

competence

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art point; 2. t

lizes (Cook,

tinuum varie

een proposed

e, 1979). Th

arization pha

ent with steep

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steep slope o

mes more co

nd the full s-

that all indi

individual le

underlying s

variance (Fi

hnical skill

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e. Graphicall

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ase characte

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l progressio

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54

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Figur

and (

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ANO

(eg. P

delin

of lea

Schlu

inclu

for se

2.6

2.6.1

Once

deliv

and th

traini

Datta

The d

into s

contin

parad

studie

re 6: Exampl

b) a difficult

ional fluctua

ysis of learn

rted using tra

rts by splittin

OVA (Cook e

Pearson or S

eating indivi

arning curve

up, Nizard, &

ded in chapt

electing a no

Technic

1 Struc

e the simulat

er the curric

hen adopted

ing model, c

a, Chang, &

distributed p

shorter time

nuous practi

digm was fir

ed this phen

les of expect

t task. Actua

ations betwe

ning curves w

aditional stat

ng the group

et al., 2004;

pearman) ha

idual perform

s (LC-CUSU

& Porcher, 2

ter 5 describ

ovel analysis

cal skill tr

cturing curr

ion models a

ulum is an im

d into surgica

ompared to

Darzi, 2002

ractice mode

segments ov

ice that occu

st reported in

omenon in r

ted smoothe

al performan

en attempts

within the su

tistics. These

ps and comp

Joseph, Phil

ave also been

mance rather

UM) and cur

2008; Marlie

es these ana

, namely k-m

raining cu

ricula for t

and assessm

mportant nex

al education

a mass train

; Moulton et

el, also know

ver multiples

urs without re

n 1913 by a

reference to m

d learning cu

nce of an ind

(c).

urgical educa

e statistical m

aring perform

llips, & Rupp

n used along

r than group

rve fitting ar

s P. Schijven

lyses is deta

means cluste

urricula

technical sk

ment tools hav

xt step. Stud

have repeate

ing design, i

t al., 2006; P

wn as spaced

s days or we

est between

German psy

memory reca

urves for the

dividual learn

ation literatu

measures are

mance with

p, 2012). Al

g with regres

ped performa

re most comm

n et al., 2004

ail in the disc

ering, for thi

kill trainin

ve been sele

dies originati

edly demons

is superior fo

Palter & Gran

d repetition,

eeks. Massed

trials. The d

ychologist H

all and demo

e performanc

ning a basic

ure has been

e best suited

t-test, chi-sq

lternatively,

ssion analysi

ance, cumula

monly utiliz

4). The full t

cussion and

s study.

ng

cted, a teach

ing in the ps

strated that a

for learning (

ntcharov, 20

breaks up th

d practice is

distributed pr

Hermann Ebb

onstrated tha

ce of (a) a ba

task may di

commonly b

d to comparin

quare test or

correlation s

is. However

ative sum an

zed (Biau, W

text manuscr

outlines the

hing model t

sychology lit

a distributed

(Mackay, M

014).

he skills train

defined as

ractice learn

binghaus, wh

at memorizin

55

asic task

splay

been

ng

r

statistics

, when

nalysis

Williams,

ript

reasons

to

terature

practice

organ,

ning

ning

ho

ng

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56

random characters was more successful when separate in time (Ebbinghaus, 1913 (Reprinted

Bristol: Thoemmes Press, 1999)). Subsequently, distributive practice has proven beneficial in

procedural memory, learning fine and gross motor skills (Kwon, Kwon, & Lee, 2015; T. D. Lee

& Genovese, 1989). Technical skills require both gross and fine motor movements. In the early

2000s, therefore, researchers compared distributed practice to mass practice in the area of

surgical skills to assess whether there would be similar benefits.

The studies comparing mass practice to distributive practice were studied using simulated

technical skills. Mackay et al compared massed practice to distributed practice on minimally

invasive tasks and found a significant difference between the groups, favoring distributed

practice (Mackay et al., 2002). Moulton et al compared the two practice methods for learning a

microsurgery simulated bench task and found similar findings. Students completing distributed

practice training outperformed massed practice when assessed with GRS and checklist scores

(Moulton et al., 2006). Furthermore, the deliberate practice has also demonstrated successful

transfer of skills learned in the simulation laboratory, to the real operating room (Palter &

Grantcharov, 2014). Therefore, when I designing the technical skills training curriculum for

detecting technical aptitude in medical students, a distributed practice-training model was used.

2.6.2 Mental practice as an adjunct for technical skill training

During surgical training, technical skills curricula using the models described above have gained

tremendous momentum(Willis & Van Sickle, 2015). However, technical performance adjuncts

that require minimal equipment and include focus on cognitive components are relatively new to

the field of surgical education. Therefore mental practice (MP), as a performance adjunct for an

advanced laparoscopic procedure, was studied in chapter 6 and was the first study in the surgical

education literature to assess the effect of MP on advanced laparoscopic skills.

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2.6.2

MP is

rehea

1969)

(MI),

MP is

inclu

Naga

Ment

by Sa

impro

in the

prepa

onwa

under

were

repor

physi

meta-

condu

their

these

effect

tasks

effect

novic

Def2.1

s defined as

arsal of a phy

). Interchan

, mental rehe

s performanc

ding sports,

ano, 2015; Sp

tal practice a

ackett (1934)

oved signific

e 1950s, MP

are their athl

ards, a growi

rstand the ef

the first to c

rted that men

ical practice

-analysis in

ucted a meta

predecessor

authors stud

t of the expe

when comp

ts have redu

ce athletes.

finition and

the “cogniti

ysical action

ngeable termi

earsal (MR)

ce adjunct th

music and m

pahn, 2015).

as a performa

) and Perry (

cantly for dif

began being

etes for com

ing interest i

ffectiveness

conduct a me

ntally practic

(D. L. Feltz

1988 (D.L. F

a-analysis, w

s. In addition

died the type

erience and c

pared to pred

uced to almos

d scope

ive rehearsal

n in the absen

inology used

or visualizat

hat has been

medical reha

.

ance enhanc

(1939) who

fferent psych

g used in spo

mpetitions (R

in MP spurre

of this techn

eta-analysis,

cing a motor

z & Landers,

Feltz & Land

which include

n to the posi

e of task, the

concluded th

dominately p

st half and 3

l of a task wi

nce of any gr

d to describe

tion.

demonstrate

abilitation (B

cement techn

demonstrate

hology tasks

orts when So

Ryba T, Stam

ed researcher

nique on mot

, including 6

r skill is bette

, 1983). Thes

ders, 1988).

ed 100 studi

itive effect o

e retention in

hat: 1) the eff

physical task

) MP is mor

ithout physic

ross muscul

e this cogniti

ed to improv

Bar-Eli & Blu

nique was fir

ed that after M

s (Perry, 199

oviet Union

mbulova N, &

rs to conduc

tor performa

60 studies co

er than no pr

se results we

Subsequent

ies, and came

of mental pra

nternal from

ffect of MP i

ks, 2) approx

re effective f

cal moveme

ar movemen

ive process i

ve performan

umenstein, 2

rst reported i

MP, individ

92; Sackett,

coaches use

& C., 2005).

ct numerous

ance. Feltz a

omparing 146

ractice at all

ere again sup

tly, Driskell

e to the sam

actice on mo

the MP inte

is stronger fo

ximately 2 w

for elite athle

ent” or a “sym

nt (Richardso

is: mental im

nce in many

2004; Nagan

in the early 1

dual performa

1934). Subse

ed this techni

From the 19

studies to

and Landers

6 effect size

l but not as g

pported in a

et al. (1994)

me conclusion

otor performa

ervention and

or more cogn

eeks after M

etes as comp

57

mbolic

on,

magery

y fields

no &

1930s

ance

equently

ique to

960s

(1983)

s and

good as

revised

)

n as

ance

d the

nitive

MP the

pared to

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2.6.2

There

perfo

1.

The p

respo

produ

imagi

after

found

then i

electr

EMG

2.

Symb

effect

being

moto

impro

3.

Atten

aspec

perfo

perfo

distra

4.

Me2.2

e are five the

ormance. Eac

Psychoneur

psychoneuro

onses in the m

uced in the b

ined skill. In

visualizing i

d increased a

instructed su

romyography

G probe over

Symbolic le

bolic learnin

tive because

g cognitively

rs sequence,

oved overall

Attention-a

ntion and aro

cts of psycho

ormance phy

ormance and

action by irre

Bio-informa

ntal practic

eories that at

ch theory is o

romuscular

omuscular th

muscle fiber

brain during

n support of

images of th

activity durin

ubjects to im

y (EMG) pro

the bicep de

earning theo

ng theory diff

e individual a

y ready. Befo

, sets task go

l performanc

arousal set th

ousal set theo

oneuromuscu

siologically,

cognitively

elevant stimu

ational theo

ce theories

ttempt to exp

outlined belo

theory

heory sugges

rs used when

MP transmit

this theory,

he ‘Eiffel Tow

ng visualizat

magine movin

obe over the

emonstrated

ory

ffers from Ps

actions are p

ore a physica

oals, and cog

ce (Martin, M

heory

ory combine

ular theory. A

, by helping

by selective

uli (R. S. Ve

ry

s

plain the pos

ow.

ts that vivid

n actually per

t impulses to

Jacobson rec

wer’ or ‘this

tion as comp

ng their arm

e bicep. In vi

increased m

sychoneurom

planned in ad

al response i

gnitively con

Mortiz, & Ha

es symbolic l

According to

the athlete t

ely attending

ealey, 1987)

sitive effect

d, imagined e

rforming the

o the muscle

corded ocula

s morning ne

pared to rela

and simulta

isualizing th

muscular tens

muscular theo

dvance and t

is executed,

nsiders altern

all, 1999).

learning theo

o this theory

to adjust his/

g to the task

.

of mental pr

events produ

e task. Thus,

es for the exe

ar movemen

ewspaper’ an

axation (Jaco

aneously held

he arm movem

sion (Jacobs

ory and state

thus the indi

advance pla

native soluti

ory with the

y, imagery se

/her arousal

at hand and

ractice on

uce neuromu

, the images

ecution of th

nts in particip

nd consisten

obson, 1930)

d an

ment alone,

on, 1931).

es that MP is

ividual benef

anning optim

ons resulting

physiologic

erves to imp

level for opt

preventing

58

uscular

he

pants

ntly

). He

the

s

fits from

mizes

g in

cal

prove

timal

Page 75: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

In 19

conne

becau

input

in the

physi

Figur

The r

focus

its eff

therap

comp

Figur

Ve

979 Lang pro

ections betw

use it empha

ts: 1) image c

e imagined e

iologic respo

re 7 (Lang, 1

reason for br

s on these co

ffectiveness.

py for obses

plete interact

re 7: Adapte

erbalInstr.

oposed that i

ween these un

asizes the im

cue (e.g. wri

event. He the

onse which t

1979).

reaking up th

omponents an

For exampl

ssive compul

tive process

d from Lang

B

Pro

.

Physio

magery is co

nits play a sp

mportance of

itten script),

en describes

then feed bac

he imagery p

nd to begin t

le, it is hypo

lsive behavio

(Lang, 1979

g’s model of

rain

ocess

ologicalEv

oded in a sin

pecific and p

both input a

2) image aid

two output v

ck into the m

process into

to study thei

othesized tha

ors only pro

9).

f input and ou

VerbalR

vent

ngle, uniform

predetermine

and output cu

d (e.g. film,

variables, 1)

model to mod

input and ou

ir impact on

at individuals

cess the verb

utput variab

Report

m, abstract m

e role. Lang’

ues. He desc

script), 3) a

) verbal repo

dify the ima

utput cues is

the overall p

s who do no

bal cues rath

bles for emot

manner in wh

’s model is u

cribes three m

ctive particip

ort and 2)

ge.

for research

process of M

t respond to

her than the

tional image

59

hich the

unique

main

pation

h to

MP and

MP

ry.

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5.

The t

ackno

MP. T

The e

of the

overa

to op

Comb

enhan

enhan

athlet

been

2.6.2

It has

positi

comp

1992)

Three

traini

incor

First,

perfo

calmn

perfo

breath

throu

Ahsen’s trip

triple code m

owledges the

The triple co

effects are id

e image to th

all performan

timize the m

binations of

ncement stra

ncing perfor

tes use MP a

incorporated

How2.3

s become cle

ive effect on

petitive sport

) swimming

e component

ing: 1. begin

rporating em

before enga

ormance (Wa

ness into me

ormance. Tw

hing control

ughout the bo

ple code mod

model has som

e interaction

ode model si

dentified as I

he individual

nce and allow

mental image

these theori

ategy being t

mance in sp

as an adjunct

d into surgic

w athletes

ear from hist

n motor perfo

ts have demo

, (Bar-Eli &

ts are recom

nning with a

motional imag

aging in MP

adey & Hant

entally practi

wo common r

l. Progressiv

ody and syst

del of image

me similarit

n of many pro

implifies the

ISM: I – the

l. The incorp

ws for perfo

ery for the in

es are gener

taught. In su

orts is most

t to improve

cal training.

incorporat

toric and ong

ormance, inc

onstrated the

Blumenstei

mmended for

relaxation ex

gery.

, beginning w

ton, 2008). I

icing a sport

relaxation te

e muscle rel

tematically r

ery (ISM)

ies to Lang’

ocesses that

e concept to f

image itself

poration of a

ormance coac

ndividual (Ah

rally accepte

urgical educa

commonly r

e performanc

te mental p

going researc

cluding com

e positive eff

in, 2004) and

athletes to s

xercise, 2. v

with a relaxa

t is hypothes

t translates th

chniques are

laxation invo

relaxing each

s bioinforma

support and

focus on onl

f, S-the soma

all three elem

ches to focu

hsen, 1984).

d depending

ation, the stu

referenced a

ce also clarif

practice int

ch that MP c

mpetitive spor

ffects of MP

d golf (Brou

successfully

vivid imagery

ation exercis

sized that as

hese associa

e progressive

olves maxim

h muscle gro

ational theor

d contribute t

ly three effec

atic response

ments into im

s on each co

.

g on the perf

udy of MP in

and therefore

fies how elem

to training

continues to

rts. Studies f

including di

uziyne & Mo

incorporate

y using all fi

se has been s

ssociating a s

ated feelings

e muscle rel

mally tensing

oup until the

ry in that it

to the succes

cts of the im

e, M – the m

magery enha

omponent sep

formance

n relation to

e understand

ments of MP

demonstrate

from many

iving, (Grou

olinaro, 2005

MP into spo

ive senses, 3

shown to im

state of contr

into true

laxations and

g the muscles

body is com

60

ss of

magery.

meaning

nces

parately

ding how

P have

e a

uios,

5).

ort

3.

mprove

rol and

d deep

s

mpletely

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61

tranquil. Deep breathing control, also known as diaphragmatic breathing, involves breathing in

deeply through the nose to expand the abdomen and then releasing each breath slowly through

the mouth (Williams & Harris, 2006). Engaging in either technique prior to MP is

recommended.

Second, the key to successfully using MP is being able to use visualization to produce an image

that makes the individual feel like he/she is actually performing the sport (Hale, 1998; Holmes

& Collins, 2001). Obtaining the highest level of vivid imagery requires performers to

incorporate all five senses: sound, sight, touch, smell, and taste. Auditory imagery may be

hearing the edge of an athlete’s ski as it cuts against the underlying snow. Visual imagery may

be seeing a basketball move through the net of the hoop. Olfactory imagery may be the smell of

chlorine before a swimmer enters the pool. Tactile imagery may be adjusting the grip before

swinging a golf club. Kinesthetic imagery may involve feeling the optimal positions of

movement before successfully executing a task (Holmes & Collins, 2001).

Third, in addition to the five senses, incorporating emotion into imagery has also been shown to

strengthen the experience. Athletes may link emotions such as fear, anger, stress or anxiety to a

particular performance. Recognizing and transforming negative emotions into positive feedback

has proven beneficial (R. Vealey & Greenleaf, 2006). For example a soccer player may prepare

for a penalty kick by thinking through the anxiety and pressure that is inevitably present during

the execution of this task. They then are encouraged to visualize a successful goal and link it to

the positive emotions associated with victory, such as elation, or pride (R. Vealey & Greenleaf,

2006).

However, all three of these components can be incorporated into MP that focuses on different

aspects of enhanced performance. Recognizing the diversity of MP within sports, Hall et al.

developed a classification system, separating imagery into five domains (Hall, Mack, Paivio, &

Hausenblas, 1998; Short, Tenute, & Feltz, 2005).

1. Motivation-Specific (MS) – imaging focused on goal specific behavior such as winning a

race or receiving a medal.

2. Motivational General-Mastery (MG-M) – imagery focused on coping during difficult

performance moments, being mentally tough or working on confidence

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3

4

5

Depe

above

MG-M

task t

2.6.2

Simil

the po

appli

acqui

impac

rando

practi

The a

score

Van W

were

sutur

(Sand

MI de

altern

. Motivatio

with sport

. Cognitive

double ax

. Cognitive

cup socce

ending on the

e may be inc

M and MG-A

the focus of

Me2.4

lar to sports,

otential for p

cation of MP

isition, focus

ct of MP in b

omized to thr

ice and men

authors conc

es as compar

Walsum, 200

randomly as

e closure, or

ders et al., 20

emonstrated

native to con

on General-A

ts competitio

e Specific (C

xel or slap sh

e General (C

er game.

e focus of th

corporated. C

A are the foc

the imagery

ntal practic

surgery is a

profound lon

P in surgery

sing on dom

basic open s

ree groups r

ntal rehearsal

cluded that c

red to continu

04). The sam

ssigned to ei

r MI of the s

008). Theref

d a positive im

ntinued phys

Arousal (MG

ons such as r

CS) – using im

hot.

CG) – image

he performan

Classically f

cus, whereas

may be con

ce in surge

a high-stakes

ng-term cons

is relatively

mains CS and

surgical skill

eceiving eith

l for placing

ombining M

ued physical

me research g

ither a textbo

ame procedu

fore, it becam

mpact on pe

ical practice

G-A) – image

relaxation, a

magery to pr

ry of the stra

nce training,

for top tear a

s when novic

ncentrated on

ery

s environmen

sequences fo

y new and ha

d CG. In 200

ls. The autho

her physical

simple inter

MP with phys

l practice alo

group compl

ook descript

ure. The MI

me apparent

rformance a

e on more co

ery that focu

anxiety, arou

ractice and p

ategies for c

a different c

athletes prepa

ce players ar

n CS and CG

nt with narro

or patients be

as been focus

4 Sanders et

ors had sixty

practice alo

rrupted sutur

sical practice

one (Sanders

leted an add

tion of an inc

group outpe

that of the t

and could the

ostly simulati

uses on emot

usal.

perfect sport

competitive e

combination

aring for a c

re learning a

G.

ow performa

eing operate

sed primary

t al. were the

y-five medica

one or a com

res into a po

e resulted in

s, Sadoski, B

ditional study

cision with s

erformed the

two cost effe

erefore be co

ion models.

tion in conju

ting skills su

events such a

n of the five d

competition M

a specific ski

ance margin

ed on. Howev

on technica

e first to stud

al students

mbination of p

orcine foot m

equal perfor

Bramson, W

y where stud

simple interr

e textbook gr

ective modal

onsidered as

62

unction

uch as a

a world

domains

MS,

ill or

s and

ver, the

al skill

dy the

physical

model.

rmance

Wiprud, &

dents

rupted

roup

lities,

an

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63

The impact of MI on minimally invasive techniques was studied first for endoscopy and

for laparoscopy for junior level procedures. In 2009 Komesu et al. utilized the same

methodology as Sanders et al. but compared gynecology residents’ performance on cystoscopy

after being trained by either MP or a textbook description of the procedure. They concluded that

the MP groups outperformed the textbook group by 15.1% (p=0.03). Initial study in the areas of

laparoscopy demonstrated conflicting reports. Immenroth et al. demonstrated that MP did not

improve laparoscopic cholecystectomy performance in already practicing surgeons (Immenroth

et al., 2007) and Jungman et al. reported that MI did not show an advantage in performance of

laparoscopic knot tying (Jungmann et al., 2011). However, Arora et al. criticized these studies

and identified that an insufficient description of how MP was being delivered to the participants

was problematic(S. Arora et al., 2010). Insufficient descriptive methodology made it difficult to

understand the reasons for the discrepancies in the results and, furthermore, impossible to

replicate these studies. To rectify this deficiency, Arora et al. developed and validated an MP

protocol for surgery (

Figure 8).

Page 80: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

Figur

The M

traine

2010)

contr

levels

the R

reside

re 8: Mental

MP protocol

ees performi

). The autho

rol group and

s being equa

RCT describe

ents, MP wa

Men

V

pro

Fa

MPof

Ment

Practice pro

was tested d

ing laparosco

ors reported t

d scored stat

al (S. Arora,

ed in chapter

as delivered t

Introductio

Relax

ntalImagery

Videowithex

cedurewith

amiliarizatio

procedurew

talImagery

otocol for sur

during a rand

opic cholecy

that the stude

tically superi

Aggarwal, S

r 6 using MP

to the partici

ontomental

xationexerc

yQuestionn

xpertsperfo

htalk‐overo

on/learning

withextern

Questionna

rgery, adopt

domized con

ystectomy on

ents random

ior despite b

Sirimanna, e

P as an adjun

ipants using

lpractice

cise

aire(pretes

ormingthe

ofMPscript

gMPscripts

naltalk‐outl

aire(post‐te

ted from (S.

ntrolled trial

n a virtual re

mized to the M

baseline char

et al., 2011).

nct for advan

g a similar pr

st)

ts

s

loud

est)

Arora et al.,

l (RCT) in n

eality simula

MP group ou

racteristics a

Therefore w

nced laparos

rotocol.

, 2010).

novice surgic

ator (S. Arora

utperformed

and technical

when conduc

scopy in seni

64

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Page 82: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

a tech

exclu

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66

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67

factors within the operating room are termed non-technical skills (Yule & Paterson-Brown,

2012). Non-technical skills include: teamwork, communication, situational awareness and stress

management and have been recognized as an important part of a functioning within the real

operating room (Helmreich, 2000). Deficiencies in non-technical skill, especially

communication within the operating room, have been identified as the reason for approximately

60% of perioperative complications (Greenberg et al., 2007). The physiologic release of cortisol

induced by stress has been shown to modify cognitive processes in memory, performance and

decision making (de Quervain, Roozendaal, Nitsch, McGaugh, & Hock, 2000; Johnston,

Driskell, & Salas, 1997; Kirschbaum, Wolf, May, Wippich, & Hellhammer, 1996; Wolf, 2003)

Therefore, utilizing MP as an adjunct to control stress may be a potential strategy to improve

non-technical performance.

Four main valid and reliable assessment tools have been developed to evaluate non-technical

skills of different team members within the operating room: surgeons, nurses or anesthetists

(Table 7). These assessments are GRS that rely on direct observation of the operating room

personnel and therefore have the same advantages and disadvantages to the technical skill GRS

described in section 2.5.2.

Of the available tools, NOTSS and OSANTS both assess the surgeon role within the operative

team. Given that the study described in chapter 6 assessed the effect of MP on the surgeon in the

operating room, NOTSS was used because it was the only surgeon role assessment tool

available at the time the study was completed.

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68

Table 7: Assessment tools of non-technical skills in the operating room

Name of assessment tool

Operating room team member being assessed

Non-technical skills included

Scale Reference

Non-technical skills for surgeons (NOTSS)

Surgeon Situational awareness Decision making Communication and teamwork Leadership

4 point Likert scale

(Yule et al., 2008)

Objective structured assessment of nontechnical skills (OSANTS)

Surgeon Situational awaress Decision making Teamwork Communication Leading and directing Professionalism Managing and coordinating

5 point Likert scale

(Dedyetal.,2015)

Anaesthetists' non-technical skills (ANTS)

Anaesthetist Situational awareness, Decision making Task management Team working

4 point Likert scale

(Lyk-Jensen, Jepsen, Spanager, Dieckmann, & Ostergaard, 2014)

System for scrub practitioners' non-technical skills (SPLINTS system)

Nurses and technicians

Situational awareness Communication and teamwork Task managmenet

4 point Likert scale

(Mitchell et al., 2013)

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Cha3

visu

perf

train

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apter 3: P

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systematic re

onstrated a p

oscopic box

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al ability test

graduate surg

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ting resident

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eview (sectio

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erefore the fo

charov TP. P

roscopic bas

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chnical abilit

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s were studie

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cube compa

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se technical

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seline perform

o.2015 June

ests that desp

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using a quest

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ionnaire

Page 86: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

Resu

signif

was a

cube

p=0.0

signif

perfo

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techn

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skills

innat

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ce heavy and

f didactic lea

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res was asso

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nts who scor

ength score

pleting the L

sts (PicSOr, C

ical trainees

valuated cor

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gh-stakes, hi

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CC or CR) a

that predict

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reliably pred

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71

Surgical practice is similarly a high-stakes, high-performance profession. While technical skill

represents only a portion of the expertise expected of practicing surgeons, it is an unavoidable

component of the field, and emerging evidence suggests that it may also be linked to patient

outcomes (Birkmeyer et al., 2013). Furthermore, it is increasingly important given the changing

training and practice landscape, including increasing reliance on more technically challenging

minimally invasive techniques, and reduced work hour restrictions in the training milieu

(Accreditation Counci for Graduate Medical Education, 2013; Crothers, Gallagher, McClure,

James, & McGuigan, 1999; Deziel et al., 1993). To account for these changes a number of

innovations have been introduced to enhance the surgical training environment, including the

use of validated simulation models and competency based training curricula ("CanMEDS 2015:

The next evolution of the CanMEDS Framework," 2013; Palter, Orzech, Reznick, &

Grantcharov, 2013;

Royal College of Surgeons of England Royal College of Surgeons of England, 2013; Zevin B et

al., 2013). Focusing on optimizing the selection process for surgical trainees will further

complement these changes. While a range of subjective and objective selection criteria are used

for admission into surgical training, these are generally limited to assessments of theoretical

knowledge, clinical skills, and professionalism. However, it has been well documented that

surgical trainees acquire technical skills at variable rates, and that some trainees may not reach

competence despite dedicating time, effort and repetitive practice. Grantcharov, Schijven, and

Alvand et al. have all reported this phenomenon, and have suggested that between 8 and 16

percent of contemporary surgical trainees fall within this group (A. Alvand, S. Auplish, H. Gill,

& J. Rees, 2011; Grantcharov & Funch-Jensen, 2009; M. P. Schijven & Jakimowicz, 2004).

Thus, while current criteria may effectively select candidates with desirable theoretical

knowledge and professional attitudes, finding reliable measures to select residents able to reach

competence in technical skills will undoubtedly further improve the selection process.

Several authors have suggested that previous experience with tasks requiring hand-eye

coordination, and/or superior innate visual spatial 2D-3D conversion ability, may predict the

acquisition of laparoscopic and endoscopic skills (A. G. Gallagher et al., 2003; D. Stefanidis,

Korndorffer, et al., 2006). However, the evidence correlating these surrogate markers to surgical

technical skills are limited and inconsistent (Maan, Maan, Darzi, & Aggarwal, 2012). Therefore,

the purpose of the present study was to evaluate whether previous surgical experiences, non-

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surgi

the no

3.3

3.3.1

All in

consi

start o

traine

comm

speci

the st

traine

techn

(e.g.

reside

schoo

Resea

provi

3.3.2

The r

and n

to lap

2012

cal experien

ovice surgic

Materia

1 Partic

ndividuals en

idered eligib

of the Depar

ees consente

monly report

alty, and we

tudy. The su

ees at the aut

niques, prepp

laparoscopy

ency, and att

ol. On comp

arch Ethics B

ided informe

2 Demo

residents com

non-surgical

paroscopic p

; Ju, Chang,

nces and 2D-

al trainee.

als and M

cipants and

ntering their

ble to particip

rtment’s man

ed to particip

ted that they

ere therefore

urgical boot c

thors’ institu

ping and drap

y and microsu

tempts to ho

letion of the

Board appro

ed consent to

ographics

mpleted a de

experiences

rocedures, v

Buckley, &

-3D visual sp

Methods

d setting

first year of

pate in the pr

ndatory surg

pate in the stu

felt that lap

not intereste

camp is a ma

ution that pro

ping) and in

urgery). The

omogenize th

e boot camp

oval was obta

o participate

and partici

emographics

s thought to c

video games

& Wang, 2012

patial tests co

f surgical tra

resent study

gical boot cam

udy. Trainee

aroscopic sk

ed in the add

andatory intr

ovides teach

ntroductions

e boot camp

he varied exp

a bell ringer

ained prior to

in the study

ipant quest

sheet along

contribute to

and musical

2; Paschold

orrelate with

aining at the

y, and were in

mp. Thirty-s

es who decli

kills were no

ditional lapa

roductory co

hing in basic

to specialty-

takes place

posures of th

r examinatio

o data collec

y.

tionnaire

with a ques

o baseline su

l instrument

et al., 2011)

h baseline la

University o

ntroduced to

seven of a to

ined to partic

ot pertinent t

aroscopic exp

ourse for all

surgical ski

-specific sur

during the fi

he cohort du

n is used to

ction, and al

stionnaire qu

urgical skill i

s (Adams, M

).

aparoscopic s

of Toronto w

o the study a

otal of 57 eli

cipate most

to their surgi

posure provi

first-year su

ills (e.g. steri

rgical techniq

first two wee

uring medica

assess the tr

l participant

uantifying su

including ex

Margaron, &

72

skills in

were

at the

gible

ical

ided by

urgical

ile

ques

eks of

al

rainees.

ts

urgical

xposure

Kaplan,

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73

3.3.3 Visuospatial testing

Participants then completed three previously validated visual spatial tests designed to evaluate

innate 2D-3D visual spatial ability. The intent was to combine visual spatial tests that have

demonstrated positive relationships with minimally invasive technical skills in previous studies,

and were therefore believed to measure the innate abilities necessary for incoming trainees to

excel in laparoscopy (Buckley et al., 2013; Buckley et al., 2014; A. G. Gallagher et al., 2003; D.

Stefanidis, Korndorffer Jr, et al., 2006). The following tests were used: the Pictorial Surface

Orientation (PicSOr) test (A. G. Gallagher et al., 2003), the cube comparison test

(CC),(Ekstrom, French, Harman, & Dermen, 1976) and the card rotation test (CR) (Ekstrom et

al., 1976). The PicSOr test evaluates 2D-3D conversion ability by requiring participants to orient

a rotating arrow at a 90-degree angle to one side of an underlying cube. Initially, students used

the PicSOr test in practice mode, receiving immediate feedback from the software concerning

the actual arrow to cube angle. No limitations were set for the duration of practice, and a single

instructor was available to answer questions during this time. Once participants felt ready to

proceed, the software was switched to experiment mode (Figure 9). During the experiment, 35

angle estimations were completed and students were instructed to complete the task as quickly

and accurately as possible. No time restriction was enforced. The scores were graded as

described by the creators of PicSOr (A. G. Gallagher et al., 2003). The students then completed

the CC tests and CR test paper tests, administered as directed by the test copyright holder’s

(Educational Testing Service, Princeton New Jersey) official test administration manual Figure

10 (Ekstrom et al., 1976). The participants started by performing three practice exercises before

starting the test, with a single instructor present to correct and explain the questions. Next, the

two-page test was administered and timed, with 3 minutes allotted per page, totaling 42 cube

comparison exercises and 20 rows of card rotation tests. The students were instructed to work

through the questions as quickly and accurately as possible. The tests were graded with the

answer key provided in the test administration manual, with negative marking for incorrect

answers.

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Figur

Setup

degre

Figur

test (C

re 9: Pictoria

p to change b

ees to the un

re 10: Paper

CR) and (b)

al Surface or

between prac

derlying cub

tests used to

cube compa

rientation tes

ctice and exp

be.

o assess 2D-3

arison test (C

st (PicSOr) u

periment mo

3D visual sp

CC)

used to asses

ode. b. rotati

patial ability

ss 2D-3D pe

ing arrow or

included the

erception abi

iented to lie

e (a) card ro

74

lity. a.

90

otation

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75

3.3.4 Laparoscopic skills familiarity session

Residents were exposed to basic laparoscopic techniques during a mandatory 2 hour boot camp

session. The purpose of this session was to ensure that all residents were familiar with the

laparoscopic instruments and basic simulated tasks. First, students watched a video illustrating

each of the three Fundamentals of Laparoscopic Surgery (FLS) exercises. Subsequently,

students attempted the three tasks: the peg transfer task, the laparoscopic circle cut (LCC) task,

and intracorporeal knot tying.(Peters et al., 2004) Additionally, residents had the opportunity to

attempt three basic LapSim virtual reality simulator (Surgical Science, Gothenburg, Sweden)

tasks including: laparoscopic camera navigation (LCN), the coordination task, and the lifting

and grasping task. Three surgical faculty and two senior surgical residents were present at the

laparoscopic session to answer questions and demonstrate the tasks for the first year trainees. No

formal training was offered during this session.

3.3.5 Assessment of laparoscopic baseline skill

Students were given a maximum of 300 seconds to complete the laparoscopic circle cut task in

the box trainer. Students were asked to cut out the circle as quickly and accurately as possible

(E. M. Ritter & Scott, 2007). The circle cut task was scored by a single grader using the

objective FLS scoring system, with lower scores representing better performance: final score

(max 300)= total time (seconds) + error (surface area of white gauze from the black line). Each

resident was then given three attempts at the LCN task on the virtual reality (VR) simulator and

the best score was retained for assessment. The LCN task was scored using three VR metrics:

total time, instrument path length and instrument angular path. LCN total score was generating

by adding these three components in equal weights.

3.3.6 Statistical Methods

One-way analysis of variance (ANOVA) was used to assess the relationships between previous

surgical and non-surgical experiences and the laparoscopic tasks. Hochberg post hoc analysis

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was u

signif

corre

abilit

visua

data w

3.4

3.4.1

The g

with

repre

3 from

Thirty

comp

reside

into C

stand

used in the c

ficance occu

lation analys

ty tests and t

al spatial test

was analyze

Results

1 Demo

group includ

a median ag

sented in the

m plastic sur

y-three parti

pleted 1-2 jun

ency abroad

Canadian sur

dardized cour

ases where t

urred. Leven

sis was used

he two lapar

t scores. Val

s using SPSS

s

ographics

ded 37 first y

ge of 27 year

e sample (14

rgery, 3 from

icipants had

nior resident

and fellows

rgical reside

rse (Table 8)

the ANOVA

’s test was m

d to examine

roscopic skil

ues are prese

S 22.0 softw

year surgical

rs of age (ran

4 from gener

m vascular su

no previous

t years of su

ship training

ency training

).

A was signifi

met for all AN

the relation

ll test scores

ented as med

ware (SPSS I

residents, 2

nge 23-37 ye

ral surgery, 8

urgery, and o

surgical tra

urgery trainin

in vascular

g. None of th

icant in orde

ANOVA calc

nship betwee

s, because of

dian (range)

Inc., Chicago

27 men and 1

ears). Seven

8 from ortho

one each fro

aining outsid

ng, and 1 had

surgery in C

he participan

r to identify

culations. Sp

en the three i

f non-normal

) unless state

o, Illinois).

11 females, a

surgical spe

opaedic surge

om 5 differen

de of medical

d completed

Canada, befo

nts had comp

the level at

earman’s rh

innate visual

l distribution

ed otherwise

all right hand

ecialties were

ery, 4 from u

nt specialties

l school, 3 h

d a full surgic

ore being acc

pleted the FL

76

which

o

l spatial

n of

. All

ded,

e

urology,

s).

had

cal

cepted

LS

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77

Table 8: Demographic and background characteristics of study participants

Background characteristic No. of

participants

Gender

Males 26

Females 11

Handedness

Right 37

Left 0

Surgical program

Plastic surgery 3

General surgery 14

Ear nose and throat surgery 1

Orthopaedic surgery 8

Urology 4

Neurosurgery 2

Cardiac surgery 2

Vascular surgery 3

Previous surgical training

None 33

1-2 junior years 3

Completed vascular surgery 1

Fundamental of laparoscopic surgery

Yes 0

No 37

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78

Table 9: Previous surgical and non-surgical experiences

Type of previous experience No. of

participants

LCN

p - values

LCC

p - values

Observed laparoscopic procedures

None 0

0.04* 0.55 <10 8

10-20* 12

>20* 17

Drove the laparoscopic camera

None 2

0.55 0.01* <10 25

10-20 6

>20* 4

Musical instrument

None 13

0.86 0.70 Piano 11

String instrument 4

Wind instrument 5

Musical royal conservatory grade

None 19

0.37 0.14 < grade 5 9

> grade 5 9

Exposure to video games

None 17

0.43 0.38 >1-2 times/week 7

1-2 times/month 10

1-2 times/year 3

*Indicates level of significance after post-hoc analysis with Hochberg for alpha <0.05

NB: LCN - laparoscopic camera navigation, LCC - laparoscopic circle cut

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79

3.4.2 Participant questionnaire

Of all the baseline surgical and non-surgical experiences assessed, only previous laparoscopic

experience was significantly predictive of baseline surgical skill on entering residency. Students

who had observed >10 laparoscopic procedures scored significantly higher on the LCN task

(mean 63.0 points compared to 57.9 points; p=0.04), when compared to those who had observed

between 0 and 10 procedures. Furthermore students who reported laparoscopic camera

navigation experience in more than 20 operative cases performed the LCC task significantly

faster and with more accuracy (lower score) than students who had less laparoscopic experience

(means score of 240.3 points compared to 323.8 points; p =0.01). No relationship was seen

between performance on either technical task and video game or previous music instrument

experience, whether assessed by instrument played or Royal Conservatory of Music grade level

completed (Table 9).

3.4.3 Correlation of visual spatial skills and laparoscopic baseline performance

Residents who scored higher on the CC test demonstrated more accurate LCN path length (rs(PL)

=-0.36, p=0.03) and angle path (rs(AP) =-0.426, p=0.01) scores during the LCN task. However,

participants’ time to complete the LCN task was not significantly associated with their CC test

scores (rs(time) =-0.04, p=0.84). No significant correlations were identified between LCN metrics

and PicSOr (rs(PL) =0.19, p=0.25, rs(AP) =0.25, p=0.141, rs(time) =-0.27, p=0.14) or CR (rs(PL) =-

0.06, p=0.74, rs(AP) =-0.06, p=0.74, rs(time) =-0.07, p=0.70) test scores. In addition, no significant

correlations were observed between LCC time, error and total score when compared to all the

three visual spatial tests (Table 10).

When examining the relationship between individual visual spatial tests a significant correlation

was seen between CC and CR tests (rs =0.33, p=0.05), suggesting that these tests measure

related visual spatial abilities. However, no correlation was seen between the PicSOr and CC or

CR tests (rs =-0.01, p=0.93 and rs =-0.07, p=0.69 respectively).

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Table 10

Name of t

Laparo

naviga

Laparo

*Indicates

3.5

Recen

techn

techn

to rea

to im

chara

corre

Few s

basel

found

0: Correlation

echnical task

oscopic camera

ation

Time

Path Length

Angular Pat

Combined S

oscopic circle c

Time

Error

Combined s

s statistical sign

Discuss

nt evidence

nically comp

nical aptitude

ach technica

mplement. Ho

acteristics an

late with bas

studies have

ine laparosc

d that those w

n of 2D-3D

PicSO

a

0.27

h 0.19

h 0.25

Score 0.22

cut

-0.08

0.13

core -0.05

nificance for an

sion

has challeng

ponent surgeo

e into the ex

l competenc

owever, desp

nd visual spa

seline simula

e investigated

copic skills in

who had ove

innate abilit

Or p - value

7 0.11

9 0.25

0.14

2 0.19

8 0.66

0.44

5 0.77

n alpha <0.05

ged the tradit

ons given de

isting selecti

cy during trai

pite investiga

atial tests, on

ated laparos

d the relation

n novice trai

er 20 hours o

ty tests with

Name of

Card rotati

test

-0.07

-0.06

-0.07

-0.08

0.009

-0.18

-0.16

tional assum

edicated time

ion process t

ining is not o

ating a broad

nly previous

copic perfor

nships betwe

inees. In a st

of experience

laparoscopic

f visual spatial

ion p - valu

0.70

0.74

0.66

0.64

0.96

0.29

0.35

mption that a

e and practic

to identify c

only appeali

d range of po

laparoscopic

rmance.

een previous

tudy of 25 m

e assisting w

c surgical sk

test

ue

Cube

comparis

n test

0.04

-0.36

-0.43

-0.42

0.19

0.11

0.14

ll trainees w

ce. Incorpora

candidates w

ing, but coul

otentially pr

c experience

s surgical ex

medical stude

with laparosc

kill

so p - value

0.84

0.03*

0.009*

0.01*

0.26

0.52

0.4

will become

ating a meas

who are more

ld be relative

redictive bac

e seemed to

xperience and

ents, Benarje

copic operati

80

sure of

e likely

ely easy

ckground

d

ee et al.

ions had

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81

significantly faster performance on an intracorporeal knot tying task (Banerjee, Cosentino,

Hatzmann, & Noe, 2010a; Buckley et al., 2014). Similarly, in the present study, residents who

had previously navigated a laparoscopic camera in more than 20 cases scored better on the LCC

task compared to trainees with less experience. Additionally, those who had observed more than

10 hours of laparoscopic surgery performed significantly better on the LCN task. These findings

suggest that exposure to laparoscopy during medical school may be one way to gauge initial

performance on basic laparoscopic tasks.

Other non-surgical characteristics that can be obtained through a questionnaire such as: gender,

handedness, typing performance, musical instrument ability, sewing, self-perceived dexterity,

and interest in surgery and sports, have repeatedly been shown to not be predictive of surgical

skill in a large number of studies including the present study (Cope & Fenton-Lee, 2008;

Lokuge, 2012; Madan et al., 2008). However, in contrast to the present study, increased video

game experience has been previously shown to correlate with superior baseline laparoscopic

performance (Hislop et al., 2006; Nomura et al., 2008; Paschold et al., 2011; Van Hove et al.,

2008). Paschold et al. reported that video game experience correlated with better VR

performance in two tasks (grasping and retracting tissue, and applying clips on the cystic duct

and artery) (Paschold et al., 2011). In the present study, the low number of participants in each

video game subgroup may explain the discrepancy in these findings. Nevertheless, even when

gamers exhibit an initial advantage in performance, Van Hove et al. reported that their

performance equalizes with that of non-gamers following even modest amounts of practice (Van

Hove et al., 2008). If the technical gaming advantage can be quickly learned, quantifying

gaming experience is of little utility for surgical selection. Therefore, while non-surgical

information obtained through questionnaires or curriculae vitae, may have some value in

highlighting extracurricular accomplishments and interests among candidates for surgical

training, this information does not appear to predict initial technical performance in the

contemporary training milieu.

While it is generally accepted that visual spatial 2D-3D conversion ability is required to perform

laparoscopic and endoscopic procedures, there is considerable variability in the reported

correlations between the results of formal visual spatial testing and performance on these

procedures. As a result, the reliability of formal visual spatial testing is questionable. In the

present study, residents who obtained a higher score on the CC test performed better on the VR

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82

LCN task in two of three metrics, but not on the LCC box-training task. Furthermore, despite a

significant relationship between participant’s performance on the CR and CC task, no

correlation was identified between CR test scores and performance on either of the studied

laparoscopic tasks. In keeping with these inconsistencies, Enochsson et al. found that the CR test

did not reliably predict simulated gastroscopy performance in the novice trainee. Additionally,

the authors found that expert gastroscopists performed worse on the CR test when compared to

novice trainees (L. Enochsson et al., 2006). In contrast to these findings, Arora et al. reported a

positive correlation between medical students’ CC, CR and PicSOr test results, and their

performance on simulated endoscopic sinus surgery (H. Arora et al., 2005; Westman et al.,

2006). The PicSOr test, while designed specifically to test the perceptual ability thought to be

required for laparoscopy, has also demonstrated inconsistent associations with surgical

performance. Gallagher et al. reported positive correlations between surgical trainees’ PicSOr

results and their performance on the LCC task, and Kolozsvari reported similarly positive

correlations with laparoscopic peg transfer performance in the novice trainee. In contrast

Stefanidis et al. demonstrated no correlation between PicSOr test results and a range of

laparoscopic simulator tasks (D. Stefanidis, Korndorffer, et al., 2006). This is in keeping with

the results of the present study, where the PicSOr test failed to predict performance on any

simulated laparoscopic tasks. Similarly Thus, it would appear that although visual spatial ability

is thought it be essential for laparoscopic performance, the performance scores generated by the

PicSOR, CC and CR tests do not appear to accurately and consistently predict baseline technical

skill performance in novice trainees entering surgical residency. As a result, these tests in their

current form do not appear to be sufficiently reliable for use during trainee selection.

We acknowledge several limitations to the present study. First, due to the structure of the final

bell ringer examination, there was only enough time for a single attempt at the LCC.

Recognizing that baseline skill assessment can vary substantially in novice trainees between

consecutive attempts, using either the best or average score of three trials may have improved

the accuracy of assessment by reducing the effect of test-retest variance. Second, we were

limited by the relatively small size of our study cohort, potentially increasing the risk of a type II

error in our statistical analyses, most notably with respect to comparisons made using ANOVA.

Finally, it is possible that participants who were entering surgical specialties with limited or no

laparoscopic procedures may have been less motivated to perform well, biasing the results.

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83

However, it would appear that many of these residents declined to participate in the study in the

first place, given the large number of non-participants who cited this reason. Nevertheless,

despite these limitations, we believe that the concurrent assessment of multiple different

potential predictors of baseline laparoscopic skills in novice trainees in our study provides

valuable, novel evidence concerning the reliability of these assessment tools.

The findings of the present study suggest that trainees who have previously had the opportunity

to observe and participate in laparoscopic cases have better baseline laparoscopic skills.

However, surgical technical skills, and the aptitude to acquire them, do not appear to transfer

from other life exposures or non-surgical experiences. Furthermore, formal tests of visual spatial

ability have demonstrated inconsistent associations with technical skills. The execution of any

given technical task is likely to be the result of a complex matrix of aptitudes that combine in

different ways and result in varied performance levels. Therefore, isolated formal tests of visual

spatial ability likely oversimplify this matrix of aptitudes, resulting in the previously described

inconsistent relationships with technical performance. Given these findings, instead of relying

on surrogate markers, future work may be best directed toward assessing the predictive value of

performance on higher-fidelity tasks that more closely replicate actual surgical tasks. Examples

might include performance of tasks in the simulation laboratory that have been validated and

shown to transfer into the operating room.

While the use of selection tests for incoming surgical trainees that predict future technical skill

performance would be beneficial in optimizing the technical competence of graduating

surgeons, surrogate markers such as non-surgical experience and visual spatial tests do not

appear to be reliable predictors. Given the poor predictive ability of the range of factors and tests

evaluated in the present study, and the conflicting data in the literature, it is reasonable to

conclude that novel approaches are required to identify reliable predictors of technical skill

performance in surgical trainees, and to identify those candidates most likely to reach technical

competence in the contemporary training environment.

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Cha4

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assessing tech

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ks (coordina

graduating r

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of trainees w

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were open ta

ation, graspin

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ss.

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as been peer

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. The purpos

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who have dif

of GS candid

nce.

nded, followe

dministered.

trongly agre

11, of a pote

however, th

n this area. C

d: work ethi

asks (one-han

ng and cuttin

d difficulty r

this domain

sic open and

gery

reviewed by

as competen

se of the pres

processes 2)

fficulty achi

dates, and th

ed by a close

A Cronbach

ee) determine

ential 17, GS

he majority o

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nded tie and

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reaching

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cluded

ic skills

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85

4.1.1 Background

Surgical programs strive to recruit trainees who will graduate as competent surgeons. To

structure entry into surgical post-graduate training programs in North America, national match

systems are used to pair final year medical students to specialty programs (e.g. general surgery

(GS) or neurosurgery) (CaRMS, 2016; NRMP, 2016). Therefore, unlike many countries,

medical students are admitted directly into a surgical specialty program without completing an

internship or advancing from basic to advanced surgical training (Condon et al., 2013; Erasmus,

2012; Anthony G. Gallagher, Leonard, & Traynor, 2009; Anthony G. Gallagher et al., 2008;

Levitt & Klein, 1991). Thus, Canadian and American programs are in a unique position because

they are selecting candidates into specialty, without having the opportunity to assess their

independent performance in the clinical environment or their acquisition of technical skill in the

operating room.

Intuitively, however, students who apply to enter surgical training likely enjoy working with

their hands and may self-select as better technicians. It has been reported that students who

apply to surgical specialties have a higher self-perceived confidence in their manual dexterity

and ability to “work well with their hands,” as compared to their medical colleagues (J. Y. Lee,

Kerbl, McDougall, & Mucksavage, 2012; Van Hove et al., 2008). However, when comparing

these two groups with objective technical skill assessment metrics, the incoming surgical

trainees do not outperform the internist (Cope & Fenton-Lee, 2008; Panait et al., 2011). Self-

selection cannot be relied upon to ensure that surgical applicants have a high potential for

technical performance and therefore it may be appropriate that surgical programs are given the

responsibility to make this assessment instead.

In the current North American system, technical skill is not routinely a component of the

selecting process. This may be due to the strong belief, supported by Ericsson learning theory,

that ongoing practice and mentorship will eventually translate into expert performance (K. A.

Ericsson, 2007). However, with work-hour restrictions, increasing complexity of surgical

techniques and increased patient safety concerns, the feasibility of this model has been

challenged (Kothari & Ponce, 2014). It has been reported that trainees are not reaching their

expected technical milestones by the end of training, which are then reflecting in their

performance at the fellowship level (Antiel, Thompson, Camp, Thompson, & Farley, 2012).

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Unite

indep

30 m

benef

able r

Howe

McIn

There

the G

propo

traine

techn

4.2

Rese

The U

4.2.1

All C

progr

contr

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proce

match

weigh

asked

evalu

reach

ed States fell

pendently pe

inutes durin

ficial for trai

reach techni

ever, there is

nnes, & Sing

efore, the pu

GS selection

ortion of trai

ees; and 3) e

nical skills th

Method

earch ethic

University o

1 Curre

Canadian GS

rams are stru

rast to indivi

key (Palo Al

ess across th

h system (Ca

hted score fo

d whether ap

uated during

hing compete

lowship PDs

erform a lapa

g a major pr

ining progra

cal compete

s a lack of ev

gh, 2013).

urpose of the

process at di

inees who do

establish nati

hat would be

ds

cs

f Toronto Et

ent selectio

program dir

uctured unde

dual hospita

lto, CA), wa

e country. A

aRMS- Cana

or each comp

pplicants’ cli

the selection

ence in these

s reported th

aroscopic ch

rocedure (Ma

ms to adjust

nce within th

vidence to g

e present stud

ifferent insti

o not achieve

ional consen

e most indica

thics Review

on practice

rectors (PDs

er the umbrel

al programs.

as used to ide

Although the

adian Reside

ponent of th

inical knowl

n process, an

e three doma

at a significa

olecystectom

attar et al., 2

t the GS sele

he restriction

uide this asp

dy was to: 1)

itutions; 2) s

e the minimu

nsus on the d

ative of futur

w Board appr

es

s) were invit

lla of a Univ

An online q

entify the cu

written appl

ent Matching

e application

edge, decisio

nd what perc

ains by the ti

ant proportio

my or operat

2013). Given

ection proces

ns of the cur

pect of the se

) identify the

solicit progra

um standard

desired attrib

re performan

roved this st

ed to partici

versity with

questionnaire

urrent compo

lication is st

g Service), P

n at their ins

on-making a

cent of traine

ime of gradu

on of GS fel

te unsupervi

n these repor

ss to recruit

rrent training

election proc

e current com

am directors

ds expected o

butes of GS c

nce.

tudy.

pate. In Can

a recognized

e, administer

onents used i

tandardized b

PDs were ask

stitution. In a

and technica

ees they felt

uation.

llows could n

sed for more

rts, it may be

applicants w

g environme

cess (Kenny

mponents us

’ opinions o

of graduating

candidates, a

nada, all train

d medical sc

red using Su

in the GS sel

by the nation

ked to provi

addition, PD

al skill were

had difficul

86

not

e than

e

who are

ent.

y,

sed in

n the

g

and the

ning

chool, in

urvey

lection

nal

de the

Ds were

lty

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87

4.2.2 Delphi consensus methodology

A Delphi questionnaire was administered to gain consensus on which candidate-specific

attributes are important for residents to succeed in GS training. In addition, consensus was

sought on the simulated technical skills (both open and laparoscopic) that are most likely to be

indicative of a trainee’s aptitude to acquire more complex surgical skills and thus future

performance.

The Delphi methodology was originally developed in the 1950s by the RAND Corporation to

evaluate trends in technology on warfare, but continues to be widely used to create public

policy, clinical guidelines or to formulate training recommendations by aggregating the opinions

of experts, where little empirical evidence is available (Elissen, Struijs, Baan, & Ruwaard, 2015;

Loeffen et al., 2015; RAND, 1976; B. Zevin, Levy Js Fau - Satava, Satava Rm Fau -

Grantcharov, & Grantcharov). This methodology is comprised of four essential components: an

expert panel, the promotion of anonymous responses, multiple rounds of questions, and

statistical feedback to encourage convergence of responses until an acceptable consensus is met

(RAND, 1976).

4.2.3 Expert panel

Canadian general surgery PDs were invited by email to participate in this Delphi process. This

group of individuals was selected to participate due to their unique expertise with trainee

selection, as acquired through leadership in this process at their respective institutions.

4.2.4 Anonymity

A strength of the Delphi technique is that it protects against bias by prohibiting face-to-face

contact amongst the panel members, thus decreasing dominant verbal opinions, seniority or in-

person arguments which have been reported to sway the panel (Cuhls, 2005; Murphy et al.,

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88

1998). In the present study, individual anonymous opinions were encouraged through an online

questionnaire, limiting the risk of interaction between panel members (Murphy et al., 1998).

4.2.5 Rounds of questions

The Delphi process calls for a minimum of two rounds of questions, with the first open-ended

and the second closed-ended (Cuhls, 2005; Powell, 2002). Open-ended questions encourage

responses from the expert panel without directing their opinions to multiple-choice answers

(Powell, 2002). In the present study, the first round of open-ended questions was then

supplemented with literature in the field to ensure completeness for the second-round of closed-

ended questions. In the second round, responses to closed-ended questions are solicited using a

Likert scale to allow for statistical feedback to panelists, and to encourage convergence of

responses to create consensus (Jairath & Weinstein, 1994). In our study, the closed-ended

questions were formulated on a 5-point Likert scale (1- strongly disagree, 2 – disagree, 3 -

somewhat agree, 4 – agree, 5 - strongly agree).

4.2.6 Consensus

Consensus for each section of the Delphi is calculated with a Cronbach’s alpha, which is a

statistical measure of internal consistency or homogeneity of expert responses. A Cronbach’s

alpha of ≥0.8 has previously been reported to be an acceptable benchmark for consensus and

was therefore used as the cutoff for this study (Graham, Regehr, & Wright, 2003). Subsequent

rounds are performed until consensus is met. The present study met consensus after the second

round.

4.2.7 Recommendations for incorporation into selection

Once consensus was achieved, each questionnaire item was assessed for whether the agreement

among experts was found to be positive, neutral or negative. Only items that reached positive

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agree

was a

agree

either

attrib

Satav

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4.3.1

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round

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view score (w

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majority of P

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hen >80% of

kert scale. Ne

y disagree) or

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charov, 2012

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east one GS

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nal statement

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cal knowled

ios. Finally,

rence letters.

PDs felt that

ge (range 0-

ed for incorp

f experts rate

egative agree

r 2 (disagree

ion. Neutral

2).

on process

ors across C

respectively.

program res

orted to occu

erview. All p

ever the weig

t 5-25%, cur

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on interview

utoff. Follow

g the written

0-75%). Ten

to assist with

dge using tran

only 2 of 14

.

less than 5%

10%), that 5

poration into

ed the attribu

ement was e

e) on the Lik

agreement i

anada, 14 an

. Excellent r

sponding fro

ur in two stag

programs rep

ghted score o

rriculum vita

eference lett

ws offered to

wing the inte

n application

n of 14 progr

h decision m

nscripts, refe

4 programs a

% of trainees

-10% of trai

o the selectio

ute or skill as

established w

kert scale, op

included all

nd 11 partici

representatio

om each prov

ges: review

ported using

of the compo

ae 10-35%, r

ters 10-40%

o those candi

erview, each

n score (weig

rams reporte

making at the

ference letter

assess techni

s have difficu

inees has dif

on process. P

s a 4 (agree)

when >80%

pposing inclu

other respon

ipated in the

on was achie

vince (Table

of written ap

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onents varie

research invo

. Candidate’

idates who a

h applicant’s

ghted 25-60%

ed using refe

e time of can

rs, curriculum

cal skill thro

ulty reachin

fficulty in de

Positive agre

or 5 (strong

of response

usion of thos

nses (B Zevi

first and sec

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e 11). The se

pplications,

d review pro

d between

olvement 10

’s application

achieved sco

final rank sc

%) and the

rence letters

ndidate select

m vitae and

ough simulat

g competenc

ecision-maki

89

ement

gly

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n scores

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ted

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ing

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90

(range 0-20%), and that 5-15% (range 0-15%) in technical skill by the time of completion of

training (Table 12).

Table 11: Participating Canadian General Surgery Programs

Participating Programs (n=14) Location

McMaster University* Hamilton, Ontario

University of Montreal* Montreal, Quebec

University of Manitoba* Winnipeg, Manitoba

Dalhousie University Halifax, Nova Scotia

Memorial University St. John, Newfoundland

Sherbrooke University Montreal, Quebec

University of Alberta Edmonton, Alberta

University of British Columbia Vancouver, British

Columbia

University of Calgary Calgary, Alberta

University of Ottawa Ottawa, Ontario

Queens University Kingston, Ontario

University of Saskatchewan Saskatoon, Saskatchewan

University of Toronto Toronto, Ontario

Western University London, Ontario

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91

* Programs that only participated in the first round

4.3.2 Delphi consensus methodology

The overall consensus for the questionnaire was excellent, with a Cronbach’s alpha of 0.92.

Internal consensus was reached for each of the four sections of the questionnaire, namely: 1)

desired candidate attributes, 2) open surgical skills, 3) virtual reality (VR) simulation skills and

4) laparoscopic box training skills, with a Cronbach’s alpha of 0.87, 0.96, 0.92 and 0.80

respectively.

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92

Table 12: General Surgery program director's responses to clinical knowledge, decision-making and technical skill during selection

and at the time of graduation

During selection At the time of graduation

Does your program assess the following areas during selection? What percent of trainees do not reach competency in the

following three areas by the time of graduation?

Yes No If yes, how? 0-1% 2-4% 5-10% 11-15% 16-20%

Clinical knowledge 6 8 Transcripts, reference letters, curriculum vitae, interview

clinical scenarios 5 7 2 0 0

Decision making 10 4 Interview scenarios, references 4 1 9 0 1

Technical skill 2 12 Technical skills station, reference letters 3 2 6 4 0

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93

Table 13: Desired candidate attributes for selection into General Surgery

Attributes Cronbach's alpha = 0.87 Median (IQR) Consensus

Work ethic 5 (5,5) positive

Passion for General Surgery 5 (5,5) positive

Professionalism 5 (4,5) positive

Ability to work in a team 5 (4,5) positive

Sound judgment 5 (4,5) positive

Ability to make decisions 5 (4,5) positive

Assimilates information to formulate an opinion 5 (4,5) positive

Independence 4 (4,5) positive

Ability to multitask 4 (4,5) positive

Technical skill 4 (4,5) positive

Ability to accept criticism 4 (4,5) positive

Ability to think quick on his/her feet 4 (4,5) positive

Collaborative skills 4 (4,5) positive

Cool under pressure 4 (4,5) positive

Humility to learn 4 (4,5) positive

Communication 4 (4,5) positive

Confidence 4 (4,4) positive

Trainability 4 (3,4) neutral

Leadership 4 (3,4) neutral

IQR: interquartile range

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94

Table 14: Appropriate simulated surgical skills for selection into General Surgery

Open Skills Median (IQR) Consensus

Cronbach's alpha = 0.96

*One handed ties 4 (4,5) Positive

*Interrupted subcuticular suturing 4 (4,4) Positive

*Running subcuticular suturing 4 (4,4) Positive

Horizontal mattress 4 (4,4) Neutral

Vertical mattress 4 (4,4) Neutral

Nevus removal 4 (4,4) Neutral

Simple interrupted suture 4 (3,5) Neutral

Two handed tie 4 (3,4) Neutral

Hand sewn bowel anastomosis 4 (2,5) Neutral

Chest tube insertion 3 (3,5) Neutral

Virtual Reality Simulation Skills

Cronbach's alpha = 0.92

*Coordination 4 (4,4) Positive

*Grasping 4 (4,4) Positive

*Cutting 4 (4,4) Positive

Camera navigation 4 (3,4) Neutral

Instrument navigation 4 (3,4) Neutral

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95

Clip applying 4 (3,4) Neutral

Lifting and grasping 4 (3,4) Neutral

Bowel handling 4 (3,4) Neutral

Precision Task 4 (3,4) Neutral

Hand eye coordination 4 (3,4) Neutral

Fine dissection 4 (2,4) Neutral

Catheter insertion 4 (2,4) Neutral

Colonoscopy 4 (2,4) Neutral

Seal and cut 3 (2,4) Neutral

Gastroscopy 3 (2,4) Neutral

Laparoscopic Box Trainer Skills

Crobach's alpha = 0.80

Peg transfer 3 (3,4) Neutral

Laparoscopic circle cut 3 (3,4) Neutral

Extracorporeal Knot tying 3 (2,4) Neutral

Endoloop placement 3 (3,4) Neutral

Intracorporeal knot tying 4 (2,4) Neutral

Camera navigation 4 (3,4) Neutral

Running intracorporeal suture 4 (2,4) Neutral

Cholecystectomy on porcine bowel model 4 (2,4) Neutral

* inclusion into selection of technical skill; IQR: interquartile range

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Si

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included in

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and assimilat

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ted, 3 of eac

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llenging and

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nducted. The

ncy. Furtherm

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nee screening

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kill (5-15%)

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on to formula

met the criteri

riteria for inc

us suture and

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d important r

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jority of PDs

the complet

rocess. In ord

technical ski

e results sugg

more, consen

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ture) as well

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reaching com

by completi

are reported

tion of this d

cation into re

nce by retain

lusion into th

ignifying gre

bility to work

ate an opinio

ia for inclusi

clusion into

d coordinatio

responsibility

sists of a stru

assessment o

s reported th

ion of surgic

der to establ

ills that are a

gest that a nu

nsus was rea

e included ba

l as basic lap

ion processe

mpetence in

ion of surgic

to not reach

domain with

esidency trai

ning knowled

he selection

eatest level o

k in a team,

on. Technica

ion (Table 1

selection, na

on, grasping

y that lacks

uctured revie

f incoming t

hat 10-15% o

cal training.

ish a collect

appropriate f

umber of dif

ached concer

asic open tas

paroscopic sk

es may expla

clinical know

cal training,

competency

hin the existin

ining, candid

dge in order

96

of

sound

al ability,

3). Of

amely

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of

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kills

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to score

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97

in the top tier of students on written exams at the undergraduate level, as well as on The Medical College

Admission Test (MCAT), which has been reported to predict training examination scores ("Admission

requirements for Medical School at the Univeristy of Toronto," 2015; "Admission requirements

University of British Columbia ", 2015; "Medical School Admission Requirement Dalhousie ", 2015;

Ronai, Golmon, Shanks, Schafer, & Brunner, 1984). Furthermore, all candidates will have successfully

completed 2-3 years of medical school, and thus will have demonstrated their academic potential in terms

of learning and retaining clinical knowledge. However, the same screening processes are not available to

assess decision-making and technical skill. In the current system, both of these domains have a more

prominent focus in residency as compared to medical school, and therefore it is understandable that

potential deficits are not uncovered until after admission. However, PDs report that fewer students have

difficulty with decision-making as compared to technical skill. Perhaps this is also a result of the

screening process currently in place, as decision-making is already incorporated in the interview

component of the selection process at a majority (10 of 14) of institutions. Furthermore the interview

score has been reported as a independent predictor of successfully completing GS training in a single

study (Alterman, Jones, Heidel, Daley, & Goldman, 2011). In contrast, only 2 of 14 programs assess

technical skill during selection. As a result, many trainees enter surgical programs with minimal or no

screening in this domain. Given the notable proportion of trainees who PDs believed to have difficulty

reaching competence, and that technical skill is an intrinsic part of surgical practice, it may be worth

considering the incorporation of technical skill testing into selection.

A large number of candidate attributes were thought to be necessary for success in GS, however the

current selection system poorly differentiates these qualities. In this study, 16 of 18 attributes listed by

the PDs during the first round of the Delphi gained positive consensus during the second round.

Currently, these attributes e.g. work ethic and professionalism, are evaluated at the time of interview with

a subjective opinion rather than an objective measure. In an attempt to measure this qualitative area

objectively, Bell et al. had 535 candidates across the Unites States complete the TriMetrix Personal

Talent Report questionnaire: a questionnaire designed to assess behavioral motivators and student

attributes. The authors then compared the candidate behavioral profiles’ to the final ranks lists at different

institutions and found that individuals with diverse attributes can be similarly attractive candidates for

surgical training (R. M. Bell, Fann, Morrison, & Lisk, 2011; Richard M. Bell, Fann, Morrison, & Lisk,

2012). Therefore, it seems that the current interview system is not able to separate candidates with

specific attributes, but instead selects for a large range of different qualities. This may be partly due to

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98

the subjective assessment method used in the current selection system to evaluate these qualities, coupled

with the lack of empirical predictive evidence to inform which of these qualities actually increase the

likelihood of success during residency training. Therefore to begin clarifying this somewhat vague area

of selection, gaining expert consensus on the desired candidates attributes is an important first step.

Further research is required to objectively assess these qualities and narrow the list with long- term

supportive evidence.

Consensus was also gained on the technical skills that may be most appropriate for incorporation into the

selection process, however, controversy remains as to how technical aptitude is best assessed in candidate

trainees. To date, most studies have focused on the use of surrogate markers such as tests of dexterity and

visual spatial ability to predict technical skill performance, based on the belief that these markers

represent the building blocks required to excel in technical tasks ("Lafayette Instrument evaluation

Dexterity Tests," 2015; D. Stefanidis, Korndorffer Jr, et al., 2006). However, the results of studies to date

have been disappointing. Although most surgeons would agree that high dexterity is of benefit in the

operating room, scoring well on these tests has not correlated with technical performance (Hoffer & Hsu,

1990; Marlies P. Schijven et al., 2004; Schueneman et al., 1985; Schueneman et al., 1984; D. Stefanidis,

Korndorffer Jr, et al., 2006). Visual spatial ability has also been widely investigated in GS, especially

since the advancements of in laparoscopic and endoscopic techniques. However, in both simulated

laparoscopic and endoscopic tasks, the results are inconsistent (Ekstrom et al., 1976; A. G. Gallagher et

al., 2003) (L. Enochsson et al., 2006; A. G. Gallagher et al., 2003; Groenier et al., 2014; E. Matt Ritter et

al., 2006; D. Stefanidis, Korndorffer Jr, et al., 2006). Therefore, although measuring aptitude through

surrogate tests seemed to be a logical approach, it appears that technical performance is more complex

than these tests are able to measure. Therefore, altering the approach to assess technical aptitude by

incorporating simulation tasks that are directly transferable to the operating room is a worthwhile

endeavor.

Assessing performance on simulated surgical tasks has been reported to differentiate trainees’ surgical

aptitude. Grantcharov et al. plotted the individual learning curves of trainees performing basic VR

simulator tasks, and noted that 8.1% of trainees lagged behind their peers and did not show any skill

improvement (Grantcharov & Funch-Jensen, 2009). Similarly, Schijven et al. reported that 20% of

residents did not reach proficiency on the laparoscopic clip and cut task after 30 trials (M. P. Schijven &

Jakimowicz, 2004). These numbers are consistent with PD reports of 10-15% trainees having difficulty-

reaching competency by the end of residency training. However, the evidence is limited to whether

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laparoscopic

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potentially b

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am at the Ma

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ned in this s

dy. First, PD

programs co

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ieve that our

on into GS. S

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ents are gene

present study

be used to eli

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ifficulty reac

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mulated sim

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ontributed to

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r results rema

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agreement. T

f assessment

erally relucta

dy, PDs may

iminate train

rtheless, the

s in candidate

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of upmost im

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Rochester, M

ked to perfo

from a facul

arlson et al.,

mple interrupt

performance

t from a sim

d be consider

e programs d

o the first rou

to a moderat

ntinue to pro

), which is lo

ain valuable

rge majority

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is predictive

ant to expres

be reluctant

nees from en

establishme

es for GS tra

dictive value

mportance. A

etence in tec

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Minnesota) su

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2010). Long

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ower than th

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chnical skill

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100

completion of surgical training, assessment of this domain is rarely incorporated as part of the selection

process. Consensus among PDs suggests that a number of both open (one-handed surgical tie, interrupted

and running subcuticular sutures) and laparoscopic (coordination, grasping and cutting) skills are

appropriate for inclusion. However, further assessment of whether these tasks are predictive of in-training

performance is required before they can be recommended as a robust selection metric.

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poreal knot t

ue, k-means

Statistical an

entiate poor

articipants) r

ciency for all

iciency four

%). For lapa

onferred

e advantage

101

ert in

nce,

mited.

among

aluate

asks of

g

over a

tie (IKT),

alysis

reached

l open

of five

aroscopic

across

Page 118: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

al

ac

an

C

ra

de

us

tie

5

A

w

20

co

su

20

th

ac

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as

pe

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ll repetitions

cross all the

nd lacked ev

Conclusion: W

ange of surgi

emonstrating

se of laparos

er performer

Back.2

A common pa

with continue

008; Gladwe

ontests this b

ubset of stud

003; Grantch

hat 5% - 17%

chieving com

ensen, 2009;

echnical com

s surgical jud

erformers (G

with diligent p

However, stud

echnical skill

& Funch-Jens

or a successf

nd surgical t

he selection

s. In contrast

skill types a

vidence of pr

Whilst most

ical tasks, lo

g highly vari

scopic techn

rs may benef

kground

aradigm in s

ed practice an

ell, 2008 ) H

belief and su

dents unable

harov & Fun

% of trainees

mpetence wi

M. P. Schij

mponents of t

dgment and

Grantcharov

practice, ulti

dies have als

ls and fail to

sen, 2009; M

ful surgical c

raining prog

process for

t, the majorit

and complex

rogression to

students wi

ow performin

iable perform

iques in surg

fit both stud

urgical educ

nd adequate

However, em

upports the n

to reach com

nch-Jensen, 2

have an inn

th minimal p

ven & Jakim

the operation

non-technic

& Funch-Jen

imately reac

so identified

o reach comp

M. P. Schijve

career, identi

grams.

surgical trai

ty of modera

ities studied

owards a plat

ll reach prof

ng trainees fa

mance score

gical practice

ents and the

cation is that

mentorship.

erging evide

notion that tra

mpetence (A

2009; M. P.

nate technica

practice or e

mowicz, 200

n, allowing t

al performan

nsen, 2009;

ching a level

d a smaller su

petence even

en & Jakimow

ifying these

inees in Nort

ate or low pe

d. Low perfor

teau phase.

ficiency with

failed to reac

s across the

e, screening

ir training pr

t all surgical

.(K.A. Erics

ence from th

ainees acqui

Alvand, Aupl

Schijven &

al ability that

ffort (top/hig

4). These stu

them to focu

nce. In contr

M. P. Schijv

of technical

ubgroup of t

n with contin

wicz, 2004)

individuals

th America d

erformers rem

rmers’ learn

h continued p

ch proficienc

entire learni

potential ca

rograms.

trainees wil

son, Krampe

he minimally

ire technical

lish, Khan, G

Jakimowicz

t allows them

gh performe

udents quick

us their atten

rast, most tra

ven & Jakim

l proficiency

trainees (8-2

nued practice

Given that t

early may b

does not rou

mained in th

ning curves w

practice and

cy with lapar

ing curve. G

andidates to

ll reach techn

e, & Tesch-R

y invasive sim

l skills at var

Gill, & Rees,

z, 2004). Rec

m to rapidly

ers) (Grantch

kly and effec

ntion on othe

ainees (63-7

mowicz, 2004

y that is acce

20%) who str

e (low perfor

technical ski

enefit both p

utinely includ

hese categori

were widely

d mentorship

roscopic task

Given the incr

identify the

nical compe

Römer, 1993

mulation lite

riable rates, w

, 2011; Cush

cent studies

acquire skil

harov & Fun

ctively learn

er competenc

0%) are mod

4). They imp

eptable and s

ruggle to lea

rmers).(Gran

ill is a requir

prospective t

de screening

102

ies

variable,

p across a

ks,

reasing

lowest

etence

3; G.,

erature

with a

hchieri,

suggest

lls,

nch-

the

cies such

derate

prove

safe.

arn

ntcharov

rement

trainees

g for

Page 119: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

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id

cl

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fo

(G

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pr

pr

pe

Th

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pa

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echnical abil

dentified at th

linical enviro

tratifying tra

or basic lapa

Grantcharov

ealistically m

n residency,

nknown whe

ifficulty, or w

urthermore,

Given that ma

ractice, an un

rogression (f

erforming in

hus, the ove

ainees acros

atterns amon

ackground c

whether traine

basic and adv

onsistently f

urves that se

Meth.3

.3.1 Pa

Medical stude

articipate in

eemed eligib

ity. This ma

his early stag

onment (Lou

ainees into hi

roscopic sur

& Funch-Je

model the div

surgical trai

ether trainee

whether they

there are few

any surgical

nderstanding

from basic to

ndividuals w

rall purpose

ss a range of

ng trainees fo

haracteristic

ees stay with

vanced) and

fail to reach p

eparate them

hods

articipants

ents complet

the study. A

ble for inclus

ay be becaus

ge of trainin

uridas, Szasz

igh and low

rgical tasks,

ensen, 2009;

versity of the

nees general

s, classified

y are able to

w reported d

disciplines c

g of the learn

o more adva

ill remain di

of this study

f surgical task

for both basic

cs or experie

hin their lear

type (minim

proficiency o

from their p

ting their firs

All students w

sion. To ens

se of controv

ng, and uncer

z, de Montbr

performers h

or by assess

M. P. Schijv

e surgical tra

lly progress

as poor perf

overcome th

data concerni

combine min

ning progres

anced) is nee

isadvantaged

y was to asse

ks. Specifica

c and more a

nces explain

rning curve p

mally invasiv

on simulated

peers.

st or second

willing to co

sure that part

versy as to w

rtainty wheth

run, Harris, &

has been don

ing perform

ven & Jakim

aining enviro

from basic t

formers on b

hese shortco

ing variabili

nimally inva

ssion for both

eded before i

d throughout

ess the diffe

ally, the goa

advanced lap

ned potential

patterns acro

ve and open)

d tasks, and d

year at the U

ommit to one

ticipants we

whether low p

her they are

& Grantchar

ne by assess

mance on a sin

mowicz, 2004

onment.

to more adva

basic tasks, s

omings given

ity in perform

asive and op

th types of sk

it can be dete

t their trainin

erences in tec

als were to: 1

paroscopic a

l differences

oss simulated

); and 4) iden

determine th

University o

e month of te

ere at the beg

performers c

truly disadv

rov, 206). To

sing individu

ngle simulat

4). However

anced techni

struggle acro

n diverse tec

mance for op

en technique

kills over the

ermined whe

ng.

chnical perfo

1) quantify d

and open skil

s in performa

d tasks of va

ntify the sub

he features o

of Toronto w

echnical skil

ginning of th

can be accur

vantaged in t

o date, attem

ual learning c

ted operation

r, these may

ical skills. It

oss tasks of v

chnical exper

pen surgical

es in their cl

e continuum

ether initiall

ormance by

different lear

lls; 2) assess

ance; 3) dete

arying difficu

bset of traine

of their learn

were eligible

lls training w

heir technica

103

rately

the

mpts at

curves

n

not

t is

variable

riences.

skills.

linical

m of skill

y low

novice

rning

s whether

ermine

ulty

ees who

ning

to

were

l skills

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104

learning curve, the following exclusion criteria were applied: 1) previous involvement in a dedicated

technical skills training program, or 2) participation in more than two suturing workshops offered during

the pre-clerkship medical school curriculum. Ethics review board approval was obtained through the

University of Toronto, and informed consent was obtained from each participant prior to the start of the

study.

5.3.2 Sample Size

An a priori sample size calculation was performed by modifying the equation commonly used for studies

that estimate the proportion of a population with specified precision for a binary outcome (Merril, 2015).

The primary outcome measure for this study was the proportion of participants demonstrating

improvement in technical skill following training. Consequently, participants could be found to be either

responders or non-responders for the primary outcome measure. The literature suggests that 8-20% of

surgical trainees are non-responders. Therefore, the proportion of non-responders in the overall

population (p) was assumed to be 15% for the purposes of the sample size calculation (Grantcharov &

Funch-Jensen, 2009; M. P. Schijven & Jakimowicz, 2004; Sir Alfred, 2003). To ensure a 95% likelihood

that the study sample included at least 4 non-responders (ie. assuming a sample size of n and precision of

d, that n(p – d) = 4), the desired precision was defined as d = p – 4/n. Using the equation for estimating

population proportions with a given precision n where n = sample size, z = 1.96 (for 95%

confidence interval), p = 0.15, and d = p-4/n, a desired sample size of 64 participants was calculated.

5.3.3 Demographic questionnaire

At the start of the study each participant completed a questionnaire assessing a range of demographic

characteristics and previous non-surgical experiences that may potentially be associated with technical

skill performance. Demographic characteristics included age, gender and handedness, whereas non-

surgical experiences included interest in surgery, self-perceived technical ability, and involvement in

music, sports and video games.

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5

5

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la

tim

ad

in

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re

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ta

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fi

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S.3.4.1

tudents com

aparoscopic s

mes per wee

dvanced skil

nstructional v

est, each stud

epetitions of

I.3.4.2

he student to

ecommendat

ifferences be

aught the ski

sing a task-s

D.3.4.3

ach repetitio

asks, the insi

ortable video

eld. For the

he field of vi

epetition num

raining cur

Structure o

mpleted a one

skills. The p

ek. The first

lls. At the be

video for eac

dent then com

f each task w

Instructors

o instructor r

tions in the l

etween traine

lls over the s

specific chec

Data collec

on was video

de view of t

o recording d

purposes of

ew of the ca

mber in a de-

rriculum

of skills cu

e month distr

program com

two weeks w

eginning of e

ch task, and

mpleted four

were perform

s and feedb

ratio was ma

iterature.(Du

ers on the stu

study period

cklist.

ction

o recorded to

he training b

device was u

f assessment

amera to allo

-identified m

rriculum

ributed pract

mprised a mi

were dedicat

each two we

then comple

r more repet

ed, for a tota

back

aintained at 4

ubrowski &

udents’ tech

d, and instruc

o allow for su

box was capt

used to captu

and analysis

ow each reco

manner.

tice training

inimum of fo

ted to basic s

ek block, the

eted a baselin

titions of eac

al of 40 repe

4:1 for each

MacRae, 20

hnical perform

ctors gave st

ubsequent b

tured by the

ure only the

s, a paper co

orded attemp

program de

ourteen train

skills and the

e students fi

ne performa

ch task. At ea

etitions per ta

training ses

006) To mini

mance, only

tandardized f

linded asses

laparoscopi

students’ ha

ontaining a u

pt to be tied t

signed to tea

ning sessions

e last two w

rst watched

ance test. Fol

ach subsequ

ask.

sion consiste

imize the im

y three differ

feedback aft

ssment. For t

ic camera. F

ands and sim

unique code w

to an individ

ach both ope

s scheduled 2

weeks to more

a detailed

llowing the b

uent session,

ent with

mpact of the

rent instructo

ter each repe

the laparosco

or the open t

mulated opera

was placed w

dual participa

105

en and

2-3

e

baseline

seven

ors

etition

opic

tasks, a

ative

within

ant and

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he FLS manu

open LC wa

own the mid

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ical skills

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echnical Skil

cale exclude

he original O

g the advance

epetition was

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sed through

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as simulated

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m the ACS/A

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lls (mOSATS

ed the ‘use o

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s scored usin

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al of three ex

trained on th

liability, def

that calibrat

very two wee

ng period.

k, and the on

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ons and Perf

a Penrose d

sed as the adv

anced open t

Manual Skills

by fastening

elt. A 0-mono

APDS surgica

any square k

S) scale was

f assistance’

ssment tool,

k sessions, st

ng a mOSAT

study, to allo

xpert blinded

he mOSATS

fined as an in

tion was mai

eks. Excelle

ne-handed tie

undamentals

formance Gu

drain fastened

vanced lapar

task. The adv

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g a felt sheet

ofilament su

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knots as poss

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106

used as

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2014)

ro to an

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Page 123: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

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cores for the

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low (slower

odology, hig

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was not nec

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Ritter et al. w

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calculate the

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gher scores re

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ions and Per

o fill in any u

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scores were

l. for setting

(E. M. Ritter

advanced tas

ment by a sin

mean and st

ean set as th

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t with the ot

seconds for t

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dology (Vass

or the open t

erformance t

007). Two ex

ecutive time

d rater. The c

iation for eac

y score for e

mance for al

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2014). The v

ield against

ded rating in

with the goa

asis was plac

s for the lapa

s were define

cutoff for PT

y was defined

ther FLS task

the CC, and

2.1, and 93.8

siliou et al., 2

tasks. Conse

targets was u

xpert surgeo

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completion t

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each task (Ta

ll tasks.

ed methodolo

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videos were

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a random or

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aroscopic tas

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113.0 secon

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2006).

equently, the

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10

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108

Table 15: Proficiency scores for open tasks

One handed tie

mOSATS

Laparotomy closure

mOSATS

Repetition Expert 1 Expert 2 Expert 1 Expert 2

1 22 21 30 25

2 23 24 26 24

3 25 23 25 29

4 24 22 29 27

5 21 25 26 24

Mean 23 23 27.2 25.8

SD 1.6 1.6 2.2 2.2

Group mean 23 26.5

Group SD 1.5 2.2

Proficiency score 20.0 22.2

SD: standard deviation; mOSATS:modified objective structure of

technical skills; Proficiency score = Group mean - 2(SD)

5.3.5 Data analysis and statistical methods

A data mining technique, k-means clustering, was used to stratify the trainees into four categories. Data

mining is a computational process of finding patterns in various types of data using a combination of

methods from artificial intelligence and machine learning (Alpaydin, 2014). K-means clustering is a

technique used to partition n observations into k clusters, where observations within a cluster display

greater similarity to one another than to those in other clusters (Tan, Steinbach, & Kumar, 2006). The

surgical education literature has previously separated trainees into four performance categories therefore

k=4, was selected for this analysis (Grantcharov & Funch-Jensen, 2009; M. P. Schijven & Jakimowicz,

2004). While the number of clusters with this analytic approach is defined a priori, the number of

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cl

cl

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re

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pe

ch

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th

(t

ei

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5

5

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du

m

bservations i

luster groupi

lusters, with

mean. This an

rocess befor

were conduct

Vienna Austr

o ensure the

earning curve

eached, or su

Chi-squared a

erformance c

haracteristics

Consistency o

he performan

o minimize

ight repetitio

All statistical

Armonk, NY)

Resu.4

.4.1 Pa

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ue to schedu

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in each clust

ings are dete

the goal of a

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ed using R s

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e identified c

e was graphe

urpassed the

analysis was

clusters betw

s had a signi

of each parti

nce scores fo

skewing due

ons (highest

analyses we

).

ults

articipants

edical studen

uling conflict

females.

ter varies an

ermined thro

achieving th

tirely objecti

placement in

statistical sof

clusters accur

ed on a tradi

set proficien

then used to

ween tasks, a

ificant relatio

cipant’s perf

or their last 1

e to outlier v

score minus

ere performe

nts completed

ts. The mean

d is determin

ough a proce

he lowest sum

ive, and is ab

nto the appro

ftware (versi

rately repres

itional x and

ncy threshol

o determine

and to assess

onship with

formance at

10 repetition

values), and c

s lowest scor

ed using SPS

d the study.

n age of the p

ned by the re

ss of initial a

m of squares

ble to accoun

opriate clust

ion 3.2.2; R

sented techn

d y-axis to ev

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whether the

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technical sk

the conclusi

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Learning curves for cluster 1 (22 to 35% of participants) were characterized by rapid achievement of

proficiency for all open and laparoscopic tasks, which was then reliably maintained on subsequent

repetitions. Learning curves for participants in cluster 2 (32 to 42% of participants) were characterized by

quick learning, eventually meeting the performance of their cluster 1 peers and reaching proficiency for

all tasks over the training period. Cluster 3 learning curves (25 to 37% of participants) were characterized

by slower learning, with proficiency attained for the open tasks but not for all the laparoscopic tasks.

Specifically, cluster 3 performance remained just below the proficiency threshold for both PT and IKT

tasks. Cluster 4 learning curves (8 to 15% of participants) were characterized by failure to reach

proficiency in four of five tasks, including all laparoscopic tasks (Table 16).

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Table 16: Comparing clusters 1-4: start points, end points and repetitions to proficiency

Simulated surgical task Cluster 1 Cluster 2 Cluster 3 Cluster 4

Comparing clusters 1-4

Kruskal-Wallis H Test

p-value The clusters that are significantly

different

Laparoscopic tasks

Peg transfer Number of students 23 21 16 5

Start point score (points) mean (range)

75 (60-89) 46 (17-65) 29 (27-56) 17 (0-40) 49.12 *<0.001 all 4 clusters

End point score (points) mean (range)

108 (103-113) 105 (99-109) 95 (85-103) 90 (83-96) 47.78 *<0.001 all 4 clusters

Proficiency reached repetition (range)

16 (8-26) 26 (20-33) - -

Circle cut

Number of students 15 25 19 6 Start point score (points) mean (range)

54 (34-73) 43 (23-57) 22 (0-36) 25 (17-39) 44.09 *<0.001 cluster 1 and 2 cluster 2 and 3

End point score (points) mean (range)

91 (85-97) 88 (72-107) 82 (69-87) 71 (57-82) 33.82 *<0.001 all 4 clusters

Proficiency reached repetition (range)

5 (3-6) 8 (4-11) 16 (8-24) -

Intracorporeal knot tie

Number of students 14 27 14 10 Start point score (points) mean (range) 43 (11-70) 25 (1-60) 13 (0-36) 1 (0-2) 39.68

*<0.001 all 4 clusters

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End point score (points) mean (range)

95 (87-102) 91 (77-100) 89 (64-100) 78 (55-93) 17.28 *0.001 all 4 clusters

Proficiency reached repetition (range)

29 (17-35) 35 (25-40) - -

Open technical skills

One handed tie (mOSATS)

Number of students 20 23 16 6 Start point score (points) mean (range) 9 (6-14) 8 (7-12) 7 (7-8) 7 (7-9) 7.09 0.069

none

End point score (points) mean (range)

23 (19-25) 22 (19-24) 20 (18-24) 17 (14-20) 28.56 *<0.001 cluster 2 and 3 clusters 3 and 4

Proficiency reached repetition (range)

17 (13-28) 24 (21-30) 34 (28-38) -

Laparotomy closure (mOSATS)

Number of students 14 26 20 5 Start point score (points) mean (range) 13 (9-21) 12 (9-17) 12 (8-17) 11 (8-14) 1.96 0.581

none

End point score (points) mean (range)

27 (21-30) 24 (19-29) 24 (18-29) 23 (20-27) 9.00 *0.029 cluster 1 and 2

Proficiency reached repetition (range)

16 (3-29) 27 (13-39) 26 (15-38) 36 (34-38)

mOSATS: modified Objective Structure of Technical Skills; *significance p<0.05; start point - average of first 3 repetitions; end point - average of last 3 repetitions.

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Innate technical ability seemed to contribute significantly to laparoscopic performance, but not to

open skills. In all three laparoscopic tasks, students in higher clusters had significantly better

mean performance at the start of the learning curve as compared to peers in the next lower group

(mean initial performance for clusters 1 through 4 on the PT task of 75, 46, 29 and 4 points

respectively, p<0.001; on the CC task of 54, 43, 22 and 25 points respectively, p<0.001; on the

IKT task of 43, 25, 13 and 1 points respectively, p<0.001). The only exceptions were clusters 3

and 4 for the CC task, which were characterized by similar performance (Table 16). For the

open tasks, starting performance scores were similar across all clusters (mean initial performance

for clusters 1 through 4 on the HT task of 9, 8, 7 and 7 points respectively, p=0.069; on the LC

task of 13, 12, 12 and 11 points respectively, p=0.581).

The innate performance advantage for laparoscopic tasks seen in higher performing clusters

persisted over the duration of the study. The associated mean laparoscopic learning curves

remained distinctly higher in comparison to those of lower performing clusters throughout the

40 repetitions for all three tasks (Figure 11). This resulted in significantly different mean training

endpoints between clusters (mean final performance for clusters 1 through 4 on PT task of 108,

105, 95 and 90 points respectively, p<0.001; on CC task of: 91, 88, 82 and 71 points

respectively, p<0.001; on IKT task of 95, 91, 89 and 78 points respectively, p=0.001) (Table 16).

5.4.3 Associations between background characteristics and performance

clusters

Only two significant associations were identified between participant demographic

characteristics, non-surgical experiences, and performance clusters across all five technical tasks

(Table 17). Both significant associations were noted with respect to the peg transfer. Specifically,

males were more likely to be in higher performance clusters compared to females (cluster 1 had

65% males and 35% females as compared to 45% vs. 55% overall, p=0.039), and students who

played video games were more likely to be in a higher performance cluster compared to students

who did not play video games (cluster 1 had 73% video gamers and 27% non-gamers as

compared to 52% and 48% overall, p=0.021).

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Table 17: Demographics and non-surgical experiences and their association with performance clusters

No. of participants

n=65

Medical school yearOne 49 (75)Two 16 (25)

Sex

Male 29 (45)Female 36 (55)

Handedness

Right 59 (92)Left 5 (8)

Yes 44 (69)No 20 (31)Missing 1

Yes 46 (71)No 19 (29)

Work well with my handsStrongly Agree 45 (70)Neutral 19 (30)Missing 1

Video Games

Yes 33 (52)No 31 (48)

Surgery primary interestYes 25 (38)No 40 (62)

Chi‐square Test was used throughout the table; *sign

Played a musical instrument

Involvement in team sports

Number of participants (percent) stratified by demographic or non‐surgical experiences

p‐value p‐value p‐value p‐value p‐value

1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4

17 (26) 17 (26) 13 (20) 2 (3) 11 (17) 19 (29) 15 (23) 4 (6) 9 (14) 23 (35) 9 (14) 8 (12) 13 (20) 17 (26) 15 (23) 4 (6) 12 (18) 17 (26) 15 (23) 5 (8)6 (9) 4 (6) 3 (5) 3 (5) 4 (6) 6 (9) 4 (6) 2 (3) 5 (8) 4 (6) 5 (8) 2 (3) 7 (11) 6 (9) 1 (2) 2 (3) 2 (3) 9 (14) 5 (8) 0 (0)

15 (23) 9 (14) 3 (5) 2 (3) 7 (11) 14 (22) 7 (11) 1 (2) 7 (11) 11 (17) 8 (12) 3 (5) 5 (8) 11 (17) 9 (14) 4 (6) 4 (6) 12 (18) 11 (17) 2 (3)8 (12) 12 (18) 13 (20) 3 (5) 8 (12) 11 (17) 12 (18) 5 (8) 7 (11) 16 (25) 6 (9) 7 (11) 15 (23) 12 (18) 7 (11) 2 (3) 10 (15) 14 (22) 9 (14) 3 (5)

20 (31) 20 (31) 16 (25) 4 (6) 14 (22) 23 (35) 17 (26) 6 (9) 12 (18) 26 (40) 13 (20) 9 (14) 18 (28) 21 (32) 16 (25) 5 (8) 14 (22) 23 (35) 19 (29) 4 (6)3 (5) 1 (2) 0 (0) 1 (2) 1 (2) 2 (3) 2 (3) 0 (0) 2 (3) 1 (2) 1 (2) 1 (2) 2 (3) 2 (3) 0 (0) 1 (2) 0 (0) 3 (5) 1 (2) 1 (2)

16 (25) 13 (20) 14 (22) 1 (2) 12 (19) 14 (22) 15 (23) 3 (5) 9 (14) 18 (28) 10 (16) 7 (11) 14 (22) 17 (27) 8 (13) 5 (8) 8 (13) 17 (27) 15 (23) 4 (6)6 (9) 8 (13) 2 (3) 4 (6) 3 (5) 10 (16) 4 (6) 3 (5) 5 (8) 9 (14) 3 (5) 3 (5) 6 (9) 5 (8) 8 (13) 1 (2) 6 (9) 8 (13) 5 (8) 1 (2)

16 (25) 15 (23) 11 (17) 4 (6) 11 (17) 17 (26) 13 (20) 5 (8) 9 (14) 17 (26) 13 (20) 7 (11) 11 (17) 20 (31) 11 (17) 4 (6) 9 (14) 20 (31) 16 (25) 1 (2)7 (11) 6 (9) 5 (8) 1 (2) 4 (6) 8 (12) 6 (9) 1 (2) 5 (8) 10 (15) 1 (2) 3 (5) 9 (14) 3 (5) 5 (8) 2 (3) 5 (8) 6 (9) 4 (6) 4 (6)

18 (28) 13 (20) 13 (20) 1 (2) 13 (20) 15 (23) 14 (22) 3 (5) 11 (17) 18 (28) 9 (14) 7 (11) 14 (22) 18 (28) 8 (13) 5 (8) 10 (16) 16 (25) 17 (27) 2 (3)5 (8) 7 (11) 3 (5) 4 (6) 1 (2) 10 (16) 5 (8) 3 (5) 2 (3) 9 (14) 5 (8) 3 (5) 5 (8) 5 (8) 8 (13) 1 (2) 3 (5) 10 (16) 3 (5) 3 (5)

16 (25) 8 (12) 5 (8) 4 (6) 9 (14) 12 (18) 10 (15) 3 (5) 6 (9) 14 (22) 8 (12) 5 (8) 9 (14) 11 (17) 7 (11) 6 (9) 4 (6) 11 (17) 14 (22) 4 (6)6 (9) 13 (20) 11 (17) 1 (2) 6 (9) 12 (18) 10 (15) 3 (5) 8 (12) 12 (18) 6 (9) 5 (8) 11 (17) 12 (18) 8 (12) 0 (0) 10 (15) 14 (22) 6 (9) 1 (2)

9 (14) 8 (12) 7 (11) 1 (2) 6 (9) 10 (15) 8 (12) 1 (2) 5 (8) 8 (12) 7 (11) 5 (8) 7 (11) 9 (14) 5 (8) 4 (6) 6 (9) 9 (14) 9 (14) 1 (2)14 (22) 13 (20) 9 (14) 4 (6) 9 (14) 15 (23) 11 (17) 5 (8) 9 (14) 19 (29) 7 (11) 5 (8) 13 (20) 14 (22) 11 (17) 2 (3) 8 (12) 17 (26) 11 (17) 4 (6)

nificant p‐value <0.05

0.822 0.717 0.516 0.480 0.715

0.047 0.113 0.639 0.217 0.139

0.021* 0.899 0.882 0.100 0.049

0.050

0.033 0.260 0.897 0.265 0.672

0.968 0.885 0.223 0.145

0.039* 0.296 0.556 0.153 0.494

0.310 0.864 0.672 0.533 0.395

0.279

Performance cluster Performance cluster Performance cluster Performance cluster Performance cluster

0.256 0.937 0.338 0.227

Laparoscopic Peg Transfer Task Laparoscopic Circle Cut Taks Laparoscopic Knot Tie Task Open One Handed Tie Task Open Laparotomy Closure Task

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5.4.4 Individual performance differences between tasks

A significant association was seen between individuals’ cluster assignments across tasks (basic

vs advanced) within a given skill type (laparoscopic vs open), indicating that individuals were

likely to remain within the same or similar performance cluster across multiple skills of the same

type. However, this phenomenon was not demonstrated across the two skill types (e.g. low

performers in laparoscopic tasks were not necessarily low performers in open tasks) (Table 18).

Within a given skill type, individuals who were top performers (cluster 1) in the basic tasks

stayed in the upper tier (either cluster 1 or 2) for all basic and advanced tasks. Cluster 2

individuals maintained their grouping or moved up or down a cluster depending on the task.

However, poor performers, stayed in the lower tier (either cluster 3 or 4) for all tasks. Only one

individual did not follow this trend, and jumped from one extreme to the other (cluster 4 to

cluster 1) between tasks (Table 18).

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Table 18: Consistency of performance clusters for laparoscopic and open technical skill

Participants that stayed within:

Clusters 1-2

Cluster 2-3

Clusters 3-4

p-value

Consistency of task clusters 1 - 4, between tasks

Laparoscopic peg transfer Laparoscopic circle cut 95% 66% 76% <0.001

Laparoscopic knot tie 71% 66% 38% 0.013

Laparoscopic circle cut Laparoscopic knot tie 63% 77% 42% 0.084

Open hand tie

Open Laparotomy closure

73% 74% 44% 0.008

Consistency of task clusters 1 - 4, across surgical techniques

Open skills Laparoscopic skills

Hand ties Peg transfer 60% 65% 19% 0.411 Circle cut 18% 64% 28% 0.694 Knot tie 62% 59% 24% 0.312

Laparotomy closure Peg transfer 61% 73% 38% 0.125 Circle cut 65% 70% 44% 0.622 Knot tie 63% 68% 42% 0.194

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5.4.5 Concerning learning curve features for individuals unable to reach

proficiency in laparoscopic tasks

For laparoscopic tasks, cluster 3 individuals characterized by slower learning did not reach

proficiency in two of three laparoscopic tasks, while cluster 4 individuals did not reach

proficiency in any of the laparoscopic tasks. When comparing the two groups, the biggest

difference was performance stability between repetitions. Cluster 3 hovered below the

proficiency threshold but demonstrated an encouraging trend towards a plateau phase, indicative

of more stable performance (mean range in scores across last 10 repetitions PT=10.36; CC= 8.9

and IKT 13.8). In contrast, cluster 4 participants demonstrated highly variable scores between

repetitions, with no convincing trend towards a true plateau phase, indicative of more unstable

performance (mean range in scores of last 10 repetitions: PT=13.2; CC= 20.0 and IKT=23.77).

The wide variability in cluster 4 participants’ performance is a noteworthy and concerning

feature of their learning curves that may translate into a negative impact in the real operating

room. Figure 13 represents the IKT learning curve for representative individuals from clusters 3

and 4. In the last 10 repetitions per knot, the cluster 3 individual’s normalized score was between

103 and 154 points (equivalent to a performance time of 1.43 to 2.34 minutes), whereas the

cluster 4 individual scored between 174 and 456 points (performance time of 2.54 to 7.36

minutes). The performance times seen in cluster 4 (frequently >4 minutes per knot) are likely to

be disruptive to the progression and flow of a laparoscopic operation. Therefore, although

individuals in both clusters do not stabilize above the proficiency threshold, cluster 4’s

inconsistent non-proficient performance would likely be more problematic in the real operating

room.

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the laparoscopic tasks demonstrated weak innate ability with a sustained disadvantage

throughout their learning curves resulting in an inability to reach proficiency within the extensive

training window. Furthermore, laparoscopic low performers demonstrated marked

inconsistencies in their performance throughout the training period.

K-means clustering, which is a novel data mining technique within the surgical education

literature, but well established within the field of data science, was used in the present study

instead of previously described approaches that characterize individual learning curves such as

the learning curve – cumulative sum analysis (LC-CUSUM) or curve fitting (Biau, Williams,

Schlup, Nizard, & Porcher, 2008; M. P. Schijven & Jakimowicz, 2004). LC-CUSUM is

applicable to the analysis of dichotomous variables (Biau et al., 2008), and allows researchers to

identify trainees who reach proficiency with performance variability below a pre-defined

threshold. However, little additional information is gained to further characterize the

performance of trainees that do not reach proficiency. Curve fitting endeavors to address this

issue by classifying learners’ individual learning curves by fitting an exponential, linear,

logarithmic, or S curve to individual learners’ change in performance over time, allowing for

stratification based on similar curve types (M. P. Schijven & Jakimowicz, 2004). However,

because many trainees’ learning curves demonstrate considerable residual variability, the

discriminatory value of statistics used to quantify the goodness-of-fit of learning curves to

different curve types is poor (Feldman, Cao, Andalib, Fraser, & Fried, 2009; M. P. Schijven &

Jakimowicz, 2004). In contrast, k-means clustering allows the observations to be objectively

separated based on patterns within the data, rather than relying on force fitting of data to one of a

limited number of pre-defined mathematical curves. Furthermore, the analysis is not restricted to

a dichotomous interpretation (ie. did or did not meet proficiency), and detailed comparisons

between clusters can be performed to further quantify performance differences between the

groups.

Many surgeons acknowledge that some trainees have inherent talent and thus demonstrate quick

acquisition of technical skill (Anthony G. Gallagher et al., 2009). However, conceding that a

subset of trainees will likely never reach proficiency is contentious. Perhaps this controversy

exists because consistent inability to reach proficiency may only be true for a subset of skills (i.e.

laparoscopic and not open). On examining the learning curves of the different tasks, all students

reached proficiency for the advanced open task, albeit at different rates. In contrast, practice did

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not close the performance gap between clusters for the laparoscopic tasks even over 40

repetitions. The current study purposefully lengthened the training period beyond the 10 to 30

repetitions previously reported in the literature (A. Alvand, S. Auplish, T. Khan, et al., 2011;

Grantcharov & Funch-Jensen, 2009; M. P. Schijven & Jakimowicz, 2004), in an attempt to

determine whether more practice would allow low performers to catch up. Despite doing so, the

performance clusters remained disparate throughout the learning curve for laparoscopic tasks.

Students with low innate ability remained at a continued disadvantage throughout the 40

repetitions. Furthermore, the proportion of low performers did not change substantially when

compared to previously reported studies, despite the added practice. For basic tasks, Grantcharov

et al. reported 8.1% of trainees to be low performers, compared to 7.6% in the current study

(Grantcharov & Funch-Jensen, 2009). For more difficult tasks, Schijven et al. reported a 20%

rate of low performers on virtual reality laparoscopic cholecystectomy,(M. P. Schijven &

Jakimowicz, 2004) compared to 15.4% for intracorporeal suturing in the current study. These

findings provide further evidence that low performers persist across laparoscopic tasks. They

exhibit low innate ability, with a lasting effect as they continue to perform below the proficiency

threshold despite lengthening the practice window.

The possibility of screening for individuals who are low performers in technical skills prior to

entry into surgical training is controversial. The results of the present study suggest that

screening may be of limited benefit for surgical specialties with predominately open operations,

given that all participants were able to reach proficiency on at least one of these tasks. However,

in specialties where an increasing number of laparoscopic procedures are becoming the standard

of care (Soper, Stockmann, Dunnegan, & Ashley, 1992; Taguchi et al., 2016), screening for

performance on these technical skills may be beneficial. In the present study, the large majority

of low performers continued to struggle throughout the curriculum across a large number of

repetitions and multiple laparoscopic tasks. Furthermore, the inconsistency in performance

between repetitions in this subgroup was substantial, despite completing each repetition in a

controlled simulated environment where the setup, equipment and simulated task were constant.

It is reasonable to believe that this poor and inconsistent performance would be exacerbated in

the real operating room, where patient factors (e.g. body habitus, tissue integrity, patient

anatomy), technical setup (e.g. trocar placement, positioning and camera view), and trainee

feedback may vary substantially. Thus, although controversial, it may be reasonable to consider

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screening candidates entering surgical specialties with considerable laparoscopic procedure

volumes to identify those individuals who cluster into the lowest performance category. These

individuals are at high risk of ongoing variable performance below an acceptable level of

proficiency, which could have negative implications for both the training program and the

trainee.

Using surrogate markers instead of simulated tasks to screen for technical skill has also been

extensively investigated, but has proven to be largely unreliable (Louridas et al., 206). Currently

all students in North America, applying to surgical training, are required to submit a curriculum

vitae outlining their academic and non-academic achievements (Canadian Resident Matching

Service, 2014; NRMP, 2016). In the current study, very few of these background characteristics

demonstrated significant associations with either technical skill acquisition or the ability to reach

proficiency. Interestingly, students who reported that surgery was their first choice of future

career specialty had no added performance advantage as compared to their peers who expressed

a preference for non-surgical disciplines. Similarly, students who reported “working well with

their hands” had no advantage over their peers. This data adds to the already existing evidence

that self-perceived technical ability does not correlate with objective technical assessments

(Tangchitnob et al., 2011). Furthermore, it has been demonstrated that medical students

intending to pursue a surgical career have no greater innate motor dexterity when compared to

those with a preference for a non-surgical field (J.Y. Lee et al., 2012; Van Hove et al., 2008).

Consequently, surgical programs should not rely on student self-selection as a screening tool

(Panait et al., 2011). Of the other background data, playing video games was significantly

associated with technical skill (Schueneman et al., 1985; Van Hove et al., 2008). However, the

technical advantage associated with playing video games was lost after the basic laparoscopic PT

task, which is consistent with previous reports by Paschold et al.and Dimitriou et al. that

demonstrated that any advantage associated with video game playing was lost after a period of

practice (Dimitriou et al., 2009; Paschold et al., 2011). Therefore, although surrogate markers are

an attractive screening tool due to their feasibility in the current selection process, such markers

are not predictive of technical skill acquisition and thus should not be used in this manner.

We acknowledge several limitations to the present work. First, the study population consisted of

pre-clerkship medical students, not only medical students applying for surgical residency. This

population was chosen because within the Canadian medical system, only medical students in the

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pre-c

requi

could

as the

of un

been

result

previ

Cons

four c

the sk

surpa

Given

assist

profic

cut of

partic

motiv

believ

judgm

than

profic

as pre

5.6

Train

skills

to rea

subst

linical years

irement give

d be trained s

ey progresse

ndocumented

possible if s

ts are both u

iously descri

equently, su

clusters iden

kill acquired

ass the skill (

n that these

t in career ad

ciency cutof

ff scores fro

cipants to ea

vation encou

ved that the

ment is deter

stage of train

ciency as de

e-clinical me

Conclu

nees can be s

s. Laparoscop

ach proficien

tantially larg

s of study are

n the purpos

solely in the

ed along thei

d practice in

studying fina

useful and rel

ibed, candida

urgical progr

ntified in the

d and reflecte

(and subsequ

selection cur

dvise prior to

ff scores deri

m Ritter et a

asily determi

uraging conti

ability to ac

rmined prim

ning. This ap

termined by

edical studen

usion

separated int

pic skills are

ncy in these,

ger role in lap

e reliably at

ses of the pre

simulation l

ir learning cu

the operatin

al year medic

levant to me

ates for surg

rams are like

present stud

ed in the pro

uent plateaus

rricula have

o applying fo

ived from ex

al. were used

ne their prog

inued partici

quire techni

marily by the

pproach is su

y scores deriv

nts.

to performan

e more diffic

despite con

paroscopy as

the start of t

esent work. I

laboratory, c

urves withou

ng room. Suc

cal students.

edical studen

gical training

ely interview

dy. Furtherm

oficiency pla

s) of medica

the ability to

or residency

xpert perform

d because the

gress toward

ipation. The

cal skills in

opportunity

upported by

ved from exp

nce grouping

cult to learn

ntinued pract

s compared t

their technic

In addition,

capturing ea

ut the risk of

ch controlled

. Neverthele

nts applying

g do not self-

wing and acce

more, since 4

ateaus by the

al students en

o stratify tra

y positions. S

mance, rathe

ey are report

d proficiency

e proficiency

a controlled

to practice w

the finding

pert perform

gs based on t

than open sk

tice. Innate t

to open skill

cal skill learn

pre-clerkshi

ach repetition

f confoundin

d circumstan

ess, the autho

for surgical

-select based

epting traine

40 repetitions

e study partic

ntering the tr

ainees, early

Second, the

er than more

ted as time s

y, which pro

y scores wer

d environmen

with adequa

that most pa

mance levels,

their ability t

kills, with so

technical ab

ls, and this a

ning curves,

ip medical st

n of the study

ng as a conse

nces would n

ors believe th

training. As

d on technica

ees represent

s per task we

cipants woul

raining prog

implementa

study relied

junior traine

scores, allow

ved to be a s

re not lowere

nt devoid of

ate feedback,

articipants re

, despite thei

to learn tech

ome trainees

ility plays a

advantage pe

125

a

tudents

y tasks

equence

not have

hese

s

al skill.

ting all

ere used,

ld likely

gram.

ation may

d on

ees. The

wing

source of

ed, as we

surgical

, rather

eached

ir status

hnical

s unable

ersists

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126

for the duration of the learning curve. Low performing novice trainees generally remain in this

tier across technical tasks. Furthermore, some of these lower tier performers never reach the

proficiency threshold, and demonstrate marked variability in their learning curves with no trend

towards a plateau phase even after forty repetitions in a training environment with structured,

standardized feedback. Given the increasing use of minimally invasive and endo-luminal

techniques in surgical practice, screening potential candidates for surgical training using

simulated tasks to identify the lowest tier performers may benefit both the students and training

programs. Although the findings of the present study take the recent literature further, a

longitudinal follow up of the lowest tier performers within the clinical environment would

further validate these findings.

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Cha6

in e

This

Grant

opera

6.1

Back

know

has b

script

crisis

Meth

ment

Partic

part o

Asses

and s

Techn

Resu

the m

impro

conve

apter 6: R

enhancin

chapter has

tcharov TP.

ating room: a

Abstrac

kground: Me

wn to enhanc

been limited

ts, and to ass

s scenario.

hods: Twent

al practice g

cipants’ skill

of a crisis sc

ssment of Te

subjective str

nical Skills f

ults: An impr

mental practic

oved their te

entionally tr

Random

ng advan

been publish

Mental prac

a randomize

ct

ental practic

e performan

to basic ope

sess their eff

y senior surg

groups, the la

ls were asse

enario in a s

echnical Ski

ress paramet

for Surgeons

rovement in

ce group com

echnical perf

rained partici

mized clin

nced lapa

hed as Louri

ctice to enhan

d controlled

ce, the cognit

nce in sports

rations. The

fect on advan

gical trainee

atter being tr

ssed while p

simulated op

ll (OSATS)

ters were me

s rating tool.

OSATS (P =

mpared with

formance dur

ipants deteri

nical tria

aroscopic

idas M, Bonr

nce advance

d trial. Br J S

tive rehearsa

and music. I

purpose of t

nced laparos

es were rando

rained by an

performing a

erating room

and bariatric

easured, as w

.

=0�003) and

h the convent

ring the cris

iorated. Men

al to eva

c surgica

rath EM, Sin

ed laparoscop

Surg. 2015 Ja

al of a task w

Investigation

this study w

scopic skills

omized to ei

expert perfo

a porcine lap

m, using the

c OSATS (B

well as non-t

d BOSATS (

tional trainin

is scenario,

ntal imagery

aluate me

al perfor

nclair DA, D

pic surgical

Jan;102(1):3

without phys

n of this tech

was to develo

and surgeon

ither conven

ormance psy

paroscopic je

Objective S

BOSATS) in

technical ski

(P =0�003) s

ng group. Se

whereas fou

ability impr

ental pra

rmance

Dedy NJ,

performanc

7-44.

sical movem

hnique in su

op mental pra

n stress leve

ntional trainin

ychologist.

ejunojejunos

tructured

nstruments. O

ills using the

scores was s

even of ten tr

ur of the ten

roved signifi

127

actice

e in the

ment, is

urgery

actice

ls in a

ng or

tomy as

Objective

e Non-

seen in

rainees

icantly

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follow

differ

Conc

the si

despi

6.2

There

count

restri

care a

balan

to acc

trials

level

with

Dunn

skills

skill d

2012

speci

enhan

requi

pract

impro

and m

been

Mora

pract

wing mental

rences in obj

clusion: Men

imulated ope

ite added stre

Introdu

e has been a

tries in recen

ictions have

and decision

nce. This has

celerate tech

have demon

of technical

those with n

nington, 200

s warm-up be

during surge

; J. Y. Lee e

imens, with a

ncement stra

irements and

ice, defined

ove perform

mental prepa

demonstrate

an A., 1994;

ice may con

l practice tra

jective or su

ntal practice

erating room

ess.

uction

decrease in

nt years (Acc

been driven

n-making, as

s contributed

hnical skills t

nstrated that

l proficiency

no such train

8; Zevin B e

efore enterin

ery (Calatayu

t al., 2012).

associated re

ategy that im

d without add

as the cogni

ance in man

aredness on s

ed repeatedly

Paivio, 1985

nfer benefits

aining (P =0�

ubjective stre

improves te

m, and allows

the total num

creditation C

by societal

well as effo

d increasing

training and

technical sk

y and a short

ning (Palter &

et al., 2013; B

ng the operat

ud et al., 201

Both interve

esource requ

mproves oper

ditional dedi

itive rehears

ny fields. In s

stress levels

y(Burhans, R

5; Weinberg

for the surge

�011), but no

ess levels or

echnical perf

s trainees to

mber of hou

Council for G

concerns tha

orts to limit w

interest in tr

achievemen

kills pre-train

ened learnin

& Grantcharo

B. Zevin, Ag

ting room ha

10; Chen et a

entions requ

uirements, to

rative skill, w

icated infrast

al of a task w

sports psych

and perform

Richman, &

g RS., Seabo

eon in terms

ot in the con

non-technic

formance for

maintain or

urs available

Graduate Me

at fatigue ma

work hours t

raining strate

nt of compet

ning curricul

ng curve in th

ov, 2012; Sc

ggarwal, & G

as also been

al., 2013; Kr

uire simulatio

o run effectiv

with minima

tructure, wo

without phys

hology, posit

mance during

Bergey, 198

ume T., & J

s of increased

nventional gr

cal skills wer

r advanced l

improve the

for surgical

edical Educa

ay result in c

to acquire a

egies outside

tent perform

la result in tr

he operating

cott et al., 20

Grantcharov

shown obje

roft, Ordon,

on technolog

vely. An inex

al incrementa

ould therefor

sical movem

tive effects o

g high-level

88; Drisckell

Jackson A., 1

d technical p

roup (P =0�0

re evident.

laparoscopic

eir performa

training in m

ation, 2013).

compromise

healthier wo

e the operatin

ance. Rando

rainees with

g room comp

000; Scott &

v, 2012). Tec

ctively to im

Arthur, & P

gy and/or cad

xpensive sur

al resource

re be useful.

ment, is used

of mental pra

competition

l J., Cooper

1992). Menta

performance

128

083). No

c tasks in

ance

many

. These

d patient

ork–life

ng room

omized

h a higher

pared

&

chnical

mprove

Pittini,

daveric

rgical

Mental

to

actice

n have

C., &

al

e,

Page 145: Strategies to improve acquisition of technical skill in surgical … · 2017. 3. 28. · Marisa Louridas independently prepared this thesis and all aspects of the included original

decre

studie

this a

Agga

pract

effect

determ

techn

6.3

The j

lapar

of the

with

repro

reliab

6.3.1

Interv

pract

achie

cues

techn

shoul

& T.,

opera

transc

eased stress l

es, limited to

approach as a

arwal, Sirima

ice script for

tiveness of m

mine whethe

nical skills in

Method

ejunojejuno

oscopic proc

e Roux-en-Y

the camera a

oducibly sim

ble and valid

1 Ment

views were c

ice script. In

eved. Intervie

(what you se

nique was ad

ld not be mis

, 2007; Holm

ation to ident

cribed, and i

levels, and im

o basic lapar

an adjunct to

anna, et al., 2

r the perform

mental practi

er it was ass

n a simulated

ds

stomy (JJ) p

cedure for tw

Y bypass is re

and retractio

ulated in a b

d tools.

tal practice

conducted w

nterviews con

ews were rec

ee) and kine

dopted from t

staken for so

mes & Collin

tify common

iterative con

mproved dec

roscopic ope

o technical s

2011). The a

mance of an

ice on advan

ociated with

d crisis scena

portion of a R

wo reasons. I

ecognized as

on is conside

box trainer u

e script dev

with subspeci

ntinued unti

corded and s

sthetic cues

the performa

olely listing t

ns, 2001). Su

n pitfalls exp

ntent analysis

cision-makin

erations perfo

urgical skill

aims of the p

advanced lap

nced laparos

h differences

ario.

Roux-en-Y g

Independent

s a senior-le

ered a junior-

sing porcine

velopment

ialty-trained

l theme satu

surgeons ask

(what you f

ance psycho

the operative

urgeons were

perienced by

s was used to

ng skills in t

formed by no

ls training (S

present study

aparoscopic p

copic techni

s in stress lev

gastric bypas

t completion

vel procedur

-level task. J

e bowel, and

d bariatric sur

uration of me

ked to descri

feel) at each

ology literatu

e steps (Call

e asked to re

y trainees. Th

o identify em

the operating

ovice surgeo

S. Arora et al

y were to dev

procedure, to

ical skill per

vels and imp

ss was select

n of the lapar

re for trainee

JJ can be rea

d can be asse

rgeons to de

ental practice

ibe, in the fir

step of a lap

ure on script

low & Hardy

eflect back to

he voice rec

merging them

g room. Only

ons, have eva

l., 2010; S. A

velop a men

o assess the

rformance, a

provement in

ted as the ad

roscopic JJ p

es, whereas

alistically an

essed using e

evelop the m

e cues had b

rst person, th

paroscopic JJ

developmen

y, 2004; Gre

o each step o

ordings wer

mes and crea

129

y a few

aluated

Arora,

ntal

and to

n non-

dvanced

portion

assisting

d

existing

mental

been

he visual

J. This

nt and

egg MJ.

of the

e

ate the

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130

mental practice scripts. Pitfalls were added to the scripts if identified by more than one-half of

the expert surgeons.

6.3.2 Randomized trial

This study was a randomized single-blinded, two-armed trial conducted at a single large

academic institution in Canada. Before the start of the study the trial was registered through the

International Standard Randomized Controlled Trials Number (ISRCTN). Ethics approval was

granted by St Michael’s Hospital and the University of Toronto. Informed voluntary consent was

obtained from each study participant before randomization into either the mental practice or the

conventionally trained study arm using List Randomizer software (Randomness and Integrity

Services, Dublin, Ireland). No changes were made to the trial protocol during the course of the

study.

Postgraduate year 3 and 4 general surgery residents were eligible for recruitment to this study.

Participants who had completed fewer than five laparoscopic JJs in either the simulation

environment using a porcine bowel model in a laparoscopic box trainer, or in the operating room,

were excluded. Other exclusion criteria were: systemic illness affecting BP or heart rate (for

example, hypertension, diabetes mellitus or mood disorders), and use of prescription drugs that

modify cardiovascular response.

Previous work on the effects of mental practice on improving technical proficiency has shown an

average difference between trained and untrained groups of 5 points on the 35-point Objective

Structured Assessment of Technical Skill (OSATS) global rating scale(S. Arora, Aggarwal,

Sirimanna, et al., 2011). Analyses of these published data suggested a standard deviation for the

study sample of no more than 3�7. Using these findings, sample size calculation revealed the

need for at least nine individuals per group to detect a significant difference with an α of 0.05

and a power of 0.80.

All participants completed a demographic questionnaire at the start. Two objective validated

assessment tools were used to measure baseline mental imagery ability: the Mental Imagery

Questionnaire (MIQ) and the Movement Imagery Questionnaire Revised Second version (MIQ-

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131

RS), which itself is broken down into visual imagery and kinesthetic imagery scores (S. Arora et

al., 2010; Gregg, Hall, & Butler, 2010). To assess baseline technical skill, each trainee performed

one laparoscopic JJ on a box trainer, using a porcine bowel model. The simulated laparoscopic JJ

was video recorded for subsequent blinded rating using the OSATS (Martin et al., 1997) and the

bariatric OSATS (BOSATS) scales (Zevin B et al., 2013). Finally, baseline stress levels were

measured objectively by heart rate and BP (using a non-invasive automatic BP machine), and

subjectively by the validated six-item State–Trait Anxiety Inventory (STAI) questionnaire for

adults (Marteau & Bekker, 1992).

All subjects participated in a didactic lecture on the creation of a laparoscopic JJ. The lecture

outlined the technical steps of the operation, with accompanying videos demonstrating the

correct operative technique for each step. Following the lecture, a multiple-choice test was

administered to ensure that all participants understood the steps of the operation. After the

session, the instructional videos used in the didactic session were available to all participants for

review at any time during the study. Residents in the intervention group additionally underwent

mental practice training, consisting of in-person instruction from an expert performance

psychologist and independent practice. Participants were taught first to perform a relaxation

exercise with abdominal breathing, and then to begin mental practice guided by the mental

practice scripts focusing on the kinaesthetic and visual cues required to ‘feel’ and ‘see’ each step

of the laparoscopic JJ. Subsequently, all participants in the intervention group were provided

with the written script, as well as a version of the technical skills videos from the didactic session

that included a voice-over of the mental practice scripts. Each participant had 7 days to perform

mental practice independently at home with the scripts and videos. To promote the use of mental

practice, each trainee participated in three voice-recorded follow-up telephone calls in which

they walked through the scripts verbally and received structured feedback from one investigator.

One week after baseline testing, both groups participated in a crisis scenario of a laparoscopic JJ

procedure in the simulated operating room. The same porcine bowel model in a laparoscopic box

trainer, as baseline, was used to allow blinding and direct comparative assessment before and

after the intervention.

To create a realistic, standard operative environment, the roles of the anaesthetist, scrub nurse,

circulating nurse and assistant surgeon were scripted and played by healthcare professionals who

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132

were trained to react appropriately within the script guidelines. As the trainee performed the

procedure, at a set operative step, the simulated patient unexpectedly had an anaphylactic

reaction to the routinely administered preoperative antibiotics. The crisis was introduced

purposefully when the gastrointestinal tract was interrupted, driving the resident to manage the

crisis then finish the operation rather than abort the procedure. Immediately following

participation in the crisis scenario, participants were asked individually to keep all information

concerning the session confidential, and all agreed. Three different crisis scenarios were prepared

in case of a breach of confidentiality. Only a single scenario was used, however, as participants

continued to be surprised and stressed as measured by objective and subjective parameters, with

no indication of any breach of confidentiality.

To ascertain objective performance, the video recordings of the laparoscopic JJs were assessed

using both OSATS and BOSATS scales. All laparoscopic-view videos (baseline and simulation

crisis JJ) were edited to start when the laparoscopic graspers entered the box trainer and to end

after closing the common enterotomy. The pause reflecting the crisis period was removed from

the laparoscopic video before review in random order to ensure that the raters were blinded to

both the participant and study stage (baseline versus after intervention).

Stress levels were assessed using both objective and subjective instruments. During the

simulation, BP was taken at five fixed points in the operation using an automatic BP cuff, and

heart rate was recorded at 1-s intervals, using a non-invasive chest strap monitor (Polar Electro,

Kempele, Finland). Participants wore monitors for the whole of the scenario, allowing parameter

measurement with minimal interruption to the surgical task being performed. Subjective stress

was scored by each participant using a validated six-item version of the Spielberger

STAI(Marteau & Bekker, 1992), which was administered both before and after the simulation.

The full simulated surgical scenario was video recorded for each participant to assess non-

technical skills. Two trained raters used the Non-Technical Skills for Surgeons (NOTSS) scoring

system to evaluate the trainees(Yule et al., 2008). Raters were non-surgeons who had received

dedicated training from a surgeon researcher experienced in the assessment of surgeons’ non-

technical skills within the operating room. This training included instruction and training on

roles, responsibilities and behaviours within the operating room, multiple case-based training

sessions, practice ratings using intraoperative videos and rater calibration by comparing scores.

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To en

rando

progr

assoc

To as

comp

surgi

6.3.3

Descr

to com

(Wilc

score

tests

6.4

6.4.1

Satur

opera

tactil

bowe

nsure objecti

omization of

ramme, no p

ciated with th

ssess particip

pleted a shor

cal training.

3 Statis

riptive statis

mpare techn

coxon rank s

es, change sc

(independen

Results

1 Ment

ration of them

ative substep

e cues. For e

el 50 cm from

Visual: ‘I

sight. I do

grasped. T

incorrectl

ive assessme

f the particip

personal or p

he developm

pant satisfac

rt questionna

stical analy

stics were ca

nical, non-tec

sum test and

cores (baselin

nt and paired

s

tal practice

mes was rea

ps were ident

example, a p

m the ligame

grasp the bo

on’t want to

These are vis

ly’.

ent, raters we

pants, had no

rofessional r

ment or imple

tion with the

aire to gauge

ysis

alculated for

chnical skills

Mann–Whi

ne score – fi

d t tests) wer

e scripts

ched after ei

tified for the

portion of the

ent of Treitz

owel whilst

see any blot

sual signs of

ere blinded t

o association

relationship

ementation o

e use of men

e whether it w

all variables

s and STAI s

tney U test).

inal score) w

e used to ev

ight bariatric

e laparoscop

e script of st

’, read:

I see it; I nev

tchy haemato

f trauma: wh

to the purpo

n with the gen

with the stu

of this resear

ntal practice,

was consider

s. Non-param

scores withi

. To account

were used to

aluate differ

c surgeons h

ic JJ, with e

tep 1 ‘runnin

ver grab the

omas, or exc

hich means, I

se of the stu

neral surgery

udy participa

rch.

, all interven

red a valuab

metric statist

in and betwe

t for the diff

compare the

rences in hea

had been inte

ach broken d

ng the proxim

bowel with

cessive blanc

I’ve grasped

udy and grou

y training

ants, and wer

ntion group r

ble adjunct to

tical tests we

een groups

ference in ba

e cohorts. Pa

art rate and B

erviewed. Six

down into vi

mal limb of s

the graspers

ching where

d too hard or

133

up

re not

residents

o

ere used

aseline

arametric

BP.

x

isual and

small

s out of

e I’ve

r

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134

Kinaesthetic: ‘I try to feel where the bowel wants to go. I don’t push the bowel or direct it

to an area where I can feel tension. I run the bowel with zero tension in a clockwise

fashion. If the bowel doesn’t want to come, something’s wrong. It’s probably stuck

somewhere or I haven’t got a good grab’.

A minimum of two to a maximum of five pitfalls was identified for each step of the operation.

An example of a pitfall repeatedly identified by experts during step 1 was ‘working off screen’:

Working off screen: ‘Trainees may grab the bowel when it’s out of sight and therefore

they cannot see if they are applying too much force or have caused injury. This can result

in unrecognized bowel injury’.

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Figur

6.4.2

The p

chara

the in

re 14: CONS

2 Rand

progress of p

acteristics of

ntervention g

SORT diagra

domized tri

participants t

f the groups w

group had pe

am illustratin

ial

through the p

were similar

erformed mo

ng progress t

phases of the

r, but laparos

ore laparosco

through the

e study is sh

scopic exper

opic procedu

phases of th

hown in Figu

rience was n

ures as the pr

he study

ure 14. Demo

not the same

rimary surge

135

ographic

because

eon and

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136

more laparoscopic JJs in the operating room and simulation centre (Table 19). The OSATS and

BOSATS scores at baseline were higher in the intervention group than those in the control group.

Change scores (final score – baseline score) were therefore used to compare the cohorts. At

baseline, all remaining measurements were equal between groups including mental imagery

ability, and objective and subjective stress parameters (Table 20).

Table 19: Demographics of study participants

Conventional training

(n = 10) Mental practice

(n = 10) Postgraduate year 3 4

5 5

6 4

Sex ratio (M : F) 9 : 1 7 : 3 Handedness Right Left

10 0

10 0

Completed FLS training Yes No

4 6

3 7

No. of junior-level laparoscopic procedures

< 10 > 10

2 8

2 8

No. of procedures as primary surgeon < 10 7 5 > 10 3 5 No. of laparoscopic JJs in OR and simulation centre

< 10 8 5 > 10 2 5

FLS, Fundamentals of Laparoscopic Surgery; JJ, jejunojenustomy; OR, operating room.

Table 20: Result of baseline assessments of technical skill and mental rotation ability

Conventional training Mental practice P*

Technical skill score (points)

OSATS 18 (17, 21) 22 (21, 27) 0.043

BOSATS 21 (20, 32) 28 (26, 35) 0.123

Mental rotation ability score (points)

MIQ 32 (27, 39) 33 (26, 39) 0.912

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137

RVMIQ 43 (41, 45) 46 (35, 49) 0.684

RKMIQ

40 (36, 44) 42 (33, 48) 0.971

Values are median (i.q.r.). OSATS, Objective Structured Assessment of Technical Skill; BOSATS, bariatric

Objective Structured Assessment of Technical Skill; MIQ, Mental Imagery Questionnaire; RVMIQ, Revised

Vividness Mental Imagery Questionnaire; RKMIQ: Revised Kinaesthetic Mental Imagery Questionnaire. *Mann–

Whitney U test.

Greater improvements in technical skills were seen among patients who underwent mental

practice training, with significantly higher OSATS and BOSATS change scores than among

those who received conventional training. Seven of ten participants in the intervention group

improved their OSATS score by at least 5 points on the final crisis scenario, and the remaining

three improved by 0–4 points. None of these participants deteriorated in skill when placed in the

crisis environment. In contrast, only two of the ten conventionally trained residents improved

their OSATS score by 5 points or more, four improved by 0–4 points and four deteriorated in

skill when tested in the crisis environment (Figure 15 and Figure 16). Those in the intervention

group had significantly greater median absolute OSATS and BOSATS scores on final

assessment than at baseline. These changes were not seen in the conventional group (Table 21).

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Figure 15: Comparison of Objective Structured Assessment of Technical Skill (OSATS) change

scores between groups. Median (line within box), interquartile range (box), and range (error

bars) excluding outliers (circles) are shown. Dotted line indicates baseline performance. P

=0�003 (Mann–Whitney U test)

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Figure 16: Comparison of bariatric Objective Structured Assessment of Technical Skill

(BOSATS) change scores between groups. Median (line within box), interquartile range (box),

and range (error bars) excluding outliers (circles) are shown. Dotted line indicates baseline

performance. P =0�003 (Mann–Whitney U test)

mental practicegroup

conventionally trainedgroup

BO

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baselineperformance

p = 0.003

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Table 21: Technical skill results at baseline and following training

Baseline Crisis scenario P

Conventional training

OSATS score (points) 18 (17, 21) 19 (16, 25) 0.734

BOSATS score (points) 21 (20, 32) 24 (20, 30) 0.622

Mental practice

OSATS score (points) 22 (21, 27) 30 (25, 36) 0.005

BOSATS score (points) 28 (26, 35) 37 (35, 40) 0.005

Values are median (i.q.r.). OSATS, Objective Structured Assessment of Technical Skill; BOSATS, bariatric

Objective Structured Assessment of Technical Skill. *Wilcoxon signed-rank test.

Residents in the mental practice group demonstrated a significant improvement in median MIQ

scores following training. No significant difference in median scores was identified in the

conventional training group. No significant differences in mental imagery abilities were

identified for either study arm, using the MIQ-RS (Table 22). Systolic BP, diastolic BP and heart

rate increased significantly during the crisis scenario in all participants compared with baseline:

mean (s.d.) increase 18(25) mmHg (P =0�004), 20(13) mmHg (P <0�001) and 14(14) b.p.m. (P

<0�001) respectively. During the crisis moment the intervention and control groups experienced

equally high systolic BP (139(19) and 137(17) mmHg; P =0�830) and diastolic BP (94(17)

versus 94(10) mmHg; P =1�000). The groups reported feeling equally stressed during the crisis

scenario as measured using the STAI score: median 11 (i.q.r. 10–14) versus 12 (11–13)

respectively (P =0�853).

There was no significant difference in non-technical performance when mean values of the four

categories of NOTSS were compared between groups (P =0�853). Inter-rater agreement was

excellent, with an intraclass correlation coefficient of 0�80.

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Eight

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142

received mental practice exhibited deteriorating performance scores from baseline during the

crisis, whereas four of the ten conventionally trained had worse performance. This finding is

important for surgical trainees who work routinely under pressure, and undoubtedly will be

required to perform under stress during their surgical careers. Previous studies (S. Arora,

Aggarwal, Sirimanna, et al., 2011; Geoffrion et al., 2012) have tested participants directly after

in-person mental practice coaching. The present study demonstrated the effectiveness of this

technique with delayed testing after mental practice at home, which may be a more realistic

approach to implementation of mental practice into residency training.

The effectiveness of mental practice in improving performance is dependent on achieving

improvements in mental imagery ability(Sevdalis, Moran, & Arora, 2013). Although it is

difficult to quantify and measure participants’ use of mental practice techniques directly, tools to

assess mental imagery ability, such as the MIQ, may be able to identify improvements associated

with their use. In the present study, participants demonstrated a significant improvement in MIQ

scores following mental practice training but not after conventional training. Surprisingly, stress

levels and non-technical skills were similar in the two groups. This was in contrast to one other

study (S. Arora, Aggarwal, Moran, et al., 2011) in which mental practice significantly decreased

stress scores measured by heart rate, STAI and urinary cortisol in novice surgeons performing a

simulated laparoscopic cholecystectomy. Reasons for similar responses between groups in the

present study may be related to the mental practice scripts being highly focused on kinaesthetic

and visual imagery for technical skill, rather than motivational enhancement imagery that

focuses on optimizing performance during times of increased pressure or stress. Although the

intervention group was able to outperform the conventional trainees in the presence of significant

stress, similarities between the groups with respect to non-technical skills suggest that altering

behaviours such as communication and team management require dedicated non-technical skills

training30, rather than an indirect intervention such as mental practice or progression of

increased experience during surgical training (Alvand et al., 2012; Flin et al., 2007).

This study has a number of limitations. Baseline OSATS scores were significantly different

between the groups. This difference was probably explained by the study participants’ variable

exposure to minimally invasive surgery rotations before the start of the study. The use of change

scores in the analysis should, however, have overcome most of this effect. Non-technical skills

raters were not surgeons, which may have impeded their ability to discern differences in non-

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143

technical skills associated with crisis management. These individuals had, however, received

extensive instruction and training in non-technical skills assessment before the start of the study,

minimizing the impact of their lack of direct surgical experience. It is possible that there might

have been differences in the relative contribution of the different components of the mental

practice intervention (in-person training, independent practice with written script, review of

performance videos with audio or written script) to the observed differences in technical

performance, but the study design did not allow assessment of these potential differences.

Cortisol levels were not used to quantify stress because the majority of trainees had clinical

duties to attend to, and it was not feasible for them to participate in the study while avoiding the

many confounders of cortisol levels (Kelly, Young, Sweeting, Fischer, & West, 2008).

Mental practice as an adjunct for training of advanced laparoscopic skills appears to be an

effective method of improving performance in surgical trainees, with the added stressor of a

crisis scenario in the simulated operating environment. These findings suggest that it may be a

promising adjunct to surgical training programmes.

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Cha7

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Over

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146

process of responding to visual cues from a 2D screen which can then be transferred to

laparoscopy (Dimitriou et al., 2009; Paschold et al., 2011). Thus video game experience likely

does not evaluate technical aptitude but rather a learnt skill. Similarly, time spent in the real

operating room is not a fair selection question, because it does not address technical aptitude but

again, learnt skill. Furthermore, time spent in the operating room will differ between applicants

due to their medical school program structure, the number of weeks of surgery they are exposed

to and the number of learners in the operating room. Although these external factors directly

influence this screening question it will have no bearing on true technical ability. Therefore,

these two background factors are not suitable for screening incoming trainees.

However, finding a background characteristic or experience that may be associated with

technical performance would be advantageous to the existing selection process due to ease of

implementation. Therefore, background experiences were explored in both original studies of

incoming surgical trainees and medical students in this thesis (chapter 3 and 5). The background

experiences were expanded to include involvement in sports, music, gaming and characteristics

such as gender, handedness etc. but unfortunately none of these demonstrated a consistent

positive association with technical performance. Despite my persistent effort to search for a

background characteristic or experience to incorporate into selection to screen for technical

aptitude, none reliably demonstrated a positive association with technical ability. Instead,

background experiences may be helpful to determine other desirable attributes for incoming

trainees (e.g. ability to work in a team, work ethic, interest in research) and further study in this

area may prove fruitful.

Twenty-five visual spatial tests were identified in the literature search but only three were

thought to have some evidence of predicating laparoscopic performance: PicSOR, cube

comparison tests and card rotation test. Of the three, PicSOR demonstrated the most consistently

positive association with simulated laparoscopic skills in a box trainer and virtual reality

simulator (Buckley et al., 2013; Buckley et al., 2014; A. G. Gallagher et al., 2003; Kolozsvari et

al., 2011; McClusky et al., 2005). However, often these associations were of subcomponents of

the scoring metrics, rather than overall performance. Scores on the cube comparison and card

rotation tests had equal numbers of studies that demonstrated positive and negative associations

with laparoscopic performance, therefore it was still unknown whether these tests would be

useful for the purpose of selection(Buckley et al., 2013; Buckley et al., 2014; L. Enochsson et al.,

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2006; Groenier et al., 2014; Kolozsvari et al., 2011; McClusky et al., 2005; Nugent et al., 2012;

Dimitrios Stefanidis et al., 2007). To further understand this relationship, these three visual

spatial tests were selected and compared to laparoscopic camera navigation on the VR simulator

and laparoscopic circle cut on the box trainer.

Of the three visual spatial tests listed above, only the cube comparison test demonstrated a

positive association with overall technical performance on the VR LCN task. No other positive

associations were noted. Although disappointing that these tests were not able to screen for

technical ability of novice trainees, it speaks to the complexity of predicting technical aptitude.

Visual spatial tests may play a role in laparoscopy, however in isolation it does not explain the

reason for variable performance between trainees. Technical performance is likely a multifaceted

process involving many interacting abilities, which to date are not fully understood.

7.2.2 To solicit program directors’ opinions on the proportion of trainees who

do not achieve the minimum technical standards expected at the time of

graduation

To assess whether there is a potential for improving the selection process by screening for future

technical ability, current PDs of Canadian GS training programs were surveyed. Specifically,

they were asked whether they felt some contemporary GS trainees are unable to reach technical

competence despite completing a full post-graduate GS training program. The majority of PDs

reported that some trainees do not achieve the minimum technical standard at the time of

graduation, with the stated proportion ranging from 5-15%. Although no historical Canadian data

are available for comparison, this number is consistent with previously published findings from a

number of European centers which reported that 5-20% of their participants had difficulty

reaching technical competence (A. Alvand, S. Auplish, T. Khan, et al., 2011; Cushchieri, 2003;

Grantcharov & Funch-Jensen, 2009; M. P. Schijven & Jakimowicz, 2004).

In 2015, 87 trainees entered GS training across Canada. Over the past 5 years, the number of

available national training positions in GS has ranged from 86-95. Consequently, if the 2015

numbers are extrapolated to reflect 10-15% of trainees, nationally 4-14 incoming residents per

year are at risk of not reaching technical competence. These numbers represent a proportion of

trainees that have successfully gone through the full selection process. They have worked with a

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number of GS staff, obtained reference letters from surgeons in the field, received multiple

evaluations and have interviewed to be matched into competitive positions. This information

further supports that technical aptitude screening is an area within the selection process that has

room for improvement.

7.2.3 To establish a national consensus on the desired attributes of GS

candidates, and the technical skills that would be most indicative of

future performance

Clear consensus was met amongst the PDs on a number of non-technical attributes that are

desirable for a GS trainee and were prioritized above technical skill. The attributes that received

the highest level of agreement included: work ethic, passion for GS, professionalism, ability to

work in a team, sound judgment, ability to make decisions and the ability to assimilate

information to formulate an opinion. Therefore, it was clear from the PDs that although technical

ability is required for surgical training its importance was second to the non-technical skills listed

above. GS is a team based interdisciplinary surgical field where nurses, allied health members

(e.g. occupational therapist, physiotherapist, wound care specialists and dieticians), patients and

their families are imperative to each patient’s peri-operative care. Therefore, it is understandable

that non-technical skills were emphasized by the PDs as most important. Selecting residents who

will excel in these qualities is of utmost importance and future research is needed to identify

screening tools that predict these attributes.

However, even though technical skill was not considered the most important attribute, it also

reached positive expert consensus. Furthermore, consensus was reached on two basic open tasks

(one-handed tie and subcuticular suture) and two laparoscopic tasks (coordination, grasping and

cutting). The tasks that reached consensus were all basic skills that are required across all GS

disciplines, whether applying to a rural, community or urban training environment or future

surgical practice. Furthermore, the simulation equipment required to implement these tasks is

readily available in all basic simulation centres with no specialized equipment required.

The reason expert consensus was used to select technical tasks is due to the paucity of

information available in the literature to select evidence based technical tasks for selection.

Furthermore, many questions remain unanswered, including what the appropriate standards are

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for each task, how well these tests discriminate between technical performance and at what time

point(s) in the learning of these skills reflects future clinical performance. Therefore, although

expert consensus was used as a starting point to choose technical tasks, original research is

needed to delineate these details.

7.2.4 To quantify different learning patterns among trainees for both basic and

more advanced laparoscopic and open skills

The existing surgical literature had examined the LCs of single simulated laparoscopic tasks or

procedures,(Grantcharov & Funch-Jensen, 2009; M. P. Schijven & Jakimowicz, 2004) but had

not determined the learning patterns of tasks of varying difficulty. Furthermore LC data for open

tasks to discriminate different learners had not been reported in the literature.

In today’s surgical training environment, at the time of graduation residents are expected to be

component in both open and laparoscopic procedures. With that said, subspecialty training

within GS allows each individual to tailor their surgical practice to encompass technical elements

that complement their strengths and interests (e.g. breast surgery requires predominately open

skills vs bariatric and foregut surgery which require advanced laparoscopic skills). Thus,

understanding learning curve patterns across different tasks within open and laparoscopic skill

may be helpful in understanding where low performers are most disadvantaged.

Overall, learning patterns ranged from very efficient learning, demonstrated by a steady

progression towards competence, to, in contrast, widely variable learning, where improvement

was incrementally small due to highly fluctuant performance. Furthermore, as the task increased

in difficulty, variability in performance increased as well. Trainees took longer to reach

competence and found it to be more difficult to maintain consistent performance at this level.

Therefore, trainees and faculty should be aware that fluctuating performance is expected as task

difficulty increases and increased practice will be required to maintain competence performance.

Simulation training is likely most beneficial for the fluctuating portion of the learning curve of

these tasks.

More specifically, four distinct learning clusters were identified within these general learning

patterns. Clusters 1-4 grouped individuals over the range from high to low performers,

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respectively. Low performers had persistent difficulty with laparoscopic tasks as compared to

open tasks, and also demonstrated the most significant amount of fluctuation between repetitions.

7.2.5 To determine whether trainees stay within their learning patterns across

simulated tasks of varying difficulty (basic and advanced) and type

(minimally invasive and open)

The study described in chapter 5 demonstrated that were was a significant association between

individuals to stay within their assigned cluster with lateral movement to a neighboring cluster.

Thus, despite the tasks increasing in difficulty, low performers demonstrated poor acquisition of

technical skill within laparoscopy as compared to their peers, even when learning the easier

tasks.

This finding is interesting because anecdotally it may be hypothesized that all trainees will be

able to learn easy tasks but not all trainees will be able to learn more difficult tasks. However,

this was not the case. Instead, trainees who demonstrated difficulty with basic tasks had even

more difficulty with advanced tasks. Furthermore, this provides evidence that screening with

basic laparoscopic skills may a sufficient discriminatory test to differentiate technical aptitude

for incoming trainees.

7.2.6 To identify a subset of trainees who consistently fail to reach proficiency

on simulated tasks and determine the features of their learning curves that

separate them from their peers

The distinct learning features of low performing trainees were unique to laparoscopic tasks and

included high variability between repetitions, inability to reach the proficient cut off score and no

true plateau phase in the learning curve. These learning curve features were demonstrated in the

simulation center, which is a very controlled environment when compared to the operating room.

The equipment, instrument set-up and simulation models were constant throughout the learning

period and despite this, variable performance was demonstrated from the lowest performers. The

real operating environment is far more complex. Patient factors include tissue integrity, set-up,

body habitus and anatomy different from case to case. Therefore, it may be reasonable to infer

that these factors would further exacerbate already variable technical performance.

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Furthermore, the question whether continued practice would eliminate these concerning learning

curve features is unresolved. So far in the surgical education literature, 10-30 repetitions have

been used to quantify learning curves of simulated tasks. The study in chapter 5 increased the

practice window to 40 repetitions, and when comparing the results of each task a 5-20% low

performing group was consistently present. Furthermore, current surgical trainees are expected to

reach technical competence within an environment with work hour restrictions, increasing

patient safety precautions and where surgical techniques are becoming more difficult. Acquiring

technical skill at a reasonable rate is necessary to progress through training in a timely manner.

In addition, technical performance is only one of the many required competencies set by the

Royal College of Physicians and Surgeons. Therefore, dedicated time is required to also grow the

non-technical elements of becoming a safe surgeon. Although the accepted time to acquire a

technical skill to competence has not been formally defined within the literature, forty repetitions

is the longest training window that has presently been examined in the literature. The associated

learning curve features demonstrated by low performing trainees provide some evidence that

proficiency will not be met in a timely manner, as progress toward the proficiency threshold was

not convincing.

During training

7.2.7 To develop a MP script for the performance of an advanced laparoscopic

procedure

A mental practice script was created primarily focusing on CS mental practice as compared to

MG or MGA. CS mental practice was chosen because it is recommended when trainees are

beginning to learning new skills, pertinent to the study population of interest, in comparison to

expert surgeons who would likely benefit from a performance enhancement script that focuses

on MG or MGA.

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7.2.8 To assess the effectiveness of MP on advanced laparoscopic technical

skill performance

The effectiveness of mental practice was explored as a technique to be incorporated into surgical

residency specifically as an adjunct to improved technical performance in senior level trainees.

In the RCT described in chapter 6, the trainees who participated in MP technically outperformed

the control group. As described in section 2.6.2, MP focuses on the cognitive process of learning

an operation as compared to physical practice. To date, simulation curricula have largely focused

on physical practice, i.e. performing a task and learning through repetitive practice. However,

although simulation has advanced tremendously over the years, creating a realistic simulation of

full laparoscopic operations or even a portion of an operation, is challenging. Trainees can

practice operations on a VR simulator, however senior level residents who have experience

operating with real tissue and real surgical equipment do not respond well to VR simulation due

to the limitations of the technology to create a realistic operative feel (Shetty, Zevin,

Grantcharov, Roberts, & Duffy, 2014). Furthermore, to create a realistic operation in a box

trainer requires a high fidelity model (ie cadaveric porcine bowel), which is expensive and often

limited to one time use. Therefore, instead of relying on physical practice alone in senior

trainees, MP can be used as an adjunct to enhance technical performance in the real operating

room.

7.2.9 To determine whether MP is associated with differences in stress levels

and improvement in non-technical skills in a simulated crisis scenario.

Mental practice training was not associated with differences in stress levels or improvement in

non-technical skills in a simulated crisis scenario. The reason MP was not associated with

decreased stress level may be due to the way stress was measured. The non-invasive physiologic

stress levels used included blood pressure and heart rate, with a higher heart rate and blood

pressure indicative of increased stress. However, all surgical trainees entering the simulated

operating room scenario had heart rate and blood pressure levels above their baseline and the

incremental difference did not differ between the groups. More sensitive and specific measures

of stress such as heart rate variability or salivary cortisol may have detected a difference,

however were not available(Crewther et al., 2016; Kirschbaum et al., 1996). In addition, the

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154

safety threshold. Second, the selected experts are often subspecialty trained surgeons (i.e.

experienced laparoscopic surgeons for laparoscopic skill or experienced open surgeons for open

skills). Therefore, their performance scores may be consistently far above the competency

threshold, closer to a proficient or expert level of performance.

Within the surgical education literature, the words competent and proficient are often used

interchangeably, despite these terms describing two distinct performance levels. When these

terms are linked back to their origin in education theory, they are meant to describe different

phases of skills acquisition. Dreyfus and Dreyfus (1980) outline a five-stage model of the mental

activities involved in directed skill acquisition (Dreyfus & Dreyfus, 1980). A student will begin

as a ‘novice,’ and at this stage of learning the trainee is dependent on the rules and only feels

responsibility to follow the rules. With practice and experience the student becomes an

‘advanced beginner’ where he/she identifies conditional rules but continues to only feel a sense

of responsibility within the rules. The next phase is termed ‘competent,’ and is when the student

feels responsible for making decisions and begins to sort information by importance. The forth

state is ‘proficient’ whereby the student feels even more responsibility for his/her actions and is

able to use pattern recognition to assess what to do. Lastly ‘expert’ level is reached as the skills

become intuitive or automatic (Figure 17). Therefore, using the terms competent and proficient

interchangeably is incorrect and confuses different stages of learning. Discriminating these levels

may be helpful in setting cut off scores for trainees of different levels and may shield against

setting scores that are too high or too low.

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Figure 17: A five-stage model of the mental activities involved in directed skill acquisition

(adapted from (Dreyfus & Dreyfus, 1980)).

Therefore, using methodology that is able to discriminate between competent and proficient may

help with this long-standing limitation of setting cut off scores.

Recently, standard setting methodology has been suggested as an alternative approach to setting

cut off scores. Within medical education, standard setting has been used to set pass/fail scores for

high-stakes assessments for written, oral and OSCE examinations (McKinley & Norcini, 2014;

Norcini, 2003), however this methodology is new to technical skills assessments.

Three standard setting methodologies have been demonstrated to appropriately set pass/fail

scores for technical skills of surgical trainees. These include: contrasting groups, borderline

group and borderline regression methods (Figure 18 and Figure 19) (de Montbrun,

Statterthwaithe, & Grantcharov, 2015). Contrasting groups is centered on the idea that within a

given population there are trainees that will undoubtedly pass or fail a task (Livingston & Ziesky,

1982). For example when performing a technical task an expert examiner will score the trainee’s

overall performance as competent or not competent. Plotting histograms of the scores (either

GRS or checklist scores) in these two categories will result in an intersection between the groups

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which is determined as the passing score (Norcini, 2003)(Figure 18 a). Borderline group

methodology is centered on the idea that the pass/fail score should be set at the level of the

borderline student (Sturmberg & Hinchy, 2010). The borderline student is defined as the

individuals sitting on the edge of the passing score and this score becomes the pass/fail score

(Figure 18b). For example when the student is performing a technical task the expert examiner

will score their performance as neither competent or not competent but borderline.

a. Contrasting Group b. Borderline Group

Figure 18: Standard setting using: a. contrasting groups and b. borderline group methodology

(images adapted from (de Montbrun, Statterthwaithe, & Grantcharov, 2015))

Borderline regression is also centered on the idea of the borderline candidate (Sturmberg &

Hinchy, 2010). However, instead of using a subset of scores for the calculation of the pass fail

score, a linear regression analysis is used (Figure 19).

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Figure 19: Standard setting using borderline regression methodology (image adapted from (de

Montbrun et al., 2015))

However, using standard setting methods to set cut off scores does not imply that these scores

will be transferable to other studies. Fraser et al. set passing scores using the contrasting groups

methodology (Figure 18a). The contrasting groups were defined as senior residents and junior

trainees and the interception of their scores was termed the competence threshold (Fraser et al.,

2003). However, despite using one of the described standard setting methodologies, the reported

cut off ‘competency’ scores in this study seem to be very low compared to the proficiency

threshold set by Ritter et al. Reasons for these low scores could be that the residents who

participated in the study may have had minimal experience with the FLS tasks resulting in low

performance scores, which then shifted the competency threshold downward, affecting their

transferability to other studies.

When seeking cut off scores for chapter 5 of the present work, the cut off scores reported by

Fraser et al. were found to be too low for the participants. The medical students in cluster 1 and 2

(top and high performers) surpassed the cut off scores set by Fraser et al. within their first 2-5

repetitions of the FLS tasks, yet it was obvious to the instructors that they were not comfortable

performing the task and certainly far from competent in performing them.

Therefore, there is a need within the field of surgical education to develop and define cut off

scores that are reliable and credible, to use consistent terminology when referring to the

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performance thresholds that inform the setting of cut off scores, and to strive to set scores for

skills commonly assessed in the literature that are transferable across studies.

7.3.2 The implementation of global rating scales as a routine assessment

method during selection and surgical training

Global rating scales are considered the gold standard in assessing technical performance during

procedures or operations, and are believed to be superior to check lists due to their ability to

discriminate between performance quality (Regehr et al., 1998). However, the inclusion of these

assessment tools in surgical curricula and ongoing surgical training is limited due substantial

time and resource requirements associated with their regular and objective use.

Watching each operation to determine a GRS performance score is extremely time consuming.

To use the GRS assessment tool correctly, the assessor is required to watch the procedure in

normal playback speed or in real time. This method was used in chapter 5 for the two open tasks,

which were graded using the mOSATS GRS. The present work required the assessment of 5200

videos, which resulted in 260 hours of rating time. In the context of a single study, this approach

was feasible. However, if implemented as a routine assessment tool within an ongoing

educational curriculum, the time requirements may make assessment by GRS unsustainable.

Similarly, an attempt at ongoing assessment of surgical residents’ intraoperative performance

with a GRS would result in even more substantial time requirements, given that full surgical

procedures commonly range from 2 to 8 hours in duration, substantially more than the

approximately 5 minute duration of the individual technical tasks performed by the participants

in the present work.

In addition to their time consuming nature, to reduce the bias and subjective nature of GRS, these

assessment tools can be completed in a blinded fashion using video recordings. However to

accomplish this, dedicated raters are needed to assess the videos, which is costly and requires

significant infrastructure. Even if such raters were available, rater fatigue is problematic and can

lead to decreased assessment quality. Rating videos daily for long periods of time is a

monotonous and passive process. Intermittent assessment of inter-rater reliability to ensure

calibration is maintained is important to maintain quality. However, again although doable in a

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study setting for a relatively short and finite assessment period, using GRS as a routine measure

of trainee competence in a surgical training program may not be a feasible solution. Therefore,

seeking reliable objective assessments that are less time consuming, yet meaningful, is required

to improve assessment of open technical skills and intraoperative procedural skills.

7.3.3 Adequate sampling

Studies within the field of surgical education are often limited by the sample size. Participants

for these studies are recruited from within the medical system, specifically medical students,

residents, fellows or faculty. This limits the potential number of participants available for

recruitment. Furthermore, within the group of potential participants at a given training level, sub-

populations exist that cannot always be considered similar for the purpose of many education

research questions. For example first year and fifth years residents are characterized by very

different levels of technical skill, surgical judgment, decision making and patient management

experience. Therefore residents often cannot be studied as a single cohort.

Powering studies adequately has not been a problem for surgical education studies that compare

two teaching paradigms or when constructing two technical skills curricula (Louridas, Bonrath,

Sinclair, Dedy, & Grantcharov, 2015; Palter & Grantcharov, 2012). In chapter 6, a randomized

controlled study was designed to assess the effect of MP on the interventional group compared to

the conventional residency-training group. In this study, a sample size calculation of 10

participants per group was adequate to detect a difference in the primary outcome. However, as

the surgical education field expands and studies attempt to adopt analytical techniques from the

field of clinical epidemiology to explore the effect of technical skill on patient outcomes

(Birkmeyer et al., 2013) or predictive modeling statistics to predict outcomes, larger sample sizes

will be required. Sixty-five medical students were recruited for the technical skill-training

curriculum described in chapter 5. This study is the largest of its kind in the surgical education

literature and was able to identify performance clusters while exploring the relationship between

clusters using non-parametric statistical tests. However, predictive modeling statistics or

analytics would be very useful for this research. Creating learning curve models with adequate

sensitivity and specificity to predict incoming trainees technical performance would require

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hundreds of participants and therefore was not feasible for this study. Therefore, to overcome the

inherent limitation of small sample sizes seen in surgical education, multicentre studies should be

encouraged. Furthermore, national surgical education databases are not available to researchers

in the field, further limiting the ability to aggregate national data over many years. Multicentre

studies may also help with this limitation.

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C8

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162

that incorporating both basic open and laparoscopic tasks would be appropriate for incoming

trainees. Therefore, open and laparoscopic technical skills were incorporated into the next study.

The next study was designed to determine whether examining learning curves of simulated

technical tasks over a one-month practice period would differentiate technical aptitude between

students. It was hypothesized that medical students would display similar learning curves for

disparate basic laparoscopic and open surgical skills, and that these will be correlated with their

potential to reach proficiency in subsequent, more complex technical tasks. The results proved

the hypothesis to be partly true. Four distinct learning curve clusters were identified. Cluster 1

selected students who demonstrated strong innate ability and were able to effortlessly learn all

the technical skills, reaching competence quickly. Cluster 2 students were called high performers

because they all eventually reached competence in all tasks but took slightly more time then their

cluster 1 peers. Cluster 3 students were moderate performers and demonstrated difficulty,

reaching proficiency in the more complex laparoscopic tasks. Cluster 4 individuals were unable

to reach technical competence in 4 of 5 tasks including all laparoscopic tasks.

On examining the learning curves, it became apparent that cluster 1 and 2 had strong innate

ability when compared to cluster 3 and 4 students. Furthermore, cluster 3 and 4 individuals did

not catch up to their peers in cluster 1 and 2 over the training period, and demonstrated a

continued disadvantage. However, when comparing the groups, cluster 3 individuals

demonstrated somewhat stable performance below the competency threshold whereas cluster 4

individuals demonstrated large variability throughout their learning curves with no progression

towards a plateau phase. Therefore, it was concluded from this study that learning curve clusters

could be used as a screening tool to identify trainees with different levels of innate ability.

Furthermore, screening for cluster 4 individuals should be considered due to their poor innate

ability, inability to reach the proficiency threshold and variable unstable performance over the

full durations of their learning curve.

In the final study, it was hypothesized that MP aimed at teaching the visual and kinesthetic cues

for the crucial operative steps in a laparoscopic jejunojenunostomy (JJ), as well as for the

management of adverse situations, improves surgical technical and non-technical performance

and decreases stress levels experienced by the surgeon. Mental practice significantly improved

advanced laparoscopic technical skill in the interventional group. Counter to the hypothesis,

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163

however, MP was not associated with differences in stress levels or improvement in non-

technical skills in the simulated crisis scenario.

Overall this thesis has proposed a selection curriculum from incoming trainees to assess

technical skill ability by assessing learning curves and demonstrated the effectiveness of MP as

an adjunct to technical performance in senior surgical trainees.

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C9

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Another novel area of future research may be in video machine learning. This is a field gaining

momentum in computer programing and data science. The concept that a computer can be

programed to interpret video and differentiate good and bad behaviors is fascinating and yet to

be investigated in surgical education. Therefore, collaboration between video data scientists and

surgeons may serve fruitful in working towards computer video assessments. If computers were

able to reliably assess performance this would eliminate bias and human fatigue and promote

sustainable intraoperative assessment.

Using these methods will allow students who have been assigned a performance cluster to be

followed over time to assess whether their learning curve established during medical school is

indicative of intraoperative performance during training.

9.1.2 Establish assessment measures of non-technical competencies

The work in this thesis focuses on technical performance. However, the technical performance of

a surgeon is only one component of being a surgeon. Moreover, as demonstrated by the Delphi

consensus questionnaire, various non-technical skills such as work ethic and passion for surgery

were perceived as highly important by PDs. Furthermore, the Royal College of Physicians and

Surgeons has clearly outlined seven roles in which each physician should strive to achieve

competency during their training. These include the medical expert, communicator, collaborator,

leader, health advocate, scholar and professional roles (("CanMEDS 2015: The next evolution of

the CanMEDS Framework," 2013)). Investigating methods that assess attributes that are directly

linked to these competencies is an essential step in all phases of training. Unfortunately, many of

these attributes are difficult to measure using quantitative methodologies. Therefore qualitative

or mixed method techniques may be more appropriate in understanding how to best assess these

non-technical skills and how to incorporate them into our current selection process.

9.1.3 Quantifying mental practice objectively and transferring this techniques

into the real operating room

Mental practice proved to be a successful adjunct to technical skills training within the simulated

operating room even with added stress. Two areas of future research include translating this

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166

technique into the real operating room, and quantifying MP using electroencephalograms (EEG)

or functional magnetic resonance imaging (fMRI) for laparoscopic surgery.

The difficulty with studying the effect of MP on technical skill in the real operating room is

isolating this intervention from the numerous confounders that may also affect technical

performance. Firstly, each patient has anatomical differences that can make the same operation

technically more or less challenging. Secondly, the operating room environment and personal

that work within the OR may also change, which theoretically could also alter technical

performance. Finally, fortunately adverse events are rare, and therefore measuring performance

with respect to a direct stress is not feasible in the real operating room. However, there are

validated metrics to adjust technical skill performance scores to account for case difficulty that

could be incorporated during the assessment to control for some of these factors. Furthermore,

selecting an advanced surgical technique that is very standardized, such as Roux-en-y by pass

may also improve the feasibility of translating this technique into the operating room.

Another area of future research may be to measuring MP directly using functional neuroimaging

modalities that record brain activity noninvasively, such as EEG or fMRI. Within laparoscopic

surgery the use of MP has been quantified using validated questionnaires (e.g. MIQ), which are

subjective in nature and therefore are prone to bias. However, authors have described using

modalities such as EEG or fMRI to assess the use of mental imagery in real-time. The use of

these modalities in the context of assessing surgeon performance during real or simulated

surgical scenarios is in its infancy and has only been assessed in microsurgery but never in

laparoscopy (Ros et al., 2009; Wanzel et al., 2007). Therefore, future studies may consider using

these direct measures to assess whether mental imagery has improved between groups.

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Copyright Acknowledgements

Chapter 2 (section 2.3.2)

Wolters Kluwer Health Lippincott Williams & Wilkins grants the authors permission to reuse

their full-text article free of charge (non-commercial/ non-for-profit purposes) for the purpose of

reuse in a dissertation.

Louridas M, Szasz P, de Montbrun S, Harris KA, Grantcharov T. Can we predict technical

aptitude? A systematic review. Ann Surg. 2015 June 15

Copyright (C) 2016 Wolters Kluwer Health, Inc. All rights reserved.

The final publication is available at:

http://journals.lww.com/annalsofsurgery/pages/articleviewer.aspx?year=9000&issue=00000&art

icle=97346&type=abstract

Chapter 3

Copyright permission from Springer Science+Business Media

Louridas M, Quinn E, Grantcharov TP. Predictive value of background experiences and visual

spatial ability testing on laparoscopic baseline performance among residents entering

postgraduate surgical training. Surg Endo.2015 June 20.

Published online 20 June 2015 © springer Science+Business Media New York 2013.

The final publication is available at:

http://link.springer.com.myaccess.library.utoronto.ca/article/10.1007%2Fs00464-015-4313-8

Chapter 6

Copyright permission form the British Journal of Surgery through John Wiley and Sons states:

A. The following rules apply to all Users:

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Louridas M, Bonrath EM, Sinclair DA, Dedy NJ, Grantcharov TP. Mental practice to enhance

advanced laparoscopic surgical performance in the operating room: a randomized controlled

trial. Br J Surg. 2015 Jan;102(1):37-44.

© 2014 BJS Society Ltd. Published by John Wiley & Sons Ltd

Original full- text article available at: http://www.bjs.co.uk/details/article/7095621/Randomized-

clinical-trial-to-evaluate-mental-practice-in-enhancing-advanced-lapa.html

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