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Patient Safety & Medical Error Dr. Nick SevdalisClinical Safety Research Unit, Imperial CollegeNational Patient Safety Agency
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1. Some terminology Adverse event: injury suffered as a result of
treatment or hospitalisation
Other terms: iatrogenic injury, critical incident, sentinel event, patient safety incident etc
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Incidence: the early years
“…the actual mortality in hospitals…is very much higher than the mortality of the same class of diseases treated outside hospitals”
Florence Nightingale
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Incidence: the last 15 years Epidemiology of error Retrospective record reviews
USA (1991): 3.7% of hospital admissions suffered an adverse event
Australia (1999): 16.6% Denmark (2001): 9% New Zealand (2002): 12.9% Canada (2004): 7.5%
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Incidence: UK Retrospective record review
Vincent et al 2001: 10.8%-11.7%
Voluntary reporting system National Reporting & Learning System (2005): 4.9%
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Consequences: the patient Vincent et al. 1994
“While under anaesthetic they apparently cut a blood vessel in my womb, which led to severe haemorrhage … could only be stopped by giving me a hysterectomy so they say”
“A swelling on my cheek was diagnosed as a malignant tumour and part of my jaw and extensive tissue was removed without my consent. The lab. test showed that it was not a tumour, malignant or benign”
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Consequences: the doctor Christensen 1992
“I was really shaken. My whole feeling of self worth and ability was basically profoundly shaken”
“I was appalled and devastated that I had done this to somebody”
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Consequences: the NHS Vincent et al 2001
119 adverse events 999 extra bed days £290,268 extra costs for the Trusts
An Organisation with a Memory 2001 10,000 reported serious adverse drug reactions NHS pays £400 million in litigation Hospital acquired infections cost nearly £1billion
and 15% are regarded as preventable
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Conclusion
“The medical establishment has become a major threat to health”
Ivan Illich
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2. Definition of error Reason 1992
Failure of achieving the intended outcome in a planned sequence of mental or physical activities not attributable to chance
Error
Slip
correct plan, incorrect execution
Mistake
incorrect plan, correct execution
Violation: deliberate deviation from safe rule
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The person or the system?
The system model
The person model
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Error in the system (i) James Reason
© J. Reason
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Error in the system (ii) James Reason
© J. Reason
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Error in the system (iii) Zhang et al. 2004
Individual Team Organisation National regulations
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Example: error OF a surgeon…
Patient Risk
FactorsOutcomeTechnical skills
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…vs error IN surgery Vincent et al. 2005
Patient Risk
Factors
Individual skills (motor, cognitive etc.)
Teamwork & communication
Operative environment & procedures
Outcome
National regulations
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3. Surgery Multi-disciplinary team
Surgeon, Anaesthetist, Nurse ODA, Scrub Nurse, Circulating Nurse
Emergency or elective
Process Called from ward Put to sleep operation
recovery return to ward (discharge)
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Individual skills: decision-making Aims:
What does the decision-making process look like? Can we assess it reliably?
Methods: Management of patients with symptomatic
gallstone disease Interviews with 10 experienced surgeons Content-analysed by two reviewers
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Decision map
Average = 15.5 decisions/interview
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Cue utilisation Risk of conversion of a closed (i.e., key-hole)
cholecystectomy to an open one Methods: judgement analysis
Actual risk of conversion
Surgeon
observer
Cues
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Results (ii)Participant R2 Cues
1 0.758 Previous surgery, Biliary history, Age/co-morbidity
2 0.733 Biliary history, Previous surgery, Obesity
3 0.364 Previous surgery, Biliary history, Age/co-morbidity
4 0.650 Previous surgery, Biliary history, Obesity
5 0.603 Previous surgery, Biliary history, Race
6 0.388 Biliary history
7 0.613 Previous surgery, Biliary history, Age/co-morbidity
8 0.501 Previous surgery, Biliary history, Age/co-morbidity
9 0.434 Previous surgery, Biliary history
10 0.673 Previous surgery, Biliary history
11 0.397 Previous surgery, Age/co-morbidity, Obesity
12 0.649 Previous surgery, Biliary history
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Results (iii)
Spread of Beta weights for each cue
-0.2
0
0.2
0.4
0.6
0.8
1
Cue
Sta
nd
ard
ized
Bet
a w
eig
ht 1
2
3
4
5
6
7
8
9
10
11
12
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Teamwork Aims: Can we apply a model of surgical teamwork to the
surgical team? Tasks: Equipment, Patient, Communication Behaviours: Communication, Co-operation, Co-ordination, Leadership,
Monitoring/Awareness
Methods 50 general surgery and 50 urology procedures 3 operative stages (pre, intra-, and post-operative)
Task completion rates Behaviour ratings
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Results (i)Task Pre-op Op Post-op
Surg Urol Surg Urol Surg Urol
Equip 56% 61% 82% 91% 89% 95%
Comm 61% 71% 55% 57% 90% 84%
Patient 90% 94% 93% 93% 97% 92%
Overall 69% 77% 77% 80% 92% 90%
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Results (ii) Observed behaviours
1
2
3
4
5
6
communication coordination leadership monitoring cooperation
rati
ng
sc
ale
pre intra post
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Operative environment Operative environment:
Physical features Human element: distractions, interruptions
Aims: Can we observe the distractions/interruptions that occur during a typical procedure?
Methods 50 general surgery procedures Distraction types
Door openings, auditory, visual, operational
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Results (i)Absolute frequency of interference = 663 (13.26/operation)
Mean frequency of door opening during operations as a proportion of OP stage duration
0
0.25
0.5
0.75
1
OP1 OP2 OP3
Stage of operation
Fre
qu
en
cy p
er
min
ute
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Results (ii) Case-irrelevant communications (N = 167)
05
101520253035404550
ab
so
lute
fre
qu
en
cy
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National regulations 27 different crash call numbers in UK
hospitals (!)
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Conclusion: Error in the surgical system
Individual Team Organisation National regulations
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4. Conclusions Medical errors occur
Medical errors are costly
We are starting to understand their milieu Physical Human
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Future Basic research
Put some more flesh on the systems view of error Interdisciplinarity Funding: medium- to long-term projects
Interventions Common sense
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Thank you for your attention!
Questions, comments?