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The Effects of Information Technology on Nurses and
Patients in the VHA
Joanne Spetz, Ph.D.University of California, San Francisco
Ciaran Phibbs, Ph.D. VA Health Economics Resource Center
James Burgess, Ph.D.Boston VA
AcademyHealth Annual Research MeetingJune 2008
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Background The VA is the largest integrated health
system in the US The VA is the largest installation of an
integrated IT system in the US Computerized Patient Records System (CPRS) Bar Code Medication Administration (BCMA)
The VA did not have a system-wide evaluation of CPRS or BCMA
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This study
Quantitative and qualitative methods Research questions
Did CPRS and BCMA change the need for nursing staff? Did CPRS and BCMA reduce adverse events for patients
in the VHA? What do staff and leaders believe are the strengths and
weaknesses of CPRS and BCMA? What recommendations can be made to the VA and other
hospitals as they implement information systems?
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Methods Quantitative analysis
Retrospective, by necessity Pre-post design – implementation dates varied across
sites Administrative data: patient discharge data, payroll
data, etc. Qualitative analysis
Key informant interviews at 8 sites 130 interviews Thematic analysis
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Variation in CPRS implementation initiation
05
1015
20F
requ
ency
1995 Q1 1996 Q1 1997 Q1 1998 Q1 1999 Q1 2000 Q1 2001 Q1 2002 Q1cprs_qtr
Some sites did not begin until 2002
6
010
2030
Nu
mbe
r o
f sta
tions
0 10 20 30 40gapcprs_qtr
Variation in time to fully implement CPRS
Some sites took more than one year to fully implement
7
010
2030
40F
requ
ency
1997 Q11998 Q11999 Q12000 Q12001 Q12002 Q12003 Q12004 Q12005 Q1bcmaacute_qtr
Variation in BCMA implementation initiation – acute wards
Some sites did not begin until 2002
Most sites began in Q2 of 2000
8
020
4060
Nu
mbe
r o
f sta
tions
0 2 4 6 8 10gapbcmaacute_qtr
Variation in time to fully implement BCMA in acute wards
Some sites took more than one year to fully implement
9
05
1015
20F
requ
ency
1997 Q11998 Q11999 Q12000 Q12001 Q12002 Q12003 Q12004 Q12005 Q1bcmaicu_qtr
Variation in BCMA implementation initiation – intensive care
Version 2 implementers
Version 1 implementers
10
020
4060
Nu
mbe
r o
f sta
tions
0 5 10 15gapbcmaicu_qtr
Variation in time to fully implement BCMA in ICU
Some sites took more than one year to fully implement
Most sites went “whole hog” in ICU
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Perspectives from the interviews
The cultural change caused by CPRS and BCMA was enormous CPRS changed “how we organize, document, and
communicate regarding patient care” With BCMA, “all touchpoints of care were
changed” Some staff observed a change from primary care
nursing to team nursing
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Perspectives from the interviews Many staff think IT takes them away from
direct patient care BCMA “ground production to a halt”, according to
one nurse Some nurses think BCMA saves time, many think it
takes no more time Some staff think CPRS forces them to care for the
computer more than patients Most agree it takes more time to enter data Time savings are gained from data retrieval
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Perspectives from the interviews
Most staff believe quality of care improved CPRS: quality of medical record, ease of getting
information CPRS impacted outpatient care more – clinical
reminders, integrated records BCMA: medication error rates dropped
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Specific outcomes AHRQ Inpatient Quality Indicators: mortality
CABG mortality AMI mortaltiy CHF mortality Acute stroke mortality GI hemorrhage mortality Pneumonia mortality PTCA mortality
AHRQ Patient Safety Indicators Decubitus ulcer Failure to rescue Selected infections due to medical care Post-operative respiratory failure Post-operative PE/DVT Post-operative sepsis Accidental puncture or laceration
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Method for patient outcomes Estimation approach: linear regression with quarterly data Explanatory variables
Time dummies (sensitivity analysis with time trend) Patient days (quadratic) Casemix (based on DRGs) Percent of patients 70 years and older Percent of patient days in ICU FTEs per adjusted admission (all staff) (annual) Trainees per adjusted admission (annual) Median tenure of RNs Percent of RNs over 50 years old Percent of RNs with BSN or MSN Percent of RNs unionized
Fixed effects for each hospital, robust standard errors Can analyze different CPRS/BCMA effects
Initial implementation Full implementation 6 months after implementation began 12 months after implementation began
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CPRS results
IQI Outcomes Imp. start Imp. complete
CABG mortality -0.006 0.008
AMI mortality -0.010 0.0003
CHF mortality -0.005 -0.001
Stroke mortality -0.017 0.026**
GI hemorrhage mortality -0.006 0.002
Pneumonia mortality -0.023** 0.001
PTCA mortality 0.009 -0.0005
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CPRS results
PSI Outcomes Imp. start
Imp. complete
Decubitus ulcer 0.002 -0.0005
Failure to rescue 0.003 -0.007
Selected infections medical care -0.0003 0.0003*
Post-op respiratory failure 0.0006 -0.0004
Post-op PE/DVT -0.001 0.0008
Post-op sepsis -0.0006 -0.0002
Accidental puncture/ laceration 0.0003 0.001**
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Consistent findings for CPRS
Stroke mortality dropped in short-term, but long-term effect was neutral or positive
Pneumonia mortality declined significantly Effect occurred upon initial implementation Access to records of history of care may be most pertinent
to this mortality measure
Accidental puncture/laceration rates increased Effect developed in the 12-24 month period Does this reflect workflow or ergonomic issues?
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BCMA acute care results
IQI Outcomes Imp. start
Imp. complete
CABG mortality -0.055 0.010
AMI mortality -0.026 -0.001
CHF mortality 0.010 0.006
Stroke mortality 0.009 -0.019
GI hemorrhage mortality -0.019** 0.0007
Pneumonia mortality -0.005 -0.010
PTCA mortality 0.005 -0.010
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BCMA acute care results
PSI Outcomes Imp. start
Imp. complete
Decubitus ulcer -0.003* 0.002
Failure to rescue -0.013 -0.007
Selected infections medical care -0.0005** 0.0002
Post-op respiratory failure -0.001 0.002**
Post-op PE/DVT 0.001 -0.002
Post-op sepsis 0.00009 -0.0004
Accidental puncture/ laceration 0.00001 -0.00006
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BCMA ICU results
IQI Outcomes Imp. Start
12-month lag
CABG mortality 0.021 -0.019
AMI mortality -0.023** -0.005
CHF mortality 0.003 -0.004
Stroke mortality 0.005 -0.004
GI hemorrhage mortality -0.005 -0.009
Pneumonia mortality -0.003 -0.007
PTCA mortality 0.009 -0.014*
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BCMA ICU results
PSI Outcomes Imp. start
Imp. complete
Decubitus ulcer -0.002* 0.0005
Failure to rescue -0.003 -0.003
Selected infections medical care 0.00009 0.00005
Post-op respiratory failure 0.001 -0.001
Post-op PE/DVT -0.002** 0.0005
Post-op sepsis 0.0005 0.0008
Accidental puncture/ laceration 0.00009 -0.00002
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Consistent findings for BCMA
Acute care BCMA effects are inconsistent across models and often offset each other
ICU BCMA had more consistent effects AMI mortality declined Decubitus ulcer declined Post-op PE/DVT declined
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Three important take-home messages
Outcomes did not worsen Some CPRS and BCMA users feared the system
detracted from other key patient care issues Exception: accidental puncture/laceration
Some outcomes improved Medication errors not studied here
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Common experiences with both implementations Overall success depends on how the site and
implementation team plans for setbacks, and continues the process to achieve success in the end
When you have a large organizational deployment you need a very stable, fault-tolerant environment.
Staff needed more time to do their jobs during implementation, but no additional staff were allocated.
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Team & Funding Core team
Joanne Spetz, UCSF Ciaran Phibbs, VA HERC Jim Burgess, Boston VA Susan Schmidt, VA HERC Melanie Chan, Dennis Keane, and Jennifer
Kaiser, UCSF Funding
Robert Wood Johnson Foundation Gordon & Betty Moore Foundation