Title: Improving Patient Safety by Reducing Medication Errors
1Improving Patient Safetyby Reducing Medication
Errors
- Brian L. Strom, M.D., M.P.H.
- Professor of Biostatistics and Epidemiology
- Center for Clinical Epidemiology and
Biostatistics - University of Pennsylvania School of Medicine
2Improving Patient Safetyby Reducing Medication
Errors
- Background
- Patient Safety
- Institutional Context
- Theme
- Overall Approach
- Four Specific Projects
3Improving Patient Safetyby Reducing Medication
Errors
- Background
- Patient Safety
- Institutional Context
- Theme
- Overall Approach
- Four Specific Projects
4Background
- Patient Safety
- Institutional Context
5Background Patient Safety
- Patient Safety and Medical Errors
- The Culture of Medical Practice, Root Causes, and
Predisposing Factors - Risks Associated With the Use of Drugs
- Medication Errors
- The Elderly at Risk
- Drug Class of Risk
- Determinants of Physician Prescribing Errors
- Patient Adherence and Medication Errors
- Technological and Other Innovations
6Patient Safety and Medical Errors
- Iatrogenic injuries up to 180,000 US deaths each
year, and disability or prolongation of hospital
stay in another 1.3 million - Medical errors 44,000-98,000 annual deaths, more
than MVA, breast cancer, or HIV - Medical errors annual costs of 17-29 billion
7Definitions
- Patient safety freedom from accidental injury
ensuring patient safety involves the
establishment of operational systems and
processes that minimize the likelihood of errors
and maximize the likelihood of intercepting them
when they occur - Adverse event an injury resulting from a
medical intervention - An error failure of a planned action to be
completed as intended or use of a wrong plan to
achieve an aim the accumulation of errors
results in accidents
8Philosophy To Err is Human Building a Safer
Health System
- Even apparently single events or errors are due
most often to the convergence of multiple
contributing factors - Preventing errors and improving safety for
patients requires a systems approach in order to
modify the conditions that contribute to errors - The problem is not bad people the problem is
that the system needs to be made safer. - Concern is not about substandard or negligent
care, but rather, errors made by even the best
trained, brightest, and most competent
professional health caregivers and/or patients
9The Culture of Medical Practice,Root Causes, and
Predisposing Factors
- Historically
- Perfectionism, stoicism, and an expectation that
practitioners should function without error - Errors considered a failure of character, and
admitted or discussed rarely - JCAHO concept of root cause faulted for implying
that a single factor can be identified as cause
10The Culture of Medical Practice,Root Causes, and
Predisposing Factors
- Instead, a systems approach
- Examines interdependent elements interacting to
achieve a common aim, thus focuses on both human
and non-human elements - Investigates the interrelationships between
humans, the tools they use, and their environment
11Risks Associated With the Use of Drugs
- Adverse drug events are the most common
iatrogenic causes of patient injuries
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13Risks Associated With the Use of Drugs
- Type A reactions are the result of an exaggerated
but otherwise usual pharmacological effect of the
drug - dose-related, predictable, less serious, common
- patients receiving more drug than customarily
required, a conventional amount but metabolize or
excrete the drug unusually slowly, on an
additional drug which interferes with excretion
or metabolism, or are overly sensitive to the
drug - In principle, these factors all are predictable
and thereby potentially preventable - These complications could all be considered
medication errors
14Risks Associated With the Use of Drugs
- Type B reactions are aberrant effects
- Uncommon, not related to dose, potentially more
serious, but unpredictable - May be due to hypersensitivity reactions or
immunologic reactions, or some other
idiosyncratic reaction to the drug, either due to
some inherited susceptibility or some other
factor - Most difficult to predict
- Yet, historically have represented the major
focus of commercial and regulatory interest, and
thereby the major focus of pharmacoepidemiology
studies of adverse drug reactions
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16Medication Errors
- Adverse drug event (ADE) is an injury resulting
from a drug - Between 2.4 and 6.5 of hospitalized pts
estimated to have ADEs, prolonging hospital stays
by an average of two days and increase costs by
2,000-2,600 per pt - More than 7,000 deaths were attributed to
medication error in the US in 1993 - Med errors are highly preventable
17Medication Errors
- Of 10,070 med orders
- 530 med errors were identified
- 25 ADEs 35 potential ADEs
- Five (20) of the ADEs associated with medication
errors all preventable - Although medication errors are common, relatively
few result in ADEs - Targeting those errors that are most likely to
cause ADEs will have the greatest public health
impact
18Medication Use Process
- Diagnosis
- Prescribing
- Dispensing
- Administration
- Ingestion
- Monitoring and control
19The Elderly at Risk
- Rates of ADEs rise with age
- Incidence of adverse events in pts aged gt65
almost twice as high as in younger patients - Incidence of preventable adverse events in pts
aged gt 65 almost twice as high as in younger
patients - Percentage of ADEs due to negligence markedly
higher among elderly - In the outpatient elderly population, almost a
quarter have received at least 1 of 20
contraindicated drugs a fifth had received two
or more such drugs
20Drug Class of Risk
- Hospital data
- ADEs analgesics, antibiotics, anticoagulants
- Med errors antimicrobials, cardiovascular
agents, gastrointestinal agents, non-narcotic
analgesics and antipyretics - USP MedMARx program warfarin, insulin, heparin,
cefazolin, vancomycin, lorazepam, potassium
chloride, meperidine, furosemide, and famotidine - 41 of 100 consultations for nephrotoxicity were
iatrogenic, half drug-induced 7 from
antibiotics, 5 from diuretics, 4 from NSAIDs, 3
from ACE inhibitors, and 1 from a contrast medium
21Selected Determinants of PhysicianPrescribing
Errors
- Lack of patient practitioner edn/training
- Incomplete patient information
- Lack of information resources available to
prescribing docs dispensing pharmacists - Reliance on error-prone manual checks for
drug-drug interactions - Multiple and changing formularies
- Lack of access to widely disbursed pt data
- Commercial influences
- Time constraints and interruptions
22Patient Adherence and Medication Errors
- In ambulatory setting, the pts role is key
- Nearly 3 billion new and repeat prescriptions are
filled in the ambulatory setting in the US, an
increase of 50 in seven years - Estimates of the frequency of drug-related
hospital admissions have varied from 0.2 to 22
of all hospitalizations, with most studies
reporting figures between 3 and 10 - gt5 hospital admissions attributed to drugs, 23
induced by poor adherence - Meta-analysis of 7 studies and 2942 admissions
attributed 5.5 of admissions specifically to
drug therapy nonadherence, including over-use,
under-use, and erratic use of drugs
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25Technological and Other Innovations
- Process changes bar-coding colored wristbands
for allergies unit dosing computerized
physician order entry standardizing processes
such as doses, times, scales, prescription
writing, and rules automated dispensing devices
automated medication administrative records
computerized adverse drug event detection robots
for filling outpatient prescriptions etc. - Programs adding a pharmacist to patient-care
rounds, pharmacokinetic monitoring services, etc.
26Background
- Patient Safety
- Institutional Context
27Drug Use and Effects Program
- Adverse drug reaction reporting
- Drug usage evaluation
- Pharmacy cost containment
28Goals of the DUEC Program
- Improve the quality of patient care by improving
the clinical use of medications and minimizing
adverse drug reactions - Decrease hospital costs by eliminating the
inappropriate use of drugs or by offering
acceptable low cost substitutions - Decrease liability associated with the
inappropriate use of high risk drugs - Bring HUP into compliance with JCAHO requirements
- Contribute new methodology and new clinical
information to hospital pharmacoepidemiology
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30Targeted Surveillance
700
600
500
400
JCAHO
300
200
100
0
1986
1988
1990
1992
1994
1996
1998
ADE Reports
Radiology
Source DUEC Confidential / Peer Review Only
31- Adverse Drug Experiences - 1998
Serious/
Idiosyn
400
Mild/
350
ldiosyn
300
33
250
25
200
150
100
50
Mild/
Serious/
0
Dose
15
Dose
27
FDA Reports - 51
ADE 434
Source DUEC Confidential / Peer Review Only
32CPUP-DUE
- Starting in 1998, DUECs activities were extended
to CPUP, and outpatient practice
33July 1999-June 2000 DUEC DataTop Meds Resulting
in Reported ADRs (N608)
34July 1999-June 2000 DUEC DataTop Meds Resulting
in Serious ADRs (N301)
35July 1999-June 2000 DUEC DataTop Meds Resulting
in Admission (N148)
36July 1999-June 2000 DUEC DataMost Common ADRs
37Improving Patient Safetyby Reducing Medication
Errors
- Background
- Patient Safety
- Institutional Context
- Theme
- Overall Approach
- Four Specific Projects
38Improving Patient Safetyby Reducing Medication
Errors Theme
- AHRQ Center of Excellence for Patient Safety
Research and Practice - Theme Improving Patient Safety Through Reduction
of Errors in the Medication Use Process - PRIME Program for Reduction In Medication Errors
39Improving Patient Safetyby Reducing Medication
Errors
- Background
- Patient Safety
- Institutional Context
- Theme
- Overall Approach
- Four Specific Projects
40Overall Approach
- Entire range of places where errors can arise
- Select drugs with ubiquitous use, capacity to
lead to errors, and severity of the consequences
of errors - Include different settings and various
populations - Examine both human psychosocial factors and
technical system factors - Perform evaluations in sites prepared to rapidly
implement the studies findings, implementations
that could then be evaluated in future studies - Take advantage of local versions of existing
systems, to evaluate those characteristics which
protect against errors, and those which do not
41Improving Patient Safetyby Reducing Medication
ErrorsOverall Organization
- Four projects
- Four cores
- Administrative Core
- Data Collection Core
- Biostatistics and Data Management Core
- Dissemination Core
42Improving Patient Safetyby Reducing Medication
Errors
- Background
- Patient Safety
- Institutional Context
- Theme
- Overall Approach
- Four Specific Projects
43Project 1 Medication Errors LeadingTo
Hospitalization Among The Elderly(Joshua Metlay,
MD, PhD--PI)
- To identify predisposing factors for
hospitalizations due to errors in medication use
among large, representative cohorts of
community-dwelling elderly patients initiated or
maintained on warfarin, phenytoin, or digoxin - To develop a prediction rule to identify elderly
patients at high risk for hospitalization due to
errors in use of these drugs - To estimate the costs associated with
hospitalization due to errors in use of these
drugs
44Project 1 Study Design
- Prospective cohort study enrolling members of
PACE - Five cohort studies new and chronic users of
phenytoin, new users of warfarin, chronic users
of warfarin, new users of digoxin, and chronic
users of digoxin - Baseline interviews to identify psychosocial,
behavioral, clinical risk factors - Coordination of medical and pharmaceutical care,
existence of methods for communicating
instructions for new medications, level of home
support, and level of visual and cognitive
function
45Project 1 Outcomes
- Outcome of interest hospitalization due to
dose-related errors in medication use - Regular subject phone contact using a screening
instrument to identify all hospitalizations and
exclude those unlikely to be medication related - Medical records abstracted to confirm the nature
of the hospitalization, timing in relation to
drug use, and drug level at admission - Drug-specific analyses identifying predisposing
factors for hospitalization, and developing a
prediction rule to identify subjects at high risk
of hospitalization due to medication errors
46Project 2 Predictors for PoorAdherence to
Warfarin Therapy(Stephen Kimmel, MD, MSCE--PI)
- To determine the clinical, demographic,
organizational, behavioral, and psychosocial
predictors of poor adherence - To develop a predictive index that can identify
patients at high risk for medication errors
before starting therapy
47Project 2 Study Design
- Prospective cohort design, enrolling adult
patients requiring warfarin who are treated at
the outpatient pharmacist-managed HUP
Anticoagulation Clinic (AC) - Patients presenting to the AC clinic will be
identified at the start of therapy and followed
throughout their course - An addition to a funded NIH study designed to
examine the effects of genetic polymorphisms and
adherence on clinical outcomes (INR levels,
bleeding, and thromboembolism)
48Project 2 Data Collection
- Data collection 1) demographics, 2) clinical
characteristics, 3) health-care structure
characteristics, 4) pill taking practices, 5)
psychosocial variables, 6) study outcomes - The primary outcome is adherence, to be measured
using an electronic data monitoring system
49Project 3 Inpatient Medication ErrorsLeading to
Acute Renal Failure(Harold Feldman, MD, MSCE--PI)
- Explore the predisposing factors for
inappropriate inpatient aminoglycoside dosing
that leads to acute renal failure, examining - The failure to use pharmacokinetic monitoring
- Delays in initiating pharmacokinetic monitoring
- Failure to implement recommendations from the
pharmacokinetic monitoring service - Pharmacokinetic monitoring service
characteristics/procedures systems
50Project 3 Inpatient Medication ErrorsLeading to
Acute Renal Failure
- Secondary aims are to identify other potentially
modifiable predisposing factors for acute renal
failure among patients receiving aminoglycoside
antibiotics, including - Systems to assure interactions with nursing and
pharmacy to avoid drug errors, supervision on the
teaching service, etc. - Type of clinical service
- Other potentially modifiable predisposing factors
for acute renal failure among pts receiving
aminoglycosides
51Project 3 Study Design
- Hospital-based case-control study nested within a
cohort of HUP patients receiving aminoglycosides - Cases of ARF occurring among patients receiving
aminoglycoside antibiotics will be identified by
DUEC, and compared to controls selected randomly
who are not experiencing ARF - Data collection structured review of medical
records and evaluation of their interaction with
the pharmacokinetic monitoring service prior to
the occurrence of ARF for the cases, or during an
analogous exposure time for controls
52Project 4 Medication ErrorsRelated to Workplace
Stressors(Ross Koppel, PhD--PI)
- To determine if, and to what extent, the
organization of work within a hospital, e.g.,
schedules, shifts, workloads, etc., affects
houseofficers commission of medication errors - To determine if houseofficers experience of
workplace stress (the cognitive, behavioral,
physiological, and psychological experience of
stress--called strains) increase the risk of
medication errors
53Project 4 Medication ErrorsRelated to Workplace
Stressors
- To determine how hospital workplace stressors
interact with houseofficers strains to influence
the risk of medication errors - To determine how hospital workplace stressors and
strains interact with houseofficers baseline
psychological profiles to influence the risk of
medication errors
54Project 4 Study Design
- A series of cross sectional studies
- Data collection 1) analysis of houseofficers
workloads, shifts, and schedule data from
hospitals 2) surveys administered to
houseofficers at several points in their training
about workplace stressors and the personal
experiences of stress (strain) 3) one-on-one
interviews about workplace organization and
stressors 4) focus groups on this topic and 5)
an annual psychometric personality inventory
55Project 4 Outcomes
- The near misses for medication errors detected
by the DUEC-supervised Pharmacy Intervention
Program - In particular, each houseofficer will be
evaluated for the numbers of HUP interventions
required by their prescriptions, using the number
of HUP inpatient prescription orders they have
written as the denominator
56Improving Patient Safety By ReducingMedication
Errors Overall Goal
- To improve patient safety by identifying the
factors that predispose to medication errors, and
to create a research base for the design of
interventions to reduce the frequency of
medication errors
57PRIME Project/Core PIs
- Project 1 Josh Metlay, MD, PhD
- Project 2 Stephen Kimmel, MD, MSCE
- Project 3 Harold Feldman, MD, MSCE
- Project 4 Ross Koppel, PhD
- Core A Brian Strom, MD, MPH
- Core B Brian Strom, MD, MPH
- Core C Russell Localio, JD, MS
- Core D David Asch, MD, MBA
58PRIME Other Investigators