Defining away threats to patient safety: A study of the classification of medication errors in three hospitals - PowerPoint PPT Presentation

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Defining away threats to patient safety: A study of the classification of medication errors in three hospitals

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(Pharmacy management team member) * Pharmacy Error Definition: ... Errors do not pose an immediate threat, because they were caught and corrected. – PowerPoint PPT presentation

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Title: Defining away threats to patient safety: A study of the classification of medication errors in three hospitals


1
Defining away threats to patient safety A
study of the classification of medication errors
in three hospitals
  • Michal Tamuz, Ph.D.

AHRQ grant 1PO1HS1154401/3.08
2
Medication Errors
  • Preventable medical errors 8th most common cause
    of injury in U.S.
  • Errors resulting in adverse drug events
  • Common
  • Morbidity and Mortality
  • Pervasive
  • Costly
  • (Institute of Medicine, 2000, 2006)

3
Institute of Medicine To Err is Human
  • Create a learning environment
  • Implement mechanisms offeedback and learning
    from error
  • (Institute of Medicine, 2000)

4
Organizational Learning
  • Process in which decision makers weigh past
    experience as a basis for changing the routines
    that guide future behavior
  • (March, 1999 Levitt March, 1988)

5
Interpreting Experience
  • How do organizations and their members
    interpret their past experience?
  • Event ClassificationReflects and encodes
    the interpretation of experience

6
Research Questions
  • Aviation Safety Surveillance Systems
  • How does event classification influence
    information gathering?
  • Do individuals and organizations define away
    dangers?
  • How does event classification affect the capacity
    for organizational learning?
  • Tamuz (2001a, 2001b)

7
How does event classification influence
information gathering?
  • Individuals and organizations
  • define away dangers.
  • Decision makers avoid reporting potentially
    dangerous events by classifying them in
    non-reportable categories.

8
Event Classification
  • Decision making
  • Organizational memory(Bowker Star,1999)
  • Available information (Arrow, 1973)
  • Routines
  • Classification triggers alternative
    organizational routines (March Simon. 1958
    Dutton Jackson, 1987)

9
Qualitative Research Methods Overview
  • Data Collection
  • Conducted extensive semi-structured interviews
    with healthcare providers and administrators
  • Supplemented interviews
  • Observing routine activities
  • Gathering documents
  • Data Analysis
  • Analyzed interview transcripts for themes
  • Research questions guided data analysis
  • Analysis identified emerging themes
  • Identified exemplars that illustrate themes

10
Qualitative Research Methods Overview
  • Goals
  • Build conceptual framework
  • Offer practitioners new perspectives
  • Raise practical and policy questions

11
Qualitative Research Methods Sample
  • Longitudinal study Part 1
  • 3 tertiary care hospitals (no CPOE)
  • Purposeful random sampling (Patton, 2002)
  • 341 healthcare providers administrators
  • 141 Pharmacists
  • 141 Nurses and support staff
  • 28 Physicians
  • 31 administrators

12
Results Exemplars
  • Pharmacy Error Definition
  • NursingExternal Review Committee

13
First Exemplar
  • Pharmacy
  • Error Definition

14
Pharmacy Error Definition
  • If caught outside hospital pharmacy defined as
    reportable incident
  • If caught within pharmacy non-event
  • (Tamuz, Thomas, and Franchois, 2004)

15
Pharmacy Error DefinitionDefining away dangers
  • It makes a difference where it was detected,
    because if it was in the pharmacy, typically,
    its considered a near miss. Its not
    reported. Its fixed. Its when it leaves the
    pharmacy that it starts becoming an error.
  • (Pharmacy management team member)

16
Pharmacy Error Definition Defining away dangers
  • Sensible for maintaining bureaucratic
    accountability
  • Problematic for identifying sources of potential
    problems

17
Pharmacy Error Definition Event classification
influences organizational learning
  • Problematic for organizational learning on
    hospital level
  • Underreporting Loss of data to hospital
  • Underestimate errors
  • Reduce opportunities for early detection

18
Pharmacy Error Definition Event classification
influences organizational learning
  • Data used for organizational learning within
    pharmacy
  • Reduced stigma
  • Formal Research projects
  • Informal Pharmacists send group emails

19
Second Exemplar
  • NursingExternal Review Committee

20
Nursing External Review Committee
  • External Review Committee (ERC)
  • Individual accountabilityNurses reported to ERC
    subject to disciplinary measures
  • Specific definitionErrors 1 major, 3 minor
  • Mandatory reporting

21
Nursing ERC
  • Because I don't think there's anything
    really clearly spelled out. I mean, there's not a
    policy that says, "If this happens, this is a
    minor, you must do this if this happens, it's a
    major, you must do this.
  • So it's kind of left up to you as a
    leadership team to decide how areyou gonna
    handle these situationsand what are you gonna do?

22
Nursing ERC
  • It depends on the circumstances surrounding
    it. It depends on the significance of the
    error.It depends on a lot of things, a lot of
    factors.
  • (Nurse management team member)

23
Nursing ERC
System-based Guideline Could anybody do this?
Could it happen again? I saw that as a system
problem, not an individual problem and I
responded to it systematically. (Nurse management
team member)
24
Nursing ERC Defining Away Dangers
  • Classifying events as non-reportable
  • Implications
  • Nurse management teams adhere to reporting
    requirements
  • Nurses not reported to ERC
  • Buffers nurses from misguided ERC policy

25
Nursing ERC Event classification influences
organizational learning
  • Unit Information available among team members
    and learning possible
  • Among nursing unitsNo systematic sharing
  • Hospital Precludes organizational learning

26
National Health Policy Implications
  • Standardization of definitions (Institute of
    Medicine 2003)
  • Patient Safety Organizations
  • Obstacles to pooling data across hospitalsLocal
    interpretation

27
Policy Questions
  • Financial Disincentives for Never Events
  • Centers for Medicare and Medicaid Services (CMS)
  • Financial disincentives Withhold payment for
    never events
  • Never events
  • Clearly identifiable
  • Measurable

28
Policy Questions Future Research
  • Clearly identifiable and measurable categories
  • Linked to financial disincentives
  • Hypothesis Defining away dangers
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