SICU Critical Care Safety Study

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    SICU Critical Care Safety Study - Presentation Transcript

    1. SICU Journal Club: The Critical Care Safety Study July 25, 2007 Christopher J. Utz, MD
      • Institute of Medicine report estimated medical errors cause 44,000-98,000 deaths each year
      • Critical care may incur higher rates of medical error
      • Critically ill patients may be more vulnerable to iatrogenic injury
      Background:
    2. Study Objectives
      • Primary: Determine the incidence and rates of adverse events and serious errors per 1000 patient-days
      • Secondary:
        • Categorize types of errors
        • Identify Human factors and system factors associated with errors
    3. Methods
      • Definitions
        • Adverse Event – any injury due to medical management, rather than the underlying disease
          • Nonpreventable adverse event – unavoidable injury due to appropriate medical care
          • Preventable adverse event – injury due to a nonintercepted serious error in medical care
        • Medical Error – failure of a planned action to be completed as intended or the use of a wrong plan to achieve an aim
          • Serious medical error – a medical error that causes harm (or injury) or has the potential to cause harm.
    4. Methods
      • Definitions
        • Adverse Event – any injury due to medical management, rather than the underlying disease
          • Nonpreventable adverse event – unavoidable injury due to appropriate medical care
          • Preventable adverse event – injury due to a nonintercepted serious error in medical care
        • Medical Error – failure of a planned action to be completed as intended or the use of a wrong plan to achieve an aim
          • Serious medical error – a medical error that causes harm (or injury) or has the potential to cause harm.
            • Intercepted serious error – serious medical error that is caught before reaching the patient
            • Nonintercepted serious error – serious medical error that reaches the patient but because of good fortune or because the patient had sufficient reserves to buffer the error, it did not cause clinically detectable harm.
    5. Methods
        • 10 beds each w/ closed attending model
        • Adult patients – boarders & patients with < 4 hour stay excluded
        • Patients followed until transfer, unit discharge, or death
      Patient population: MICU & CCU of 720 bed tertiary care hospital
    6. Methods
      • 4 pronged data collection:
        • Direct continuous observation of on-call interns both day and night by research physicians
          • Interns responsible for new admissions and entire unit overnight (on call Q 3 days)
          • Activities of interest – PE, order entry, teaching & work rounds, medical procedures, & interpretation of test results
        • Anonymous & formal incident reports
        • Computerized adverse drug event detection monitor
        • Chart review and abstraction by trained research nurses
      • Data Classification
        • 2 physician investigators independently classified each incident
        • Judged severity on 4-point scale (significant, severe, life-threatening, fatal)
        • Classified events as preventable or not preventable
        • Errors classified according to clinical activity (prevention, diagnosis, treatment, procedures, monitoring, & communicating clinical information)
        • Further classified by individual and system based factors
        • Rater disagreements resolved by discussion
      Methods
    7. Results Data collected during nine 3-wk periods (5 in MICU, 4 in CCU) Observed 391 patients 420 admissions 1490 patient-days Patient demographics are different between MICU and CCU
    8. Results
      • 120 Adverse events in 79 patients (20.2%) – rate of 81 adverse events/1000 pt-days
        • 6.4% of patients had multiple events
        • 45% of adverse events were judged to be preventable
      223 Serious errors – rate of 150 serious errors/1000 pt-days
    9. Results
      • 16 life-threatening and 2 fatal adverse events
        • Fatal events due to catheter-related bloodstream infections
      24 serious errors judged to be potentially life-threatening
    10. Results Incident Stats: Discovery of Adverse events & nonintercepted serious errors Patient’s nurse (36%) Another physician (27%) Clinical pharmacist (12%) Responsible physician (9%) Chart review (11%) Intercepted serious errors Patient’s nurse (42%) Another physician (23%) Clinical pharmacist (17%)
      • Majority of incidents occurred during routine care (91%) w/ far fewer
        • w/in 30 min of admission to the unit (4%) or
        • during an emergency intervention (2%)
    11. Results 56 (47%) of adverse events due to ADE including 19 preventable ADE’s Medications contributed to 78% of serious errors Medication errors most commonly associated w/ treatment (87%) Also associated w/ prevention, diagnosis, & monitoring
    12. Results Human & System Factors
      • Incidents due to errors most common during
        • treatments & procedures (75%) – particularly the ordering or execution of medications (61%)
        • reporting or communicating clinical info (14%)
        • failure to take precautions or follow protocol during preventive or diagnostic activities (11%)
        • failure to take precautions or follow protocol during treatment or procedure activities (8%)
      • Performance level failures judged as
        • Skill-based slips & lapses (53%)
        • knowledge-based mistakes (26%)
        • rule-based mistakes (5%)
      • Sterility hazards
        • failure to wash hands (51%)
        • failure to use complete cap, gown, & gloves (16%)
        • failure to properly use sterile drapes (6%)
        • sterile field violations (17%)
    13. Discussion Results comparable to prior MICU studies w/ similar definitions Error rates similar in MICU and CCU Most of the errors categorized as slips & lapses – failure to carry out intended plans of action Based on this study, the authors estimate that 148,000 life-threatening intercepted & nonintercepted serious errors occur annually in teaching hospitals
      • Authors focus on system-based changes as a means for error prevention
        • Computerized physician order entry
        • Bar-coded medication administration
    14. Discussion Study limitations Primarily studied interns May not be generalizable to ICU’s w/ markedly different patient populations May not be generalizable to non-teaching ICU’s
    15. Questions?
    16. Additional Info
    17.  
    18.  

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