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Physician Work, Workload, and Stress in the ED: Implications for Patient Safety

Physician Work, Workload, and Stress in the ED: Implications for Patient Safety. Dan France, Ph.D., MPH Scott Levin, B.S. 23 July 2004. Specific Aims. Characterize ED physician work and communication patterns in the presence of an advanced ED information system

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Physician Work, Workload, and Stress in the ED: Implications for Patient Safety

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  1. Physician Work, Workload, and Stress in the ED: Implications for Patient Safety Dan France, Ph.D., MPH Scott Levin, B.S. 23 July 2004

  2. Specific Aims • Characterize ED physician work and communication patterns in the presence of an advanced ED information system • Compare workload and stress in ED attending and resident physicians • Explore methods to quantify effects of system factors on provider and patient outcomes

  3. 115,000 110,000 105,000 100,000 95,000 90,000 85,000 80,000 75,000 1992 1993 1994 1995 1996 1997 1998 1999 2000 Emergency Medicine in U.S. How Many ED Visits? 1992 - 2000 Number of visits Number of visits (in thousands) (in thousands) 20% increase Source: National Center for Health Statistics, Source: National Center for Health Statistics, National Hospital Ambulatory Medical Care Survey, 1992 - 2000 National Hospital Ambulatory Medical Care Survey, 1992 - 2000

  4. Emergency Medicine in U.S.

  5. Background – Emergency Medicine • Complex, chaotic, interrupt-driven,… • Patient Safety: • 53% to 82% of ED adverse events (AE) are preventable compared to 27-51% for in-hospital AEs (Fordyce 2003), • Risk Management: • 43% of ED claims due to failures in team communication (Risser 1999) • Patient Satisfaction: • Ranks high for patient dissatisfaction/complaints (Taylor 2002)

  6. The Burden on Physicians • Residents experience stress and depression uniformly through training (Whitley 1991) • 25-60% of physicians surveyed felt burned out (Doan-Wiggins, Zautcke, etc 1995) • 22% of physicians thought they would practice beyond 50 (Losek 1994) • Stress may cause anxiety disorders (Laposa 2003) • Why? Intense clinical workload vs. inefficiencies in workflow, information flow, and communication

  7. Swiss Cheese Model Reason (1990): Human Error

  8. Artichoke Model Bogner (2004): Misadventures in Healthcare

  9. Performance Shaping Factors • Individual factors • Experience, training, physiological, psychological state • Task-related factors • Workload, vigilance • Equipment/Tools • Human-computer/device interaction • Interpersonal factors • Teamwork • Care environment factors • Facility design/layout • Organizational/Cultural factors

  10. A Systems Engineering Approach – “the Inner Ring” How do you adequately measure the “forces” acting on ED physicians from the physicians’ perspectives?

  11. “The Outer Ring” Approach Busy Boston Medical Center eases delays by keeping 'customers' moving Other hospitals have tried to cope with crowding by expanding the ER, only to find it doesn't solve the problem. “emergency room delays are a symptom of poor hospital management”

  12. Creating a Methodology • Study methods from other “high risk” industries and disciplines • Nuclear power, aviation, anesthesiology • Human factors, psychology, industrial engineer • Call your friends • Medicine and Biomedical Eng. – Kong Chen, Ph.D. • Biomedical informatics – Domink Aronsky, M.D., Ph.D, • Biostatistics – Dan Byrne, M.S., Chang Yu, Ph.D. • Emergency Medicine – Robin Hemphill, M.D. • Dorsey Rickard, Renee Makowski (Med students) • Ted Speroff, Ph.D., Bob Dittus, M.D., MPH (Mentors)

  13. Creating a Methodology • Call people you want to be friends with: • Bruce Hallbert, M.S. – Idaho National Environmental Laboratory (Human Factors expert in Nuclear power) • Matt Weinger, M.D. – UCSD, anesthesiologist and patient safety expert. Call your friends

  14. Subjects: 10 Faculty 5 PGY-3 5 PGY-2 180-minute observations Afternoon observations Study Design - Conceptual Diagram

  15. Primary Task Analysis • Primary tasks: • Answering EMS calls • Charting • Dictating • Direct Patient Care • Electronic Whiteboard Interaction (eWB) • eWB Viewing • Exchanging Patient info. • Phone calls/Pages • Verbal Orders to Provider • Teaching/Learning • Supervising • Task Outcomes: • End Task • Break in Task • Temporary interruption Interruption types: • Face-to-Face Physician • Face-to-face Nurse • Face-to-face other • Phone call/Page • Locating lost charts • Equipment malfunction • Other

  16. Current Task Current Task Task Start Task Start Task Stop Task Stop Event Type Event Type Interruption Type Interruption Type Electronic Whiteboard Interaction Electronic Whiteboard Interaction 4:20:10 PM 4:20:10 PM 4:20:18 PM 4:20:18 PM End Task End Task Viewing Diagnostic Test Results Viewing Diagnostic Test Results 4:20:24 PM 4:20:24 PM 4:21:31 PM 4:21:31 PM Break In Task Break In Task Face Face - - to to - - Face Physician Face Physician Exchanging Patient Info Exchanging Patient Info 4:21:42 PM 4:21:42 PM 4:22:25 PM 4:22:25 PM End Task End Task Viewing Diagnostic Test Results Viewing Diagnostic Test Results 4:22:32 PM 4:22:32 PM 4:22:43 PM 4:22:43 PM End Task End Task Charting 4:22:49 PM 4:23:27 PM Temporary Face - to - Face Physician Charting 4:22:49 PM 4:23:27 PM Temporary Face - to - Face Physician Continued 4:23:46 PM 4:25:20 PM End Task Continued 4:23:46 PM 4:25:20 PM End Task Direct Patient Care Direct Patient Care 4:25:29 PM 4:25:29 PM 4:30:39 PM 4:30:39 PM End Task End Task Time in Motion Study 180 minute observation

  17. Physiological Measurements How does physical activity / physiological stress relate mental workload/stress? Kong Chen, Ph.D.

  18. Subjective Workload Assessment • NASA Task Load Index (TLX) – result of 20 years of research in aviation/space • 6 Dimensions of NASA-TLX • Mental demand • Physical demand • Temporal demand • Effort • Performance • Frustration Level

  19. ED Occupancy Diversion status Patient wait times Patient LOS Managing physician Total # of pts Max # of pts Other system level data Electronic Whiteboard Dominik Aronsky, M.D., Ph.D

  20. Results • 50 hours of physician work activity observed • Physicians averaged 103 + 19 tasks per observational period • Physicians walked about 0.8 miles • Interruption rates • Faculty: every 9.6 minutes • PGY3: every 8.8 minutes • PGY2: every 13 minutes

  21. Patient Load by Training Level

  22. Tasks by Training Level

  23. Distribution of Tasks

  24. More about Tasks • Faculty perform 8% more exchanging info, 12% more dictation tasks than residents • Residents perform 10% more charting tasks than faculty • Residents performed 59% of all direct patient care tasks

  25. Distribution of Interruptions

  26. More about Interruptions • Uninterrupted Task Duration: • 0:1:21(hour:minutes:seconds) • Interrupted Task Duration: • 0:2:00 (excluding duration of interruption) • Tasks are interrupted about 1 minute after they are started • Temporary interruptions last 33 seconds • 9% of direct patient care tasks interrupted

  27. What Tasks do Interruptions Interrupt? • Face-to-face physicians interruptions: • Charting (29%) • eWB interaction (22%) • Exchanging pt. info (12%) • Face-to-face nurse interruptions: • Exchanging pt. info (23%) • eWB interaction (22%) • Charting (16%) • Telephone interruptions: Exchanging pt info (22%); direct pt. care (17%), charting(15%)

  28. Task before/After eWB Activity Note: eWB activity represented nearly 20% of all tasks observed

  29. Subjective Workload by Task

  30. Frustration Subjective Workload Dimensions Temporal demands Biggest driver of workload for all physicians *Statistically significant difference at alpha = 0.05 level

  31. Workload Summary • Faculty supervise; manage information/communication flow • PGY-3 residents are the “work horses” of the ED • Most tasks; Most patient care; most interruptions • PGY-2 residents – charting;consults; direct patient care

  32. Workload Summary • ED physicians attribute mental workload to: • Time demands • Effort • Mental demands • Residents have higher workload than faculty • Results primarily from frustration; effort

  33. Implications – Safety/Efficiency • Physicians working in ED equipped with IT system (eWB)* • Are 34% more efficient (tasks performed) • Spend 10% more time on direct patient care • Experience 52% less interruptions • The eWB appears to help distribute ED workload fairly evenly • The eWB appears to improve situational awareness • Increase in direct patient care after viewing eWB *Compare to results reported by Chisholm, Coiera, Hollingsworth

  34. Implications – Safety/Efficiency • Temporary interruptions occur twice as often as breaks in tasks • Interrupted tasks are 33% longer than uninterrupted tasks • Interruptions affect provider-provider communication more than provider-patient communication • IT improves information / communication flow but interruptions still prevalent • Command and control center of ED *Compare to results reported by Chisholm, Coiera, Hollingsworth

  35. Next Steps • Explore Time-based analyses • Workload density • Physiological stress • Linear mixed effects modeling • Framework Assessing Notorious Contributing Influences for Error (FRANCIE) • NASA/INEEL tool for aviation safety • Modeling human performance and error • Input: Our task analysis data and error taxonomy for ED • Study association between human factors and patient/provider outcomes

  36. Data over time

  37. FRANCIE – Core Error and Contributing Influences Task or Task Step for Analysis Omission Commission Error Types Generic Errors General Performance shaping factors Intermediate PSFs Specific PSFs, PSF characteristics, PSF examples

  38. The Future • Doubling size of Adult ED • New Children’s Hospital ED • Other settings – OR, Oncology clinics

  39. Questions?

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