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Effects of ED Crowding

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... and ED occupancy rate were associated with delays in analgesia (Annals of EM) Timeliness: analgesia. Penn, adult ED, 4/05-9/06. 13,758 pts. w/severe pain ... – PowerPoint PPT presentation

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Title: Effects of ED Crowding


1
  • Effects of ED Crowding
  • on Patient-Oriented Outcomes
  • SAEM Annual Meeting
  • May 30, 2008
  • Brent Asplin, MD, MPH
  • Steven L. Bernstein, MD
  • Jesse Pines, MD, MBA

2
Goals
  • Provide update on crowding, Institute of Medicine
    report, SAEM response
  • Describe evidence linking crowding with adverse
    patient outcomes
  • Outline research agenda

3
Conceptual model of ED crowding
4
Institute of Medicine reports June 2006
  • US emergency medical care is overburdened,
    underfunded, and highly fragmented
  • www.iom.edu

5
Fewer EDs, more patients
Sources NHAMCS, AHA
6
IOM findings
  • EDs and trauma centers are overcrowded
  • EM care is fragmented
  • Specialists often unavailable
  • System unprepared for major disaster
  • EMS and EDs ill-prepared to treat children

7
Key Recommendation
  • Hospitals should END the practice of boarding
    inpatients in the ED.

8
SAEM Response
  • ED Crowding Task Force
  • Task Review crowdings impact on ED quality of
    care, education
  • Report to Board

9
Crowding and Quality
  • How to get policymakers attention?
  • Does ED crowding affect
  • Quality of care?
  • Patient safety?
  • Medical error?
  • Magid DJ et al., Ann Emerg Med 200444586

10
IOM Definition of quality
  • Quality care is
  • Safe
  • Patient-centered
  • Timely
  • Efficient
  • Equitable
  • Effective

11
ED Crowding So What?
  • What outcomes do people care about?
  • The three Ms
  • Mortality
  • Morbidity
  • Money

12
Mortality
13
Safety
  • Mortality
  • Spain ED mortality, 72 hour returns more
    frequent when crowded
  • Miro O et al., European J Emerg Med 19996105
  • Lancet 20003561356

14
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15
Crowding Mortality
  • Sprivulis et al. MJA 2006 184 208212
  • The association between hospital overcrowding and
    mortality among patients admitted via Western
    Australian emergency departments
  • Overcrowding associated with day 2, day 7, and
    day 30 mortality

16
Crowding and 7-day survival
ED Boarder occupancy
Both hospital occupancy and ED boarder occupancy
are associated with increased 7-day
mortality Sprivulis P, 2006, MJA 184208
17
Crowding Mortality
  • Richardson DB. MJA 2006 184 213216
  • Increase in patient mortality at 10 days
    associated with ED crowding
  • Crowding defined by quartiles of ED occupancy
  • 10 day mortality higher in patients presenting
    during crowded periods
  • RR 1.34 (95 CI, 1.041.72)

18
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19
Crowding Mortality
  • Chalfin et al. Crit Care Med 2007 3514771483
  • Impact of delayed transfer of critically ill
    patients from the emergency department to the
    intensive care unit
  • ICU patients with gt6 hour delay in admission had
    higher ICU and hospital mortality, as well as
    longer length of stay

20
ICU survival
  • Project IMPACT database
  • 90 US hospitals, 120 ICUs, 200,000 patients
  • 2000-2003
  • Endpoints ICU mortality, in-hospital mortality
  • Independent variable ED LOS gt 6 hours after
    admit
  • 50,322 pts., 1036 w/delayed transfer
  • Similar age, gender, DNR status, APACHE
  • Chalfin et al., Crit Care Med 2007351477

21
Results, logistic model
22
Crowding VAP
  • Carr et al. J Trauma. 2007639 12.
  • Emergency Department Length of Stay a Major Risk
    Factor for Pneumonia in Intubated Blunt Trauma
    Patients
  • For every hour increase in ED length of stay, the
    risk of pneumonia increased 20

23
Mortality negative studies
  • Pines et al.
  • Bernstein et al.
  • Publication bias?

24
Morbidity
25
Crowding Treatment Delays
  • Schull et al.
  • Ambulance diversion is associated with delays in
    reperfusion therapy
  • Fishman et al.
  • Patients with potential ACS who presented during
    trauma team activations have higher 30-day CV
    complications

26
Timeliness door to needle
  • Time to lytic in acute MI
  • Ontario, Canada, 1998-2000
  • 25 EDs, 3452 pts.
  • Network crowding none, moderate (lt60 EDs), high
    (gt60)
  • Door-needle times 40, 45, 47 minutes (Plt0.001)
  • Schull et al., Ann Emerg Med 200444577

27
Crowding Treatment for Pain
  • Hwang et al.
  • Higher ED census is associated with lack of
    analgesia and delays to analgesia administration
    in pts. w/ hip fx (JAGS 2006)
  • Pines et al.
  • Waiting room number and ED occupancy rate were
    associated with delays in analgesia (Annals of EM)

28
Timeliness analgesia
  • Penn, adult ED, 4/05-9/06
  • 13,758 pts. w/severe pain
  • 49 received analgesia
  • Endpoint no analgesia OR delay in analgesia
  • Pines et al., Ann Emerg Med Jan. 2008

29
Results
30
Crowding Pneumonia
  • Two articles in Annals of EM Nov. 2007
  • Pines et al. waiting room number and recent LOS
    associated with delays and lack of antibiotic
    administration
  • Fee et al. antibiotic treatment delays more
    likely with higher ED volume and complexity of
    patients

31
Timeliness antibiotics
  • Time to antibiotic for pneumonia
  • U. Penn, 2003-2005
  • Outcome Abx gt 4 hours (or no Abx)
  • Crowding measures no. patients in waiting room,
    LOS for admitted pts.
  • 694 adults, 44 treated lt 4 hours
  • P (delayed Abx) 0.31 at 2 lowest quartiles,
    0.72 at highest
  • Pines et al., Ann Emerg Med 2007

32
Crowding and ACS Treatment
  • Prolonged ED length of stay associated with less
    adherence to the ACC guidelines for ACS/NSTEMI
    care
  • Diercks et al., Annals of EM 200750489
  • The Emergency Department Crowding Paradox The
    Longer You Stay, the Less Care You Get
  • Hollander, Pines, Annals of EM 200750499

33
Effectiveness
  • Adherence to AHA/ACC guidelines for NSTEMI
  • CRUSADE registry 500 US hospitals
  • 2003-2005
  • 42,780 eligible pts.
  • Median ED LOS 4.3 hours (IQR 2.9, 6.3)
  • 15 gt8 hrs.
  • Diercks et al., Ann Emerg Med 2007 50489

34
Results medication
All P lt 0.05
35
Results procedures in-hospital
36
Money
37
Financial implications
  • 1994 admitted patients who stay in the ED gt 1
    day have an increased hospital length of stay of
    1.2 days
  • May result in decreased reimbursement
  • Krochmal P, Am J Emerg Med 199412265

38
Pines et al 2008 (SAEM)
  • ED LOS was not associated with hospital LOS (log
    transformed)
  • Longer ED LOS was associated with a higher
    hospital contribution margin (600/patient)

39
Crowding Money
  • McConnell et al., Ann Emerg Med 200648702
  • Diversion associated with lost hospital revenue
  • Falvo et al., Acad Emerg Med 200714332-337
  • Opportunity costs associated with boarding
    patients in the ED

40
Whats Next?
  • Consensus around measurement
  • Current trends
  • ED census
  • ED length of stay
  • The number of waiting room patients/time
  • Total ED treatment hours
  • Crowding scales

41
A research agenda
  • Refine measures of crowding
  • Development of crowding research databases
  • Study impact on quality
  • Design, implement, evaluate solutions
  • International comparisons

42
National Quality Forum (NQF) Process
  • Proposed measures of ED quality/efficiency
  • Total ED LOS (median time in minutes)
  • Admitted vs discharged
  • ED Boarding Time
  • Time to see physician/mid-level provider
  • Patients who leave without being seen

43
21st century developments
  • 2003 GAO report
  • Hallway transfers
  • Joint Commission standards
  • Robert Wood Johnson Foundation Urgent Matters
  • September 11, 2001

44
Crowding scores
  • ED Work Index (EDWIN)
  • Bernstein SL et al., Acad Emerg Med 200310938
  • National Emergency Department Overcrowding Score
    (NEDOCS)
  • Weiss SJ, Acad Emerg Med 20041138
  • ED Work Score
  • Epstein SK, Acad Emerg Med 200613421
  • Real-time Analysis of Emergency Demand Indicators
    (READI)
  • Reeder TJ, Acad Emerg Med 2004101084
  • Boarding burden, occupancy rate
  • McCarthy ML et al., Ann Emerg Med 2007, in press

45
Potential uses of crowding indices
  • Real-time dashboard
  • Early-warning system
  • Surge capacity/MCI preparedness
  • Quality indicators MI, pneumonia, etc.

46
Conclusions
  • Crowding affects all domains of quality of care
    in ED
  • Greater recognition needed by policymakers,
    administrators, clinicians
  • Three parallel tracks moving forward
  • Crowding research agenda
  • Public policy/regulatory agenda (e.g. NQF)
  • Internal hospital operations

47
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