Literature DB >> 12837644

Emergency department gridlock and out-of-hospital delays for cardiac patients.

Michael J Schull1, Laurie J Morrison, Marian Vermeulen, Donald A Redelmeier.   

Abstract

OBJECTIVES: To determine the effect of simultaneous ambulance diversion at multiple emergency departments (EDs) (gridlock) on transport delays for patients with chest pain.
METHODS: Retrospective data on consecutive ambulance patients with chest pain and the diversion status of EDs in Toronto were obtained from January 1998 to December 1999. Gridlock was calculated separately for the four city quadrants as the daily duration of episodes where all EDs in the quadrant were simultaneously diverting ambulances. The primary outcome was 90th percentile ambulance transport interval (scene departure to hospital arrival).
RESULTS: Eleven thousand four hundred patients were included (mean age 67 years; female 51%; severity of illness: moderate to life-threatening 89%). Gridlock occurred an average of 1.1 hour/day, and 3,060 patients were transported on days when it occurred. Ninetieth percentile transport interval was 15.5 minutes (95% CI = 15.3 to 15.9) for patients not exposed to gridlock vs. 17.4 minutes (95% CI = 16.8 to 17.8) for patients who were exposed to gridlock. In multivariate analyses, gridlock was associated with both transport and total out-of-hospital interval delays (0.2 min/hour, 95% CI = 0.1 to 0.4 and 0.2 min/hour, 95% CI = 0.04 to 0.4, respectively). Delays were similar regardless of patient severity of illness (p = 0.5). Age (0.8 min/10 years, 95% CI = 0.5 to 1), female gender (1.9 min, 95% CI = 1.3 to 2.6), advanced care paramedics (5.3 min, 95% CI = 4.4 to 6.3), and snowfall (0.8 min/cm, 95% CI = 0.2 to 1.5) were also independently associated with delays.
CONCLUSIONS: Ambulance diversion was associated with delays in out-of-hospital ambulance transport for chest pain patients, but only when it resulted in gridlock. The magnitude of the out-of-hospital delay was the same regardless of the patient's severity of illness.

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Year:  2003        PMID: 12837644     DOI: 10.1111/j.1553-2712.2003.tb00064.x

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  10 in total

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Journal:  Ann Emerg Med       Date:  2007-03-27       Impact factor: 5.721

2.  Forecasting emergency department crowding: a discrete event simulation.

Authors:  Nathan R Hoot; Larry J LeBlanc; Ian Jones; Scott R Levin; Chuan Zhou; Cynthia S Gadd; Dominik Aronsky
Journal:  Ann Emerg Med       Date:  2008-04-03       Impact factor: 5.721

3.  Ambulance diversions following public hospital emergency department closures.

Authors:  Charleen Hsuan; Renee Y Hsia; Jill R Horwitz; Ninez A Ponce; Thomas Rice; Jack Needleman
Journal:  Health Serv Res       Date:  2019-04-02       Impact factor: 3.402

4.  Association between ambulance diversion and survival among patients with acute myocardial infarction.

Authors:  Yu-Chu Shen; Renee Y Hsia
Journal:  JAMA       Date:  2011-06-12       Impact factor: 56.272

5.  The impact of inpatient boarding on ED efficiency: a discrete-event simulation study.

Authors:  Aaron E Bair; Wheyming T Song; Yi-Chun Chen; Beth A Morris
Journal:  J Med Syst       Date:  2009-05-15       Impact factor: 4.460

6.  Does decreased access to emergency departments affect patient outcomes? Analysis of acute myocardial infarction population 1996-2005.

Authors:  Yu-Chu Shen; Renee Y Hsia
Journal:  Health Serv Res       Date:  2011-09-23       Impact factor: 3.402

Review 7.  Systematic review of emergency department crowding: causes, effects, and solutions.

Authors:  Nathan R Hoot; Dominik Aronsky
Journal:  Ann Emerg Med       Date:  2008-04-23       Impact factor: 5.721

8.  California hospitals serving large minority populations were more likely than others to employ ambulance diversion.

Authors:  Renee Yuen-Jan Hsia; Steven M Asch; Robert E Weiss; David Zingmond; Li-Jung Liang; Weijuan Han; Heather McCreath; Benjamin C Sun
Journal:  Health Aff (Millwood)       Date:  2012-08       Impact factor: 6.301

Review 9.  Clinical review: Emergency department overcrowding and the potential impact on the critically ill.

Authors:  Robert M Cowan; Stephen Trzeciak
Journal:  Crit Care       Date:  2004-10-14       Impact factor: 9.097

10.  Emergency Department Crowding Disparity: a Nationwide Cross-Sectional Study.

Authors:  Won Chul Cha; Ki Ok Ahn; Sang Do Shin; Jeong Ho Park; Jin Sung Cho
Journal:  J Korean Med Sci       Date:  2016-05-18       Impact factor: 2.153

  10 in total

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