Literature DB >> 21906203

Variations in crowding and ambulance diversion in nine emergency departments.

Daniel A Handel1, Jesse Pines, Dominik Aronsky, Nicholas Genes, Adit A Ginde, Jeffrey Hackman, Joshua A Hilton, Ula Hwang, Michael Kamali, Emilie Powell, Medhi Sattarian, Rongwei Fu.   

Abstract

OBJECTIVES: The primary study aim was to examine the variations in crowding when an emergency department (ED) initiates ambulance diversion.
METHODS: This retrospective, multicenter study included nine geographically disparate EDs. Daily ED operational variables were collected during a 12-month period (January 2009 to December 2009), including total number of ED visits, mean overall length of stay (LOS), number of ED beds, and hours on ambulance diversion. The primary outcome variable was the "ED workload rate," a surrogate marker for daily ED crowding. It was calculated as the total number of daily ED visits multiplied by the overall mean LOS (in hours) and divided by the number of ED beds available for acute treatment in a given day. The primary predictor variables were ambulance diversion, as a dichotomous variable of whether or not an ED went on diversion at least once during a 24-hour period, diversion hour quintiles, and sites.
RESULTS: The annual ED census ranged from 43,000 to 101,000 patients. The percentage of days that an ED went on diversion at least once varied from 4.9% to 86.6%. On days with ambulance diversion, the mean ED workload rate varied from 17.1 to 62.1 patient LOS hours per ED bed among sites. The magnitude of variation in ED workload rate was similar on days without ambulance diversion. Differences in ED workload rate varied among sites, ranging from 1.0 to 6.0 patient LOS hours per ED bed. ED workload rate was higher on average on diversion days compared to nondiversion days. The mean difference between diversion and nondiversion was statistically significant for the majority of sites.
CONCLUSIONS: There was marked variation in ED workload rates and whether or not ambulance diversion occurred during a 24-hour period. This variability in initiating ambulance diversion suggests different or inconsistently applied decision-making criteria for initiating diversion.
© 2011 by the Society for Academic Emergency Medicine.

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Year:  2011        PMID: 21906203     DOI: 10.1111/j.1553-2712.2011.01149.x

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


  7 in total

1.  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

2.  A test of the diathesis-stress model in the emergency department: who develops PTSD after an acute coronary syndrome?

Authors:  Donald Edmondson; Ian M Kronish; Lauren Taggart Wasson; James F Giglio; Karina W Davidson; William Whang
Journal:  J Psychiatr Res       Date:  2014-02-24       Impact factor: 4.791

3.  Emergency department crowding predicts admission length-of-stay but not mortality in a large health system.

Authors:  Stephen F Derose; Gelareh Z Gabayan; Vicki Y Chiu; Sau C Yiu; Benjamin C Sun
Journal:  Med Care       Date:  2014-07       Impact factor: 2.983

Review 4.  The 'perfect storm' and acute coronary syndrome onset: do psychosocial factors play a role?

Authors:  Matthew M Burg; Donald Edmondson; Daichi Shimbo; Jonathan Shaffer; Ian M Kronish; William Whang; Carmela Alcántara; Joseph E Schwartz; Paul Muntner; Karina W Davidson
Journal:  Prog Cardiovasc Dis       Date:  2013-04-06       Impact factor: 8.194

5.  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 6.  Measures of Emergency Department Crowding, a Systematic Review. How to Make Sense of a Long List.

Authors:  Samer Badr; Andrew Nyce; Taha Awan; Dennise Cortes; Cyrus Mowdawalla; Jean-Sebastien Rachoin
Journal:  Open Access Emerg Med       Date:  2022-01-04

7.  Ambulance diversion and ED destination by race/ethnicity: evaluation of Massachusetts' ambulance diversion ban.

Authors:  Amresh D Hanchate; William E Baker; Michael K Paasche-Orlow; James Feldman
Journal:  BMC Health Serv Res       Date:  2022-08-03       Impact factor: 2.908

  7 in total

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