Evaluating the impact of emergency department crowding on disposition patterns and outcomes of discharged patients.

Disposition decision-making Emergency department crowding Outcomes

Journal

International journal of emergency medicine
ISSN: 1865-1372
Titre abrégé: Int J Emerg Med
Pays: England
ID NLM: 101469435

Informations de publication

Date de publication:
30 Jan 2019
Historique:
received: 09 07 2018
accepted: 21 01 2019
entrez: 11 6 2019
pubmed: 11 6 2019
medline: 11 6 2019
Statut: epublish

Résumé

Crowding is a major challenge faced by EDs and is associated with poor outcomes. Determine the effect of high ED occupancy on disposition decisions, return ED visits, and hospitalizations. We conducted a retrospective analysis of electronic health records of patients evaluated at an adult, urban, and academic ED over 20 months between the years 2012 and 2014. Using a logistic regression model predicting admission, we obtained estimates of the effect of high occupancy on admission disposition, adjusted for key covariates. We then stratified the analysis based on the presence or absence of high boarder patient counts. Disposition decisions during a high occupancy hour decreased the odds of admission (OR = 0.93, 95% CI: [0.89, 0.98]). Among those who were not admitted, high occupancy was not associated with increased odds of return in the combined (OR = 0.94, 95% CI: [0.87, 1.02]), with-boarders (OR = 0.96, 95% CI: [0.86, 1.09]), and no-boarders samples (OR = 0.93, 95% CI: [0.83, 1.04]). Among those who were not admitted and who did return within 14 days, disposition during a high occupancy hour on the initial ED visit was not associated with a significant increased odds of hospitalization in the combined (OR = 1.04, 95% CI: [0.87, 1.24]), the with-boarders (OR = 1.12, 95% CI: [0.87, 1.44]), and the no-boarders samples (OR = 0.98, 95% CI: [0.77, 1.24]). ED crowding was associated with reduced likelihood of hospitalization without increased likelihood of 2-week return ED visit or hospitalization. Furthermore, high occupancy disposition hours with high boarder patient counts were associated with decreased likelihood of hospitalization.

Sections du résumé

BACKGROUND BACKGROUND
Crowding is a major challenge faced by EDs and is associated with poor outcomes.
OBJECTIVES OBJECTIVE
Determine the effect of high ED occupancy on disposition decisions, return ED visits, and hospitalizations.
METHODS METHODS
We conducted a retrospective analysis of electronic health records of patients evaluated at an adult, urban, and academic ED over 20 months between the years 2012 and 2014. Using a logistic regression model predicting admission, we obtained estimates of the effect of high occupancy on admission disposition, adjusted for key covariates. We then stratified the analysis based on the presence or absence of high boarder patient counts.
RESULTS RESULTS
Disposition decisions during a high occupancy hour decreased the odds of admission (OR = 0.93, 95% CI: [0.89, 0.98]). Among those who were not admitted, high occupancy was not associated with increased odds of return in the combined (OR = 0.94, 95% CI: [0.87, 1.02]), with-boarders (OR = 0.96, 95% CI: [0.86, 1.09]), and no-boarders samples (OR = 0.93, 95% CI: [0.83, 1.04]). Among those who were not admitted and who did return within 14 days, disposition during a high occupancy hour on the initial ED visit was not associated with a significant increased odds of hospitalization in the combined (OR = 1.04, 95% CI: [0.87, 1.24]), the with-boarders (OR = 1.12, 95% CI: [0.87, 1.44]), and the no-boarders samples (OR = 0.98, 95% CI: [0.77, 1.24]).
CONCLUSION CONCLUSIONS
ED crowding was associated with reduced likelihood of hospitalization without increased likelihood of 2-week return ED visit or hospitalization. Furthermore, high occupancy disposition hours with high boarder patient counts were associated with decreased likelihood of hospitalization.

Identifiants

pubmed: 31179922
doi: 10.1186/s12245-019-0223-1
pii: 10.1186/s12245-019-0223-1
pmc: PMC6354348
doi:

Types de publication

Journal Article

Langues

eng

Pagination

4

Subventions

Organisme : National Institute on Aging
ID : 5R21AG043739-03

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Auteurs

Mahshid Abir (M)

Department of Emergency Medicine, Acute Care Research Unit, Institute for Healthcare Policy and Innovation, University of Michigan, NCRC Bldg. 10 Rm G016, 2800 Plymouth Road, Ann Arbor, MI, 48109-2800, USA. mahshida@med.umich.edu.
RAND Corporation, Santa Monica, CA, USA. mahshida@med.umich.edu.

Jason E Goldstick (JE)

Department of Emergency Medicine, Acute Care Research Unit, Institute for Healthcare Policy and Innovation, University of Michigan, NCRC Bldg. 10 Rm G016, 2800 Plymouth Road, Ann Arbor, MI, 48109-2800, USA.

Rosalie Malsberger (R)

Mathematica Policy Research, Boston, MA, USA.

Andrew Williams (A)

Hackensack University Medical Center, Hackensack, NJ, USA.

Sebastian Bauhoff (S)

Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Vikas I Parekh (VI)

Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.

Steven Kronick (S)

Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA.

Jeffrey S Desmond (JS)

Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA.

Classifications MeSH