Early Rooming Triage: Accuracy and Demographic Factors Associated with Clinical Acuity.


Journal

The western journal of emergency medicine
ISSN: 1936-9018
Titre abrégé: West J Emerg Med
Pays: United States
ID NLM: 101476450

Informations de publication

Date de publication:
28 Feb 2022
Historique:
received: 27 06 2021
accepted: 19 12 2021
entrez: 18 3 2022
pubmed: 19 3 2022
medline: 23 3 2022
Statut: epublish

Résumé

Early rooming triage increases patient throughput and satisfaction by rapidly assigning patients to a definitive care area, without using vital signs or detailed chart review. Despite these operational benefits, the clinical accuracy of early rooming triage is not well known. We sought to measure the accuracy of early rooming triage and uncover additional patient characteristics that can assist triage. We conducted a single-center, retrospective population study of walk-in emergency department (ED) patients presenting to the ED via an early rooming triage system, examining triage accuracy and demographic factor correlation with higher acuity ED outcomes. Among all patients included from the three-year study period (N = 238,457), early rooming triage was highly sensitive (0.89) and less specific (0.61) for predicting which patients would have a severe outcome in the ED. Patients triaged to the lowest acuity area of the ED experienced severe outcomes in 4.39% of cases, while patients triaged to the highest acuity area of the ED experienced severe outcomes in 65.9% of cases. An age of greater than 43 years (odds ratio [OR] 3.48, 95% confidence interval: 3.40, 3.57) or patient's home address farther from the ED ([OR] 2.23 to 3.08) were highly correlated with severe outcomes. Multivariable models incorporating triage team judgment were robust for predicting severe outcomes at triage, with an area under the receiver operating characteristic of 0.82. Early rooming workflows are appropriately sensitive for ED triage. Consideration of demographic factors, automated or otherwise, can augment ED processes to provide optimal triage.

Identifiants

pubmed: 35302446
pii: westjem.2021.12.53873
doi: 10.5811/westjem.2021.12.53873
pmc: PMC8967449
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

145-151

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Auteurs

David Y Zhang (DY)

The Mount Sinai Hospital, Department of Emergency Medicine, New York, New York.
New York-Presbyterian Hospital, Columbia University Irving Medical Center, Department of Biomedical Informatics, New York, New York.

Bradley Shy (B)

The Mount Sinai Hospital, Department of Emergency Medicine, New York, New York.
Denver Health and Hospital Authority, Department of Emergency Medicine, Denver, Colorado.
University of Colorado School of Medicine, Aurora, Colorado.

Nicholas Genes (N)

The Mount Sinai Hospital, Department of Emergency Medicine, New York, New York.
Ronald O. Perelman Department of Emergency Medicine, NYU Langone Health, New York, New York.
NYU Grossman School of Medicine, Department of Emergency Medicine, New York, New York.

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Classifications MeSH