What explains differences in average wait time in the emergency department among different racial and ethnic populations: A linear decomposition approach

Author:

Wang Hao1ORCID,Sambamoorthi Nethra2,Robinson Richard D.3,Knowles Heidi1,Kirby Jessica J.1,Ho Amy F.1,Takami Trevor1,Sambamoorthi Usha4

Affiliation:

1. Department of Emergency Medicine John Peter Smith Health Network Fort Worth Texas USA

2. CRM Portals LLC Fort Worth Texas USA

3. Department of Emergency Medicine Baylor University Medical Center Dallas Texas USA

4. University of North Texas Health Science Center Fort Worth Texas USA

Abstract

AbstractObjectiveNon‐Hispanic Black (NHB) and Hispanic/Latino (Hispanic) patients wait longer in the emergency department (ED) to see practitioners when compared with non‐Hispanic White (NHW) patients. We investigate factors contributing to longer wait times for NHB and Hispanic patients using a linear decomposition approach.MethodsThis retrospective observational study included patients presenting to one tertiary hospital ED from 2019 to 2021. Median wait times among NHW, NHB, and Hispanic were calculated with multivariable linear regressions. The extent to which demographic, clinical, and hospital factors explained the differences in average wait time among the three groups were analyzed with Blinder‒Oaxaca post‐linear decomposition model.ResultsThere were 310,253 total patients including 34.7% of NHW, 34.7% of NHB, and 30.6% of Hispanic patients. The median wait time in NHW was 9 min (interquartile range [IQR] 4‒47 min), in NHB was 13 min (IQR 4‒59 min), and in Hispanic was 19 min (IQR 5‒78 min, p < 0.001). The top two contributors of average wait time difference were mode of arrival and triage acuity level. Post‐linear decomposition analysis showed that 72.96% of the NHB‒NHW and 87.77% of the Hispanic‒NHW average wait time difference were explained by variables analyzed.ConclusionCompared to NHW patients, NHB and Hispanic patients typically experience longer ED wait times, primarily influenced by their mode of arrival and triaged acuity levels. Despite these recognized factors, there remains 12%‒27% unexplained factors at work, such as social determinants of health (including implicit bias and systemic racism) and many other unmeasured confounders, yet to be discovered.

Publisher

Wiley

Reference51 articles.

1. Centers for Disease Control and Prevention.Emergency Department Visits. Centers for Disease Control and Prevention. Accessed July 22 2023.https://www.cdc.gov/nchs/fastats/emergency‐department.html

2. Academy of Administrators in Academic Emergency Medicine.Benchmark Survey by AAAEM. Accessed July 22 2023.https://www.saem.org/about‐saem/academies‐interest‐group‐affiliate/aaaem/benchmark‐survey2

3. Emergency Department Volume and Racial and Ethnic Differences in Waiting Times in the United States

4. Racial and ethnic variations in waiting times for emergency department visits related to nontraumatic dental conditions in the United States

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