2020
DOI: 10.1002/hec.4167
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The effects of unexpected changes in demand on the performance of emergency departments

Abstract: Crowding in emergency departments (EDs) is increasing in many health systems. Previous studies of the relationship between crowding and care quality are limited by the use of data from single hospitals, a focus on particular patient groups, a focus on a narrow set of quality measures, and use of crowding measures which induce bias from unobserved hospital and patient characteristics. Using data from 139 hospitals covering all major EDss in England, we measure crowding using quasi-exogenous variation in the vol… Show more

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Cited by 15 publications
(9 citation statements)
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“…Descriptive features of the Type 1 ED attendances in this study are different to patients in the general population. Compared with a large sample of ED attendances in 2016/17, 25 a greater percentage of patients in our study left before treatment (15% vs. 4%), and arrived by ambulance (56% vs. 30%). A lower percentage of attendances in this study resulted in admission to hospital (22% vs. 28%).…”
Section: Discussioncontrasting
confidence: 81%
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“…Descriptive features of the Type 1 ED attendances in this study are different to patients in the general population. Compared with a large sample of ED attendances in 2016/17, 25 a greater percentage of patients in our study left before treatment (15% vs. 4%), and arrived by ambulance (56% vs. 30%). A lower percentage of attendances in this study resulted in admission to hospital (22% vs. 28%).…”
Section: Discussioncontrasting
confidence: 81%
“…Unplanned ED re-attendance within 7 days is an indicator of poor quality care. 25 We created a binary indicator for whether there was an unplanned follow-up attendance within 7 days of the initial attendance.…”
Section: Methodsmentioning
confidence: 99%
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“…There is growing evidence that insufficient bed capacity and high bed occupancy rates are linked to higher patient mortality, poor in-hospital outcomes, and risks to hospital staff welfare (Keegan, 2010;Madsen et al, 2014;Bosque-Mercader and Siciliani, 2022). High bed occupancy also results in overcrowding on hospital corridors and in Emergency Departments (as regularly experienced in Ireland, particularly in Winter 2022/2023) (Morley et al, 2018;Turner et al, 2020). The 85 per cent average occupancy rate threshold has been adopted by the OECD and other systems as an upper average threshold for hospitals to aim for.…”
Section: Introductionmentioning
confidence: 99%
“…Some studies have addressed volatility of demand in the hospital setting. Higginson et al 4 and others 5, 6 emphasized consideration of peaks in demand rather than average demand when planning for the capacity of a hospital Emergency Department. Chatburn et al studied volatility in demand for respiratory services at the Cleveland Clinic 7 .…”
mentioning
confidence: 99%