Addressing overcrowding in an emergency department: an approach for identifying and treating influential factors and a real-life application

Abstract Background Overcrowding in hospital emergency departments that arises from long length-of-stay is an unfortunate common occurrence. While some factors affecting length-of-stay are well known, there may be additional factors that have not yet been properly addressed. This research offers a m...

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Main Authors: Guy Wachtel, Amir Elalouf
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Israel Journal of Health Policy Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13584-020-00390-5
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spelling doaj-7f874f04fe1c4b0e9ade08e986ec12e82020-11-25T03:25:16ZengBMCIsrael Journal of Health Policy Research2045-40152020-09-019111210.1186/s13584-020-00390-5Addressing overcrowding in an emergency department: an approach for identifying and treating influential factors and a real-life applicationGuy Wachtel0Amir Elalouf1Department of Management, Bar-Ilan UniversityDepartment of Management, Bar-Ilan UniversityAbstract Background Overcrowding in hospital emergency departments that arises from long length-of-stay is an unfortunate common occurrence. While some factors affecting length-of-stay are well known, there may be additional factors that have not yet been properly addressed. This research offers a method for emergency department managers to use available data from their departments to identify new factors that significantly influence emergency departments crowding and patient length-of-stay. Methods We propose an algorithm that can assist emergency department managers in determining which of these factors to address, given budgetary constraints. We implemented it in a case study which takes into account factors that are known to be influential, e.g., reason for arrival, occupancy in the emergency department, and arrival time, as well as factors that are explored for the first time in this paper, such as patient heart rate, the number of accompanying escorts, and the number of tests assigned to patients (e.g., blood tests and urinalysis). Results All the implemented and new factors are shown to have a significant influence on the length-of-stay and crowding. We also obtained additional support for our results by interviewing emergency departments physicians and nurses from various hospitals. Conclusions It is expected that, by taking all the above factors into consideration, emergency departments efficiency can be improved. The algorithm constructed here allows the choice of the most cost-effective factors to be improved, subject to a given budget. We have been able to derive practical recommendations that emergency departments managers might use to limit crowding and patient length-of-stay.http://link.springer.com/article/10.1186/s13584-020-00390-5Emergency departmentsOvercrowdingLength of stayNew factorsAlgorithm
collection DOAJ
language English
format Article
sources DOAJ
author Guy Wachtel
Amir Elalouf
spellingShingle Guy Wachtel
Amir Elalouf
Addressing overcrowding in an emergency department: an approach for identifying and treating influential factors and a real-life application
Israel Journal of Health Policy Research
Emergency departments
Overcrowding
Length of stay
New factors
Algorithm
author_facet Guy Wachtel
Amir Elalouf
author_sort Guy Wachtel
title Addressing overcrowding in an emergency department: an approach for identifying and treating influential factors and a real-life application
title_short Addressing overcrowding in an emergency department: an approach for identifying and treating influential factors and a real-life application
title_full Addressing overcrowding in an emergency department: an approach for identifying and treating influential factors and a real-life application
title_fullStr Addressing overcrowding in an emergency department: an approach for identifying and treating influential factors and a real-life application
title_full_unstemmed Addressing overcrowding in an emergency department: an approach for identifying and treating influential factors and a real-life application
title_sort addressing overcrowding in an emergency department: an approach for identifying and treating influential factors and a real-life application
publisher BMC
series Israel Journal of Health Policy Research
issn 2045-4015
publishDate 2020-09-01
description Abstract Background Overcrowding in hospital emergency departments that arises from long length-of-stay is an unfortunate common occurrence. While some factors affecting length-of-stay are well known, there may be additional factors that have not yet been properly addressed. This research offers a method for emergency department managers to use available data from their departments to identify new factors that significantly influence emergency departments crowding and patient length-of-stay. Methods We propose an algorithm that can assist emergency department managers in determining which of these factors to address, given budgetary constraints. We implemented it in a case study which takes into account factors that are known to be influential, e.g., reason for arrival, occupancy in the emergency department, and arrival time, as well as factors that are explored for the first time in this paper, such as patient heart rate, the number of accompanying escorts, and the number of tests assigned to patients (e.g., blood tests and urinalysis). Results All the implemented and new factors are shown to have a significant influence on the length-of-stay and crowding. We also obtained additional support for our results by interviewing emergency departments physicians and nurses from various hospitals. Conclusions It is expected that, by taking all the above factors into consideration, emergency departments efficiency can be improved. The algorithm constructed here allows the choice of the most cost-effective factors to be improved, subject to a given budget. We have been able to derive practical recommendations that emergency departments managers might use to limit crowding and patient length-of-stay.
topic Emergency departments
Overcrowding
Length of stay
New factors
Algorithm
url http://link.springer.com/article/10.1186/s13584-020-00390-5
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