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Time Series Analysis of Emergency Department Length of Stay per 8-Hour Shift

INTRODUCTION: The mean emergency department (ED) length of stay (LOS) is considered a measure of crowding. This paper measures the association between LOS and factors that potentially contribute to LOS measured over consecutive shifts in the ED: shift 1 (7:00 am to 3:00 pm), shift 2 (3:00 pm to 11:0...

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Autores principales: Rathlev, Niels K., Obendorfer, Dan, White, Laura F., Rebholz, Casey, Magauran, Brendan, Baker, Willie, Ulrich, Andrew, Fisher, Linda, Olshaker, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Department of Emergency Medicine, University of California, Irvine 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3415804/
https://www.ncbi.nlm.nih.gov/pubmed/22900106
http://dx.doi.org/10.5811/westjem.2011.7.6743
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author Rathlev, Niels K.
Obendorfer, Dan
White, Laura F.
Rebholz, Casey
Magauran, Brendan
Baker, Willie
Ulrich, Andrew
Fisher, Linda
Olshaker, Jonathan
author_facet Rathlev, Niels K.
Obendorfer, Dan
White, Laura F.
Rebholz, Casey
Magauran, Brendan
Baker, Willie
Ulrich, Andrew
Fisher, Linda
Olshaker, Jonathan
author_sort Rathlev, Niels K.
collection PubMed
description INTRODUCTION: The mean emergency department (ED) length of stay (LOS) is considered a measure of crowding. This paper measures the association between LOS and factors that potentially contribute to LOS measured over consecutive shifts in the ED: shift 1 (7:00 am to 3:00 pm), shift 2 (3:00 pm to 11:00 pm), and shift 3 (11:00 pm to 7:00 am). METHODS: Setting: University, inner-city teaching hospital. Patients: 91,643 adult ED patients between October 12, 2005 and April 30, 2007. Design: For each shift, we measured the numbers of (1) ED nurses on duty, (2) discharges, (3) discharges on the previous shift, (4) resuscitation cases, (5) admissions, (6) intensive care unit (ICU) admissions, and (7) LOS on the previous shift. For each 24-hour period, we measured the (1) number of elective surgical admissions and (2) hospital occupancy. We used autoregressive integrated moving average time series analysis to retrospectively measure the association between LOS and the covariates. RESULTS: For all 3 shifts, LOS in minutes increased by 1.08 (95% confidence interval 0.68, 1.50) for every additional 1% increase in hospital occupancy. For every additional admission from the ED, LOS in minutes increased by 3.88 (2.81, 4.95) on shift 1, 2.88 (1.54, 3.14) on shift 2, and 4.91 (2.29, 7.53) on shift 3. LOS in minutes increased 14.27 (2.01, 26.52) when 3 or more patients were admitted to the ICU on shift 1. The numbers of nurses, ED discharges on the previous shift, resuscitation cases, and elective surgical admissions were not associated with LOS on any shift. CONCLUSION: Key factors associated with LOS include hospital occupancy and the number of hospital admissions that originate in the ED. This particularly applies to ED patients who are admitted to the ICU.
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spelling pubmed-34158042012-08-16 Time Series Analysis of Emergency Department Length of Stay per 8-Hour Shift Rathlev, Niels K. Obendorfer, Dan White, Laura F. Rebholz, Casey Magauran, Brendan Baker, Willie Ulrich, Andrew Fisher, Linda Olshaker, Jonathan West J Emerg Med Ed Administration INTRODUCTION: The mean emergency department (ED) length of stay (LOS) is considered a measure of crowding. This paper measures the association between LOS and factors that potentially contribute to LOS measured over consecutive shifts in the ED: shift 1 (7:00 am to 3:00 pm), shift 2 (3:00 pm to 11:00 pm), and shift 3 (11:00 pm to 7:00 am). METHODS: Setting: University, inner-city teaching hospital. Patients: 91,643 adult ED patients between October 12, 2005 and April 30, 2007. Design: For each shift, we measured the numbers of (1) ED nurses on duty, (2) discharges, (3) discharges on the previous shift, (4) resuscitation cases, (5) admissions, (6) intensive care unit (ICU) admissions, and (7) LOS on the previous shift. For each 24-hour period, we measured the (1) number of elective surgical admissions and (2) hospital occupancy. We used autoregressive integrated moving average time series analysis to retrospectively measure the association between LOS and the covariates. RESULTS: For all 3 shifts, LOS in minutes increased by 1.08 (95% confidence interval 0.68, 1.50) for every additional 1% increase in hospital occupancy. For every additional admission from the ED, LOS in minutes increased by 3.88 (2.81, 4.95) on shift 1, 2.88 (1.54, 3.14) on shift 2, and 4.91 (2.29, 7.53) on shift 3. LOS in minutes increased 14.27 (2.01, 26.52) when 3 or more patients were admitted to the ICU on shift 1. The numbers of nurses, ED discharges on the previous shift, resuscitation cases, and elective surgical admissions were not associated with LOS on any shift. CONCLUSION: Key factors associated with LOS include hospital occupancy and the number of hospital admissions that originate in the ED. This particularly applies to ED patients who are admitted to the ICU. Department of Emergency Medicine, University of California, Irvine 2012-05 /pmc/articles/PMC3415804/ /pubmed/22900106 http://dx.doi.org/10.5811/westjem.2011.7.6743 Text en the authors http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Ed Administration
Rathlev, Niels K.
Obendorfer, Dan
White, Laura F.
Rebholz, Casey
Magauran, Brendan
Baker, Willie
Ulrich, Andrew
Fisher, Linda
Olshaker, Jonathan
Time Series Analysis of Emergency Department Length of Stay per 8-Hour Shift
title Time Series Analysis of Emergency Department Length of Stay per 8-Hour Shift
title_full Time Series Analysis of Emergency Department Length of Stay per 8-Hour Shift
title_fullStr Time Series Analysis of Emergency Department Length of Stay per 8-Hour Shift
title_full_unstemmed Time Series Analysis of Emergency Department Length of Stay per 8-Hour Shift
title_short Time Series Analysis of Emergency Department Length of Stay per 8-Hour Shift
title_sort time series analysis of emergency department length of stay per 8-hour shift
topic Ed Administration
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3415804/
https://www.ncbi.nlm.nih.gov/pubmed/22900106
http://dx.doi.org/10.5811/westjem.2011.7.6743
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