Cargando…

Analyzing Factors Affecting Emergency Department Length of Stay—Using a Competing Risk-accelerated Failure Time Model

Emergency department (ED) length of stay (LOS) is associated with ED crowding and related complications. Previous studies either analyzed single patient disposition groups or combined different endpoints as a whole. The aim of this study is to evaluate different effects of relevant factors affecting...

Descripción completa

Detalles Bibliográficos
Autores principales: Chaou, Chung-Hsien, Chiu, Te-Fa, Yen, Amy Ming-Fang, Ng, Chip-Jin, Chen, Hsiu-Hsi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4998795/
https://www.ncbi.nlm.nih.gov/pubmed/27057879
http://dx.doi.org/10.1097/MD.0000000000003263
_version_ 1782450008702844928
author Chaou, Chung-Hsien
Chiu, Te-Fa
Yen, Amy Ming-Fang
Ng, Chip-Jin
Chen, Hsiu-Hsi
author_facet Chaou, Chung-Hsien
Chiu, Te-Fa
Yen, Amy Ming-Fang
Ng, Chip-Jin
Chen, Hsiu-Hsi
author_sort Chaou, Chung-Hsien
collection PubMed
description Emergency department (ED) length of stay (LOS) is associated with ED crowding and related complications. Previous studies either analyzed single patient disposition groups or combined different endpoints as a whole. The aim of this study is to evaluate different effects of relevant factors affecting ED LOS among different patient disposition groups. This is a retrospective electronic data analysis. The ED LOS and relevant covariates of all patients between January 2013 and December 2013 were collected. A competing risk accelerated failure time model was used to compute endpoint type-specific time ratios (TRs) for ED LOS. A total of 149,472 patients was included for analysis with an overall medium ED LOS of 2.15 [interquartile range (IQR) = 6.51] hours. The medium LOS for discharged, admission, and mortality patients was 1.46 (IQR = 2.07), 11.3 (IQR = 33.2), and 7.53 (IQR = 28.0) hours, respectively. In multivariate analysis, age (TR = 1.012, P < 0.0001], higher acuity (triage level I vs level V, TR = 2.371, P < 0.0001), pediatric nontrauma (compared with adult nontrauma, TR = 3.084, P < 0.0001), transferred patients (TR = 2.712, P < 0.0001), and day shift arrival (compared with night shift, TR = 1.451, P < 0.0001) were associated with prolonged ED LOS in the discharged patient group. However, opposite results were noted for higher acuity (triage level I vs level V, TR = 0.532, P < 0.0001), pediatric nontrauma (TR = 0.375, P < 0.0001), transferred patients (TR = 0.852, P < 0.0001), and day shift arrival (TR = 0.88, P < 0.0001) in the admission patient group. Common influential factors such as age, patient entity, triage acuity level, or arrival time may have varying effects on different disposition groups of patients. These findings and the suggested model could be used for EDs to develop individually tailored approaches to minimize ED LOS and further improve ED crowding status.
format Online
Article
Text
id pubmed-4998795
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Wolters Kluwer Health
record_format MEDLINE/PubMed
spelling pubmed-49987952016-08-29 Analyzing Factors Affecting Emergency Department Length of Stay—Using a Competing Risk-accelerated Failure Time Model Chaou, Chung-Hsien Chiu, Te-Fa Yen, Amy Ming-Fang Ng, Chip-Jin Chen, Hsiu-Hsi Medicine (Baltimore) 3900 Emergency department (ED) length of stay (LOS) is associated with ED crowding and related complications. Previous studies either analyzed single patient disposition groups or combined different endpoints as a whole. The aim of this study is to evaluate different effects of relevant factors affecting ED LOS among different patient disposition groups. This is a retrospective electronic data analysis. The ED LOS and relevant covariates of all patients between January 2013 and December 2013 were collected. A competing risk accelerated failure time model was used to compute endpoint type-specific time ratios (TRs) for ED LOS. A total of 149,472 patients was included for analysis with an overall medium ED LOS of 2.15 [interquartile range (IQR) = 6.51] hours. The medium LOS for discharged, admission, and mortality patients was 1.46 (IQR = 2.07), 11.3 (IQR = 33.2), and 7.53 (IQR = 28.0) hours, respectively. In multivariate analysis, age (TR = 1.012, P < 0.0001], higher acuity (triage level I vs level V, TR = 2.371, P < 0.0001), pediatric nontrauma (compared with adult nontrauma, TR = 3.084, P < 0.0001), transferred patients (TR = 2.712, P < 0.0001), and day shift arrival (compared with night shift, TR = 1.451, P < 0.0001) were associated with prolonged ED LOS in the discharged patient group. However, opposite results were noted for higher acuity (triage level I vs level V, TR = 0.532, P < 0.0001), pediatric nontrauma (TR = 0.375, P < 0.0001), transferred patients (TR = 0.852, P < 0.0001), and day shift arrival (TR = 0.88, P < 0.0001) in the admission patient group. Common influential factors such as age, patient entity, triage acuity level, or arrival time may have varying effects on different disposition groups of patients. These findings and the suggested model could be used for EDs to develop individually tailored approaches to minimize ED LOS and further improve ED crowding status. Wolters Kluwer Health 2016-04-08 /pmc/articles/PMC4998795/ /pubmed/27057879 http://dx.doi.org/10.1097/MD.0000000000003263 Text en Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 3900
Chaou, Chung-Hsien
Chiu, Te-Fa
Yen, Amy Ming-Fang
Ng, Chip-Jin
Chen, Hsiu-Hsi
Analyzing Factors Affecting Emergency Department Length of Stay—Using a Competing Risk-accelerated Failure Time Model
title Analyzing Factors Affecting Emergency Department Length of Stay—Using a Competing Risk-accelerated Failure Time Model
title_full Analyzing Factors Affecting Emergency Department Length of Stay—Using a Competing Risk-accelerated Failure Time Model
title_fullStr Analyzing Factors Affecting Emergency Department Length of Stay—Using a Competing Risk-accelerated Failure Time Model
title_full_unstemmed Analyzing Factors Affecting Emergency Department Length of Stay—Using a Competing Risk-accelerated Failure Time Model
title_short Analyzing Factors Affecting Emergency Department Length of Stay—Using a Competing Risk-accelerated Failure Time Model
title_sort analyzing factors affecting emergency department length of stay—using a competing risk-accelerated failure time model
topic 3900
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4998795/
https://www.ncbi.nlm.nih.gov/pubmed/27057879
http://dx.doi.org/10.1097/MD.0000000000003263
work_keys_str_mv AT chaouchunghsien analyzingfactorsaffectingemergencydepartmentlengthofstayusingacompetingriskacceleratedfailuretimemodel
AT chiutefa analyzingfactorsaffectingemergencydepartmentlengthofstayusingacompetingriskacceleratedfailuretimemodel
AT yenamymingfang analyzingfactorsaffectingemergencydepartmentlengthofstayusingacompetingriskacceleratedfailuretimemodel
AT ngchipjin analyzingfactorsaffectingemergencydepartmentlengthofstayusingacompetingriskacceleratedfailuretimemodel
AT chenhsiuhsi analyzingfactorsaffectingemergencydepartmentlengthofstayusingacompetingriskacceleratedfailuretimemodel