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

Chung Hsien Chaou, Te Fa Chiu, Amy Ming Fang Yen, Chip Jin Ng, Hsiu Hsi Chen

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

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

Original languageEnglish
Article numbere3263
JournalMedicine (United States)
Volume95
Issue number14
DOIs
Publication statusPublished - Apr 1 2016

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Hospital Emergency Service
Length of Stay
Patient Admission
Multivariate Analysis
Mortality

ASJC Scopus subject areas

  • Medicine(all)

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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.

In: Medicine (United States), Vol. 95, No. 14, e3263, 01.04.2016.

Research output: Contribution to journalArticle

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