Literature DB >> 26629764

Patient and organizational characteristics predict a long length of stay in the emergency department - a Swedish cohort study.

Tobias Perdahl1, Sandra Axelsson, Per Svensson, Therese Djärv.   

Abstract

BACKGROUND: Emergency departments (EDs) constitute a central part of the healthcare system that receives patients with complaints of varied urgency. A long length of stay (LOS) in the ED is associated with crowding, low patient satisfaction and poor patient outcomes. Therefore, it is important to understand the key drivers and patient characteristics associated with long LOS. AIMS: To identify patient-related and organization-related characteristics associated with the longest ED LOS.
METHODS: All adult visits (n=19 503) to the ED at Karolinska University Hospital in Solna, Sweden, between 8 a.m. and 9 p.m. during 2012 were divided into quartiles on the basis of their LOS. The quartile with the longest LOS (n=4876) was compared with the two intermediate quartiles (n=9752) and the shortest quartile (n=4875). Differences in patient and organizational characteristics were assessed using multivariate logistic regression models to achieve odds ratios (ORs) with 95% confidence intervals (CIs).
RESULTS: The patient-related factors associated with long LOS were female sex (OR 1.22, 95% CI 1.14-1.30), age 65-79 (OR 1.82, 95% CI 1.67-1.97), age 80 or older (OR 2.76, 95% CI 2.52-3.02) and the chief complaint of dyspnoea (OR 1.55, 95% CI 1.39-1.73).
CONCLUSION: Long LOS in the ED is associated with both patient and organizational characteristics and the elderly are at particular risk of long LOS. These insights may be used to improve patient outcome metrics and enhance ED efficiency. Further studies are needed to clarify the role of additional factors as well as the causality of the studied factors.

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Year:  2017        PMID: 26629764     DOI: 10.1097/MEJ.0000000000000352

Source DB:  PubMed          Journal:  Eur J Emerg Med        ISSN: 0969-9546            Impact factor:   2.799


  2 in total

1.  Does crowding influence emergency department treatment time and disposition?

Authors:  Nathan R Hoot; Rosa C Banuelos; Yashwant Chathampally; David J Robinson; Benjamin W Voronin; Kimberly A Chambers
Journal:  J Am Coll Emerg Physicians Open       Date:  2020-12-03

2.  Length of stay as quality indicator in emergency departments: analysis of determinants in the German Emergency Department Data Registry (AKTIN registry).

Authors:  Ronny Otto; Sabine Blaschke; Wiebke Schirrmeister; Susanne Drynda; Felix Walcher; Felix Greiner
Journal:  Intern Emerg Med       Date:  2022-01-06       Impact factor: 5.472

  2 in total

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