PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 2, 2015European Journal of Emergency Medicine27 citations

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

View Full Paper
TPTobias PerdahlSASandra AxelssonPSPer Svensson

Key Result

Patient characteristics including age ≥80 (OR 2.76; 95% CI 2.52-3.02), age 65-79, female sex, and dyspnoea were significantly associated with the longest emergency department length of stay.

Study Design

Type

Cohort (n=19,503)

Multicenter

No

Structured PICO

P
Population
19,503 adult visits to the emergency department at Karolinska University Hospital in Solna, Sweden, between 8 a.m. and 9 p.m. during 2012
O
Outcome
Longest length of stay (LOS) in the emergency department (top quartile)

Elderly patients, females, and those presenting with dyspnea are at significantly higher risk for prolonged length of stay in the emergency department.

Main Result

Effect estimate: OR 2.76 (95% CI 2.52-3.02)

Limitations

  • Causality of the studied factors cannot be established
  • Role of additional factors needs clarification
  • Causality of the studied factors cannot be determined

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Perdahl et al. (2015) conducted a cohort in Emergency department visits (n=19,503). Patient characteristics (e.g., age ≥80) was evaluated on Longest quartile of ED length of stay (OR 2.76, 95% CI 2.52-3.02). Patient characteristics including age ≥80 (OR 2.76; 95% CI 2.52-3.02), age 65-79, female sex, and dyspnoea were significantly associated with the longest emergency department length of stay.

synapsesocial.com/papers/6a0deafdfb8c7be8ffba8868https://doi.org/10.1097/mej.0000000000000352
Ask AI
Helpful
Bookmark
Share
View Full Paper