Evidence map›Paper›PMID 40491543›Full record

ReviewJournal of multidisciplinary healthcare2025

An Updated Scoping Review of Factors Associated with Length of Stay in Emergency Department.

Kurhayati Kurhayati, Etika Emaliyawati, Yanny Trisyani

Abstract readReview
In one paragraph

Review in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kurhayati KurhayatiPostgraduate Nursing Program, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia.
Etika EmaliyawatiDepartment of Emergency and Critical Care Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia.ORCID 0000-0002-9123-4843
Yanny TrisyaniDepartment of Emergency and Critical Care Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia.ORCID 0000-0002-4862-4950

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Emergency Department (ED) is important to the hospital healthcare system. However, increasing patient visits to the ED have increased the length of stay (LOS), which contributes to overcrowding, resource constraints, and decreased quality of care. Factors affecting LOS are complex and involve patient characteristics, hospital operations, and health system policies. Purpose: This review aimed to explore the factors influencing ED LOS. Methods: This study employed a scoping review with the PRISMA-ScR approach, analyzing articles from PubMed, Scopus, Taylor & Francis, and EBSCOhost databases published between 2022 and 2025. The keywords used were Emergency department patients OR ED patients OR Hospital admissions OR Emergency visits AND Length of stay OR hospital stay AND Predictor OR Factor. The quality appraisal of the articles was assessed using the Joanna Briggs Institute critical evaluation tool. Data were analyzed using descriptive qualitative and thematic analysis. Results: Factors influencing LOS in the ED were categorized into five main categories: (1) Patient characteristics (advanced age, male gender, comorbidities, and specific clinical conditions such as sepsis and blood diseases); (2) Time and environmental factors (nighttime, weekend, and winter visits); (3) Hospital and health system factors (hospital type, bed capacity, insurance status, and triage severity); (4) Diagnostic and treatment processes (waiting times for radiology and laboratory examinations, delays in specialist consultations, and limited inpatient beds); and (5) Patient arrival mode (arriving by ambulance or referred from another hospital). Conclusion: Longer LOS in the ED is influenced by various multidimensional factors that interact with each other. To reduce patient stays in the ED, efforts to optimize triage, improve diagnostic efficiency, and strengthen coordination between hospital units are needed. Evidence-based strategies such as digitizing medical records and predictive analytics can help improve service efficiency and reduce ED congestion.

Indexed as

emergency departmentlength of stayovercrowdingpredictorsservice efficiency

Identifiers

PMID40491543
PMCPMC12146896

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.