Evidence map›Paper›PMID 42085686›Full record

ReviewInteractive journal of medical research2026

Overcrowding Indicators in Emergency Departments Across Countries: Scoping Review.

Natasya Nur Mohd Nasir, Ku Anis Shazura Indera Putera, Nur Jihan Noris, Zalina Libasin, Muniamal Krishnan, Nor Fauziah Salaton, Kah Yee Lum, Nur Nadia Renu Abdullah, Intan Syafinaz Saimy

Abstract readReview
In one paragraph

Review in Interactive journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Natasya Nur Mohd Nasir *Institute for Health Management, National Institutes of Health, Block B1, No.1, Jalan Setia Murni U13/52, Section U13, Shah Alam, Selangor, 40170, Malaysia, 60 33628338 ext 8338.ORCID http://orcid.org/0009-0007-5634-4100
Ku Anis Shazura Indera Putera *Institute for Health Management, National Institutes of Health, Block B1, No.1, Jalan Setia Murni U13/52, Section U13, Shah Alam, Selangor, 40170, Malaysia, 60 33628338 ext 8338.ORCID http://orcid.org/0009-0004-0915-8311
Nur Jihan Noris *Institute for Health Management, National Institutes of Health, Block B1, No.1, Jalan Setia Murni U13/52, Section U13, Shah Alam, Selangor, 40170, Malaysia, 60 33628338 ext 8338.ORCID http://orcid.org/0000-0002-7377-2971
Zalina Libasin *Institute for Health Management, National Institutes of Health, Block B1, No.1, Jalan Setia Murni U13/52, Section U13, Shah Alam, Selangor, 40170, Malaysia, 60 33628338 ext 8338.ORCID http://orcid.org/0009-0001-7722-7268
Muniamal Krishnan *Institute for Health Management, National Institutes of Health, Block B1, No.1, Jalan Setia Murni U13/52, Section U13, Shah Alam, Selangor, 40170, Malaysia, 60 33628338 ext 8338.ORCID http://orcid.org/0000-0001-9265-6813
Nor Fauziah Salaton *Institute for Health Management, National Institutes of Health, Block B1, No.1, Jalan Setia Murni U13/52, Section U13, Shah Alam, Selangor, 40170, Malaysia, 60 33628338 ext 8338.ORCID http://orcid.org/0000-0003-0192-2720
Kah Yee Lum *Institute for Health Management, National Institutes of Health, Block B1, No.1, Jalan Setia Murni U13/52, Section U13, Shah Alam, Selangor, 40170, Malaysia, 60 33628338 ext 8338.ORCID http://orcid.org/0000-0002-6960-0982
Nur Nadia Renu Abdullah *Institute for Health Management, National Institutes of Health, Block B1, No.1, Jalan Setia Murni U13/52, Section U13, Shah Alam, Selangor, 40170, Malaysia, 60 33628338 ext 8338.ORCID http://orcid.org/0000-0001-8855-5120
Intan Syafinaz Saimy *Institute for Health Management, National Institutes of Health, Block B1, No.1, Jalan Setia Murni U13/52, Section U13, Shah Alam, Selangor, 40170, Malaysia, 60 33628338 ext 8338.ORCID http://orcid.org/0000-0003-2719-4290

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emergency department (ED) overcrowding is a persistent global health issue associated with adverse patient outcomes, diminished staff performance, and compromised health-system efficiency. Despite widespread recognition of the problem, there is no universally accepted approach to monitoring ED overcrowding. The use of disparate, nonstandardized indicators hampers cross-country comparison and the development of effective policies. A comprehensive synthesis of indicators currently used is essential to guide the adoption of robust, evidence-based metrics across diverse health care settings. Objective: This study aims to identify, consolidate, and categorize indicators that have been used internationally to assess ED overcrowding and to highlight gaps in their use. Methods: A comprehensive scoping review was conducted from October to November 2023 using four databases: PubMed, Scopus, Emerald Insight, and Google Scholar. Studies were systematically searched using predefined eligibility criteria. Level 1 and 2 screening were independently conducted by 9 researchers (NNMN, KASIP, NFS, NJN, MK, ZL, NNRA, LKY, and ISS) to minimize bias and enhance reliability, and discrepancies were resolved by consensus. A third reviewer (ISS) performed a full-text review, synthesis, and descriptive analysis. Indicators were categorized into input, throughput, and output. Input refers to factors driving ED demand, throughput encompasses internal ED processes such as triage, diagnostics, and treatment, and output addresses challenges in transferring patients to inpatient beds, such as bed shortages or delays. Descriptive analyses were then used to consolidate these indicators and to establish their relative importance. They were ranked based on frequency of reporting across diverse countries and health care settings. Results: Out of 1347 articles screened, 117 articles were included in the study. A total of 307 indicators were retrieved and then consolidated into 26 distinct indicators. The majority of indicators were classified within the throughput domain (209/307, 68%), followed by the output domain (62/307, 20%) and the input domain (36/307, 12%). The most common throughput indicator, which was frequently reported, was ED length of stay, cited 87 times, followed by left without being seen and waiting time, each reported 30 times. Length of stay consistently emerged as a primary marker of systemic bottlenecks and operational inefficiencies across health care systems. Conclusions: This review indicates that throughput measures, particularly length of stay, dominate current approaches to assessing ED overcrowding, whereas input and output indicators remain comparatively underrepresented. By consolidating 26 distinct indicators from 117 studies, this study provides a comprehensive evidence base to support the standardization of metrics for monitoring ED overcrowding internationally. These findings offer practical guidance for policymakers and health care leaders seeking to refine performance indicators, enhance benchmarking, and evaluate interventions aimed at improving patient flow. Further research should prioritize validation of underused indicators and the development of composite measures that better capture the complexity of ED crowding across diverse health care settings.

Indexed as

emergency departmentemergency department overcrowdingemergency indicatoremergency serviceglobal emergency overcrowdingovercrowding indicatorsPRISMA

Identifiers

PMID42085686
PMCPMC13143202

What OpenQuestion holds

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LicenceCC BY
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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.