Evidence map›Paper›PMID 35018125›Full record

ReviewOpen access emergency medicine : OAEM2022

Measures of Emergency Department Crowding, a Systematic Review. How to Make Sense of a Long List.

Samer Badr, Andrew Nyce, Taha Awan, Dennise Cortes, Cyrus Mowdawalla, Jean-Sebastien Rachoin

Abstract readReview
In one paragraph

Review in Open access emergency medicine : OAEM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Factors affecting time-to-disposition at a district hospital emergency centre in Cape Town, South Africa.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Evaluation of the performance of telephone triage service.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  17. Article
  18. Emergency Department Boarding, Crowding, and Error.Journal of the American College of Emergency Physicians open · 2025
    Article
  19. Article
  20. Review
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

6 authors.

Samer BadrDivision of Hospital Medicine, Cooper University Health Care, Camden, NJ, USA.ORCID 0000-0001-6276-5402
Andrew NyceDepartment of Emergency Medicine, Cooper University Health Care, Camden, NJ, USA.
Taha AwanDepartment of Medical Education, Cooper Medical School of Rowan University, Camden, NJ, USA.
Dennise CortesDepartment of Medical Education, Cooper Medical School of Rowan University, Camden, NJ, USA.
Cyrus MowdawallaDepartment of Medical Education, Cooper Medical School of Rowan University, Camden, NJ, USA.
Jean-Sebastien RachoinDivision of Hospital Medicine, Cooper University Health Care, Camden, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergency department (ED) crowding, a common and serious phenomenon in many countries, lacks standardized definition and measurement methods. This systematic review critically analyzes the most commonly studied ED crowding measures. We followed the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines. We searched PubMed/Medline Database for all studies published in English from January 1st, 1990, until December 1st, 2020. We used the National Institute of Health (NIH) Quality Assessment Tool to grade the included studies. The initial search yielded 2293 titles and abstracts, of whom we thoroughly reviewed 109 studies, then, after adding seven additional, included 90 in the final analysis. We excluded simple surveys, reviews, opinions, case reports, and letters to the editors. We included relevant papers published in English from 1990 to 2020. We did not grade any study as poor and graded 18 as fair and 72 as good. Most studies were conducted in the USA. The most studied crowding measures were the ED occupancy, the ED length of stay, and the ED volume. The most heterogeneous crowding measures were the boarding time and number of boarders. Except for the National ED Overcrowding Scale (NEDOCS) and the Emergency Department Work Index (EDWIN) scores, the studied measures are easy to calculate and communicate. Quality of care was the most studied outcome. The EDWIN and NEDOCS had no studies with the outcome mortality. The ED length of stay had no studies with the outcome perception of care. ED crowding was often associated with worse outcomes: higher mortality in 45% of the studies, worse quality of care in 75%, and a worse perception of care in 100%. The ED occupancy, ED volume, and ED length of stay are easy to measure, calculate and communicate, are homogenous in their definition, and were the most studied measures.

Indexed as

boardinglength of stayoccupancyovercrowdingvolumewaiting room

Identifiers

PMID35018125
PMCPMC8742612

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.