Evidence map›Paper›PMID 18433933›Full record

SynthesisAnnals of emergency medicine2008

Systematic review of emergency department crowding: causes, effects, and solutions.

Nathan R Hoot, Dominik Aronsky

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Annals of emergency medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03102216 (An Assessment of the Impact of Enhanced Workflow Patterns Associated With Upfront, Early Point-of-care Testing on Costs, Waiting and Disposition Times in an Emergency Department), which is not on this map. Cited by 512 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
512citing papers in PubMed, 9 pooled it
–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.

NCT03102216 nacompletednot on this mapstarted 2017, after this paper: background citation

An Assessment of the Impact of Enhanced Workflow Patterns Associated With Upfront, Early Point-of-care Testing on Costs, Waiting and Disposition Times in an Emergency Department

TypeinterventionalSponsorHelen Joseph HospitalRan2017 to 2017Enrolled1,134ConditionsEmergency Medicine, Point-of-Care TestingArmsiSTAT, CBC, ECG, Lodox
3 · Its place in the literature

Who cites it

512 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  8. Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review.International journal of environmental research and public health · 2022
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452 more citing papers are in PubMed but not listed here.

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

2 authors.

Nathan R HootDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA. nathan.hoot@vanderbilt.edu
Dominik Aronsky

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
Managing ED Diversion with Information TechnologyR21LM009002 · NLM · VANDERBILT UNIVERSITY · PI ARONSKY, DOMINIK · 2006 to 2007
$357k
NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM07347NLM NIH HHS LM07450-02NLM NIH HHS R21 LM009002NLM NIH HHS R21 LM009002-01NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

Emergency department (ED) crowding represents an international crisis that may affect the quality and access of health care. We conducted a comprehensive PubMed search to identify articles that (1) studied causes, effects, or solutions of ED crowding; (2) described data collection and analysis methodology; (3) occurred in a general ED setting; and (4) focused on everyday crowding. Two independent reviewers identified the relevant articles by consensus. We applied a 5-level quality assessment tool to grade the methodology of each study. From 4,271 abstracts and 188 full-text articles, the reviewers identified 93 articles meeting the inclusion criteria. A total of 33 articles studied causes, 27 articles studied effects, and 40 articles studied solutions of ED crowding. Commonly studied causes of crowding included nonurgent visits, "frequent-flyer" patients, influenza season, inadequate staffing, inpatient boarding, and hospital bed shortages. Commonly studied effects of crowding included patient mortality, transport delays, treatment delays, ambulance diversion, patient elopement, and financial effect. Commonly studied solutions of crowding included additional personnel, observation units, hospital bed access, nonurgent referrals, ambulance diversion, destination control, crowding measures, and queuing theory. The results illustrated the complex, multifaceted characteristics of the ED crowding problem. Additional high-quality studies may provide valuable contributions toward better understanding and alleviating the daily crisis. This structured overview of the literature may help to identify future directions for the crowding research agenda.

Indexed as

CrowdingEmergency Service, HospitalHealth Services AccessibilityHumansOperations ResearchQuality of Health Care

Identifiers

PMID18433933
PMCPMC7340358

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.