Evidence map›Paper›PMID 36141237›Full record

ReviewHealthcare (Basel, Switzerland)2022

Overcrowding in Emergency Department: Causes, Consequences, and Solutions-A Narrative Review.

Marina Sartini, Alessio Carbone, Alice Demartini, Luana Giribone, Martino Oliva, Anna Maria Spagnolo, Paolo Cremonesi, Francesco Canale, Maria Luisa Cristina

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07635680 (The DAUM Case-management Program for Frequent Users of the Nancy University Hospital Emergency Department), which is not on this map. Cited by 173 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
173citing papers in PubMed, 8 pooled it
64.5field-weighted citation impact, top 1% of its field
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.

NCT07635680 nacompletednot on this map

The DAUM Case-management Program for Frequent Users of the Nancy University Hospital Emergency Department: Evaluation Protocol

TypeinterventionalSponsorCentral Hospital, Nancy, FranceRan2022 to 2024Enrolled153ConditionsFrequent Users of Emergency Department (FUEDs)ArmsCase-management program
3 · Its place in the literature

Who cites it

173 citing papers in PubMed, 8 syntheses or guidelines pooled it, 287 citations in OpenAlex.

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  19. Subgroup Differences in Agreement Between an Algorithm Guided Large Language Model and Routine Emergency Department Triage.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  20. Review

113 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

9 authors at 2 institutions in 1 country.

Marina SartiniDepartment of Health Sciences, University of Genova, Via Pastore 1, 16132 Genoa, Italy.ORCID 0000-0002-7127-2893
Alessio CarboneDepartment of Health Sciences, University of Genova, Via Pastore 1, 16132 Genoa, Italy.
Alice DemartiniDepartment of Health Sciences, University of Genova, Via Pastore 1, 16132 Genoa, Italy.ORCID 0000-0003-0030-8518
Luana GiriboneDepartment of Health Sciences, University of Genova, Via Pastore 1, 16132 Genoa, Italy.ORCID 0000-0003-0435-1388
Martino OlivaDepartment of Health Sciences, University of Genova, Via Pastore 1, 16132 Genoa, Italy.
Anna Maria SpagnoloDepartment of Health Sciences, University of Genova, Via Pastore 1, 16132 Genoa, Italy.
Paolo CremonesiEmergency Department, Galliera Hospital, Mura delle Cappuccine 14, 16128 Genoa, Italy.
Francesco CanaleMedical Service Management, Galliera Hospital, Mura delle Cappuccine 14, 16128 Genoa, Italy.
Maria Luisa CristinaDepartment of Health Sciences, University of Genova, Via Pastore 1, 16132 Genoa, Italy.
Ente Ospedaliero Ospedali Galliera · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overcrowding in Emergency Departments (EDs) is a phenomenon that is now widespread globally and causes a significant negative impact that goes on to affect the entire hospital. This contributes to a number of consequences that can affect both the number of resources available and the quality of care. Overcrowding is due to a number of factors that in most cases lead to an increase in the number of people within the ED, an increase in mortality and morbidity, and a decrease in the ability to provide critical services in a timely manner to patients suffering from medical emergencies. This phenomenon results in the Emergency Department reaching, and in some cases exceeding, its optimal capacity. In this review, the main causes and consequences involving this phenomenon were collected, including the effect caused by the SARS-CoV-2 virus in recent years. Finally, special attention was paid to the main operational strategies that have been developed over the years, strategies that can be applied both at the ED level (microlevel strategies) and at the hospital level (macrolevel strategies).

Indexed as

emergency departmenthospital admissionovercrowding

Identifiers

PMID36141237
PMCPMC9498666
OpenAlexW4293103572

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.