Evidence map›Paper›PMID 34090330›Full record

ArticleBMC medical research methodology2021

Discovering the underlying typology of emergency departments.

Marine Demarquet, Laurie Fraticelli, Julie Freyssenge, Clément Claustre, Mikaël Martinez, Jonathan Duchenne, Carlos El Khoury, Abdesslam Redjaline, Karim Tazarourte

Abstract read
In one paragraph

Article in BMC medical research methodology, 2021. 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.

Marine DemarquetCentre Hospitalier de Fleyriat, Bourg-en-Bresse, France.
Laurie FraticelliObservatoire Régional Des Urgences (ORU), Agence Régionale de Santé Auvergne Rhône-Alpes, Lyon, France. l.fraticelli@resuval.fr.
Julie FreyssengeObservatoire Régional Des Urgences (ORU), Agence Régionale de Santé Auvergne Rhône-Alpes, Lyon, France.
Clément ClaustreRESCUe-RESUVal Network, Hospital Center Lucien Hussel, Montée Docteur Maurice Chapuis, 38200, Vienne, France.
Mikaël MartinezObservatoire Régional Des Urgences (ORU), Agence Régionale de Santé Auvergne Rhône-Alpes, Lyon, France.
Jonathan DuchenneRAMU Network, Aurillac, France.
Carlos El KhouryRESCUe-RESUVal Network, Hospital Center Lucien Hussel, Montée Docteur Maurice Chapuis, 38200, Vienne, France.
Abdesslam RedjalineObservatoire Régional Des Urgences (ORU), Agence Régionale de Santé Auvergne Rhône-Alpes, Lyon, France.
Karim TazarourteObservatoire Régional Des Urgences (ORU), Agence Régionale de Santé Auvergne Rhône-Alpes, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe hypothesized that monitoring the volume of activity and overall performance indicators is not sufficient to understand the underlying differences between emergency departments. We aimed to understand the underlying common characteristics of emergency departments and map their typology in order to propose adaptive solutions, that would take into account territorial specificities and manage existing resources.

methodsWe applied a multifactorial analysis based on input data at three levels; 1) the health care available in the area surrounding the emergency departments, 2) the level of medical technicality of the hospitals and 3) the profile of emergency department visits.

resultsWe included 73 emergency departments in this study, representing 93.6% of the emergency departments in our region and seven groups were retained. The smallest group (n = 5) included both public and private structures with low volumes of activity. These medical structures were associated with the shortest length of stay and one of the lowest hospitalisation rates. The largest group (n = 21) included only public structures in peri-urban areas, which were associated with the highest rate of hospitalization in the region. The surrounding population was representative of the regional population, but the patients were older.

conclusionsThis approach represents a systemic response to target the organisational needs and constraints, propose appropriate solutions and adjust the financial resources allocated to hospitals. Future policies to improve care delivery may benefit from stratifying solutions and performance objectives depending on these groups.

Indexed as

Emergency Service, HospitalHospitalizationDelivery of Health CareHospitalsHumansEmergency departmentFactor analysisOrganisationTerritoryTypology

Identifiers

PMID34090330
PMCPMC8180120

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.