Evidence map›Paper›PMID 39273751›Full record

ArticleHealthcare (Basel, Switzerland)2024

Preparedness of Nursing Homes: A Typology and Analysis of Responses to the COVID-19 Crisis in a French Network.

Sylvain Gautier, Fabrice Mbalayen, Valentine Dutheillet de Lamothe, Biné Mariam Ndiongue, Manon Pondjikli, Gilles Berrut, Priscilla Clôt-Faybesse, Nicolas Jurado, Marie-Anne Fourrier, Didier Armaingaud and 2 more

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Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

12 authors.

Sylvain GautierCESP, Inserm U1018, University of Paris-Saclay, University of Versailles Saint-Quentin-en-Yvelines, 94800 Villejuif, France.
Fabrice MbalayenCESP, Inserm U1018, University of Paris-Saclay, University of Versailles Saint-Quentin-en-Yvelines, 94800 Villejuif, France.
Valentine Dutheillet de LamotheGérontopôle Autonomie et Longévité des Pays de la Loire, 44000 Nantes, France.
Biné Mariam NdiongueFondation Clariane, 75008 Paris, France.
Manon PondjikliGérontopôle Autonomie et Longévité des Pays de la Loire, 44000 Nantes, France.
Gilles BerrutGérontopôle Autonomie et Longévité des Pays de la Loire, 44000 Nantes, France.
Priscilla Clôt-FaybesseDirection Médicale, Clariane France, 75008 Paris, France.
Nicolas JuradoFondation Clariane, 75008 Paris, France.
Marie-Anne FourrierFondation Clariane, 75008 Paris, France.
Didier ArmaingaudFondation Clariane, 75008 Paris, France.
Elisabeth Delarocque-AstagneauCESP, Inserm U1018, University of Paris-Saclay, University of Versailles Saint-Quentin-en-Yvelines, 94800 Villejuif, France.
Loïc JosseranCESP, Inserm U1018, University of Paris-Saclay, University of Versailles Saint-Quentin-en-Yvelines, 94800 Villejuif, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreparing healthcare systems for emergencies is crucial to maintaining healthcare quality. Nursing homes (NHs) require tailored emergency plans. This article aims to develop a typology of French private NHs and study their early COVID-19 responses and mortality outcomes.

methodsWe conducted a cross-sectional survey among NHs of a French network consisting of 290 facilities during the first wave of the COVID-19 pandemic. A Hierarchical Clustering on Principal Components (HCPC) was conducted to develop the typology of the NHs. Association tests were used to analyze the relationships between the typology, prevention and control measures, COVID-19 mortality, and the satisfaction of hospitalization requests.

resultsThe 290 NHs vary in size, services, and location characteristics. The HCPC identified three clusters: large urban NHs with low levels of primary care (Cluster 1), small rural NHs (Cluster 2), and medium urban NHs with high levels of primary care (Cluster 3). The COVID-19 outcomes and response measures differed by cluster, with Clusters 1 and 2 experiencing higher mortality rates. Nearly all the NHs implemented preventive measures, but the timing and extent varied.

conclusionsThis typology could help in better preparing NHs for future health emergencies, allowing for targeted resource allocation and tailored adaptations. It underscores the importance of primary care territorial structuring in managing health crises.

Indexed as

COVID-19 crisisemergency preparednesshealthcare system resiliencehierarchical clusteringnursing homesprevention and control measuresprimary care integration

Identifiers

PMID39273751
PMCPMC11395430

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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.