Evidence map›Paper›PMID 37651749›Full record

ArticleAge and ageing2023

Individual and contextual risk factors for mortality in nursing home residents during the first wave of COVID-19 in France: a multilevel analysis of a nationwide cohort study.

Antoine Rachas, Roméo Fontaine, Martine Thomas, Jean-Marie Robine, Gaëtan Gavazzi, Marie Laurent, Laure Carcaillon-Bentata, Florence Canouï-Poitrine

Open access · hybridAbstract read
In one paragraph

Article in Age and ageing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 22% 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.

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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Observational
  2. Article
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

8 authors at 5 institutions in 2 countries.

Antoine RachasDirection de la Stratégie, des Etudes et des Statistiques, Département des études sur les pathologies et les patients, CNAM, F-75000 Paris, France.ORCID 0000-0001-9226-9071
Roméo FontaineINED, Mortality, Health and Epidemiology (UR5), F-93300 Aubervilliers, France.
Martine ThomasDirection de la Stratégie, des Etudes et des Statistiques, Département des études sur les pathologies et les patients, CNAM, F-75000 Paris, France.
Jean-Marie RobineINED, Mortality, Health and Epidemiology (UR5), F-93300 Aubervilliers, France.
Gaëtan GavazziGeriatric Department, Grenoble Alpes University Hospital, F-38000 Grenoble, France.
Marie LaurentUniv Paris Est Creteil, Inserm, IMRB U955, CEpiA Team, F-94000 Creteil, France.
Laure Carcaillon-BentataSanté Publique France (SpF), Direction des maladies non transmissibles et traumatismes, Unité Traumatismes, avancer en âge et maladies neurodégénératives, F-94410 Saint-Maurice, France.
Florence Canouï-PoitrineUniv Paris Est Creteil, Inserm, IMRB U955, CEpiA Team, F-94000 Creteil, France.
Centre National de la Recherche Scientifique · FRConservatoire National des Arts et Métiers · FRInserm · FRFidelity Investments (United States) · USSanté Publique France · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMortality amongst nursing home (NH) residents increased by 43% during the first wave of coronavirus disease 2019 (COVID-19). We estimated the 'contextual effect' on mortality, tried to explain it by NH characteristics and identified resident- and NH-level risk factors for mortality.

methodsThe contextual effect was measured for two cohorts of NH residents managed by the general scheme in metropolitan France (RESIDESMS data from 03/01/2020 to 05/31/2020 and 03/01/2019 to 05/31/2019) by the intraclass correlation coefficient (ICC) estimated from mixed-effects logistic regression.

resultsAmongst 385,300 residents (5,339 NHs) included in 2020 (median age 89 years, 25% men), 9.1% died, versus 6.7% of 379,926 residents (5,270 NHs) in 2019. In the empty model, the ICC was 9.3% in 2020 and 1.5% in 2019. Only the geographic location partially explained the heterogeneity observed in 2020 (ICC: 6.5% after adjustment). Associations with mortality were stronger in 2020 than in 2019 for male sex and diabetes and weaker for heart disease, chronic respiratory disease and residence <6 months. Mortality was higher in 2020 (15.1%) than 2019 (6.3%) in NHs with at least one death with a mention of COVID-19 and more heterogeneous (ICC: 8.0%) than in the others (mortality: 6.7% in both years; ICC: 1.1%).

conclusionOur results suggest that the COVID-19 crisis had a heterogeneous impact on mortality in NH residents and that geographic location explain a part of the contextual effect, which appears to have had little influence on mortality in NHs not being affected by the virus.

Indexed as

COVID-19Aged, 80 and overCohort StudiesFemaleFranceHumansMaleMultilevel AnalysisNursing HomesRisk FactorsCOVID-19mortalitynursing homeolder adultsolder people

Identifiers

PMID37651749
PMCPMC10471198
OpenAlexW4386306779

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.