Evidence map›Paper›PMID 35696404›Full record

ArticlePloS one2022

Inequities in the incidence and mortality due to COVID-19 in nursing homes in Barcelona by characteristics of the nursing homes.

Mayara Louise Torres, David Palma Díaz, Alba Oliver-Parra, Joan-Pau Millet, Delfí Cosialls, Montserrat Guillaumes, Cristina Rius, Hugo Vásquez-Vera

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Observational
  2. Review
  3. Observational
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Mayara Louise TorresUniversitat Pompeu Fabra, Barcelona, Catalonia, Spain.ORCID 0000-0001-9928-2279
David Palma DíazServei d'Epidemiologia, Agència de Salut Pùblica de Barcelona, Barcelona, Catalonia, Spain.
Alba Oliver-ParraConsorci Sanitari de Barcelona, Barcelona, Catalonia, Spain.ORCID 0000-0002-8031-5218
Joan-Pau MilletServei d'Epidemiologia, Agència de Salut Pùblica de Barcelona, Barcelona, Catalonia, Spain.
Delfí CosiallsConsorci Sanitari de Barcelona, Barcelona, Catalonia, Spain.
Montserrat GuillaumesServei d'Epidemiologia, Agència de Salut Pùblica de Barcelona, Barcelona, Catalonia, Spain.
Cristina RiusServei d'Epidemiologia, Agència de Salut Pùblica de Barcelona, Barcelona, Catalonia, Spain.
Hugo Vásquez-VeraServei d'Epidemiologia, Agència de Salut Pùblica de Barcelona, Barcelona, Catalonia, Spain.
Agència de Salut Pública de Catalunya · ESConsorci Sanitari Garraf · ESUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResidents of Nursing Homes (NHs) have suffered greater impacts from the COVID-19 pandemic. However, the rates of COVID-19 in these institutions are heterogeneously distributed. Describing and understanding the structural, functional, and socioeconomic differences between NHs is extremely important to avoid new outbreaks.

objectivesAnalyze inequalities in the cumulative incidences (CIs) and in the mortality rates (MRs) due to COVID-19 in the NHs of Barcelona based on the characteristics of the NHs.

methodsExploratory ecological study of 232 NHs. The dependent variables were the cumulative incidence and mortality rate due to COVID-19 in NHs between March and June 2020. Structural variables of the NHs were evaluated such as neighborhood socioeconomic position (SEP), isolation and sectorization capacity, occupancy, overcrowding and ownership.

resultsThe cumulative incidence and mortality rate were higher in the low SEP neighborhoods and lower in those of high SEP neighborhoods. Regarding the isolation and sectorization capacity, Type B NHs had a higher risk of becoming infected and dying, while Type C had a lower risk of dying than Type A. Greater overcrowding was associated with greater morbidity and mortality, and higher occupancy was associated with higher incidence. The risk of becoming infected and dying in public NHs was significantly higher than for-profit NH.

conclusionsThe social components together with the functional and infrastructure characteristics of the NHs influence the cumulative incidence and the mortality rate by COVID-19. It is necessary to redefine the care model in the NHs to guarantee the health of the residents.

Indexed as

COVID-19Health Facilities, ProprietaryHumansIncidenceNursing HomesPandemics

Identifiers

PMID35696404
PMCPMC9191699
OpenAlexW4282591948

What OpenQuestion holds

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LicenceCC BY
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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.