Evidence map›Paper›PMID 36736100›Full record

Observational studySchizophrenia research2023

Epidemiology of infection, transmission and COVID-19 outcomes among mental health users and workers in a comprehensive network of long-term mental health facilities: Retrospective observational population-base study.

Manuel Canal-Rivero, Javier Vázquez-Hernández, Marta León-Gómez, Silvia Maraver-Ayala, Luis Fernández-Portes, Soraya Sánhez-Benítez, Nathalia Garrido-Torres, Miguel Ruiz-Veguilla, Benedicto Crespo-Facorro

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Schizophrenia research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 5 institutions in 1 country.

Manuel Canal-RiveroMental Health Service, Hospital Universitario Virgen del Rocío, Sevilla, Spain; Centro Investigación Biomédica en Red Salud Mental, CIBERSAM, Madrid, Spain; Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla, Seville, Spain.
Javier Vázquez-HernándezFundación Pública Andaluza para la Integración Social de Personas con Enfermedad Mental (FAISEM), Andalusia, Spain.
Marta León-GómezMental Health Service, Hospital Universitario Virgen del Rocío, Sevilla, Spain.
Silvia Maraver-AyalaFundación Pública Andaluza para la Integración Social de Personas con Enfermedad Mental (FAISEM), Andalusia, Spain.
Luis Fernández-PortesFundación Pública Andaluza para la Integración Social de Personas con Enfermedad Mental (FAISEM), Andalusia, Spain.
Soraya Sánhez-BenítezFundación Pública Andaluza para la Integración Social de Personas con Enfermedad Mental (FAISEM), Andalusia, Spain.
Nathalia Garrido-TorresMental Health Service, Hospital Universitario Virgen del Rocío, Sevilla, Spain; Centro Investigación Biomédica en Red Salud Mental, CIBERSAM, Madrid, Spain; Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla, Seville, Spain.
Miguel Ruiz-VeguillaMental Health Service, Hospital Universitario Virgen del Rocío, Sevilla, Spain; Centro Investigación Biomédica en Red Salud Mental, CIBERSAM, Madrid, Spain; Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla, Seville, Spain; Department of Psychiatry, Universidad de Sevilla, Spain. Electronic address: miguel.ruiz.veguilla.sspa@juntadeandalucia.es.
Benedicto Crespo-FacorroMental Health Service, Hospital Universitario Virgen del Rocío, Sevilla, Spain; Centro Investigación Biomédica en Red Salud Mental, CIBERSAM, Madrid, Spain; Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla, Seville, Spain; Department of Psychiatry, Universidad de Sevilla, Spain.
Fundación Pública Andaluza para la Gestión de la Investigación en Salud de Sevilla · ESHospital Universitario Virgen del Rocío · ESCentro de Investigación Biomédica en Red de Salud Mental · ESInstituto de Biomedicina de Sevilla · ESUniversidad de Sevilla · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA high Coronavirus Disease 19 (COVID-19) morbidity and mortality have been reported among users and workers of long-term care facilities. The main objective of this work was to explore the prevalence and temporal pattern of COVID-19 in comprehensive network of long-term mental health facilities in Spain. Secondly, we aimed to estimate the effect of having a severe mental health diagnosis on prevalence and COVID-19 outcomes.

methodsA cohort of 2552 participants were followed-up over a one-year. Sociodemographic and clinical data related to COVID-19 were recollected using a proforma. Frequency analyses were used to determine the prevalence of COVID-19 disease. Multivariable binary regression models sequentially adjusted by gender and age were employed to explore the potential role of severe mental health diagnosis on COVID-19 outcomes.

resultsWorkers had higher risk of testing positive than mental health users (odds ratio [OR] 1.57 [95 % CI 1.01-2.43; p < 0.05] who presented an equivalent risk of testing positive after accounting for age and gender (OR 1.62 [95 % CI 0.98-2.66; p = 0.06].

conclusionsThe significant lower prevalence of COVID-19 among mental health users could be explained by the measures implemented to prevent COVID-19 as well as by the possible role that antipsychotic treatment could play in the prevention of SARS-CoV-2 infection.

Indexed as

COVID-19Health FacilitiesHumansMental HealthRetrospective StudiesSARS-CoV-2COVID-19Mental healthMental health long-term facilitiesSARS-CoV-2

Identifiers

PMID36736100
PMCPMC9852313
OpenAlexW4317530438

What OpenQuestion holds

Textmetadata
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.