Evidence map›Paper›PMID 38527827›Full record

ArticleAnnals of family medicine

Hospitalizations for Cardiovascular Diseases Sensitive to Primary Health Care in Paraná State, Brazil: A Bayesian Spatiotemporal Model.

Samile Bonfim, Miyoko Massago, Amanda de Carvalho Dutra, Matheus Henrique Beltrame Arruda, Fernanda Silva Oliveira, Érika Bárbara Abreu Fonseca Thomaz, Eniuce Menezes de Souza, Oscar Kenji Nihei, Luciano de Andrade

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Article in Annals of family medicine. 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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5 · Who and what money

Authors and funding

9 authors.

Samile BonfimPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil samileenf@gmail.com.
Miyoko MassagoPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Amanda de Carvalho DutraPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Matheus Henrique Beltrame ArrudaDepartment of Medicine, State University of Maringá, Maringá, Paraná, Brazil.
Fernanda Silva OliveiraPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Érika Bárbara Abreu Fonseca ThomazDepartment of Public Health, Federal University of Maranhão, São Luís, Maranhão, Brazil.
Eniuce Menezes de SouzaCenter for Exact Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Oscar Kenji NiheiCenter for Education, Linguistics and Health, Western Paraná State University, Foz do Iguaçu, Paraná, Brazil.
Luciano de AndradePostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze spatiotemporal trends in hospitalizations for cardiovascular diseases (CVD) sensitive to primary health care (PHC) among individuals aged 50-69 years in Paraná State, Brazil, from 2014 to 2019 and investigate correlations between PHC services and the Social Development Index.

methodsWe conducted a cross-sectional ecological study using publicly available secondary data to analyze the municipal incidence of hospitalizations for CVD sensitive to PHC and to estimate the risk of hospitalization for this group of diseases and associated factors using hierarchical Bayesian spatiotemporal modeling with Markov chain Monte Carlo simulation.

resultsThere was a 5% decrease in the average rate of hospitalizations for PHC-sensitive CVD from 2014 to 2019. Regarding standardized hospitalization rate (SHR) according to population size, we found that no large municipality had an SHR >2. Likewise, a minority of these municipalities had SHR values of 1-2 (33%). However, many small and medium-sized municipalities had SHR values >2 (47% and 48%, respectively). A greater Social Development Index value served as a protective factor against hospitalizations, with a relative risk of 0.957 (95% credible interval, 0.929-0.984).

conclusionsThe annual risk of hospitalization decreased over time; however, small municipalities had the greatest rates of hospitalization, indicating an increase in health inequity. The inverse association between social development and hospitalizations for CVD sensitive to PHC raises questions about intersectionality in health care.

Indexed as

Cardiovascular DiseasesBayes TheoremBrazilCross-Sectional StudiesHospitalizationHumansPrimary Health Carecardiovascular diseasehealth care disparitieshospitalizationsprimary health careSocial Development Indexspatiotemporal analysis

Identifiers

PMID38527827
PMCPMC11237202

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