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Hospitalizations for Cardiovascular Diseases Sensitive to Primary Health Care in Paraná State, Brazil: A Bayesian Spatiotemporal Model.
Bonfim, Samile; Massago, Miyoko; de Carvalho Dutra, Amanda; Arruda, Matheus Henrique Beltrame; Oliveira, Fernanda Silva; Thomaz, Érika Bárbara Abreu Fonseca; de Souza, Eniuce Menezes; Nihei, Oscar Kenji; de Andrade, Luciano.
Afiliação
  • Bonfim S; Postgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil samileenf@gmail.com.
  • Massago M; Postgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
  • de Carvalho Dutra A; Postgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
  • Arruda MHB; Department of Medicine, State University of Maringá, Maringá, Paraná, Brazil.
  • Oliveira FS; Postgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
  • Thomaz ÉBAF; Department of Public Health, Federal University of Maranhão, São Luís, Maranhão, Brazil.
  • de Souza EM; Center for Exact Sciences, State University of Maringá, Maringá, Paraná, Brazil.
  • Nihei OK; Center for Education, Linguistics and Health, Western Paraná State University, Foz do Iguaçu, Paraná, Brazil.
  • de Andrade L; Postgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Ann Fam Med ; 22(2): 140-148, 2024.
Article em En | MEDLINE | ID: mdl-38527827
ABSTRACT

PURPOSE:

To 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.

METHODS:

We 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.

RESULTS:

There 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).

CONCLUSIONS:

The 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Ann Fam Med Assunto da revista: MEDICINA DE FAMILIA E COMUNIDADE Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Ann Fam Med Assunto da revista: MEDICINA DE FAMILIA E COMUNIDADE Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil