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Primary health care performance according to clusters of convergent municipalities in the state of São Paulo.
Pinheiro Junior, Raimundo Valdemy Borges; Carneiro Junior, Nivaldo; Sala, Arnaldo; Luppi, Carla Gianna; Schveitzer, Mariana Cabral; Andrade, Marta Campagnoni; Rufino, Edson; Fogaça, Lissandra Zanovelo; Simões, Oziris; Wagner, Gabriela Arantes.
Afiliação
  • Pinheiro Junior RVB; Universidade Federal de São Paulo, Department of Preventive Medicine - São Paulo (SP), Brazil.
  • Carneiro Junior N; Faculdade de Ciências Médicas da Santa Casa de São Paulo, Department of Public Health - São Paulo (SP), Brazil.
  • Sala A; Faculdade de Ciências Médicas da Santa Casa de São Paulo, Department of Public Health - São Paulo (SP), Brazil.
  • Luppi CG; São Paulo State Health Department - São Paulo (SP), Brazil.
  • Schveitzer MC; Universidade Federal de São Paulo, Department of Preventive Medicine - São Paulo (SP), Brazil.
  • Andrade MC; Universidade Federal de São Paulo, Department of Preventive Medicine - São Paulo (SP), Brazil.
  • Rufino E; Faculdade de Ciências Médicas da Santa Casa de São Paulo, Department of Public Health - São Paulo (SP), Brazil.
  • Fogaça LZ; Faculdade de Ciências Médicas da Santa Casa de São Paulo, Department of Public Health - São Paulo (SP), Brazil.
  • Simões O; Universidade Federal de São Paulo, Department of Preventive Medicine - São Paulo (SP), Brazil.
  • Wagner GA; Faculdade de Ciências Médicas da Santa Casa de São Paulo, Department of Public Health - São Paulo (SP), Brazil.
Rev Bras Epidemiol ; 25: e220017, 2022.
Article em En, Pt | MEDLINE | ID: mdl-35830065
OBJECTIVE: To describe the performance of Primary Health Care, according to conglomerates of São Paulo cities that present homogeneous indicators. METHODS: This is a descriptive study, based on secondary data extracted from official sources of the Unified Health System, for the year 2018. An analysis matrix was created, with the proposition of performance (access, effectiveness and adequacy) and context indicators (population, health determinants and financing) selected and organized in dimensions and sub-dimensions. Cluster Analysis was used to identify the groups of homogeneous municipalities. RESULTS: 645 municipalities were divided in 6 conglomerates. Clusters 2 and 3 were formed predominantly by small municipalities with greater access to health; cluster 3 has less social vulnerability and greater investment in health. Clusters 1, 4 and 5 were formed by the largest municipalities with less access to health; cluster 4 presents greater social vulnerability, less coverage of private health plans and a greater percentage of health resources; cluster 5 was characterized by greater Gross Domestic Product per capita and greater coverage of private health plans. Cluster 6, formed by the city of São Paulo, was a particular case. Cluster 2 drew attention, as it was shown to have increased coverage, but signaled lower efficacy and adequacy levels. Cluster 3 had the best performance among all clusters. CONCLUSION: These findings can support regional and municipal management, given the complexity of the territory of São Paulo, pointing to scenarios that demand broader public management initiatives.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção Primária à Saúde / Programas Governamentais Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En / Pt Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção Primária à Saúde / Programas Governamentais Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En / Pt Ano de publicação: 2022 Tipo de documento: Article