Primary health care performance according to clusters of convergent municipalities in the state of São Paulo

Detalhes bibliográficos
Autor(a) principal: Pinheiro Junior,Raimundo Valdemy Borges
Data de Publicação: 2022
Outros Autores: Carneiro Junior,Nivaldo, Sala,Arnaldo, Luppi,Carla Gianna, Schveitzer,Mariana Cabral, Andrade,Marta Campagnoni, Rufino,Edson, Fogaça,Lissandra Zanovelo, Simões,Oziris, Wagner,Gabriela Arantes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de epidemiologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100414
Resumo: ABSTRACT: 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.
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spelling Primary health care performance according to clusters of convergent municipalities in the state of São PauloPrimary health careHealth status indicatorsOutcome and process assessment, health careCluster analysesABSTRACT: 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.Associação Brasileira de Saúde Coletiva2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100414Revista Brasileira de Epidemiologia v.25 2022reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1980-549720220017info:eu-repo/semantics/openAccessPinheiro Junior,Raimundo Valdemy BorgesCarneiro Junior,NivaldoSala,ArnaldoLuppi,Carla GiannaSchveitzer,Mariana CabralAndrade,Marta CampagnoniRufino,EdsonFogaça,Lissandra ZanoveloSimões,OzirisWagner,Gabriela Aranteseng2022-07-01T00:00:00Zoai:scielo:S1415-790X2022000100414Revistahttp://www.scielo.br/rbepidhttps://old.scielo.br/oai/scielo-oai.php||revbrepi@usp.br1980-54971415-790Xopendoar:2022-07-01T00:00Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false
dc.title.none.fl_str_mv Primary health care performance according to clusters of convergent municipalities in the state of São Paulo
title Primary health care performance according to clusters of convergent municipalities in the state of São Paulo
spellingShingle Primary health care performance according to clusters of convergent municipalities in the state of São Paulo
Pinheiro Junior,Raimundo Valdemy Borges
Primary health care
Health status indicators
Outcome and process assessment, health care
Cluster analyses
title_short Primary health care performance according to clusters of convergent municipalities in the state of São Paulo
title_full Primary health care performance according to clusters of convergent municipalities in the state of São Paulo
title_fullStr Primary health care performance according to clusters of convergent municipalities in the state of São Paulo
title_full_unstemmed Primary health care performance according to clusters of convergent municipalities in the state of São Paulo
title_sort Primary health care performance according to clusters of convergent municipalities in the state of São Paulo
author Pinheiro Junior,Raimundo Valdemy Borges
author_facet 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
author_role author
author2 Carneiro Junior,Nivaldo
Sala,Arnaldo
Luppi,Carla Gianna
Schveitzer,Mariana Cabral
Andrade,Marta Campagnoni
Rufino,Edson
Fogaça,Lissandra Zanovelo
Simões,Oziris
Wagner,Gabriela Arantes
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv 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
dc.subject.por.fl_str_mv Primary health care
Health status indicators
Outcome and process assessment, health care
Cluster analyses
topic Primary health care
Health status indicators
Outcome and process assessment, health care
Cluster analyses
description ABSTRACT: 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100414
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1980-549720220017
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dc.publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
dc.source.none.fl_str_mv Revista Brasileira de Epidemiologia v.25 2022
reponame:Revista brasileira de epidemiologia (Online)
instname:Associação Brasileira de Saúde Coletiva (ABRASCO)
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instname_str Associação Brasileira de Saúde Coletiva (ABRASCO)
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reponame_str Revista brasileira de epidemiologia (Online)
collection Revista brasileira de epidemiologia (Online)
repository.name.fl_str_mv Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)
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