Evaluation performance in health regions in Brazil
Abstract Objectives: To propose a regional synthetic indicator (ISR) to evaluate the health system performance in Brazilian regions based on a national database source available free of charge in a global network of computers. Methods: a cross-sectional study using secondary data, considered seven variables of five dimensions in the health system (population's health conditions, health system coverage, financing, human resources and SUS production) analyzed from a survey of 438 Brazilian regions and adopted factor analysis and cluster models, conditioned by variables, such as: socioeconomic development, offering and service complexity and which resulted in a grouping of five strata. Results: mapping and scheduling based on ISR in health regions in Brazil and a detailed analysis of different indicators that compose them. The regions that showed better perfor-mance are in the Southeast, South and Midwest. Conclusions: This article sums efforts of other authors to extend the evaluation studies in health systems in a regional level. In addition, it is expected that the researches broaden their scope and implement the discussions about the process of regionalization in order to provide health policies, a universalized access and care comprehensiveness.
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Instituto de Medicina Integral Prof. Fernando Figueira
2017
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oai:scielo:S1519-382920170006000122017-12-05Evaluation performance in health regions in BrazilUchimura,Liza Yurie TeruyaFelisberto,EronildoFusaro,Edgar RodriguesFerreira,Maria PaulaViana,Ana Luiza d' Ávila Regionalization Health evaluation Health management Abstract Objectives: To propose a regional synthetic indicator (ISR) to evaluate the health system performance in Brazilian regions based on a national database source available free of charge in a global network of computers. Methods: a cross-sectional study using secondary data, considered seven variables of five dimensions in the health system (population's health conditions, health system coverage, financing, human resources and SUS production) analyzed from a survey of 438 Brazilian regions and adopted factor analysis and cluster models, conditioned by variables, such as: socioeconomic development, offering and service complexity and which resulted in a grouping of five strata. Results: mapping and scheduling based on ISR in health regions in Brazil and a detailed analysis of different indicators that compose them. The regions that showed better perfor-mance are in the Southeast, South and Midwest. Conclusions: This article sums efforts of other authors to extend the evaluation studies in health systems in a regional level. In addition, it is expected that the researches broaden their scope and implement the discussions about the process of regionalization in order to provide health policies, a universalized access and care comprehensiveness.info:eu-repo/semantics/openAccessInstituto de Medicina Integral Prof. Fernando FigueiraRevista Brasileira de Saúde Materno Infantil v.17 suppl.1 20172017-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292017000600012en10.1590/1806-9304201700s100012 |
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Uchimura,Liza Yurie Teruya Felisberto,Eronildo Fusaro,Edgar Rodrigues Ferreira,Maria Paula Viana,Ana Luiza d' Ávila |
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Uchimura,Liza Yurie Teruya Felisberto,Eronildo Fusaro,Edgar Rodrigues Ferreira,Maria Paula Viana,Ana Luiza d' Ávila Evaluation performance in health regions in Brazil |
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Uchimura,Liza Yurie Teruya Felisberto,Eronildo Fusaro,Edgar Rodrigues Ferreira,Maria Paula Viana,Ana Luiza d' Ávila |
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Uchimura,Liza Yurie Teruya |
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Evaluation performance in health regions in Brazil |
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Evaluation performance in health regions in Brazil |
title_full |
Evaluation performance in health regions in Brazil |
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Evaluation performance in health regions in Brazil |
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Evaluation performance in health regions in Brazil |
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evaluation performance in health regions in brazil |
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Abstract Objectives: To propose a regional synthetic indicator (ISR) to evaluate the health system performance in Brazilian regions based on a national database source available free of charge in a global network of computers. Methods: a cross-sectional study using secondary data, considered seven variables of five dimensions in the health system (population's health conditions, health system coverage, financing, human resources and SUS production) analyzed from a survey of 438 Brazilian regions and adopted factor analysis and cluster models, conditioned by variables, such as: socioeconomic development, offering and service complexity and which resulted in a grouping of five strata. Results: mapping and scheduling based on ISR in health regions in Brazil and a detailed analysis of different indicators that compose them. The regions that showed better perfor-mance are in the Southeast, South and Midwest. Conclusions: This article sums efforts of other authors to extend the evaluation studies in health systems in a regional level. In addition, it is expected that the researches broaden their scope and implement the discussions about the process of regionalization in order to provide health policies, a universalized access and care comprehensiveness. |
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Instituto de Medicina Integral Prof. Fernando Figueira |
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2017 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292017000600012 |
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