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Notes for the study on health systems: multifaceted analysis and tracer indicators
OBJECTIVE: To present the methodological approach used in a research that analyzed the use and performance of specialized health care, from primary care access, in four major Brazilian cities: Fortaleza (CE), Campinas (SP), São Paulo (SP) and Porto Alegre (RS). METHODS: Presentation and discussion o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Faculdade de Saúde Pública da Universidade de São Paulo
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7593041/ https://www.ncbi.nlm.nih.gov/pubmed/33146296 http://dx.doi.org/10.11606/s1518-8787.2020054002055 |
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author | Onocko-Campos, Rosana Teresa Campos, Gastão Wagner de Sousa Amaral, Carlos Eduardo Menezes Tanaka, Oswaldo Yoshimi |
author_facet | Onocko-Campos, Rosana Teresa Campos, Gastão Wagner de Sousa Amaral, Carlos Eduardo Menezes Tanaka, Oswaldo Yoshimi |
author_sort | Onocko-Campos, Rosana Teresa |
collection | PubMed |
description | OBJECTIVE: To present the methodological approach used in a research that analyzed the use and performance of specialized health care, from primary care access, in four major Brazilian cities: Fortaleza (CE), Campinas (SP), São Paulo (SP) and Porto Alegre (RS). METHODS: Presentation and discussion of the quantitative-qualitative components of the proposed research strategy. RESULTS: Four tracing conditions were studied: systemic arterial hypertension, high-risk pregnancy, breast cancer and severe mental disorder. For each health condition, indicators were constructed based on health information systems data, pointing out frequencies, temporal trends and local differences. This initial contextualization was enriched with a descriptive-qualitative study of the performance of each municipal health service network. Next, a cross-sectional study was conducted through a survey of 7,053 users of specialized services for each health condition. Finally, in-depth interviews were conducted with key actors to complement selected operational aspects of each municipality’s network. The results of all these data sources were triangulated, allowing us to explore the variability of SUS implementations in different regional scenarios. CONCLUSIONS: The multifaceted analytical model presented allows us to understand relevant aspects of the Unified Health System performance, paying attention to the singularities, heterogeneities and inequalities that characterize its implementation in Brazil and emphasizing the performance of local networks for the addressed health conditions. |
format | Online Article Text |
id | pubmed-7593041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Faculdade de Saúde Pública da Universidade de São Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-75930412020-11-02 Notes for the study on health systems: multifaceted analysis and tracer indicators Onocko-Campos, Rosana Teresa Campos, Gastão Wagner de Sousa Amaral, Carlos Eduardo Menezes Tanaka, Oswaldo Yoshimi Rev Saude Publica Original Article OBJECTIVE: To present the methodological approach used in a research that analyzed the use and performance of specialized health care, from primary care access, in four major Brazilian cities: Fortaleza (CE), Campinas (SP), São Paulo (SP) and Porto Alegre (RS). METHODS: Presentation and discussion of the quantitative-qualitative components of the proposed research strategy. RESULTS: Four tracing conditions were studied: systemic arterial hypertension, high-risk pregnancy, breast cancer and severe mental disorder. For each health condition, indicators were constructed based on health information systems data, pointing out frequencies, temporal trends and local differences. This initial contextualization was enriched with a descriptive-qualitative study of the performance of each municipal health service network. Next, a cross-sectional study was conducted through a survey of 7,053 users of specialized services for each health condition. Finally, in-depth interviews were conducted with key actors to complement selected operational aspects of each municipality’s network. The results of all these data sources were triangulated, allowing us to explore the variability of SUS implementations in different regional scenarios. CONCLUSIONS: The multifaceted analytical model presented allows us to understand relevant aspects of the Unified Health System performance, paying attention to the singularities, heterogeneities and inequalities that characterize its implementation in Brazil and emphasizing the performance of local networks for the addressed health conditions. Faculdade de Saúde Pública da Universidade de São Paulo 2020-10-28 /pmc/articles/PMC7593041/ /pubmed/33146296 http://dx.doi.org/10.11606/s1518-8787.2020054002055 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Onocko-Campos, Rosana Teresa Campos, Gastão Wagner de Sousa Amaral, Carlos Eduardo Menezes Tanaka, Oswaldo Yoshimi Notes for the study on health systems: multifaceted analysis and tracer indicators |
title | Notes for the study on health systems: multifaceted analysis and tracer indicators |
title_full | Notes for the study on health systems: multifaceted analysis and tracer indicators |
title_fullStr | Notes for the study on health systems: multifaceted analysis and tracer indicators |
title_full_unstemmed | Notes for the study on health systems: multifaceted analysis and tracer indicators |
title_short | Notes for the study on health systems: multifaceted analysis and tracer indicators |
title_sort | notes for the study on health systems: multifaceted analysis and tracer indicators |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7593041/ https://www.ncbi.nlm.nih.gov/pubmed/33146296 http://dx.doi.org/10.11606/s1518-8787.2020054002055 |
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