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Primary health care coverage in Brazil: a dataset from 1998 to 2020

OBJECTIVES: Primary health care builds the backbone of an effective healthcare system and can improve population health, reduce cost growth, and lessen inequality. We offer a machine-readable and open-access dataset on primary health care coverage in Brazil from 1998 to 2020. This dataset is interop...

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Autores principales: Alves, Ronaldo Fernandes Santos, Boccolini, Cristiano Siqueira, Baroni, Lais Ribeiro, Boccolini, Patricia de Moraes Mello
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131459/
https://www.ncbi.nlm.nih.gov/pubmed/37098644
http://dx.doi.org/10.1186/s13104-023-06323-0
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author Alves, Ronaldo Fernandes Santos
Boccolini, Cristiano Siqueira
Baroni, Lais Ribeiro
Boccolini, Patricia de Moraes Mello
author_facet Alves, Ronaldo Fernandes Santos
Boccolini, Cristiano Siqueira
Baroni, Lais Ribeiro
Boccolini, Patricia de Moraes Mello
author_sort Alves, Ronaldo Fernandes Santos
collection PubMed
description OBJECTIVES: Primary health care builds the backbone of an effective healthcare system and can improve population health, reduce cost growth, and lessen inequality. We offer a machine-readable and open-access dataset on primary health care coverage in Brazil from 1998 to 2020. This dataset is interoperable with epidemiological data from two major studies and reusable by the research community worldwide for other purposes, such as monitoring progress toward universal health coverage and studying the association between primary health care and health outcomes. DATA DESCRIPTION: The dataset gathers official and public information from the “e-Gestor AB” platform of the Ministry of Health of Brazil and restricted data obtained by the Brazilian Access to Information Law. It includes 1,509,870 observations and 35 attributes aggregated by months/years and policy-relevant geographic units (country, macroregions, states, municipalities, and capitals) on primary health care team count and their absolute and relative population coverage estimates, information on the More Doctors Program implementation and physician counts, and spatial, demographic, and socioeconomic characteristics. We automated all data processing and curation in the free and open software R. The codes can be audited, replicated, and reused to produce alternative analyses.
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spelling pubmed-101314592023-04-27 Primary health care coverage in Brazil: a dataset from 1998 to 2020 Alves, Ronaldo Fernandes Santos Boccolini, Cristiano Siqueira Baroni, Lais Ribeiro Boccolini, Patricia de Moraes Mello BMC Res Notes Data Note OBJECTIVES: Primary health care builds the backbone of an effective healthcare system and can improve population health, reduce cost growth, and lessen inequality. We offer a machine-readable and open-access dataset on primary health care coverage in Brazil from 1998 to 2020. This dataset is interoperable with epidemiological data from two major studies and reusable by the research community worldwide for other purposes, such as monitoring progress toward universal health coverage and studying the association between primary health care and health outcomes. DATA DESCRIPTION: The dataset gathers official and public information from the “e-Gestor AB” platform of the Ministry of Health of Brazil and restricted data obtained by the Brazilian Access to Information Law. It includes 1,509,870 observations and 35 attributes aggregated by months/years and policy-relevant geographic units (country, macroregions, states, municipalities, and capitals) on primary health care team count and their absolute and relative population coverage estimates, information on the More Doctors Program implementation and physician counts, and spatial, demographic, and socioeconomic characteristics. We automated all data processing and curation in the free and open software R. The codes can be audited, replicated, and reused to produce alternative analyses. BioMed Central 2023-04-25 /pmc/articles/PMC10131459/ /pubmed/37098644 http://dx.doi.org/10.1186/s13104-023-06323-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Data Note
Alves, Ronaldo Fernandes Santos
Boccolini, Cristiano Siqueira
Baroni, Lais Ribeiro
Boccolini, Patricia de Moraes Mello
Primary health care coverage in Brazil: a dataset from 1998 to 2020
title Primary health care coverage in Brazil: a dataset from 1998 to 2020
title_full Primary health care coverage in Brazil: a dataset from 1998 to 2020
title_fullStr Primary health care coverage in Brazil: a dataset from 1998 to 2020
title_full_unstemmed Primary health care coverage in Brazil: a dataset from 1998 to 2020
title_short Primary health care coverage in Brazil: a dataset from 1998 to 2020
title_sort primary health care coverage in brazil: a dataset from 1998 to 2020
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131459/
https://www.ncbi.nlm.nih.gov/pubmed/37098644
http://dx.doi.org/10.1186/s13104-023-06323-0
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