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A comprehensive integrated dataset on Brazilian health facilities: from 2005 to 2021
OBJECTIVES: The National Registry of Healthcare Facilities is a system with the registry of every healthcare facility in Brazil with information on the capacity building and healthcare workforce regarding its public or private nature. Despite being publicly available, it can only be accessed in sepa...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360316/ https://www.ncbi.nlm.nih.gov/pubmed/37475018 http://dx.doi.org/10.1186/s13104-023-06422-y |
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author | Salles, Rebecca de Paula Dornellas Ribeiro, Victor Gritz, Raquel Cardoso, Carlos Leonardo Souza Paixão, Balthazar Carraro, Lucas de Borba Cruz, Sérgio Ricardo Kreischer, Vinicius Bonifácio, Carmen Lúcia Corrêa de Freitas Saldanha, Raphael Souto, Gabriel Miloski, Matheus Zirondi, Leandro Alencar, Gizelton Pereira Alves, Ariane Camilo Pinheiro Neto, Nelson Niero da Costa Lima, Jefferson Pedroso, Marcel Alves, Ronaldo Fernandes Santos de Moraes Mello Boccolini, Patricia Boccolini, Cristiano Siqueira |
author_facet | Salles, Rebecca de Paula Dornellas Ribeiro, Victor Gritz, Raquel Cardoso, Carlos Leonardo Souza Paixão, Balthazar Carraro, Lucas de Borba Cruz, Sérgio Ricardo Kreischer, Vinicius Bonifácio, Carmen Lúcia Corrêa de Freitas Saldanha, Raphael Souto, Gabriel Miloski, Matheus Zirondi, Leandro Alencar, Gizelton Pereira Alves, Ariane Camilo Pinheiro Neto, Nelson Niero da Costa Lima, Jefferson Pedroso, Marcel Alves, Ronaldo Fernandes Santos de Moraes Mello Boccolini, Patricia Boccolini, Cristiano Siqueira |
author_sort | Salles, Rebecca |
collection | PubMed |
description | OBJECTIVES: The National Registry of Healthcare Facilities is a system with the registry of every healthcare facility in Brazil with information on the capacity building and healthcare workforce regarding its public or private nature. Despite being publicly available, it can only be accessed in separated disjoint tables, with different primary units of analysis. The objective is to offer an interoperable dataset containing monthly data from 2005 to 2021 with information on healthcare facilities, including their physical and human resources, services and teams, enriched with municipal information. DATA DESCRIPTION: Database with historical data and geographic information for each health facility in Brazil. It is composed by 5 distinct tables, organized according to combinations of time, space, and types of resources, services and teams. This database opens up a range of possibilities for research topics, from case studies in a single health facility and period, analysis of a group of health facilities with characteristics of interest, to a broader study using the entire dataset and aggregated data by municipality. Furthermore, the fact that there is a row for each health facility/month/year facilitates the integration with other datasets from the Brazilian healthcare system. In addition to being a potential object of study in the health area, the dataset is also convenient in data science, especially for studies focused on time series. |
format | Online Article Text |
id | pubmed-10360316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103603162023-07-22 A comprehensive integrated dataset on Brazilian health facilities: from 2005 to 2021 Salles, Rebecca de Paula Dornellas Ribeiro, Victor Gritz, Raquel Cardoso, Carlos Leonardo Souza Paixão, Balthazar Carraro, Lucas de Borba Cruz, Sérgio Ricardo Kreischer, Vinicius Bonifácio, Carmen Lúcia Corrêa de Freitas Saldanha, Raphael Souto, Gabriel Miloski, Matheus Zirondi, Leandro Alencar, Gizelton Pereira Alves, Ariane Camilo Pinheiro Neto, Nelson Niero da Costa Lima, Jefferson Pedroso, Marcel Alves, Ronaldo Fernandes Santos de Moraes Mello Boccolini, Patricia Boccolini, Cristiano Siqueira BMC Res Notes Data Note OBJECTIVES: The National Registry of Healthcare Facilities is a system with the registry of every healthcare facility in Brazil with information on the capacity building and healthcare workforce regarding its public or private nature. Despite being publicly available, it can only be accessed in separated disjoint tables, with different primary units of analysis. The objective is to offer an interoperable dataset containing monthly data from 2005 to 2021 with information on healthcare facilities, including their physical and human resources, services and teams, enriched with municipal information. DATA DESCRIPTION: Database with historical data and geographic information for each health facility in Brazil. It is composed by 5 distinct tables, organized according to combinations of time, space, and types of resources, services and teams. This database opens up a range of possibilities for research topics, from case studies in a single health facility and period, analysis of a group of health facilities with characteristics of interest, to a broader study using the entire dataset and aggregated data by municipality. Furthermore, the fact that there is a row for each health facility/month/year facilitates the integration with other datasets from the Brazilian healthcare system. In addition to being a potential object of study in the health area, the dataset is also convenient in data science, especially for studies focused on time series. BioMed Central 2023-07-20 /pmc/articles/PMC10360316/ /pubmed/37475018 http://dx.doi.org/10.1186/s13104-023-06422-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Salles, Rebecca de Paula Dornellas Ribeiro, Victor Gritz, Raquel Cardoso, Carlos Leonardo Souza Paixão, Balthazar Carraro, Lucas de Borba Cruz, Sérgio Ricardo Kreischer, Vinicius Bonifácio, Carmen Lúcia Corrêa de Freitas Saldanha, Raphael Souto, Gabriel Miloski, Matheus Zirondi, Leandro Alencar, Gizelton Pereira Alves, Ariane Camilo Pinheiro Neto, Nelson Niero da Costa Lima, Jefferson Pedroso, Marcel Alves, Ronaldo Fernandes Santos de Moraes Mello Boccolini, Patricia Boccolini, Cristiano Siqueira A comprehensive integrated dataset on Brazilian health facilities: from 2005 to 2021 |
title | A comprehensive integrated dataset on Brazilian health facilities: from 2005 to 2021 |
title_full | A comprehensive integrated dataset on Brazilian health facilities: from 2005 to 2021 |
title_fullStr | A comprehensive integrated dataset on Brazilian health facilities: from 2005 to 2021 |
title_full_unstemmed | A comprehensive integrated dataset on Brazilian health facilities: from 2005 to 2021 |
title_short | A comprehensive integrated dataset on Brazilian health facilities: from 2005 to 2021 |
title_sort | comprehensive integrated dataset on brazilian health facilities: from 2005 to 2021 |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360316/ https://www.ncbi.nlm.nih.gov/pubmed/37475018 http://dx.doi.org/10.1186/s13104-023-06422-y |
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