A comprehensive integrated dataset on Brazilian health facilities: from 2005 to 2021.

Data integration Health facilities Healthcare system

Journal

BMC research notes
ISSN: 1756-0500
Titre abrégé: BMC Res Notes
Pays: England
ID NLM: 101462768

Informations de publication

Date de publication:
20 Jul 2023
Historique:
received: 08 12 2022
accepted: 03 07 2023
medline: 24 7 2023
pubmed: 21 7 2023
entrez: 20 7 2023
Statut: epublish

Résumé

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. 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.

Identifiants

pubmed: 37475018
doi: 10.1186/s13104-023-06422-y
pii: 10.1186/s13104-023-06422-y
pmc: PMC10360316
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

151

Subventions

Organisme : Bill & Melinda Gates Foundation
ID : INV-027961
Pays : United States

Informations de copyright

© 2023. The Author(s).

Références

BMC Res Notes. 2022 May 10;15(1):159
pubmed: 35538501

Auteurs

Rebecca Salles (R)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil. rebecca.salles@icict.fiocruz.br.
Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil. rebecca.salles@icict.fiocruz.br.

Victor de Paula Dornellas Ribeiro (V)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
National Laboratory for Scientific Computing, LNCC, Petrópolis, Brazil.

Raquel Gritz (R)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil.

Carlos Leonardo Souza Cardoso (CLS)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil.

Balthazar Paixão (B)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.

Lucas Carraro (L)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.

Sérgio Ricardo de Borba Cruz (SR)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.

Vinicius Kreischer (V)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
National Laboratory for Scientific Computing, LNCC, Petrópolis, Brazil.

Carmen Lúcia Corrêa Bonifácio (CLC)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil.

Raphael de Freitas Saldanha (R)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.

Gabriel Souto (G)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.

Matheus Miloski (M)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil.

Leandro Zirondi (L)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.

Gizelton Pereira Alencar (GP)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
School of Public Health, University of São Paulo, FSP/USP, São Paulo, Brazil.

Ariane Camilo Pinheiro Alves (ACP)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.

Nelson Niero Neto (NN)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.

Jefferson da Costa Lima (J)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.

Marcel Pedroso (M)

Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.

Ronaldo Fernandes Santos Alves (RFS)

Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.

Patricia de Moraes Mello Boccolini (P)

Center for Information, Public Policies and Social Inclusion, NIPPIS, FMP/UNIFASE, Petrópolis, Brazil.

Cristiano Siqueira Boccolini (CS)

Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.

Articles similaires

Humans Arthroplasty, Replacement, Hip Male Female Obesity, Morbid

Perceptions of the neighbourhood food environment and food insecurity of families with children during the Covid-19 pandemic.

Irene Carolina Sousa Justiniano, Matheus Santos Cordeiro, Hillary Nascimento Coletro et al.
1.00
Humans COVID-19 Food Insecurity Cross-Sectional Studies Female
Humans COVID-19 Brazil Resilience, Psychological Cross-Sectional Studies

Total elbow arthroplasty in England.

Zaid Hamoodi, Adrian Sayers, Michael R Whitehouse et al.
1.00
Humans England Female Male Arthroplasty, Replacement, Elbow

Classifications MeSH