Back to Search Start Over

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

Authors :
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
Source :
BMC Research Notes. 7/20/2023, Vol. 16 Issue 1, p1-4. 4p.
Publication Year :
2023

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17560500
Volume :
16
Issue :
1
Database :
Academic Search Index
Journal :
BMC Research Notes
Publication Type :
Academic Journal
Accession number :
165111896
Full Text :
https://doi.org/10.1186/s13104-023-06422-y