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

Health facilities
Data integration
Healthcare system
Authors

Rebecca Salles

Victor Dornella

Raquel Gritz

Carlos Cardoso

Sérgio Cruz

Vinicius Kreischer

Carmen Bonifácio

Raphael Saldanha

Gabriel Souto

Matheus Miloski

Leandro Zirondi

Gizelton Alencar

Ariane Alves

Nelson Nieiro Neto

Jefferson Lima

Marcel Pedroso

Ronaldo Alves

Cristiano Boccolini

Published

July 20, 2023

Reference

SALLES, R. et al. A comprehensive integrated dataset on Brazilian health facilities: From 2005 to 2021. BMC Research Notes, v. 16, n. 1, p. 151, Jul. 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.

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