Objective: DATASUS is the Brazilian Public Unified Health System (SUS) department responsible for providing health data that are used as a primary source of data in several studies on surgery and surgical specialties although its main limitations have not been previously reviewed. The objective of this work is to synthesize information from studies on surgery that used DATASUS systems as a data source and to identify the main gaps in this platform.
Methods: a scoping review was conducted according to the PRISMA-ScR method to identify papers on surgery, and other surgical specialties, that used the DATASUS platform as a primary data source. No restrictions were imposed regarding the type of study or year of publication. Grounded Theory was used to analyze the content of the articles.
Results: 248 works were initially analyzed and 47 were included in the final analysis of this study. The original articles included were published between 2009 and 2022 and the majority (12.76%, n=6) were published in the Journal of the Brazilian College of Surgeons. Retrospective studies (40.43%, n=19) were the most common type of study found. Content analysis of the articles identified four predominant domains in the scientific literature about the limitations of using DATASUS in surgical research: lack of data, reliability, precision and data integration.
Conclusion: the information systems available in DATASUS are the largest source of information about the SUS, but the scientific literature on the quality of data available in these systems remains scarce and studies aimed at measuring this metric are necessary.
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http://dx.doi.org/10.1590/0100-6991e-20233545-en | DOI Listing |
Glob Heart
December 2024
Graduation Program in Health Sciences, State University of Maringa, Parana, Brazil.
Background: Mortality due to ischemic heart disease (IHD) is heterogeneously distributed globally, and identifying the sites most affected by it is essential in developing strategies to mitigate the impact of the disease, despite the complexity resulting from the great diversity of variables involved.
Objective: To analyze the predictability of IHD mortality using machine learning (ML) techniques in combination with geospatial analysis in southern Brazil.
Methods: Ecological study using secondary and retrospective data on mortality due to ischemic heart disease (IHD) obtained from the Mortality Information Systems (SIM-DATASUS) de 2018 a 2022, covering 1,191 municipalities in the states of Paraná (399), Santa Catarina (295), and Rio Grande do Sul (497).
Cancer Epidemiol
December 2024
Universidade Federal do Espírito Santo, Programa de Pós-graduação em Biotecnologia, Vitória, ES, Brazil. Electronic address:
Introduction: In Brazil, regional disparities in mortality rates are evident. This study analyzes the mortality trends of head and neck squamous cell carcinoma (HNSCC) from 1998 to 2017 in Espírito Santo.
Methods: Data on deaths were obtained from the Unified Health System's Department of Informatics (DATASUS), and population statistics were sourced from the Brazilian Institute of Geography and Statistics (IBGE).
Front Pharmacol
September 2024
Department of Social Pharmacy, Faculty of Pharmacy, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Background: Gaucher's disease (GD), a lysosomal storage disorder, poses significant treatment challenges. This 23-year study assesses survival rates and treatment efficacy in Brazilian GD patients, integrating data from a 16-year cohort (2000-2015) and the TABNET/DATASUS medicines distribution data (1999-2022).
Objective: To investigate the survival of GD patients in Brazil, identifying key risk factors and evaluating the impact of treatments funded by the Brazilian National Health System (SUS).
Oncol Res
September 2024
UroScience, School of Medical Sciences, State University of Campinas, Campinas, 13083-872, Brazil.
Objectives: The Brazilian Unified Health System (Sistema Único de Saúde-SUS) is the universal public healthcare system of Brazil that maintains a nationwide database of its patients. Our primary objective was to analyze regional and temporal trends, while our secondary goal was to establish correlations between states' health economy status and their prostate cancer (PCa) epidemiology.
Methods: We analyzed Brazil's nationwide data on prostate cancer (PCa) incidence, mortality, and care gathered between 2013 and 2021 by the Information Technology Department of SUS (DATA-SUS), updated monthly using the International Classification of Diseases (ICD-10) code.
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