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DATA SOURCES FOR DRUG UTILIZATION RESEARCH IN BRAZIL - DUR-BRA STUDY
Health information systems
Databases (all types)
Brazil
Database management systems
Pharmaceutical preparations
Data sources
Drug utilisation research
Sistemas de Informação em Saúde
Bases de Dados de Produtos Farmacêuticos
Bases de Dados como Assunto
Brasil
Sistemas de Gerenciamento de Base de Dados
Preparações Farmacêuticas
Fonte de Informação
Uso de Medicamentos
Autor(es)
Afiliação
McGill University. Department of Epidemiology, Biostatistics and Occupational Health. Montreal, QC, Canada.
Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz. Fiocruz Brasília. Brasília, DF, Brasil.
Universidade Federal de Minas Gerais. Faculdade de Medicina. Programa de Pós-Graduação em Saúde Pública. Belo Horizonte, MG, Brazil.
Brazilian Health Regulatory Agency. Brasília, DF, Brazil.
Centro Estadual de Educação Tecnológica Paula Souza. Professional Master’s Program in Productive Systems. São Paulo, SP, Brazil.
Ghent University. Ghent, Belgium.
Universidade Federal do Rio de Janeiro. Faculdade de Farmácia. Rio de Janeiro, RJ, Brazil.
University of Brasília. Faculdade de Ciências da Saúde. Brasília, DF, Brazil.
Brazilian Health Regulatory Agency. Brasília, DF, Brazil.
University of Sorocaba. Graduate Pharmaceutical Science. Sao Paulo, SP, Brazil.
Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz. Fiocruz Brasília. Brasília, DF, Brasil.
Universidade Federal de Minas Gerais. Faculdade de Medicina. Programa de Pós-Graduação em Saúde Pública. Belo Horizonte, MG, Brazil.
Brazilian Health Regulatory Agency. Brasília, DF, Brazil.
Centro Estadual de Educação Tecnológica Paula Souza. Professional Master’s Program in Productive Systems. São Paulo, SP, Brazil.
Ghent University. Ghent, Belgium.
Universidade Federal do Rio de Janeiro. Faculdade de Farmácia. Rio de Janeiro, RJ, Brazil.
University of Brasília. Faculdade de Ciências da Saúde. Brasília, DF, Brazil.
Brazilian Health Regulatory Agency. Brasília, DF, Brazil.
University of Sorocaba. Graduate Pharmaceutical Science. Sao Paulo, SP, Brazil.
Resumo em Inglês
Background: In Brazil, studies that map electronic healthcare databases in order to
assess their suitability for use in pharmacoepidemiologic research are lacking. We aimed to
identify, catalogue, and characterize Brazilian data sources for Drug Utilization
Research (DUR).
Methods: The present study is part of the project entitled, “Publicly Available Data
Sources for Drug Utilization Research in Latin American (LatAm) Countries.” A network
of Brazilian health experts was assembled to map secondary administrative data from
healthcare organizations that might provide information related to medication use. A multiphase approach including internet search of institutional government websites, traditional
bibliographic databases, and experts’ input was used for mapping the data sources. The
reviewers searched, screened and selected the data sources independently;
disagreements were resolved by consensus. Data sources were grouped into the
following categories: 1) automated databases; 2) Electronic Medical Records (EMR); 3)
national surveys or datasets; 4) adverse event reporting systems; and 5) others. Each data
source was characterized by accessibility, geographic granularity, setting, type of data
(aggregate or individual-level), and years of coverage. We also searched for publications
related to each data source.
Results: A total of 62 data sources were identified and screened; 38 met the eligibility
criteria for inclusion and were fully characterized. We grouped 23 (60%) as automated
databases, four (11%) as adverse event reporting systems, four (11%) as EMRs, three (8%)
as national surveys or datasets, and four (11%) as other types. Eighteen (47%) were
classified as publicly and conveniently accessible online; providing information at national
level. Most of them offered more than 5 years of comprehensive data coverage, and
presented data at both the individual and aggregated levels. No information about
population coverage was found. Drug coding is not uniform; each data source has its
own coding system, depending on the purpose of the data. At least one scientific
publication was found for each publicly available data source. Conclusions: There are several types of data sources for DUR in Brazil, but a uniform
system for drug classification and data quality evaluation does not exist. The extent of
population covered by year is unknown. Our comprehensive and structured inventory
reveals a need for full characterization of these data sources.
Palavras-chave em inglês
PharmacoepidemiologyHealth information systems
Databases (all types)
Brazil
Database management systems
Pharmaceutical preparations
Data sources
Drug utilisation research
DeCS
FarmacoepidemiologiaSistemas de Informação em Saúde
Bases de Dados de Produtos Farmacêuticos
Bases de Dados como Assunto
Brasil
Sistemas de Gerenciamento de Base de Dados
Preparações Farmacêuticas
Fonte de Informação
Uso de Medicamentos
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