Data Sources for Drug Utilization Research in Brazil-DUR-BRA Study.
Autor: | Leal LF; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada., Osorio-de-Castro CGS; Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil., de Souza LJC; Regional Management, Oswaldo Cruz Foundation, Brasília, Brazil., Ferre F; Faculdade de Medicina, Programa de Pós-Graduação em Saúde Pública, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Mota DM; Brazilian Health Regulatory Agency, Brasília, Brazil., Ito M; Professional Master's Program in Productive Systems, Centro Estadual de Educação Tecnológica Paula Souza, São Paulo, Brazil., Elseviers M; Ghent University, Ghent, Belgium., Lima EDC; Faculdade de Farmácia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Zimmernan IR; Faculdade de Ciências da Saúde Campus Darcy Ribeiro, University of Brasília, Brasília, Brazil., Fulone I; Graduate Pharmaceutical Science, University of Sorocaba, Sao Paulo, Brazil., Carvalho-Soares MDL; Brazilian Health Regulatory Agency, Brasília, Brazil., Lopes LC; Graduate Pharmaceutical Science, University of Sorocaba, Sao Paulo, Brazil. |
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Jazyk: | angličtina |
Zdroj: | Frontiers in pharmacology [Front Pharmacol] 2022 Jan 14; Vol. 12, pp. 789872. Date of Electronic Publication: 2022 Jan 14 (Print Publication: 2021). |
DOI: | 10.3389/fphar.2021.789872 |
Abstrakt: | 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 multi-phase 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. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Leal, Osorio-de-Castro, Souza, Ferre, Mota, Ito, Elseviers, Lima, Zimmernan, Fulone, Carvalho-Soares and Lopes.) |
Databáze: | MEDLINE |
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