Author | Leal, Lisiane Freitas | |
Author | Castro, Claudia Garcia Serpa Osorio de | |
Author | Souza, Luiz Júpiter Carneiro de | |
Author | Ferre, Felipe | |
Author | Mota, Daniel Marques | |
Author | Ito, Marcia | |
Author | Elseviers, Monique | |
Author | Lima, Elisangela da Costa | |
Author | Zimmernan, Ivan Ricardo | |
Author | Fulone, Izabela | |
Author | Soares, Monica da Luz Carvalho | |
Author | Lopes, Luciane Cruz | |
Access date | 2023-10-10T02:02:41Z | |
Available date | 2023-10-10T02:02:41Z | |
Document date | 2022 | |
Citation | LEAL, Lisiane Freitas et al. Data sources for drug utilization research in Brazil - DUR-BRA study. Frontiers in Pharmacology, [s. l.], v. 12, n. 789872, p. 1-13, jan. 2022. | en_US |
ISSN | 1663-9812 | en_US |
URI | https://www.arca.fiocruz.br/handle/icict/60751 | |
Description | O artigo está disponível em PDF, e-pub e XML. | en_US |
Sponsorship | This study is sponsored by the International Society of
Pharmacoepidemiology ISPE/2018. LFL is supported by a
postdoctoral scholarship award from the Fonds de
recherche du Québec–Santé (FRQS; Quebec Foundation for
Health Research) in parternership with Société québécoise
d’hypertension artérielle (SQHA) — Dossier:290908 (2020–2021); and by a CIHR Drug Safety and Effectiveness
Cross-Disciplinary Training Program (DSECT)— trainee
funding Stream 1 (2021–2022). | en_US |
Language | eng | en_US |
Publisher | Frontiers Media S.A. | en_US |
Rights | open access | en_US |
Title | Data sources for drug utilization research in Brazil - DUR-BRA study | en_US |
Type | Article | en_US |
DOI | 10.3389/fphar.2021.789872 | |
Abstract | 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. | en_US |
Affilliation | McGill University. Department of Epidemiology, Biostatistics and Occupational Health. Montreal, QC, Canada. | en_US |
Affilliation | Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Rio de Janeiro, RJ, Brasil. | en_US |
Affilliation | Fundação Oswaldo Cruz. Fiocruz Brasília. Brasília, DF, Brasil. | en_US |
Affilliation | Universidade Federal de Minas Gerais. Faculdade de Medicina. Programa de Pós-Graduação em Saúde Pública. Belo Horizonte, MG, Brazil. | en_US |
Affilliation | Brazilian Health Regulatory Agency. Brasília, DF, Brazil. | en_US |
Affilliation | Centro Estadual de Educação Tecnológica Paula Souza. Professional Master’s Program in Productive Systems. São Paulo, SP, Brazil. | en_US |
Affilliation | Ghent University. Ghent, Belgium. | en_US |
Affilliation | Universidade Federal do Rio de Janeiro. Faculdade de Farmácia. Rio de Janeiro, RJ, Brazil. | en_US |
Affilliation | University of Brasília. Faculdade de Ciências da Saúde. Brasília, DF, Brazil. | en_US |
Affilliation | Brazilian Health Regulatory Agency. Brasília, DF, Brazil. | en_US |
Affilliation | University of Sorocaba. Graduate Pharmaceutical Science. Sao Paulo, SP, Brazil. | en_US |
Subject | Pharmacoepidemiology | en_US |
Subject | Health information systems | en_US |
Subject | Databases (all types) | en_US |
Subject | Brazil | en_US |
Subject | Database management systems | en_US |
Subject | Pharmaceutical preparations | en_US |
Subject | Data sources | en_US |
Subject | Drug utilisation research | en_US |
DeCS | Farmacoepidemiologia | en_US |
DeCS | Sistemas de Informação em Saúde | en_US |
DeCS | Bases de Dados de Produtos Farmacêuticos | en_US |
DeCS | Bases de Dados como Assunto | en_US |
DeCS | Brasil | en_US |
DeCS | Sistemas de Gerenciamento de Base de Dados | en_US |
DeCS | Preparações Farmacêuticas | en_US |
DeCS | Fonte de Informação | en_US |
DeCS | Uso de Medicamentos | en_US |