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Data Sources for Drug Utilization Research in Brazil-DUR-BRA Study.
Lisiane Freitas Leal1, Claudia Garcia Serpa Osorio-de-Castro2, Luiz Júpiter Carneiro de Souza3
1Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
Frontiers in Pharmacology
|February 4, 2022
Summary
This study identified and characterized 38 Brazilian healthcare data sources for drug utilization research. While many are publicly accessible, a lack of uniform drug coding and data quality evaluation hinders pharmacoepidemiologic research.
Area of Science:
- Health Informatics
- Pharmacoepidemiology
- Health Services Research
Background:
- Pharmacoepidemiologic research in Brazil lacks comprehensive mapping of electronic healthcare databases.
- Existing studies have not sufficiently assessed the suitability of these databases for drug utilization research.
Purpose of the Study:
- To identify, catalogue, and characterize Brazilian data sources relevant for Drug Utilization Research (DUR).
- To assess the suitability of these data sources for pharmacoepidemiologic studies.
Main Methods:
- A network of Brazilian health experts was assembled to map secondary administrative healthcare data.
- A multi-phase approach including internet searches, bibliographic databases, and expert input was employed.
- Data sources were categorized (automated databases, EMRs, surveys, adverse event systems, others) and characterized by accessibility, granularity, setting, data type, and coverage.
Main Results:
- 38 out of 62 identified data sources met eligibility criteria and were characterized.
- Automated databases comprised the largest category (60%), followed by adverse event reporting systems and EMRs (11% each).
- 47% were publicly accessible online, offering national-level data, often with over 5 years of coverage at individual and aggregated levels; however, drug coding was non-uniform, and population coverage details were absent.
Conclusions:
- Brazil possesses diverse data sources for Drug Utilization Research.
- A significant limitation is the absence of a uniform drug classification system and standardized data quality evaluation.
- Further characterization of these data sources is needed to optimize their use in pharmacoepidemiologic research.
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