Data transparency for building a stronger healthcare system
A case study from Argentinean administrative drug utilization data sources
Dados Bibliográficos
| ID | 15530746 |
|---|---|
| Autores | Martín Cañás (0000-0003-0500-5866, Universidad Nacional Arturo Jauretche, autor correspondente), Gustavo H Marin (0000-0002-6380-6453, Centro Científico Tecnológico - San Juan), Martín Urtasun (0000-0001-6018-8250, Universidad Nacional Arturo Jauretche), Lisiane Freitas Leal (0000-0002-4151-8960, McGill University), Maribel Salas (0000-0001-5634-1558, Daiichi Sankyo (United States)), Monique Elseviers (0000-0001-9415-6900, Ghent University Hospital), Luciane Cruz Lopes (0000-0002-3684-3275, Universidade de Sorocaba) |
| Ano | 2021 |
| Volume | 17 |
| Páginas | e3339-e3339 |
| Data de publicação | 2021-05-27 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Salud Colectiva (JOURNAL) |
| Identificadores do periódico | ISSN: 1669-2381 • E-ISSN: 1851-8265 |
| Editora | Instituto de Salud Colectiva, Universidad Nacional de Lanús (PUBLISHER • AR) |
| DOI | 10.18294/sc.2021.3339 |
| OpenAlex | W3168299795 |
| Idioma | EN |
| Citações recebidas | 1 |
| Referências citadas | 14 |
In order to compile an inventory of national data sources for drug utilization research (DUR) in Argentina and to verify publicly available data sources, we performed a cross-sectional study that sought to identify national and provincial databases of drug use. In July 2020, we searched the websites of government institutions, carried out a systematic query of bibliographic databases for “drug utilization research” conducted in Argentina, and conducted a survey with local experts. Data collected included: the institution responsible for the database, population covered, accessibility, source of the data, healthcare setting, geographic information, and whether data were individual or aggregated. Descriptive analyses were then performed. We identified 31 data sources for DUR; only one was publicly and conveniently accessible. Five published aggregated data and provide more detailed access by formal request. Only seven sources (23%) reported national data, and most (n=29) included only data from the public healthcare sector. Although data sources for DUR have been found in Argentina, limited access by researchers and policymakers is still an significant obstacle. Increasing health data transparency by making data sources publicly available for the purpose of analyzing public health information is crucial for building a stronger health system
Audit · Business · Computer security · Data science · Data source · Database · Environmental health · Government (linguistics · Health care · Open data · Political science · Population · Transparency (behavior · World Wide Web · Antibiotic Use and Resistance · Computer Science · Healthcare Systems and Reforms · Medicine · Public Health in Brazil · Accounting
| Obras citantes distintas | 1 |
|---|---|
| Citações por ano | 1 |
| Intervalo de citações | 2026 - 2026 (1) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 1 |