Frontiers in Pharmacology (Sep 2019)
Administrative Data Linkage in Brazil: Potentials for Health Technology Assessment
- M Sanni Ali,
- M Sanni Ali,
- M Sanni Ali,
- Maria Yury Ichihara,
- Maria Yury Ichihara,
- Luciane Cruz Lopes,
- George C.G. Barbosa,
- Robespierre Pita,
- Roberto Perez Carreiro,
- Djanilson Barbosa dos Santos,
- Dandara Ramos,
- Nivea Bispo,
- Fabiana Raynal,
- Vania Canuto,
- Bethania de Araujo Almeida,
- Rosemeire L. Fiaccone,
- Rosemeire L. Fiaccone,
- Rosemeire L. Fiaccone,
- Marcos E. Barreto,
- Marcos E. Barreto,
- Marcos E. Barreto,
- Liam Smeeth,
- Liam Smeeth,
- Mauricio L. Barreto,
- Mauricio L. Barreto
Affiliations
- M Sanni Ali
- Faculty of Epidemiology and Population Health, Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
- M Sanni Ali
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Center for Statistics in Medicine (CSM), University of Oxford, Oxford, United Kingdom
- M Sanni Ali
- Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil
- Maria Yury Ichihara
- Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil
- Maria Yury Ichihara
- Institute of Public Health, Federal University of Bahia (UFBA), Salvador, Brazil
- Luciane Cruz Lopes
- University of Sorocaba–UNISO, São Paulo, Brazil
- George C.G. Barbosa
- Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil
- Robespierre Pita
- Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil
- Roberto Perez Carreiro
- Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil
- Djanilson Barbosa dos Santos
- Centro de Ciências da Saúde, Federal University of Recôncavo of Bahia (UFRB), Salvador, Brazil
- Dandara Ramos
- Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil
- Nivea Bispo
- Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil
- Fabiana Raynal
- Department of Management and Incorporation of Health Technology, Ministry of Health (DGITS/MS), Brasília, Brazil
- Vania Canuto
- Department of Management and Incorporation of Health Technology, Ministry of Health (DGITS/MS), Brasília, Brazil
- Bethania de Araujo Almeida
- Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil
- Rosemeire L. Fiaccone
- Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil
- Rosemeire L. Fiaccone
- Institute of Public Health, Federal University of Bahia (UFBA), Salvador, Brazil
- Rosemeire L. Fiaccone
- Department of Statistics, Federal University of Bahia (UFBA), Salvador, Brazil
- Marcos E. Barreto
- Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil
- Marcos E. Barreto
- Department of Computing, Federal University of Bahia (UFBA), Salvador, Brazil
- Marcos E. Barreto
- 0Institute of Health Informatics, University College London, London, United Kingdom
- Liam Smeeth
- Faculty of Epidemiology and Population Health, Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Liam Smeeth
- Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil
- Mauricio L. Barreto
- Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Muniz, Fundação Osvaldo Cruz, Salvador, Brazil
- Mauricio L. Barreto
- Institute of Public Health, Federal University of Bahia (UFBA), Salvador, Brazil
- DOI
- https://doi.org/10.3389/fphar.2019.00984
- Journal volume & issue
-
Vol. 10
Abstract
Health technology assessment (HTA) is the systematic evaluation of the properties and impacts of health technologies and interventions. In this article, we presented a discussion of HTA and its evolution in Brazil, as well as a description of secondary data sources available in Brazil with potential applications to generate evidence for HTA and policy decisions. Furthermore, we highlighted record linkage, ongoing record linkage initiatives in Brazil, and the main linkage tools developed and/or used in Brazilian data. Finally, we discussed the challenges and opportunities of using secondary data for research in the Brazilian context. In conclusion, we emphasized the availability of high quality data and an open, modern attitude toward the use of data for research and policy. This is supported by a rigorous but enabling legal framework that will allow the conduct of large-scale observational studies to evaluate clinical, economical, and social impacts of health technologies and social policies.
Keywords
- administrative data
- Brazil
- data linkage
- epidemiological studies
- health technology assessment
- record linkage