Cargando…
National Health Insurance Databases in Indonesia, Vietnam and the Philippines
BACKGROUND: Social health insurance administrative databases were established in Indonesia, Vietnam and the Philippines in 2014, 2017 and 2012, respectively; however, these databases have been scarcely used for research, if at all. This study explored the feasibility and accessibility of using these...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6861401/ https://www.ncbi.nlm.nih.gov/pubmed/30859490 http://dx.doi.org/10.1007/s41669-019-0127-2 |
_version_ | 1783471348580876288 |
---|---|
author | Ng, Junice Yi Siu Ramadani, Royasia Viki Hendrawan, Donni Duc, Duong Tuan Kiet, Pham Huy Tuan |
author_facet | Ng, Junice Yi Siu Ramadani, Royasia Viki Hendrawan, Donni Duc, Duong Tuan Kiet, Pham Huy Tuan |
author_sort | Ng, Junice Yi Siu |
collection | PubMed |
description | BACKGROUND: Social health insurance administrative databases were established in Indonesia, Vietnam and the Philippines in 2014, 2017 and 2012, respectively; however, these databases have been scarcely used for research, if at all. This study explored the feasibility and accessibility of using these databases for scientific research, highlighting challenges and barriers in their use. METHODOLOGY: The databases included in this evaluation comprised the Jaminan Kesehatan Nasional (JKN) from Indonesia, Vietnam Health Insurance Scheme (VHIS) from Vietnam and PhilHealth from the Philippines. These databases were qualitatively assessed based on the data capture, potential linkage to other databases or registries, data access and extraction, privacy and security, and quality and validation procedures. RESULTS: All databases contain population-based cohort data on the medical costs of reimbursed medical conditions, identified using International Classification of Diseases, Tenth Revision (ICD-10) codes. Linkage to other national databases, ensuring protection of patient privacy data, would improve their usability. Duration to database access and data extraction varies from country to country. The main limitations of all databases include the short span of data records, and the unknown degree of internal validity. Both JKN and PhilHealth databases capture bundled claims, inherently excluding information on prescriptions and out-of-pocket expenditure. Due to the recent establishment of the VHIS database, it may not be suitable for studies that intend to explore trends. CONCLUSION: The JKN, VHIS and PhilHealth databases offer population-based, financial, utilization, and demographic data, which could provide valuable epidemiological and pharmacoeconomic insights if the findings are interpreted within the limitations of each database. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41669-019-0127-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6861401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-68614012019-12-03 National Health Insurance Databases in Indonesia, Vietnam and the Philippines Ng, Junice Yi Siu Ramadani, Royasia Viki Hendrawan, Donni Duc, Duong Tuan Kiet, Pham Huy Tuan Pharmacoecon Open Original Research Article BACKGROUND: Social health insurance administrative databases were established in Indonesia, Vietnam and the Philippines in 2014, 2017 and 2012, respectively; however, these databases have been scarcely used for research, if at all. This study explored the feasibility and accessibility of using these databases for scientific research, highlighting challenges and barriers in their use. METHODOLOGY: The databases included in this evaluation comprised the Jaminan Kesehatan Nasional (JKN) from Indonesia, Vietnam Health Insurance Scheme (VHIS) from Vietnam and PhilHealth from the Philippines. These databases were qualitatively assessed based on the data capture, potential linkage to other databases or registries, data access and extraction, privacy and security, and quality and validation procedures. RESULTS: All databases contain population-based cohort data on the medical costs of reimbursed medical conditions, identified using International Classification of Diseases, Tenth Revision (ICD-10) codes. Linkage to other national databases, ensuring protection of patient privacy data, would improve their usability. Duration to database access and data extraction varies from country to country. The main limitations of all databases include the short span of data records, and the unknown degree of internal validity. Both JKN and PhilHealth databases capture bundled claims, inherently excluding information on prescriptions and out-of-pocket expenditure. Due to the recent establishment of the VHIS database, it may not be suitable for studies that intend to explore trends. CONCLUSION: The JKN, VHIS and PhilHealth databases offer population-based, financial, utilization, and demographic data, which could provide valuable epidemiological and pharmacoeconomic insights if the findings are interpreted within the limitations of each database. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41669-019-0127-2) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-03-11 /pmc/articles/PMC6861401/ /pubmed/30859490 http://dx.doi.org/10.1007/s41669-019-0127-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Article Ng, Junice Yi Siu Ramadani, Royasia Viki Hendrawan, Donni Duc, Duong Tuan Kiet, Pham Huy Tuan National Health Insurance Databases in Indonesia, Vietnam and the Philippines |
title | National Health Insurance Databases in Indonesia, Vietnam and the Philippines |
title_full | National Health Insurance Databases in Indonesia, Vietnam and the Philippines |
title_fullStr | National Health Insurance Databases in Indonesia, Vietnam and the Philippines |
title_full_unstemmed | National Health Insurance Databases in Indonesia, Vietnam and the Philippines |
title_short | National Health Insurance Databases in Indonesia, Vietnam and the Philippines |
title_sort | national health insurance databases in indonesia, vietnam and the philippines |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6861401/ https://www.ncbi.nlm.nih.gov/pubmed/30859490 http://dx.doi.org/10.1007/s41669-019-0127-2 |
work_keys_str_mv | AT ngjuniceyisiu nationalhealthinsurancedatabasesinindonesiavietnamandthephilippines AT ramadaniroyasiaviki nationalhealthinsurancedatabasesinindonesiavietnamandthephilippines AT hendrawandonni nationalhealthinsurancedatabasesinindonesiavietnamandthephilippines AT ducduongtuan nationalhealthinsurancedatabasesinindonesiavietnamandthephilippines AT kietphamhuytuan nationalhealthinsurancedatabasesinindonesiavietnamandthephilippines |