Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Dec;3(4):517-526.
doi: 10.1007/s41669-019-0127-2.

National Health Insurance Databases in Indonesia, Vietnam and the Philippines

Affiliations

National Health Insurance Databases in Indonesia, Vietnam and the Philippines

Junice Yi Siu Ng et al. Pharmacoecon Open. 2019 Dec.

Abstract

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.

PubMed Disclaimer

Conflict of interest statement

Donni Hendrawan and Pham Huy Tuan Kiet report previously receiving funding from Novo Nordisk as experts. Junice Yi Siu Ng is employed by IQVIA, a contract research organization. Royasia Viki Ramadani and Duong Tuan Duc declare that they have no conflicts of interest.

References

    1. Jones GW. The Population of South-East Asia. Singapore: Asia Research Institute; 2013.
    1. OECD/WHO . Health at a glance: Asia/Pacific 2016. Paris: OECD Publishing; 2016.
    1. Bezin J, Duong M, Lassalle R, Droz C, Pariente A, Blin P, et al. The national healthcare system claims databases in France, SNIIRAM and EGB: powerful tools for pharmacoepidemiology. Pharmacoepidemiol Drug Saf. 2017;26(8):954–962. - PubMed
    1. Kim J, Yoon S, Kim L-Y, Kim D-S. Towards actualizing the value potential of Korea Health Insurance Review and Assessment (HIRA) data as a resource for health research: strengths, limitations, applications, and strategies for optimal use of HIRA data. J Korean Med Sci. 2017;32(5):718–728. - PMC - PubMed
    1. Lai EC-C, Man KK, Chaiyakunapruk N, Cheng C-L, Chien H-C, Chui CS, et al. Brief report: databases in the Asia-Pacific region: the potential for a distributed network approach. Epidemiology. 2015;26(6):815–820. - PubMed

LinkOut - more resources