IDEAS home Printed from https://ideas.repec.org/a/spr/pharmo/v3y2019i4d10.1007_s41669-019-0127-2.html
   My bibliography  Save this article

National Health Insurance Databases in Indonesia, Vietnam and the Philippines

Author

Listed:
  • Junice Yi Siu Ng

    (Real-World Insights, IQVIA Asia-Pacific)

  • Royasia Viki Ramadani

    (Universitas Indonesia)

  • Donni Hendrawan

    (Primary Health Care Financing, Badan Penyelenggara Jaminan Sosial Kesehatan)

  • Duong Tuan Duc

    (North Center for Medical Review and Tertiary Care Payment, Vietnam Social Security)

  • Pham Huy Tuan Kiet

    (Hanoi Medical University)

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.

Suggested Citation

  • Junice Yi Siu Ng & Royasia Viki Ramadani & Donni Hendrawan & Duong Tuan Duc & Pham Huy Tuan Kiet, 2019. "National Health Insurance Databases in Indonesia, Vietnam and the Philippines," PharmacoEconomics - Open, Springer, vol. 3(4), pages 517-526, December.
    • Handle: RePEc:spr:pharmo:v:3:y:2019:i:4:d:10.1007_s41669-019-0127-2
    DOI: 10.1007/s41669-019-0127-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41669-019-0127-2
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1007/s41669-019-0127-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Martin Chalkley & Budi Hidayat & Royasia Viki Ramadani & María José Aragón, 2022. "The sensitivity of hospital coding to prices: evidence from Indonesia," International Journal of Health Economics and Management, Springer, vol. 22(2), pages 147-162, June.
    2. Anis Fuad, 2019. "Indonesian Social Health Insurance Sample Data are Now Available and Accessible for Research," PharmacoEconomics - Open, Springer, vol. 3(4), pages 643-645, December.
    3. Hui Sin Teo & Dao Lan Huong, 2020. "Improving Efficiency in the Health Sector," World Bank Publications - Reports 33772, The World Bank Group.
    4. My Hanh Bui & Quang Cuong Le & Duc Hung Duong & Truong Son Nguyen & Binh Giang Tran & Tuan Duc Duong & Tien Hung Tran & Huu Chinh Nguyen & Thi Tuyet Mai Kieu & Hong Ha Nguyen & Long Hoang & Thanh Binh, 2020. "Economic burden of venous thromboembolism in surgical patients: A propensity score analysis from the national claims database in Vietnam," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-11, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:pharmo:v:3:y:2019:i:4:d:10.1007_s41669-019-0127-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.