Evidence map›Paper›PMID 30859490›Full record

ArticlePharmacoEconomics - open2019

National Health Insurance Databases in Indonesia, Vietnam and the Philippines.

Junice Yi Siu Ng, Royasia Viki Ramadani, Donni Hendrawan, Duong Tuan Duc, Pham Huy Tuan Kiet

Abstract read
In one paragraph

Article in PharmacoEconomics - open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Article
  2. Overseas health checkup initiatives: perspectives on Vietnam.Environmental and occupational health practice · 2026
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  8. A framework for improved collaboration on HTA in the Asia-Pacific region: a role for HTAsiaLink.International journal of technology assessment in health care · 2024
    Review
  9. Article
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  12. Review
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  15. The sensitivity of hospital coding to prices: evidence from Indonesia.International journal of health economics and management · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Junice Yi Siu NgReal-World Insights, IQVIA Asia-Pacific, 79 Anson Road, #19-01, Singapore, 079906, Singapore. nysjunice@gmail.com.
Royasia Viki RamadaniCenter for Health Economics and Policy Studies, Faculty of Public Health, Universitas Indonesia, Beji, Kota Depok, Jawa Barat, Indonesia.
Donni HendrawanPrimary Health Care Financing, Badan Penyelenggara Jaminan Sosial Kesehatan, Jakarta, Indonesia.
Duong Tuan DucNorth Center for Medical Review and Tertiary Care Payment, Vietnam Social Security, Hanoi, Vietnam.
Pham Huy Tuan KietDepartment of Health Economics, Hanoi Medical University, Hanoi, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial 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.

resultsAll 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.

conclusionThe 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.

Identifiers

PMID30859490
PMCPMC6861401

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.