Evidence map›Paper›PMID 34607864›Full record

ArticleBMJ open2021

Is Indonesia achieving universal health coverage? Secondary analysis of national data on insurance coverage, health spending and service availability.

Agnes Bhakti Pratiwi, Hermawati Setiyaningsih, Maarten Olivier Kok, Trynke Hoekstra, Ali Ghufron Mukti, Elizabeth Pisani

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Sample representativeness and temporal comparability in SEAR study.The Lancet regional health. Southeast Asia · 2025
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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

6 authors.

Agnes Bhakti PratiwiDepartment of Ethics, Law, and Humanities, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands agnes.b.p@ugm.ac.id.ORCID 0000-0002-8567-1617
Hermawati SetiyaningsihCentre for Health Financing Policy and Health Insurance Management, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.ORCID 0000-0002-1355-5035
Maarten Olivier KokErasmus School for Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-8957-1253
Trynke HoekstraDepartment of Health Sciences and Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-0535-0056
Ali Ghufron MuktiDepartment of Public Health, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Elizabeth PisaniErasmus School for Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-3674-631X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyse the relationship between health need, insurance coverage, health service availability, service use, insurance claims and out-of-pocket spending on health across Indonesia.

designSecondary analysis of nationally representative quantitative data. We merged four national data sets: the National Socioeconomic Survey 2018, National Census of Villages 2018, Population Health Development Index 2018 and National Insurance Records to end 2017. Descriptive analysis and linear regression were performed.

settingIndonesia has one of the world's largest single-payer national health insurance schemes. Data are individual and district level; all are representative for each of the country's 514 districts.

participantsAnonymised secondary data from 1 131 825 individual records in the National Socioeconomic Survey and 83 931 village records in the village census. Aggregate data for 220 million insured citizens. PRIMARY OUTCOME MEASURES: Health service use and out-of-pocket payments, by health need, insurance status and service availability. Secondary outcome: insurance claims.

resultsSelf-reported national health insurance registration (60.6%) is about 10% lower compared with the insurer's report (71.1%). Insurance coverage is highest in poorer areas, where service provision, and thus service use and health spending, are lowest. Inpatient use is higher among the insured than the uninsured (OR 2.35, 95% CI 2.27 to 2.42), controlling for health need and access), and poorer patients are most likely to report free inpatient care (53% in wealth quintile 1 vs 41% in Q5). Insured patients spend US$ 3.14 more on hospitalisation than the uninsured (95% CI 1.98 to 4.31), but the difference disappears when controlled for wealth. Lack of services is a major constraint on service use, insurance claims and out-of-pocket spending.

conclusionsThe Indonesian public insurance system protects many inpatients, especially the poorest, from excessive spending. However, others, especially in Eastern Indonesia cannot benefit because few services are available. To achieve health equity, the Indonesian government needs to address supply side constraints and reduce structural underfunding.

Indexed as

Insurance CoverageUniversal Health InsuranceHealth ExpendituresHumansIndonesiaMedically Uninsuredhealth economicshealth policyhealth services administration & management

Identifiers

PMID34607864
PMCPMC8491299

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Registered trials

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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.