Evidence map›Paper›PMID 39789552›Full record

ArticleBMC health services research2025

Determinants of healthcare utilization under the Indonesian national health insurance system - a cross-sectional study.

Qinglu Cheng, Rifqi Abdul Fattah, Dwidjo Susilo, Aryana Satrya, Manon Haemmerli, Soewarta Kosen, Danty Novitasari, Gemala Chairunnisa Puteri, Eviati Adawiyah, Andrew Hayen and 6 more

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Beyond medication: factors contributing to uncontrolled hypertension from the 2023 Indonesian health survey.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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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

16 authors.

Qinglu ChengKirby Institute, University of New South Wales, Sydney, Australia. qcheng@kirby.unsw.edu.au.
Rifqi Abdul FattahCentre for Social Security Studies, University of Indonesia, Jakarta, Indonesia.
Dwidjo SusiloDepartment of Public Policy and Management, Faculty of Social and Political Sciences, Universitas Gadjah Mada, Sleman, Indonesia.
Aryana SatryaCentre for Social Security Studies, University of Indonesia, Jakarta, Indonesia.
Manon HaemmerliDepartment of Global Health and Development, London School of Hygiene & Tropical Medicine, London, UK.
Soewarta KosenIndependent consultant, Jakarta, Indonesia.
Danty NovitasariCentre for Social Security Studies, University of Indonesia, Jakarta, Indonesia.
Gemala Chairunnisa PuteriCentre for Social Security Studies, University of Indonesia, Jakarta, Indonesia.
Eviati AdawiyahBiostatistics and Demography Department, Faculty of Public Health, University of Indonesia, Jakarta, Indonesia.
Andrew HayenSchool of Public Health, University of Technology Sydney, Sydney, Australia.
Anne MillsDepartment of Global Health and Development, London School of Hygiene & Tropical Medicine, London, UK.
Viroj TangcharoensathienInternational Health Policy Programme, Ministry of Public Health, Nonthaburi, Thailand.
Stephen JanThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Hasbullah ThabranyThinkWell Indonesia, Jakarta, Indonesia.
Augustine Asante *School of Public Health & Community Medicine, University of New South Wales, Sydney, Australia.
Virginia Wiseman *Kirby Institute, University of New South Wales, Sydney, Australia.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundIndonesia has implemented a series of healthcare reforms including its national health insurance scheme (Jaminan Kesehatan Nasional, JKN) to achieve universal health coverage. However, there is evidence of inequitable healthcare utilization in Indonesia, raising concerns that the poor might not be benefiting fully from government subsidies. This study aims to identify factors affecting healthcare utilization in Indonesia.

methodsThis study analysed cross-sectional survey data collected by the "Equity and Health Care Financing in Indonesia" (ENHANCE) Study. Andersen's behavioural model of health services use was adopted as a framework for understanding healthcare utilization in Indonesia. Sociodemographic variables were categorized into predisposing, enabling and need factors. Outcome measures included the utilization of primary and secondary health services. Multi-level logistic regression models were run to examine factors associated with each type of health service utilization.

resultsOf the 31,864 individuals included in the ENHANCE survey, around 14% had used outpatient services in the past month. Fewer than 5% of the study population had visited hospitals for inpatient care and about 23% used maternal and child health services in the past 12 months. Age, gender and self-rated health were key determinants of health services utilization. No significant differences in primary care utilization were found among people with different insurance status, but people who received subsidised premiums under the JKN were more likely to receive primary care from public health facilities and less likely from private health facilities. Compared to people who pay JKN insurance premiums themselves, the uninsured and those whose premiums were subsidised by the government were less likely to visit public and private hospitals when other factors were controlled.

conclusionThis study demonstrates that the distribution of healthcare utilization in Indonesia is largely equitable as predisposing factors (age and gender) and health need were found to greatly influence the utilization of different types of health services. However, enabling factors such as health insurance status were also found to be associated with inequity in utilization of hospital services. Further policy actions regarding resource allocation and health service planning are warranted to achieve a more equitable pattern of health service use in Indonesia.

Indexed as

National Health ProgramsAdolescentAdultAgedCross-Sectional StudiesFemaleHumansIndonesiaMaleMiddle AgedPatient Acceptance of Health CareSocioeconomic FactorsYoung AdultAndersen’s behavioural modelHealthcare utilizationIndonesiaJaminan Kesehatan Nasional

Identifiers

PMID39789552
PMCPMC11716004

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.