ArticleHealth economics review2025
Payment compliance of informal sector workers in Indonesia National Health Insurance: a study on ability and willingness to pay.
Article in Health economics review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrently, the Indonesian National Health Insurance (NHI) covers over 90% of the population. However, around 18% of the enrolees are inactive, failing to pay premiums regularly, with proportions varying across membership types. This situation could impede access to health services and influence overall enrolees' health. This study seeks to assess the ability and willingness to pay, and to identify the factors influencing them among informal workers in relation to compliance and commitment to NHI premium payments.
methodsThis nation-wide survey covered fifteen districts and 4,059 respondents, examining the ability to pay and willingness to pay among informal sector workers under the NHI scheme. Willingness to pay was calculated using a bidding game, while ability to pay was calculated as 5% of disposable income, using household expenditure as a proxy for income. Logistic regression was used to explore factors influencing compliance. Variables of interest included household expenditure, membership class, regional area, payment commitment, risk aversion, and out-of-pocket expenses, while control variables comprised demographic characteristics, family medical history, healthcare utilisation, and satisfaction rate.
resultsThe ability to pay the premium among enrolees was generally below the current premium level, except for active enrolees in the third class. While active enrolees expressed a willingness to pay about 10% more than the existing premium, inactive enrolees were only willing to pay about 50% of it. Compliance to pay the premium was influenced by non-food and tobacco expenditures, willingness to pay, risk aversion, catastrophic illness, healthcare utilization, size of household members, and patient satisfaction. Additional factors positively influencing compliance included food and non-food expenditures, NHI literacy, and enrolee class. CONCLUSION AND RECOMMENDATION: To enhance health care access, policy efforts must address the disparity between current premium levels and informal sector workers' financial capacity and willingness to pay. Given constrained government budgets, cross-sector collaboration is necessary to support stable incomes for these workers. Furthermore, strategies that foster risk awareness and payment commitment, through targeted outreach and improved health insurance literacy, may enhance long-term compliance and coverage.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.