SynthesisPloS one2016
What Factors Affect Voluntary Uptake of Community-Based Health Insurance Schemes in Low- and Middle-Income Countries? A Systematic Review and Meta-Analysis.
Synthesis in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 6 of them syntheses that pooled 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.
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
114 citing papers in PubMed, 6 syntheses or guidelines pooled it, 262 citations in OpenAlex.
- Determinants of private health insurance uptake and its association with healthcare utilization in Gulf Cooperation Council countries: a systematic review.Global health action · 2026Pooled it
- Health insurance purchase intentions in the past decade: a systematic review and future research directions.BMC health services research · 2025Pooled it
- Dropout rate and associated factors of community-based health insurance beneficiaries in Ethiopia: a systematic review and meta-analysis.BMC public health · 2023Pooled it
- Household satisfaction and associated factors with community-based health insurance scheme in Ethiopia: systematic review and meta-analysis.Global health research and policy · 2023Pooled it
- Pooled it
- Leaving no one behind? Social inclusion of health insurance in low- and middle-income countries: a systematic review.International journal for equity in health · 2019Pooled it
- Informing policy through evidence: A scoping review of factors that influence enrolment in community-based health insurance in East Africa.Global health research and policy · 2026Article
- Article
- Latent profiles of health insurance literacy, numeracy and supplementary voluntary health insurance enrollment.Health economics review · 2026Article
- Analysis and interpretation of the heterogeneity of community-based health insurance attributes and preferences in Senegal: evidence from a discrete choice experiment.Health economics review · 2026Article
- Drivers of community-based health insurance enrolment in post-war Tigray, Ethiopia.BMJ global health · 2026Article
- Medical insurance coverage and its associated factors among children in urban and rural Chongqing, China.International health · 2026Article
- Quality of care and health insurance uptake in Namibia.Journal of public health in Africa · 2026Article
- Article
- Willingness and perceived ability to pay for Uganda's proposed national health insurance scheme among informal sector workers in Iganga and Mayuge districts, Uganda: A contingent valuation method.PLOS global public health · 2026Article
- What factors influence enrolment in Nepal's National Health Insurance Program? A community-based cross-sectional study using the Health Belief Model.BMJ public health · 2026Article
- Women's Intention to Maintain Enrollment in Community-Based Health Insurance: A Multilevel Analysis in the Sidama Region, Southern Ethiopia, 2024.Health services insights · 2026Article
- Who remains uncovered? Assessing inequalities and determinants of national health insurance enrolment among informal sector workers in Kenya.Global health research and policy · 2025Article
- Analysing the determinants of healthcare insurance uptake in Nigeria.BMC health services research · 2025Article
- The global landscape of willingness to pay for community-based health insurance research: A bibliometric analysis.Journal of public health research · 2025Review
54 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThis research article reports on factors influencing initial voluntary uptake of community-based health insurance (CBHI) schemes in low- and middle-income countries (LMIC), and renewal decisions.
methodsFollowing PRISMA protocol, we conducted a comprehensive search of academic and gray literature, including academic databases in social science, economics and medical sciences (e.g., Econlit, Global health, Medline, Proquest) and other electronic resources (e.g., Eldis and Google scholar). Search strategies were developed using the thesaurus or index terms (e.g., MeSH) specific to the databases, combined with free text terms related to CBHI or health insurance. Searches were conducted from May 2013 to November 2013 in English, French, German, and Spanish. From the initial search yield of 15,770 hits, 54 relevant studies were retained for analysis of factors influencing enrolment and renewal decisions. The quantitative synthesis (informed by meta-analysis) and the qualitative analysis (informed by thematic synthesis) were compared to gain insight for an overall synthesis of findings/statements.
resultsMeta-analysis suggests that enrolments in CBHI were positively associated with household income, education and age of the household head (HHH), household size, female-headed household, married HHH and chronic illness episodes in the household. The thematic synthesis suggests the following factors as enablers for enrolment: (a) knowledge and understanding of insurance and CBHI, (b) quality of healthcare, (c) trust in scheme management. Factors found to be barriers to enrolment include: (a) inappropriate benefits package, (b) cultural beliefs, (c) affordability, (d) distance to healthcare facility, (e) lack of adequate legal and policy frameworks to support CBHI, and (f) stringent rules of some CBHI schemes. HHH education, household size and trust in the scheme management were positively associated with member renewal decisions. Other motivators were: (a) knowledge and understanding of insurance and CBHI, (b) healthcare quality, (c) trust in scheme management, and (d) receipt of an insurance payout the previous year. The barriers to renewal decisions were: (a) stringent rules of some CBHI schemes, (b) inadequate legal and policy frameworks to support CBHI and (c) inappropriate benefits package. CONCLUSION AND POLICY IMPLICATIONS: The demand-side factors positively affecting enrolment in CBHI include education, age, female household heads, and the socioeconomic status of households. Moreover, when individuals understand how their CBHI functions they are more likely to enroll and when people have a positive claims experience, they are more likely to renew. A higher prevalence of chronic conditions or the perception that healthcare is of good quality and nearby act as factors enhancing enrolment. The perception that services are distant or deficient leads to lower enrolments. The second insight is that trust in the scheme enables enrolment. Thirdly, clarity about the legal or policy framework acts as a factor influencing enrolments. This is significant, as it points to hitherto unpublished evidence that governments can effectively broaden their outreach to grassroots groups that are excluded from social protection by formulating supportive regulatory and policy provisions even if they cannot fund such schemes in full, by leveraging people's willingness to exercise voluntary and contributory enrolment in a community-based health insurance.
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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.