ArticleHealth policy OPEN2023
Whether or not to enroll, and stay enrolled? A Tanzanian cross-sectional study on voluntary health insurance.
Article in Health policy OPEN, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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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.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Institutional design features of health insurance subsidy programmes in Africa: a narrative review.International journal for equity in health · 2025Review
- Dropout rate from a community-based health insurance scheme and associated factors in the Hagere Mariam district: a mixed method study.Frontiers in public health · 2025Article
- Patient's willingness to pay for improved community health insurance in Tanzania.Health policy OPEN · 2024Article
- The role of risk preferences: voluntary health insurance in rural Tanzania.Health economics review · 2023Article
- Mandatory health insurance for the informal sector in Tanzania-has it worked anywhere!Frontiers in health services · 2023Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lower-middle income countries (LMICs) have invested significant effort into expanding insurance coverage as a means of improving access to health care. However, it has proven challenging to fulfill these ambitions. This study investigates to what extent variables associated with the enrollment decision (stay never-insured or enroll) differ from variables associated with the dropout decision (stay insured or drop out). A cross-sectional survey that included 722 households from rural districts in Tanzania was conducted and multinomial logistic regressions were performed to determine the associations between independent variables and membership status (never-insured, dropouts, or currently insured). Both the decision to enrollment and the decision to drop out were significantly associated with the presence of chronic disease and perceptions about the quality of services provided, insurance scheme management, and traditional healers. The effect of other variables, such as age, gender and educational level of the household head, household income, and perceptions about premium affordability and benefit-premium ratios, varied across the two groups. To improve voluntary health insurance coverage, policymakers must simultaneously increase the enrollment rate among the never-insured and reduce the dropout rate among the insured. Our conclusions suggest that policies to increase insurance scheme enrollment rates should differ for the two uninsured groups.
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Registered trials
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