ArticleInternational journal of environmental research and public health2018
Adverse Selection in Community Based Health Insurance among Informal Workers in Bangladesh: An EQ-5D Assessment.
Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- 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
- Health related quality of life among the below poverty line population in Bangladesh: A cross-sectional study.PLOS global public health · 2025Article
- Assessing the Determinants of Compliance with Contribution Payments to the National Health Insurance Scheme among Informal Workers in Indonesia.International journal of environmental research and public health · 2023Article
- Associations of Cognitive Complaints and Depressive Symptoms with Health-Related Quality of Life and Perceived Overall Health in Japanese Adult Volunteers.International journal of environmental research and public health · 2021Article
- The effect of a community-based health insurance on the out-of-pocket payments for utilizing medically trained providers in Bangladesh.International health · 2020Article
- Who enrols in voluntary micro health insurance schemes in low-resource settings? Experience from a rural area in Bangladesh.Global health action · 2018Article
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Authors and funding
7 authors.
Funding
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Abstract
Community-based Health Insurance (CBHI) schemes are recommended for providing financial risk protection to low-income informal workers in Bangladesh. We assessed the problem of adverse selection in a pilot CBHI scheme in this context. In total, 1292 (646 insured and 646 uninsured) respondents were surveyed using the Bengali version of the EuroQuol-5 dimensions (EQ-5D) questionnaire for assessing their health status. The EQ-5D scores were estimated using available regional tariffs. Multiple logistic regression was applied for predicting the association between health status and CBHI scheme enrolment. A higher number of insured reported problems in mobility (7.3%;
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