Who enrols in voluntary micro health insurance schemes in low-resource settings? Experience from a rural area in Bangladesh

Glob Health Action. 2018;11(1):1525039. doi: 10.1080/16549716.2018.1525039.

Abstract

Background: Micro health insurance (MHI) has proved to be a potential health-financing tool for many developing countries. Bangladesh also included MHI in its current health-financing strategy which aims to achieve universal health coverage. However, low uptake, low renewal and high dropouts have historically challenged financial sustainability of these schemes.

Objective: This study aims to identify factors influencing people from low-resource settings, particularly those from Bangladesh, to enrol in MHI schemes.

Methods: The study analyses the 'Amader Shasthya' MHI scheme operating in Chakaria, a sub-district under Cox's Bazar district, Bangladesh. A household survey was carried out during May-June 2016 among 2,000 households from the scheme coverage area. The Outreville's insurance-demand framework was used to identify enrolment influencing factors. Multivariate logistic regression analysis was carried out to identify significant influencing factors of enrolment.

Results: Enrolment influencing factors were identified in four dimensions: economic, socio-cultural, demographic and structural. Households with the main income earner having 10+ years of schooling (odds 1.9 [CI 1.2-2.9] compared to illiterate), having financial literacy (odds 1.5 [CI 1.2-1.8] compared to financially illiterate) and being a public/private service holder (odds 1.6 [CI 1.1-2.4] compared to menial labour) were more likely to enrol. Membership in development programmes of NGOs also influenced enrolment decision significantly (odds 1.3 [CI 1.0-1.5]). The presence of chronic illness in household encouraged enrolment (odds 1.5 [CI 1.2-1.8]). Households living closer to health centres were more likely to enrol (odds 2.1 [CI 1.6-2.7]) compared to those living further away.

Conclusion: The findings are expected to have significant implications in terms of designing similar health insurance schemes, particularly in terms of designing demand-driven and context adapted schemes that have greater potential to attract a larger client pool, ensure effective risk pooling and eventually expedite the achievement of universal health coverage in low-resource settings.

Keywords: Bangladesh; Health financing; Outreville’s insurance demand framework; enrolment; moral hazard.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Bangladesh
  • Decision Making
  • Developing Countries / statistics & numerical data*
  • Female
  • Healthcare Financing*
  • Humans
  • Insurance, Health / statistics & numerical data*
  • Male
  • Middle Aged
  • Poverty / statistics & numerical data*
  • Rural Population / statistics & numerical data*
  • Socioeconomic Factors
  • Universal Health Insurance / statistics & numerical data*

Grants and funding

The current research was funded by The Rockefeller Foundation through the JPG School of Public Health, BRAC University, grant number GR-01315.