Dropping out of voluntary community-based health insurance in rural Uganda: Evidence from a cross-sectional study in rural south-western Uganda

PLoS One. 2021 Jul 16;16(7):e0253368. doi: 10.1371/journal.pone.0253368. eCollection 2021.

Abstract

Aim: Community Based Health Insurance (CBHI) schemes have become central to health systems financing as avenues of achieving universal health coverage in developing countries. Yet, while emphasis in research and policy has mainly concentrated on enrolment, very little has been apportioned to high rates of dropping out after initial enrolment. The main aim of this study is to understand the factors behind CBHI dropping out through a cross-sectional quantitative research design to gain insights into curtailing the drop out of CBHI in Uganda.

Methods: The survey for the quantitative research component took place between August 2015 and March 2016 covering 464 households with under-5 children in south-western Uganda. To understand the factors associated with dropping out of CBHI, we employ a multivariate logistic regression on a subsample of 251 households who were either currently enrolled or had enrolled at one time and later dropped out.

Results: Overall, we find that 25.1 percent of the households that had ever enrolled in insurance reported dropping out. Household socioeconomic status (wealth) was one of the key factors that associated with dropping out. Larger household sizes and distance from the hospital were significantly associated with dropping out. More socially connected households were less likely to drop out revealing the influence of community social capital in keeping households insured.

Conclusion: The findings have implications for addressing equity and inclusion concerns in community-based health insurance programmes such as one in south-western Uganda. Even when community based informal system aim for inclusion of the poorest, they are not enough and often the poorest of the poor slip into the cracks and remain uninsured or drop out. Moreover, policy interventions toward curtailing high dropout rates should be considered to ensure financial sustainability of CBHI schemes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Community-Based Health Insurance / statistics & numerical data*
  • Cross-Sectional Studies
  • Female
  • Humans
  • Insurance, Health / statistics & numerical data
  • Male
  • Medically Uninsured / statistics & numerical data*
  • Rural Population / statistics & numerical data
  • Socioeconomic Factors
  • Uganda

Grants and funding

This research project has been supported by PhD Grant from the Foundation Fiat Panis (http://www.stiftung-fiat-panis.de/de/) and DAAD (German Academic Exchange Service) program (https://www.daad.de/de/). The funder provided support in the form of salaries for author-ENR, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. ENR founded Apata Insights after the study was performed. The commercial affiliations did not provide any financial support nor did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.