The effect of a community-based health insurance on the out-of-pocket payments for utilizing medically trained providers in Bangladesh

Int Health. 2020 Jul 1;12(4):287-298. doi: 10.1093/inthealth/ihz083.

Abstract

Background: We aimed to estimate the effect of the community-based health insurance (CBHI) scheme on the magnitude of out-of-pocket (OOP) payments for the healthcare of the informal workers and their dependents. The CBHI scheme was piloted through a cooperative of informal workers, which covered seven unions in Chandpur Sadar Upazila, Bangladesh.

Methods: A quasi-experimental study was conducted using a case-comparison design. In total 1292 (646 insured and 646 uninsured) households were surveyed. Propensity score matching was done to minimize the observed baseline differences in the characteristics between the insured and uninsured groups. A two-part regression model was applied using both the probability of OOP spending and magnitude of such spending for healthcare in assessing the association with enrolment status in the CBHI scheme while controlling for other covariates.

Results: The OOP payment was 6.4% (p < 0.001) lower for medically trained provider (MTP) utilization among the insured compared with the uninsured. However, no significant difference was found in the OOP payments for healthcare utilization from all kind of providers, including the non-trained ones.

Conclusions: The CBHI scheme could reduce OOP payments while providing better quality healthcare through the increased use of MTPs, which consequently could push the country towards universal health coverage.

Keywords: Bangladesh; community-based health insurance; healthcare financing; informal workers; out-of-pocket payments.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Bangladesh
  • Community-Based Health Insurance / statistics & numerical data*
  • Family Characteristics*
  • Female
  • Financing, Personal / economics
  • Financing, Personal / statistics & numerical data*
  • Health Expenditures / statistics & numerical data*
  • Humans
  • Insurance, Health / statistics & numerical data
  • Male
  • Medically Uninsured / statistics & numerical data
  • Patient Acceptance of Health Care
  • Pilot Projects