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User fees, self-selection and the poor in Bangladesh

S Thomas1, J R Killingsworth, S Acharya

  • 1Health Economics Unit, Ministry of Health and Family Welfare, Bangladesh.

Insights

Implementing user fees in developing countries can harm the poor. This study suggests self-selection mechanisms within healthcare markets can effectively target aid and raise revenue without costly exemptions.

Area of Science:

  • Health economics
  • Public health policy
  • Developing country healthcare systems

Background:

  • Uncontrolled user fees in developing nations disproportionately affect impoverished populations.
  • Existing targeted exemption schemes for user fees are often inefficient and fail to reach intended beneficiaries.
  • Need for effective revenue generation and equitable patient targeting in resource-limited health sectors.

Purpose of the Study:

  • To examine the potential of user fees to generate revenue and target poorer patients effectively.
  • To explore alternative mechanisms for cost recovery in healthcare, avoiding complex and costly targeting strategies.
  • To assess the feasibility of self-selection as a method for identifying and supporting low-income patients.

Main Methods:

  • Case studies of cost recovery in the health and population sectors in Bangladesh.
  • Analysis of market conditions conducive to self-selection mechanisms.
  • Theoretical framework for how self-selection can enable cross-subsidization.

Main Results:

  • Under specific market conditions, user fees can be implemented to raise revenue.
  • Self-selection allows poorer patients to opt for appropriate healthcare services based on their financial means.
  • This mechanism bypasses the need for direct means-testing or external identification of poverty.

Conclusions:

  • Self-selection offers a viable strategy for targeting healthcare subsidies to the poor in developing countries.
  • This approach facilitates cross-subsidization by enabling the non-poor to subsidize the poor through market choices.
  • Policy implications for designing equitable and sustainable healthcare financing in resource-constrained settings.

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