Determinants of individual healthcare expenditure: A cross-sectional analysis in rural Burkina Faso

Int J Health Plann Manage. 2019 Oct;34(4):e1478-e1494. doi: 10.1002/hpm.2812. Epub 2019 Jun 21.

Abstract

Introduction: Overwhelming evidence suggests that out-of-pocket expenditures (OOPEs) hamper access to care and impose a heavy economic burden across sub-Saharan Africa (SSA). Still, current user fee reduction and removal policies often target specific groups and services, leaving large sections of the population exposed to OOPE.

Methods: To estimate the magnitude and the determinants of OOPE for curative services in Burkina Faso, we used data from a household survey conducted in 24 districts between October 2013 and March 2014 (n = 7844). Given a context of medical pluralism, we purposely focused on total OOPE irrespective of type of care sought. We used a two-part regression model to estimate determinants of OOPE.

Results: Nearly 60% of those who reported an illness episode incurred a positive expenditure, with an average amount of 9362.52 FRS CFA per episode (1 USD = 577.94 FRS CFA). The first model revealed that the probability of incurring a positive OOPE was positively associated with perceived illness severity (P < .001), hospitalization (P < .001), and negatively associated with age (P = .026), distance (P = .060), and poorest wealth quintile (P = .054). The second model revealed that the magnitude of OOPE was positively associated with age (P = .087), education (P = .025), being household head (P = .015), having a chronic comorbidity (P = .025), perceived illness severity (P = .029), and hospitalization (P < .001) and negatively associated with symptoms unlikely to lead to adverse outcomes if not attended to in time (P = .056).

Conclusion: Our findings indicate that OOPEs remain a problem in Burkina Faso and that broader spectrum policy reforms are urgently needed to ensure adequate financial protection.

Keywords: Burkina Faso; health financing; health spending; out-of-pocket expenditure.

MeSH terms

  • Adolescent
  • Age Factors
  • Burkina Faso
  • Child
  • Cross-Sectional Studies
  • Female
  • Health Care Reform / economics
  • Health Care Surveys
  • Health Expenditures / statistics & numerical data*
  • Humans
  • Male
  • Rural Population / statistics & numerical data*
  • Severity of Illness Index
  • Socioeconomic Factors