Step-wedge cluster-randomised community-based trials: An application to the study of the impact of community health insurance
2008

Impact of Community Health Insurance in West Africa

Sample size: 990 publication Evidence: moderate

Author Information

Author(s): De Allegri Manuela, Pokhrel Subhash, Becher Heiko, Dong Hengjin, Mansmann Ulrich, Kouyaté Bocar, Kynast-Wolf Gisela, Gbangou Adjima, Sanon Mamadou, Bridges John, Sauerborn Rainer

Primary Institution: Department of Tropical Hygiene and Public Health, University of Heidelberg, Germany

Hypothesis

The study aims to provide conclusive evidence on the impact of community health insurance (CHI) on health service utilization and protection against the cost of illness.

Conclusion

The study demonstrates that conducting sophisticated trials to generate sound public health evidence is feasible and valuable in low-income settings.

Supporting Evidence

  • Community health insurance can increase access to health services.
  • The study design allows for the evaluation of complex health interventions.
  • Trials like this can be conducted effectively in low-income settings.
  • Data collection included socio-demographic characteristics and health care seeking behavior.
  • Propensity score techniques were used to minimize selection bias.
  • Households were surveyed annually to assess the impact of the insurance scheme.

Takeaway

This study shows that community health insurance can help people get better health care and protect them from high medical costs, even in poorer areas.

Methodology

A step-wedge cluster-randomised trial was conducted in the Nouna Health District of Burkina Faso, with households surveyed annually to assess health service utilization and financial protection.

Potential Biases

Potential selection bias due to self-selection into the insurance scheme was addressed using propensity score techniques.

Limitations

The study faced challenges with increasing enrolment rates, which were below expectations, and the need for methodological adaptations during the trial.

Participant Demographics

The study involved a population of approximately 70,000 individuals in the Nouna Health District.

Digital Object Identifier (DOI)

10.1186/1478-4505-6-10

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