Community health centres in Senegal have been evaluated for their effectiveness in improving health outcomes through various interventions. However, there is a need to systematically review and methodologically evaluate these systems using advanced statistical models. A comprehensive search strategy was employed to identify relevant studies. The evaluation focused on identifying consistent patterns across multiple studies using a Bayesian hierarchical model for data synthesis and inference. The analysis revealed significant variability in the effectiveness of community health centres, with some showing substantial yield improvement while others exhibited marginal gains. This heterogeneity suggests that contextual factors play a crucial role in determining the success of these interventions. Bayesian hierarchical models offer valuable insights into the complex interactions within community health systems, enabling more nuanced assessments and tailored strategies for improvement. Future research should consider incorporating additional variables to enhance model accuracy and explore specific policy recommendations based on findings from this review. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Ndiaye et al. (Fri,) studied this question.