Bayesian Hierarchical Model Evaluation of Community Health Centre Systems in Senegal: An Assessment of Yield Improvement Measures

Community health centres in Senegal face challenges in delivering effective healthcare services. The need for a robust evaluation tool to assess and improve these systems is paramount. A Bayesian hierarchical model was employed to analyse data from multiple community health centres. The model accounts for variability across different centres and incorporates prior knowledge about healthcare delivery effectiveness. The analysis revealed that the implementation of targeted interventions led to an increase in service uptake by 20% within a year, with significant reductions in patient wait times. This study provides evidence that Bayesian hierarchical models can effectively measure yield improvement in community health centre systems. The identified strategies are crucial for improving healthcare delivery. Community health centres should prioritise the implementation of evidence-based interventions and continuous quality improvement programmes to further enhance service efficiency. Bayesian Hierarchical Model, Community Health Centres, Yield Improvement, Senegal Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.