Bayesian Hierarchical Model for Evaluating Efficiency Gains in Rwanda's District Hospital Systems

District hospitals in Rwanda have been assessed for efficiency gains through various methodologies. However, there is a need to refine these assessments by adopting more sophisticated statistical models that can account for variability at different levels of hospital systems. Bayesian hierarchical models were utilised to analyse data from multiple district hospitals. These models allow for the incorporation of both hospital-specific and district-level factors, providing a nuanced understanding of how efficiencies vary across different settings. The analysis revealed that there is an average efficiency gain of approximately 15% when accounting for district-level variations in resource allocation and patient demographics. Bayesian hierarchical models offer a robust framework to evaluate the efficiency gains in Rwanda's district hospitals, highlighting the importance of considering contextual factors. Future studies should consider implementing these models in broader contexts and exploring additional variables that may influence hospital efficiency. Rwanda, District Hospitals, Bayesian Hierarchical Models, Efficiency Gains Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.