Bayesian Hierarchical Model for Measuring Cost-Effectiveness of District Hospitals in Ethiopia from 2002 to 2002

This study aims to evaluate the cost-effectiveness of district hospitals in Ethiopia over a decade. A longitudinal study using a Bayesian hierarchical model with robust standard errors was conducted. The model accounts for varying hospital performance across districts over time. The model demonstrated significant variability in cost-effectiveness measures between hospitals and regions, indicating the need for tailored interventions. Bayesian hierarchical models provide valuable insights into district hospital efficiency, offering a nuanced understanding of resource allocation challenges. District health managers should prioritise investment in high-performing facilities and consider regional disparities in cost-effectiveness measures. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.