District hospitals in Ethiopia face challenges in resource allocation and service delivery, impacting patient outcomes. A Bayesian hierarchical model was applied to aggregate data from multiple studies on district hospital performance across Ethiopia. The analysis revealed an average efficiency gain of 15% in resource utilization, indicating potential improvements in service delivery. Bayesian hierarchical modelling provided a nuanced understanding of efficiency gains and highlighted areas for intervention within the Ethiopian health system. District hospitals should prioritise training programmes to enhance staff performance and implement data-driven management strategies. Meta-analysis, Bayesian hierarchical model, district hospitals, Ethiopia, resource utilization Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.