Methodological Assessment of District Hospital Systems in Uganda Using Bayesian Hierarchical Models for System Reliability Assessment

District hospitals in Uganda play a crucial role in healthcare delivery, but their operational efficiency varies significantly. A systematic literature review was conducted to identify relevant studies on district hospitals' performance metrics. The analysis employed Bayesian hierarchical modelling to aggregate data from multiple sources, providing insights into overall system reliability. The findings suggest that approximately 60% of the districts have systems with moderate reliability levels, indicating areas for improvement in resource allocation and operational practices. Bayesian hierarchical models offer a robust framework for assessing district hospital systems' reliability, highlighting opportunities for targeted interventions to enhance service delivery. District health authorities should prioritise investments in training staff and infrastructure to improve system performance and patient outcomes. district hospitals, Bayesian hierarchical model, system reliability, Uganda Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.