Bayesian Hierarchical Model for Assessing Efficiency Gains in Tanzanian District Hospitals Systems

Efficiency gains in healthcare systems are crucial for improving patient outcomes and resource utilization across Tanzania's district hospitals. A Bayesian hierarchical model was developed to analyse data from multiple district hospitals, accounting for both within-hospital variability and across-hospitals heterogeneity. The model incorporates uncertainty using robust standard errors. The analysis revealed a significant average efficiency gain of 15% across participating districts, indicating substantial potential for improvement in resource allocation and service delivery. This study highlights the effectiveness of Bayesian hierarchical models in assessing hospital system efficiencies, offering actionable insights for policymakers aiming to enhance healthcare services in Tanzania. Policymakers should consider implementing targeted interventions based on the identified efficiency gains, particularly focusing on resource management and service delivery improvements. Bayesian Hierarchical Model, District Hospitals, Efficiency Gains, Tanzanian Healthcare Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.