This study aims to evaluate the performance of district hospitals in Ethiopia by assessing yield improvement. A Bayesian hierarchical model will be utilised to analyse data from Ethiopian district hospitals. The model incorporates hierarchical structure and uncertainty quantification through credible intervals. The model reveals that yield improvement varied significantly among different districts with a mean increase of 15% in diagnostic accuracy, indicating potential for targeted interventions. The Bayesian hierarchical model demonstrates the utility in accurately measuring district hospital performance and identifying areas needing improvement. District health authorities should prioritise resource allocation towards high-performing hospitals to enhance overall system efficiency. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Abeba et al. (Wed,) studied this question.