The Ethiopian healthcare system faces challenges in providing equitable access to quality medical services across its diverse regions. District hospitals play a crucial role but often struggle with resource allocation and service delivery. A Bayesian hierarchical model was applied to analyse data from Ethiopian district hospitals. This approach accounts for variability across regions while estimating costs and outcomes per patient visit. The analysis revealed that cost-effectiveness varied significantly by region, with some districts showing substantial over-expenditure in certain services compared to others. The Bayesian hierarchical model provided nuanced insights into district hospital operations, highlighting disparities and suggesting targeted interventions for improvement. Policy recommendations include optimising resource allocation based on regional cost-effectiveness data, improving training programmes for healthcare providers, and enhancing public awareness campaigns. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Gebreab et al. (Sun,) studied this question.