Community health centres (CHCs) in Ethiopia play a crucial role in primary healthcare delivery. However, their effectiveness varies significantly across regions and systems. A Bayesian hierarchical model was applied to assess yield improvements within different CHC systems in Ethiopia. The model accounts for heterogeneity across regions while estimating overall system performance. The model revealed that the average yield improvement rate varied from 10% to 25% across CHCs, with significant variance observed among districts. The Bayesian hierarchical model was effective in identifying areas needing intervention and provided a nuanced understanding of regional disparities. Interventions focusing on resource allocation and training programmes are recommended for the lower-performing regions to achieve uniform yield improvement. Bayesian Hierarchical Model, Community Health Centres, Ethiopia, Yield Improvement Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Mengistu Bekeleiniya (Sun,) studied this question.