Maternal care systems in Uganda face challenges related to clinical outcomes and facility performance. A Bayesian hierarchical model will be applied to assess clinical outcomes across multiple hospitals in Uganda. This approach allows for the incorporation of both individual facility data and aggregated national data to provide more nuanced insights into care quality. The analysis revealed significant variations in clinical outcome measures between different regions, with a particular concern noted regarding neonatal mortality rates (NMR) which were found to be disproportionately high in rural areas compared to urban settings. This study highlights the need for targeted interventions focusing on improving maternal and neonatal care services in underserved regions of Uganda. Specific recommendations include developing culturally sensitive training programmes, increasing access to essential equipment, and enhancing surveillance systems to monitor NMR rates more effectively. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Kamya et al. (Sun,) studied this question.