District hospitals in Uganda face challenges in providing cost-effective healthcare services due to varying levels of infrastructure, staff training, and financial resources. A DiD regression analysis was conducted using administrative health data from to, focusing on patient outcomes and resource utilization. Uncertainty was quantified through robust standard errors. There is a significant improvement in treatment effectiveness (p < 0. 05) associated with increased investment in educational programmes for healthcare workers, which translated into reduced costs per treated patient by 12%. The DiD model effectively captured the impact of resource allocation on healthcare outcomes and cost-effectiveness among district hospitals in Uganda. Further studies should explore scalability and sustainability of these findings across different regions and contexts. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Mugerwa et al. (Tue,) studied this question.
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