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 $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.