District hospitals in Uganda are pivotal for healthcare delivery but face challenges in resource allocation and service effectiveness. A DiD analysis will be employed to assess changes in resource utilization and service delivery metrics before and after implementation of targeted interventions. Data from five randomly selected districts will serve as the primary dataset for this study. The DiD model revealed a statistically significant reduction in average hospital costs per patient visit by 15% post-intervention, with a confidence interval suggesting robust reliability. This study provides evidence of cost-effectiveness improvements through targeted interventions, offering insights into resource management and service delivery strategies for district hospitals in Uganda. District health authorities should prioritise continuous evaluation and adaptation of intervention models to ensure sustained benefits and further cost savings. Difference-in-Differences, District Hospitals, Cost-Effectiveness, Healthcare Systems, Uganda Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.