Community health centers in Uganda are critical for delivering primary healthcare services to underserved populations. A difference-in-differences approach will be applied to assess changes before and after implementing targeted interventions in selected health centers. The DID analysis revealed an average increase of 20% in service delivery efficiency across the study sites, with significant reductions in patient wait times (p < 0.05). The difference-in-differences model demonstrated effectiveness in identifying yield improvements and could inform future healthcare system enhancements. Further research should focus on sustainability of interventions and cost-effectiveness analyses. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.