Community health centers in Ethiopia have been established to improve healthcare access in rural areas. However, their effectiveness and operational efficiency are not well understood. A DiD model was employed to analyse pre- and post-intervention data from randomly selected clusters, with baseline characteristics balanced through matching techniques. The analysis revealed a statistically significant improvement in patient recovery rates (p < 0.05) after the implementation of community health centre services compared to non-comparable areas. This study confirms the utility of DiD for evaluating clinical outcomes in resource-limited settings, providing evidence-based insights for future policy development. Future research should consider expanding DiD applications and exploring other intervention metrics such as cost-effectiveness ratios. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.