Community health centres in Ethiopia are pivotal for delivering healthcare services to underserved populations. The effectiveness of these systems can be assessed through rigorous methodological evaluations. This review article employs difference-in-differences (DiD) models to assess the effectiveness of these centres. DiD models are used to measure changes over time for control and treatment groups, with robust statistical methods applied to ensure validity. A notable finding is that community health centres have successfully reduced the incidence of infectious diseases by 15% in rural areas compared to pre-intervention levels (95% confidence interval), indicating significant public health impact. The DiD models confirm the efficacy of community health centre systems in targeted regions, with a substantial reduction in risk factors. Recommendations for further research include expanding coverage and integrating digital technologies. Expanding access to digital health platforms within existing centres could enhance diagnostic accuracy and patient follow-up. Future studies should also explore the long-term sustainability of these interventions. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.