Community health centres in South Africa have faced challenges in service delivery over recent years. A time-series forecasting model was employed to analyse data from to across multiple centres. The forecasting model showed an average yield increase of 5% in service delivery over the study period, with significant variance among different regions. This study provides a robust framework for evaluating and improving community health centre systems in South Africa using time-series analysis. Regular updates to the forecasting model are recommended based on ongoing performance data. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.