Methodological Evaluation of Community Health Centre Systems in Uganda Using Time-Series Forecasting Models for Risk Reduction Analysis

Community health centers in Uganda face challenges in resource allocation and service delivery that impact patient outcomes. The review will systematically assess existing studies on community health centers in Uganda, focusing on the efficacy of time-series forecasting models in reducing healthcare risks and improving service delivery efficiency. Time-series forecasting models have shown a positive correlation between model accuracy and reduced patient wait times by up to 30% in some settings. The review underscores the potential of advanced statistical methods for enhancing community health centre performance, with specific improvements observed in reducing healthcare risks and service delivery inefficiencies. Policy makers should prioritise investment in training staff on time-series forecasting techniques to optimise resource allocation and improve patient care in Uganda’s community health centers. community health centres, risk reduction, time-series forecasting, Uganda, statistical models Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.