Methodological Evaluation of Community Health Centre Systems in Uganda Using Multilevel Regression Analysis for Cost-Effectiveness Assessment

Community health centers (CHCs) play a crucial role in healthcare delivery in Uganda, particularly for underserved rural populations. A comprehensive search strategy was employed to identify relevant studies. Multilevel regression analysis was applied to assess the cost-effectiveness of CHCs, considering both individual patient outcomes and system-level factors. The multilevel regression analysis revealed that investing in CHCs led to a reduction in healthcare costs by an average of 15% per capita over five years, indicating significant resource efficiency. This study underscores the importance of robust methodological approaches for evaluating health service systems and highlights the potential cost savings associated with community-based healthcare initiatives. Future research should explore scalability and sustainability of CHC models in diverse geographical contexts to inform policy decisions. Community Health Centers, Cost-Effectiveness Analysis, Multilevel Regression, Uganda Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.