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

Community health centers (CHCs) play a critical role in healthcare delivery across Uganda, especially in rural and underserved areas. However, their cost-effectiveness remains under-researched. The study will utilise multilevel regression models to analyse cost parameters at both individual patient and organisational levels. Uncertainty around model estimates will be addressed using robust standard errors. A preliminary analysis suggests that CHCs in rural settings have higher operational costs but achieve better health outcomes, indicating a need for targeted interventions to optimise resource allocation. The findings highlight the importance of stratified models in assessing cost-effectiveness and suggest areas where further research could enhance service delivery efficiency. Policy makers should prioritise investments in CHCs with evidence-based strategies tailored to specific community needs, considering both financial and health impact. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.