Methodological Evaluation of Community Health Centre Systems in Uganda Using Multilevel Regression Analysis

Community health centres (CHCs) in Uganda play a crucial role in addressing healthcare needs within rural areas. Despite their importance, there is limited empirical evidence on how effectively these systems operate and whether they can be optimised for better service delivery. The review employs rigorous methodologies to select relevant studies based on predefined inclusion criteria. Quantitative data from these studies are analysed using multilevel regression models to assess the impact of various factors on CHCs' performance. Multilevel regression analyses reveal significant variance in service delivery quality across different levels, suggesting that interventions targeting both individual providers and community-level factors could enhance efficiency gains. For instance, provider-specific feedback loops show an average improvement of 15% in patient satisfaction scores after implementing these mechanisms. This review underscores the importance of adopting a multilevel approach to understand CHCs' performance dynamics and highlights specific strategies for enhancing their operational effectiveness. The findings suggest that policymakers should prioritise training programmes for providers at both the individual and managerial levels, alongside community engagement initiatives. This combination is likely to yield substantial improvements in service quality and patient outcomes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.