Multilevel Regression Analysis to Evaluate Efficiency Gains in Nigerian Community Health Centres Systems,

Community health centers (CHCs) play a crucial role in healthcare delivery in Nigeria. However, their efficiency and effectiveness have not been extensively evaluated. A multilevel regression model was employed, accounting for both patient-level and facility-level variations. The model considers predictors such as socioeconomic status, healthcare infrastructure, and service delivery quality. The analysis revealed that implementing a tiered referral system significantly improved service efficiency by reducing the time patients spent in queues (by approximately 20% on average). This study demonstrates the potential of multilevel regression for assessing healthcare efficiency, providing insights into policy-making and resource allocation. Future research should explore the scalability and sustainability of these findings across different regions to inform broader health system improvements. Community Health Centers, Multilevel Regression Analysis, Efficiency Gains, Nigerian Healthcare Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.