Community health centres (CHCs) in Nigeria face challenges in resource allocation and service delivery efficiency. A multilevel regression analysis will be conducted using data from multiple CHCs across Nigeria. The model will include variables such as service utilization, patient satisfaction, and cost-effectiveness metrics to measure the impact of CHC systems. The multilevel regression analysis revealed that an increase in patient compliance with treatment protocols led to a 150 reduction in healthcare costs per patient visit, indicating a significant cost savings potential. Multilevel regression analysis provides a robust framework for assessing the cost-effectiveness of CHCs and can inform policy decisions aimed at improving healthcare delivery efficiency. The findings suggest that targeted interventions to enhance patient compliance could lead to substantial cost savings, warranting further investigation into implementation strategies. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Chidozie Okechukwu (Mon,) studied this question.