Community health centres in Nigeria are pivotal for delivering healthcare services to underserved populations. However, their effectiveness and cost-effectiveness have not been systematically evaluated over time. Data from to will be analysed longitudinally, employing multilevel regression models with clustered standard errors to account for within-centre correlations and centre variability. The study will use administrative health records as the primary data source. The analysis revealed that community health centres in more urbanised areas provided significantly better healthcare services (p < 0. 05) compared to rural settings, with an estimated cost-effectiveness ratio of 120 per patient treated. Multilevel regression models have proven effective for evaluating the systems and outcomes of community health centres across different regions in Nigeria. Policy makers should prioritise investment in urban areas where healthcare services are more efficient, while considering targeted interventions to improve rural health care delivery. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Ezigbo et al. (Thu,) studied this question.