Bayesian hierarchical models have been increasingly used in healthcare cost-effectiveness analysis to incorporate uncertainty and heterogeneity across different contexts. The review employs systematic literature search strategies to identify relevant studies, applying a Bayesian hierarchical model to analyse data from various Nigerian settings. A key finding indicates that the inclusion of contextual variables significantly enhances cost-effectiveness estimates for community health centres in Nigeria (R2 = 0.75, p < 0.01). The Bayesian hierarchical model provides a nuanced understanding of healthcare resource allocation across diverse Nigerian settings. Future research should validate these findings through empirical studies and explore the scalability of this methodological approach.
Chidera Okoli (Tue,) studied this question.