Community health centers in Ghana are critical for providing essential healthcare services to underserved populations. However, there is a need to evaluate and improve their clinical outcomes systematically. The methodological approach involves collecting data from multiple health centers using standardised assessment tools. A Bayesian hierarchical model is employed to account for variability at different levels (individual patient, clinic, and regional) in evaluating clinical outcomes. The analysis revealed a significant improvement in patient adherence rates across all clinics after implementing targeted interventions. The Bayesian hierarchical model demonstrated its effectiveness in quantifying the impact of interventions on clinical performance, providing actionable insights for healthcare managers. Healthcare providers should prioritise monitoring and addressing issues related to patient engagement to enhance overall service quality. Bayesian Hierarchical Model, Community Health Centers, Clinical Outcomes, Ghana Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Agyei et al. (Mon,) studied this question.