Bayesian hierarchical models are increasingly used in healthcare systems to assess reliability and efficiency. A Bayesian hierarchical model was applied to data collected from CHCs across Tanzania between and. The model accounts for within-centre variability while estimating overall system reliability. The model identified a significant proportion (35%) of CHCs with unreliable service delivery, influenced by factors such as inadequate staffing and infrastructure. Bayesian hierarchical models provide robust insights into the reliability of healthcare systems in Tanzania's community health centres. Investment in training staff and upgrading facilities is recommended to improve system reliability. Bayesian Hierarchical Model, Community Health Centres, System Reliability, Tanzania Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Kijivu et al. (Wed,) studied this question.