African Rehabilitation Medicine | 09 February 2000
Bayesian Hierarchical Model for Evaluating Clinical Outcomes in District Hospitals Systems in Kenya
O, l, u, o, c, h, M, w, a, n, g, i, ,, W, a, f, u, l, a, N, g, u, g, i, ,, K, a, m, a, u, O, t, i, e, n, o
Abstract
District hospitals in Kenya play a crucial role in primary healthcare delivery but often face challenges in maintaining optimal clinical outcomes. A Bayesian hierarchical model was employed to analyse data from multiple district hospitals across Kenya. The model accounts for hospital-specific variability by incorporating random effects that vary according to geographical regions. The analysis revealed significant heterogeneity in clinical outcomes between different regions, with some areas showing a 20% improvement in treatment efficacy compared to others. Bayesian hierarchical models provide a robust framework for understanding and enhancing the performance of district hospitals in Kenya. District hospital management should focus on regional-specific interventions based on model findings to optimise clinical outcomes. Treatment effect was estimated with $\text{logit}(p<em>i)=\beta</em>0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.