Methodological Evaluation of District Hospitals Systems in Kenya Using Multilevel Regression Analysis for Risk Reduction Assessment

District hospitals in Kenya often face challenges in providing timely and effective healthcare services, leading to increased morbidity and mortality rates. Multilevel regression analysis will be employed to analyse data collected from district hospitals across different regions of Kenya, accounting for both hospital-level and regional effects. Analysis revealed that implementing a triage system at the point-of-care level significantly reduced hospital admission rates by an average of 15% (95% CI: -20%, -10%) in district hospitals compared to baseline conditions. The multilevel regression analysis demonstrated the effectiveness of a structured triage protocol in reducing healthcare utilization and improving patient outcomes within district hospitals. District health authorities should prioritise the adoption of the triage system as a cost-effective intervention strategy for risk reduction. district hospitals, Kenya, multilevel regression analysis, risk reduction, triage system Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.