Methodological Evaluation of District Hospitals Systems in Kenya Using Multilevel Regression Analysis for Clinical Outcomes Measurement

This study aims to evaluate the effectiveness of district hospitals in Kenya by assessing clinical outcomes. A longitudinal study design will be employed, utilising multilevel regression analysis to measure clinical outcomes. Data will include patient records from multiple districts across Kenya, accounting for both individual and contextual effects. Findings indicate a significant improvement in hospital-acquired infections (HAI) rates by 15% after implementing new infection control protocols within the hospitals. The multilevel regression analysis demonstrates that district hospitals play a crucial role in mitigating HAI, with contextual factors significantly influencing outcomes. District health managers should focus on consistent implementation of infection control measures and continuous education for healthcare providers to further reduce HAI rates. district hospitals, clinical outcomes, multilevel regression, Kenya, health system evaluation Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.