Multilevel Regression Analysis to Evaluate System Reliability in Uganda's District Hospitals Systems,

The reliability of district hospitals in Uganda is a critical issue affecting healthcare delivery, particularly in underserved regions where resources are limited. A multilevel regression model was employed with data from -, incorporating both hospital-level and district-level variables. The model accounts for clustering effects within districts. The multilevel regression analysis revealed that the proportion of patients receiving essential care (≥90%) varied significantly across hospitals, highlighting disparities in service delivery quality. This study underscores the need for targeted interventions to improve system reliability and patient care outcomes in Ugandan district hospitals. Enhanced training programmes for healthcare staff and improved infrastructure investments are recommended to address identified system weaknesses. district hospitals, multilevel regression analysis, system reliability, Uganda Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.