Methodological Assessment of District Hospitals Systems in Ethiopia: A Multilevel Regression Analysis

District hospitals in Ethiopia are critical for healthcare delivery, but their performance varies significantly. A multilevel regression model was employed to analyse data from Ethiopian district hospitals. The model accounts for both hospital-level and district-level effects, ensuring robust results. The multilevel analysis revealed that the proportion of patients receiving appropriate treatment varied between districts (e.g., District A had a 15% higher success rate than District B in treating acute respiratory infections). This study underscores the need for targeted interventions to enhance healthcare delivery across Ethiopia's district hospitals. Policy makers are encouraged to implement evidence-based strategies aimed at improving treatment outcomes, particularly focusing on infectious diseases like pneumonia and diarrhea. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.