Multilevel regression analysis evaluates treatment outcomes in district hospitals, suggesting improved healthcare strategies.
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 logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Mekonnen Getachew (2005) studied this question.
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