Evaluation of Clinical Outcomes Using Multilevel Regression Analysis in Rwanda’s District Hospitals, suggesting targeted resource investments.
This study aims to evaluate clinical outcomes in Rwanda's district hospitals by applying multilevel regression analysis. A multilevel regression model was utilised, incorporating both hospital-level and individual-level data. The model accounts for clustering effects inherent in hierarchical datasets typical of health systems. Multilevel regression analysis revealed a significant effect of district level funding on patient recovery rates (OR = 1.23, p < 0.05). The multilevel model provided insights into the complex interplay between hospital resources and clinical outcomes. Policy recommendations include targeted investments in lower-resource districts to improve patient recovery rates. Rwanda, district hospitals, clinical outcomes, multilevel regression analysis
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Mukabe et al. (2007) studied this question.
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