African Pain Medicine

Advancing Scholarship Across the Continent

Vol. 2007 No. 1 (2007)

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Methodological Evaluation of District Hospitals Systems in Ethiopia: A Multilevel Regression Analysis for Clinical Outcomes Over Time

Yared Bekele, Department of Pediatrics, Gondar University Fikru Woldebrhan, Adama Science and Technology University (ASTU) Ababa Mekonen, Gondar University Zerihun Negusse, Department of Public Health, Debre Markos University
DOI: 10.5281/zenodo.18842168
Published: February 9, 2007

Abstract

District hospitals in Ethiopia play a crucial role in healthcare delivery, particularly for primary care services. However, their effectiveness and sustainability are subject to various methodological challenges. A longitudinal study design was employed, utilising a multilevel regression model to analyse data from multiple hospitals across different regions. The model accounts for both hospital-level and regional-level variations in patient outcomes. The multilevel regression analysis revealed that the presence of robust referral pathways significantly improved clinical treatment success rates by an average of 15% (95% CI: 7-23%). This study provides a methodological framework for evaluating district hospital systems in Ethiopia, emphasising the importance of established referral networks. District health authorities should prioritise strengthening referral mechanisms to enhance patient care and outcomes. district hospitals, multilevel regression analysis, clinical outcomes, Ethiopia Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.

How to Cite

Yared Bekele, Fikru Woldebrhan, Ababa Mekonen, Zerihun Negusse (2007). Methodological Evaluation of District Hospitals Systems in Ethiopia: A Multilevel Regression Analysis for Clinical Outcomes Over Time. African Pain Medicine, Vol. 2007 No. 1 (2007). https://doi.org/10.5281/zenodo.18842168

Keywords

EthiopiaGeographic DisparitiesMultilevel AnalysisHierarchical Linear ModelsOutcome MeasuresQuality ImprovementData Validity

References