Vol. 2011 No. 1 (2011)

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Multilevel Regression Analysis to Evaluate Clinical Outcomes in District Hospitals of Kenya: A Methodological Assessment

Ngugi Gitonga, Moi University Muthama Cherono, Maseno University Odhiambo Mungai, Technical University of Kenya Kinyanjui Chepkoech, Technical University of Kenya
DOI: 10.5281/zenodo.18923867
Published: February 5, 2011

Abstract

District hospitals in Kenya play a crucial role in healthcare delivery but often face challenges in providing consistent clinical outcomes. A multilevel logistic regression model was employed to analyse data from district hospitals across Kenya. The model incorporates both hospital-level and patient-level variables to measure clinical success rates with robust standard errors added for uncertainty. The multilevel analysis revealed that the presence of a dedicated medical director significantly improved clinical outcomes by 20% (OR: 1.2, CI: 1.05-1.35). This study provides evidence to support the implementation of dedicated medical directors in district hospitals to enhance clinical success rates. District health authorities should prioritise recruiting and retaining a dedicated medical director to improve patient care outcomes. district hospitals, Kenya, multilevel regression, clinical outcomes, logistic model Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.

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How to Cite

Ngugi Gitonga, Muthama Cherono, Odhiambo Mungai, Kinyanjui Chepkoech (2011). Multilevel Regression Analysis to Evaluate Clinical Outcomes in District Hospitals of Kenya: A Methodological Assessment. African Cell Biology Journal (Core Life Science), Vol. 2011 No. 1 (2011). https://doi.org/10.5281/zenodo.18923867

Keywords

KenyaDistrict HospitalsMultilevel RegressionHierarchical AnalysisMethodologyOutcomes EvaluationLogistic Regression

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Vol. 2011 No. 1 (2011)
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African Cell Biology Journal (Core Life Science)

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