Vol. 2012 No. 1 (2012)

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Multilevel Regression Analysis to Evaluate Clinical Outcomes in Emergency Care Units Across Tanzania: A Methodological Assessment

Njama Maganga, Ardhi University, Dar es Salaam Muhamed Rangasi, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha Kabiri Mwachiro, Department of Public Health, Ardhi University, Dar es Salaam
DOI: 10.5281/zenodo.18945177
Published: September 17, 2012

Abstract

This research focuses on evaluating clinical outcomes in emergency care units across Tanzania by conducting a methodological assessment. Multilevel regression analysis was employed to assess clinical outcomes in emergency care units across Tanzania. The study utilised data from multiple levels including individual patient records, unit-specific characteristics, and broader healthcare system factors. Findings indicate a significant positive relationship between the level of medical training provided at the unit level and improved patient recovery rates (p < 0.05). The multilevel regression analysis revealed that integrating higher levels of specialized medical care within emergency units significantly enhances clinical outcomes. Recommendation is for healthcare administrators to prioritise investment in training programmes for medical personnel and infrastructure improvements in emergency care units to improve patient recovery rates. 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

Njama Maganga, Muhamed Rangasi, Kabiri Mwachiro (2012). Multilevel Regression Analysis to Evaluate Clinical Outcomes in Emergency Care Units Across Tanzania: A Methodological Assessment. African Immunotherapy, Vol. 2012 No. 1 (2012). https://doi.org/10.5281/zenodo.18945177

Keywords

TanzaniaEmergency CareMultilevel RegressionHierarchical AnalysisMethodologyData QualityClinical Outcomes

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Vol. 2012 No. 1 (2012)
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African Immunotherapy

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