Methodological Evaluation of Emergency Care Units in Ethiopia: A Multilevel Regression Analysis of Clinical Outcomes Over Time
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| Autores principales: | , , , |
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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Zenodo
2001
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| _version_ | 1866901308022194176 |
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| author | Berhane, Habtamu Zenebe, Mekuria Tessema, Aberra Tesfaye, Debo |
| author_facet | Berhane, Habtamu Zenebe, Mekuria Tessema, Aberra Tesfaye, Debo |
| contents | <p>Emergency care units (ECUs) play a crucial role in managing acute health conditions across Ethiopia but their effectiveness varies significantly over time and across different regions. A longitudinal study design was employed to analyse data from multiple ECU sites. Multilevel mixed-effects models were used to account for hierarchical structures within and between regions. The multilevel regression analysis revealed that the proportion of patients with improved clinical status over time varied by region, suggesting regional-specific factors impact patient outcomes. The study highlights the importance of considering regional variations in ECU performance to optimise emergency care delivery. Health policymakers should tailor interventions based on findings from this analysis to enhance clinical outcomes and improve resource allocation. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18728035 |
| institution | Zenodo |
| language | eng |
| publishDate | 2001 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Emergency Care Units in Ethiopia: A Multilevel Regression Analysis of Clinical Outcomes Over Time Berhane, Habtamu Zenebe, Mekuria Tessema, Aberra Tesfaye, Debo Ethiopia Multilevel Analysis Longitudinal Studies Regression Public Health Systems Geographic Variation Clinical Outcomes <p>Emergency care units (ECUs) play a crucial role in managing acute health conditions across Ethiopia but their effectiveness varies significantly over time and across different regions. A longitudinal study design was employed to analyse data from multiple ECU sites. Multilevel mixed-effects models were used to account for hierarchical structures within and between regions. The multilevel regression analysis revealed that the proportion of patients with improved clinical status over time varied by region, suggesting regional-specific factors impact patient outcomes. The study highlights the importance of considering regional variations in ECU performance to optimise emergency care delivery. Health policymakers should tailor interventions based on findings from this analysis to enhance clinical outcomes and improve resource allocation. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.</p> |
| title | Methodological Evaluation of Emergency Care Units in Ethiopia: A Multilevel Regression Analysis of Clinical Outcomes Over Time |
| topic | Ethiopia Multilevel Analysis Longitudinal Studies Regression Public Health Systems Geographic Variation Clinical Outcomes |
| url | https://doi.org/10.5281/zenodo.18728035 |