Multilevel Regression Analysis for Evaluating Clinical Outcomes in Rural Clinics Systems of Uganda: A Methodological Study
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| Autores principales: | , , , |
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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Zenodo
2011
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| _version_ | 1866901994651779072 |
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| author | Okwaraji, Kaweesi Namukonya, Kabaka Muhanga, Lutungi Nketasika, Sempa |
| author_facet | Okwaraji, Kaweesi Namukonya, Kabaka Muhanga, Lutungi Nketasika, Sempa |
| contents | <p>Rural clinics in Uganda face significant challenges in providing consistent quality care due to resource limitations and geographical isolation. A multilevel regression analysis was conducted using data from two years of clinic records. The model accounts for both within-clinic variability (patient level) and clinic differences (clinic level). The multilevel regression revealed that the presence of a dedicated medical officer significantly improved patient recovery times by an average of 15%. Multilevel regression analysis provides robust evidence for understanding the impact of clinic-level interventions on clinical outcomes in rural Uganda. Clinics should prioritise hiring additional medical officers to improve care delivery and reduce recovery time disparities. 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_18917531 |
| institution | Zenodo |
| language | eng |
| publishDate | 2011 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Multilevel Regression Analysis for Evaluating Clinical Outcomes in Rural Clinics Systems of Uganda: A Methodological Study Okwaraji, Kaweesi Namukonya, Kabaka Muhanga, Lutungi Nketasika, Sempa Multilevel Modelling Rural Health Systems Geographic Variation Hierarchical Analysis Outcome Measurement Quantitative Research Methodological Evaluation <p>Rural clinics in Uganda face significant challenges in providing consistent quality care due to resource limitations and geographical isolation. A multilevel regression analysis was conducted using data from two years of clinic records. The model accounts for both within-clinic variability (patient level) and clinic differences (clinic level). The multilevel regression revealed that the presence of a dedicated medical officer significantly improved patient recovery times by an average of 15%. Multilevel regression analysis provides robust evidence for understanding the impact of clinic-level interventions on clinical outcomes in rural Uganda. Clinics should prioritise hiring additional medical officers to improve care delivery and reduce recovery time disparities. 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 | Multilevel Regression Analysis for Evaluating Clinical Outcomes in Rural Clinics Systems of Uganda: A Methodological Study |
| topic | Multilevel Modelling Rural Health Systems Geographic Variation Hierarchical Analysis Outcome Measurement Quantitative Research Methodological Evaluation |
| url | https://doi.org/10.5281/zenodo.18917531 |