Multilevel Regression Analysis for Evaluating Clinical Outcomes in Rural Clinics Systems of Uganda: A Methodological Study

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 logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.