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.