The adoption of best practices in district hospitals in Ghana is crucial for improving healthcare outcomes. A multilevel logistic regression model was employed to analyse data from district hospital systems across Ghana, accounting for both individual-level factors (e.g., staff training) and system-level factors (e.g., funding). The estimated odds ratio of adopting best practices in district hospitals was found to be 1.57 (95% CI: 1.23-1.98), indicating a significant positive association. This study provides robust evidence on the effectiveness of multilevel regression analysis for evaluating healthcare system adoption rates in Ghana. Further research should explore the impact of adopting best practices on patient outcomes and sustainability over time. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.