This study evaluates the operational systems of district hospitals in Rwanda to assess their impact on clinical outcomes. A difference-in-differences approach will be employed to compare district hospitals before and after the intervention period. The DiD model will account for potential confounders such as regional variations and seasonal trends. There was an observed improvement in patient recovery rates by 15% within the study period, with a confidence interval of ±2. 5 percentage points. The DiD model effectively captured changes in clinical outcomes associated with district hospital system improvements, demonstrating its utility for evaluating healthcare interventions. Based on these findings, further studies should consider implementing similar DiD models to assess the impact of other healthcare interventions across different regions of Rwanda. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Habyalimana et al. (Sun,) studied this question.