District hospitals in Ghana play a crucial role in healthcare delivery, but their operational effectiveness varies widely. Existing studies often lack rigorous methodological frameworks to evaluate these systems comprehensively. The study will employ a fixed effects regression model to analyse changes over time within districts. Panel data from multiple years will be used to account for both hospital-specific and district-level variability. Robust standard errors will ensure reliable inference in our estimates. We expect to observe significant reductions in patient mortality rates (e.g., by 15%) following the implementation of preventive health measures, with these effects being consistent across different districts but varying slightly based on local healthcare infrastructure. This study will provide a robust framework for evaluating district hospital systems and offer insights into effective risk reduction strategies. The findings can inform policy decisions aimed at improving healthcare accessibility and quality in Ghana. Health policymakers should prioritise the implementation of evidence-based interventions that have been shown to reduce health risks, particularly those targeting vulnerable populations such as rural areas. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.