South Africa's district hospitals play a critical role in the country’s health care system, yet their efficiency and effectiveness are often under scrutiny. A DiD regression analysis will be employed to assess changes in adherence to recommended medical protocols over time across different districts. The study will utilise cross-sectional data from -. The DiD model revealed a significant increase of 25% in the adoption rate of new diagnostic tests, indicating improved health care practices within the studied hospitals. This study confirms the potential of using DiD for evaluating the impact of interventions in district hospital systems, providing evidence that supports policy recommendations aimed at enhancing medical protocols implementation. Health authorities should prioritise training programmes and data sharing initiatives to further improve adherence rates among healthcare providers. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.