In Tanzania, district hospitals play a crucial role in healthcare delivery. However, their performance varies significantly, necessitating systematic evaluation. A mixed-method approach was employed to assess the implementation of a novel ultrasound machine across 10 randomly selected district hospitals. Data were collected through pre- and post-intervention surveys, and quantitative analysis used logistic regression models with robust standard errors to estimate adoption rates. The quasi-experimental design revealed an adoption rate of approximately 75% for the new diagnostic tool among participating districts, indicating a significant improvement in healthcare practices. This study demonstrates the effectiveness of using quasi-experimental designs to measure adoption rates in district hospital systems and highlights the need for further research to ensure consistent implementation. District health authorities should prioritise training programmes and continuous support for healthcare providers to maximise the benefits of new technologies. Quasi-Experimental Design, Adoption Rates, District Hospitals, Tanzania Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.