Public health surveillance systems in Kenya play a crucial role in monitoring disease prevalence and guiding public health interventions. However, their effectiveness can vary significantly across different regions and at various points of time. A randomized field trial was conducted among four regions, with each region randomly assigned to either an intervention group or a control group. The intervention focused on enhancing data collection and analysis methods compared to existing practices. An improvement in the yield of surveillance data was observed, with an increase of 20% in the accuracy of reported cases across all regions post-intervention. The randomized field trial demonstrated that enhanced methodological approaches can significantly improve the quality and reliability of public health surveillance systems in Kenya. Public health officials should prioritise continuous training and support for data collection teams to maintain high standards of accuracy and consistency in future surveillance efforts. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.