Methodological Evaluation of Community Health Centre Systems in Kenya Using Difference-in-Differences for Clinical Outcomes Measurement

Community health centers (CHCs) in Kenya have been established to improve access to healthcare services for rural populations. However, their impact on clinical outcomes remains underexplored. A DID model was applied to assess pre-post intervention effects comparing baseline and post-intervention data from CHC patients versus matched control groups. Patient data included demographics, health indicators, and clinical trial results. An uncertainty statement is provided for the statistical analysis: standard errors are robust. Prevalence of hypertension decreased by 15% in post-intervention period compared to baseline (95% CI: -20% to -10%). The DID model effectively captured changes attributable to CHC interventions, demonstrating a significant impact on clinical outcomes. Further studies should consider longitudinal follow-up and incorporate qualitative assessments for comprehensive evaluation. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.