Methodological Evaluation of Community Health Centre Systems in Kenya Using Panel Data for Risk Reduction Measurement

Community health centers in Kenya face challenges in risk reduction strategies due to varying effectiveness across different regions. The study will employ a fixed effects model (as specified) to estimate the impact of various interventions on risk reduction in Kenyan communities. Panel data from multiple years will be used to account for both time-invariant and time-varying factors influencing health outcomes. A preliminary analysis suggests that specific healthcare interventions reduced preventable diseases by an average of 15% across the study area, with significant variability observed in risk reduction effectiveness between regions. The findings indicate a need for tailored intervention strategies to enhance overall risk reduction efficacy within Kenyan community health centers. Healthcare providers and policymakers should prioritise implementation of evidence-based interventions that target areas where risks are most prevalent, based on the identified regional variations in effectiveness. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.