Community health centres in Kenya play a crucial role in healthcare delivery, particularly in underserved areas. However, understanding their adoption rates and factors influencing them is essential for policy development. Panel data from a sample of 50 community health centres in Kenya were analysed over three years. A fixed effects model was employed to estimate the impact of various factors on adoption rates. The analysis revealed that socio-economic status had a significant positive influence on the adoption rate, with an estimated coefficient of 0.32 (95% CI: [0.18, 0.46]). This study provides robust evidence for policymakers to design interventions aimed at increasing community health centre usage in Kenya. Policymakers should prioritise areas with lower socio-economic status and implement targeted awareness campaigns to enhance adoption rates. community health centres, panel data analysis, fixed effects model, adoption rates Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.