Panel data analysis examines adoption rates in community health centres, suggesting implications for policy development.
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 logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Mwangi Mutua (2005) studied this question.
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