This study examines rural clinics in Kenya to evaluate their clinical outcomes over a period of one year. A mixed-method approach was employed, integrating quantitative panel-data estimation techniques to analyse clinical outcomes. The study utilised a generalized linear model (GLM) for the statistical analyses, incorporating robust standard errors to account for potential heteroscedasticity. Panel-data regression analysis revealed that clinics operating under a decentralized funding mechanism had significantly higher patient compliance rates compared to those with centralized funding (= -0. 65, p < 0. 01). The study concludes that a balanced decentralization strategy is crucial for improving clinical outcomes in rural Kenya's health clinics. Policy recommendations include reallocating resources to decentralized clinics and enhancing community engagement initiatives. Rural Clinics, Panel Data Analysis, Clinical Outcomes, Decentralized Funding, Robust Standard Errors
Odhiambo Wambui (Sun,) studied this question.