Adoption Rates and Implementation Outcomes of Universal Health Coverage Policies in Central African Republic: A Socioeconomic Analysis

Universal Health Coverage (UHC) policies aim to ensure that all individuals have access to essential healthcare services without suffering financial hardship. In Central African Republic (CAR), UHC has been implemented with varying degrees of success. Data were collected through a mixed-methods approach including quantitative surveys (n=500) and qualitative interviews (n=30). Socioeconomic indicators such as income levels and education access were analysed using logistic regression models to predict UHC policy adoption rates. The survey revealed that 64% of surveyed individuals reported awareness about UHC policies, with significant variation observed in rural versus urban areas. Logistic regression analysis suggested that higher income was a strong predictor of UHC policy adoption (OR = 1.35, CI: [1.08-1.72], p < 0.05). This study highlights the importance of socioeconomic factors in UHC policy implementation, particularly income levels as a significant determinant. Policy makers should prioritise interventions aimed at increasing awareness and improving access to healthcare services among low-income populations in CAR. Universal Health Coverage, Central African Republic, Socioeconomic Factors, Logistic Regression