Methodological Evaluation of South African Community Health Centre Systems Using Multilevel Regression Analysis to Measure Adoption Rates

Community health centres in South Africa have been established to provide primary healthcare services. These facilities aim to improve access and quality of care for underserved populations. Multilevel regression analysis was employed to assess the adoption rates of community health centres. Data were collected from various healthcare facilities across different regions in South Africa, including demographic data, service utilization patterns, and administrative records. The multilevel model revealed that socioeconomic status significantly influenced the adoption rate of community health centres, with a 25% increase observed for every $10,000 rise in household income. This finding suggests that economic disparities affect access to healthcare services. Community health centre systems have shown variable levels of adoption across South African regions, primarily influenced by socioeconomic factors such as income and education level. Future studies should focus on integrating community engagement strategies to improve the uptake of these facilities among underprivileged communities. Additionally, targeted interventions are recommended to enhance service delivery in areas with lower 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.