African Endocrine Surgery | 28 November 2006
Multilevel Regression Analysis to Evaluate and Enhance Community Health Centre Systems in South Africa: A Yield Improvement Study
S, i, p, h, o, M, a, k, h, u, n, g, a, ,, N, o, m, s, a, M, n, g, q, i, b, i, s, o, ,, P, a, m, e, l, a, G, c, o, b, o
Abstract
Community health centres in South Africa face challenges in delivering consistent healthcare services, leading to inefficiencies and suboptimal patient outcomes. A multilevel regression model was employed to analyse data from South African community health centres, accounting for both individual-level (e.g., patient demographics) and organisational-level factors (e.g., staffing levels). The multilevel analysis revealed significant improvements in service delivery efficiency when adjusting for contextual variables. Multilevel regression analysis is a robust method to assess yield improvement in community health centre systems, facilitating targeted interventions and policy recommendations. Implementing data-driven strategies based on the findings can enhance operational effectiveness and patient care outcomes. Community Health Centres, Multilevel Regression Analysis, Yield Improvement, South Africa Treatment effect was estimated with $\text{logit}(p<em>i)=\beta</em>0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.