African Journal of Community and Environmental Health | 17 May 2008
Multilevel Regression Analysis to Evaluate and Optimise Community Health Centre Systems in Tanzania: A Methodological Assessment
K, a, m, a, s, i, M, v, i, l, a
Abstract
Community health centres in Tanzania have been established to improve access to healthcare services, yet their effectiveness varies widely across different locations and populations. A multilevel regression model was employed to analyse data collected from multiple levels (individual, family, community) within a hierarchical structure. Robust standard errors were used to account for potential sources of heteroscedasticity in the analysis. The multilevel regression analysis revealed that socio-economic status significantly influenced patient adherence rates at the individual level (β = -0.75, p < 0.05). The study demonstrates the utility of multilevel regression for understanding complex healthcare systems and identifying factors affecting service delivery. Policy recommendations include targeting interventions to improve patient adherence in low-income communities to enhance overall health outcomes. 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.