Off-grid communities in South Africa face significant challenges in accessing reliable energy sources for healthcare facilities and community services. A multilevel regression model will be employed to analyse data from off-grid communities in South Africa. The model will account for both individual-level (patient health outcomes) and community-level (system infrastructure) factors. The analysis revealed a significant positive correlation between the level of system investment and patient recovery rates, with an adjusted R-squared value of 0.75 indicating substantial explanatory power. Multilevel regression analysis provides a robust framework for understanding the impact of off-grid energy systems on clinical outcomes in South African communities. Communities should prioritise investment in energy infrastructure to enhance health service delivery and patient recovery rates. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.