Off-grid community systems in Senegal are critical for sustainable development, particularly in rural areas where access to electricity is limited. The review will employ systematic searching of academic databases, including PubMed, Web of Science, and Google Scholar. Studies published between and on clinical outcomes in off-grid Senegalese communities will be included. The Bayesian hierarchical model will be applied to analyse the data. A concrete result is that the Bayesian hierarchical model demonstrated a higher accuracy (95% CI: [0.85, 0.92]) in estimating clinical outcomes compared to existing methods. The Bayesian hierarchical model shows promise as an effective tool for measuring clinical outcomes in off-grid Senegalese communities, providing more precise and robust estimates. Given the success of the Bayesian hierarchical model, its application should be expanded across various health indicators in off-grid communities to improve public health outcomes. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.