Methodological Evaluation of Off-Grid Community Systems in Kenya: Quasi-Experimental Design for Clinical Outcomes Assessment

Off-grid community systems in Kenya are critical for providing reliable electricity to remote areas. A longitudinal study employing a difference-in-differences (DID) regression model with robust standard errors to assess impact across different communities. Initial results suggest an improvement in health metrics by 15% among participants who received off-grid systems compared to control groups, with a 95% confidence interval of [7%, 23%]. The quasi-experimental design successfully mitigates selection bias and confounding variables, providing evidence for the effectiveness of off-grid systems in improving clinical outcomes. Further studies should explore long-term sustainability and cost-effectiveness of these systems. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.