This study evaluates regional monitoring networks in Kenya to assess their effectiveness in measuring clinical outcomes within agricultural settings. A systematic review and meta-analysis approach will be utilised to synthesize existing literature on regional monitoring systems in Kenya. Panel-data analysis will be applied using robust standard errors to account for potential heterogeneity and temporal dependencies among the regions. The panel-data estimation revealed a significant positive correlation (p < 0.05) between the frequency of network updates and improved crop yields, suggesting that more frequent monitoring leads to better agricultural practices and outcomes. This study provides evidence on the efficacy of regional monitoring networks in enhancing clinical outcomes in Kenya's agricultural sector through panel-data analysis. Based on the findings, policymakers are encouraged to enhance network updates and resource allocation for continued improvement in monitoring systems across Kenya. Meta-analysis, Panel data, Monitoring Networks, Clinical Outcomes, Agricultural Policy The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.