The prevalence of energy-related risks among children in Ghana necessitates robust monitoring systems to mitigate these threats. A mixed-method approach including surveys, interviews, and data triangulation was employed to assess network performance and risk reduction efficacy. The multilevel regression model revealed a significant R² = 0. 75 (95% CI: 0. 68, 0. 82) in explaining energy safety risks across regions. Regional monitoring networks effectively reduce energy-related risks among children but require further refinement for optimal performance. Continued training for network coordinators and expansion of coverage to underserved areas are recommended.
Ampene et al. (2004) studied this question.