Type 1 diabetes is a chronic condition affecting children and adults in sub-Saharan Africa, including Mali. Effective management requires continuous monitoring and adherence to a strict meal plan and insulin regimen. A mixed-methods approach combining quantitative data from app usage logs (n=200) and qualitative interviews with participants (n=30). App performance was evaluated using a logistic regression model for predictive analysis of adherence to meal plans and insulin administration. Users showed an average engagement rate of 95% in the mobile health management system, with significant improvement in self-reported diabetes control scores compared to baseline data (p < 0.001). The mobile health management system significantly improved adherence and glycemic control among Type 1 diabetes patients in urban Mali. Further studies should explore the scalability of this intervention across other sub-Saharan African cities with similar healthcare contexts.