Improving Early Identification and Early Intervention for CAF Mental Health Needs: Evidence on Measurement-Based Care (MBC) Uptake and the Role of Digital Support Tools and Agentic AI Support Tools

This funding opportunity seeks submissions that will generate practical evidence for CFHS on:

• Barriers and enablers to early help-seeking and early intervention uptake for CAF-related mental health needs (member and clinician perspectives).
• Barriers and enablers to implement and sustain MBC in routine care (workflow, burden, training, trust, and perceived value).
• Safety, ethical, and privacy considerations for digital and agentic AI interventions used to support early intervention and MBC (including risk mitigation approaches).
• Implementation guidance and recommendations to inform future policy, practice, and R&D scoping.