To explore the importance of trust in digital behavioral health systems as a critical factor for their effectiveness and how it differs from engagement.
Approach:
Key Findings:
Trust can fail at multiple layers: social, technical, institutional, and behavioral.
Engagement metrics do not guarantee the authenticity of behavioral data.
Dynamic consent is necessary as systems learn from user behavior over time.
Governance must be transparent and capable of providing forensic-grade traceability.
Interpretation:
Trust in digital behavioral health systems is critical for their effectiveness and must be established before technological features can be effective.
Limitations:
Current systems often lack the capability to produce forensic trails for decision-making.
Trust issues may arise from misinformation and low digital literacy, complicating user interactions.
Conclusion:
Establishing trust is fundamental for the success of digital behavioral health initiatives, necessitating a shift in how consent and governance are approached.
