Does the Digital Therapeutic Alliance Exist? Integrative Review

Area of Science:

• Digital Health
• Psychiatry
• Human-Computer Interaction

Background:

• Mental health disorders are a global concern, increasing the demand for accessible digital interventions.
• Artificial intelligence (AI)-powered chatbots offer a scalable solution to bridge gaps in mental healthcare access.
• The concept of a digital therapeutic alliance (DTA) is explored to enhance user outcomes in AI-driven mental health tools.

Purpose of the Study:

• To identify core concepts underpinning the digital therapeutic alliance (DTA) in AI-driven mental health interventions.
• To propose an initial definition of the DTA based on identified conceptual elements.

Main Methods:

• Systematic literature search using PRISMA and integrative review methodology across multiple databases (Medline, Web of Science, PsycNet, Google Scholar).
• Data extraction and analysis based on Horvath et al's therapeutic alliance framework (goal alignment, task agreement, therapeutic bond).
• Quality assessment using the Newcastle-Ottawa Scale and Cochrane Risk of Bias Tool.

Main Results:

• 28 studies were included, informing a conceptual framework for the DTA.
• Key DTA elements identified: goal alignment, task agreement, therapeutic bond, user engagement, and influencing factors.
• Interventions primarily involved AI chatbots, digital psychotherapy, and other digital tools.

Conclusions:

• The DTA framework provides a foundation for understanding how AI tools can replicate therapeutic mechanisms like empathy and trust.
• The DTA shows potential for improving accessibility and engagement in mental healthcare.
• Further research is essential to address personalization, ethical issues, and the long-term impact of DTAs.