Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: May 10, 2024
Date Accepted: Dec 21, 2024

The final, peer-reviewed published version of this preprint can be found here:

Generative AI–Enabled Therapy Support Tool for Improved Clinical Outcomes and Patient Engagement in Group Therapy: Real-World Observational Study

Habicht J, Dina LM, McFadyen J, Stylianou M, Harper R, Hauser TU, Rollwage M

Generative AI–Enabled Therapy Support Tool for Improved Clinical Outcomes and Patient Engagement in Group Therapy: Real-World Observational Study

J Med Internet Res 2025;27:e60435

DOI: 10.2196/60435

PMID: 40063074

PMCID: 11933774

Generative AI-Enabled Therapy Support Tool Improves Clinical Outcomes and Patient Engagement in NHS Group Therapy: A Real-World Observational Study

  • Johanna Habicht; 
  • Larisa-Maria Dina; 
  • Jessica McFadyen; 
  • Mona Stylianou; 
  • Ross Harper; 
  • Tobias U. Hauser; 
  • Max Rollwage

ABSTRACT

Background:

Cognitive behavioural therapy (CBT) is a highly effective treatment for depression and anxiety disorders. Nonetheless, a substantial proportion of patients do not respond to treatment. The lack of engagement with therapeutic materials and exercises between sessions - a necessary component of CBT - is a key determinant of unsuccessful treatment.

Objective:

The objective of this study was to test whether the deployment of a generative artificial intelligence (AI) enabled therapy support tool supporting patients in between sessions leads to improved treatment success and patient engagement with treatment.

Methods:

We conducted a real-world observational study of 244 patients receiving group-based CBT in five of the UK’s National Health Service (NHS) Talking Therapies services, comparing 150 patients who opted to use the AI-enabled therapy support tool to 94 patients who opted to use standard delivery of CBT exercises.

Results:

Patients using the AI-enabled therapy support tool exhibited greater attendance at therapy sessions and fewer dropouts from treatment. Furthermore, these patients demonstrated higher reliable improvement, recovery and reliable recovery rates when compared to the control group, which was related to the degree of usage of the AI-enabled therapy support tool.

Conclusions:

Our results thus show that an AI-enabled, personalised therapy support tool is a promising avenue to improve treatment outcomes and patient adherence.


 Citation

Please cite as:

Habicht J, Dina LM, McFadyen J, Stylianou M, Harper R, Hauser TU, Rollwage M

Generative AI–Enabled Therapy Support Tool for Improved Clinical Outcomes and Patient Engagement in Group Therapy: Real-World Observational Study

J Med Internet Res 2025;27:e60435

DOI: 10.2196/60435

PMID: 40063074

PMCID: 11933774

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.