CompletedNot Applicable

Using Responsible Artificial Intelligence (AI) to Predict Online Therapy Outcome and Engagement

Switzerland6,671 participantsStarted 2023-03-01

Plain-language summary

This study is to develop AI-based models for the personalised prediction of treatment engagement and treatment outcomes in patients engaging in digital psychotherapy. A large, real-world dataset of patients in a digital psychotherapy program will be used to train AI algorithms. Responsible AI algorithms will be developed by describing, accounting for, and mitigating bias due to severity of mental disturbances in AI-based models, in addition to considering bias due to other sensitive attributes, such as gender, ethnicity, and socio-demographic status.

Who can participate

Age range18 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * Participants that were screened as eligible to take part in a Wellbeing Course trial offered at the Online Therapy Unit between Nov 4 2013 and Dec 21 2021. * Participants that consented to the use of their data to evaluate and improve iCBT services. * Accessed Lesson 1 of the course content and completed baseline questionnaires. Exclusion Criteria: * Data will only be excluded in case of errors in data collection

What they're measuring

Change in Patient Health Questionnaire 9-item (PHQ9) (percent change)

Timeframe: week 1 until week 8

Change in General Anxiety Disorder-7 Questionnaire (GAD7) (percent change)

Timeframe: week 1 until week 8

Trial details

NCT IDNCT05758285

SponsorUniversity Hospital, Basel, Switzerland

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2024-12-06

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