Mental Disorders Clinical Trial
Official title:
Using Responsible Artificial Intelligence (AI) to Predict Online Therapy Outcome and Engagement
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.
Status | Recruiting |
Enrollment | 7000 |
Est. completion date | February 2025 |
Est. primary completion date | February 2025 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | 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 |
Country | Name | City | State |
---|---|---|---|
Switzerland | University Hospital Basel, Department of Psychosomatic Medicine | Basel |
Lead Sponsor | Collaborator |
---|---|
University Hospital, Basel, Switzerland |
Switzerland,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Number of messages sent by client | Patients' engagement with the digital psychotherapy intervention by assessing the number of patient messages | week 1 until week 8 | |
Other | Number of messages received by client | Patients' engagement with the digital psychotherapy intervention by assessing the number of therapist messages | week 1 until week 8 | |
Other | Number of phone calls to physician notes | Patients' engagement with the digital psychotherapy intervention by assessing the number of phone calls | week 1 until week 8 | |
Other | Number of times client logged in | Patients' engagement with the digital psychotherapy intervention by assessing the number of lessons accessed | week 1 until week 8 | |
Primary | Change in Patient Health Questionnaire 9-item (PHQ9) (percent change) | Change in PHQ9 (percent change) to evaluate symptom improvement vs. no symptom improvement pre- to post-digital psychotherapy intervention. Patient Health Questionnaire (PHQ-9): Total = /27 ; Depression Severity: 0-4 none, 5-9 mild, 10-14 moderate, 15-19 moderately severe, 20-27 severe. | week 1 until week 8 | |
Primary | Change in General Anxiety Disorder-7 Questionnaire (GAD7) (percent change) | Change in General Anxiety Disorder-7 Questionnaire (GAD7) to evaluate symptom improvement vs. no symptom improvement pre- to post-digital psychotherapy intervention. Score 0-4: Minimal Anxiety · Score 5-9: Mild Anxiety · Score 10-14: Moderate Anxiety · Score greater than 15: Severe Anxiety. | week 1 until week 8 |
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