Using machine learning to improve digital mental health interventions

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study aims to enhance the effectiveness of digital mental health interventions for anxiety and depression by utilizing machine learning to develop precision treatment rules. Participants, who are Kaiser Permanente members, will be randomly assigned to one of three established digital programs after completing baseline assessments. The goal is to identify which digital intervention is most suitable for each individual, thereby optimizing user engagement and clinical outcomes. This approach seeks to improve the delivery of mental health care at scale within large healthcare systems.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* English-speaking adults
* Ages 18 or older
* Have a device that can connect to the internet.

Where it's running

• Center for Anxiety and Related Disorders
  Boston, Massachusetts, United States Recruiting

Study contacts

• Principal investigator: Todd Farchione, Ph.D. — Boston University Charles River Campus
• Study coordinator: Todd Farchione, Ph.D.
• Email: tfarchio@bu.edu
• Phone: (617) 353-9610

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.