Comparing Clinical Decision-making of AI Technology to a Multi-professional Care Team in ECBT for Depression

Launched by DR. NAZANIN ALAVI · Dec 5, 2022

Keywords

ClinConnect Summary

This clinical trial is studying how well artificial intelligence (AI) can help decide the best level of care for people with depression compared to a team of healthcare professionals. The goal is to find a cost-effective way to reduce symptoms of depression and encourage more people to start their treatment using electronic cognitive behavioral therapy (e-CBT), which is a helpful online therapy. In this study, 186 participants who have been diagnosed with major depressive disorder will be randomly assigned to receive either support from an AI system or from a multi-professional care team. They will then engage in e-CBT, which can vary in intensity depending on their needs.

To be eligible for the trial, participants must be diagnosed with depression, able to understand and sign consent forms, read and speak English, and have reliable internet access. People currently experiencing severe mood disorders, like active psychosis or acute mania, or those receiving other forms of therapy, are not eligible. Throughout the study, participants will receive tailored e-CBT treatment through a secure online platform, with varying levels of therapist involvement to suit their individual needs. This trial is important because it aims to make mental health care more accessible and efficient for those dealing with depression.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Diagnosed with MDD by a trained research assistant according to the criteria outlined in the DSM-5
• • Ability to provide informed consent
• • Ability to speak and read English
• • Having consistent and reliable access to the internet
• Exclusion Criteria:
• • Active psychosis
• • Acute mania
• • Severe alcohol, or substance use disorder
• • Active suicidal or homicidal ideation
• • Currently receiving psychotherapy

Trial Officials