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Using an Online Psychotherapy Program and AI-assisted Interventions for Postsecondary Student Mental Health

NCT05754723 · Status: WITHDRAWN · Phase: NA · Type: INTERVENTIONAL

Last updated 2024-04-10

No results posted yet for this study

Summary

The prevalence of mental health challenges and disorders in post-secondary students, demands accessible and efficacious care. Online psychotherapy and psychoeducation programs have shown significant effectiveness in mitigating the risk and clinical symptoms of various mental health disorders. Additionally, artificial intelligence (AI) has become an accessible, effective, and scalable tool supporting the delivery of healthcare. Therefore, the primary objective of this study is to develop an AI-driven online mental health care hub in the Kingston, Frontenac, Lennox \& Addington region for post-secondary students. . This hub will deliver equitable, efficacious, and cost-effective online psychoeducation and psychotherapy in the form of online diagnosis-specific cognitive behavioural therapy (e-CBT). The hub's virtual design aims to adequately address existing gaps in the mental healthcare of these individuals and alleviate the burden placed on mental health services in Canada. Using a rigorous implementation framework, the development of this hub is designed as a multiphase study with three phases. (1) Pre-adoption phase: will assess post-secondary students' current mental health landscape through surveys and focus groups. This information will be used in the development of our online psychoeducation and diagnosis-specific e-CBT programs. (2) Delivery phase: will determine the efficacy and cost-effectiveness of the online psychoeducation and diagnosis-specific e-CBT programs by comparing them to treatment as usual. (3) Post-adoption phase: the collected data from these programs will be analyzed and shared with key stakeholders to guide continuous program scaling and improvement.

Conditions

  • Mental Health Issue

Interventions

BEHAVIORAL

e-Psychotherapy/Psychoeducation

Participants will receive six weekly self-guided psychoeducation sessions. Then, after 6 weeks participants will complete monthly clinical questionnaires for 6 months. Also, participants will begin bi-weekly journaling exercises for 6 months. Based on the journaling entries, if the AI algorithm detects MDD, GAD, SAD or ADHD that requires treatment will make a referral to the diagnosis-specific e-CBT (MDD, GAD, SAD or ADHD). If after 6 months, no referral decision is made by the AI algorithm no extra follow-up will be provided. Once the AI makes a referral recommendation, participants will be placed in a diagnosis-specific e-CBT program specific to the diagnosis determined by the AI algorithm (MDD, GAD, SAD, or ADHD). The asynchronous e-CBT programs will consist of 12 weekly modules and homework. Weekly homework is reviewed by a therapist, who will provide personalized feedback based on the participant's preferred method (i.e., text, video, or audio).

Sponsors & Collaborators

  • Dr. Nazanin Alavi

    lead OTHER

Principal Investigators

  • Nazanin Alavi, MD · Queen's University

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-05-05
Primary Completion
2022-09-01
Completion
2023-04-06

Countries

  • Canada

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05754723 on ClinicalTrials.gov