Study Stopped
Funding was not obtained
Using an Online Psychotherapy Program and AI-assisted Interventions for Postsecondary Student Mental Health
Developing, Administering, and Evaluating Online Psychotherapy and Psychoeducation Programs for Postsecondary Students Within a Regional Mental Health Hub in Ontario, Canada Using AI-assisted Online Interventions
1 other identifier
interventional
N/A
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
Started May 2022
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 5, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2022
CompletedFirst Submitted
Initial submission to the registry
February 22, 2023
CompletedFirst Posted
Study publicly available on registry
March 6, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
April 6, 2023
CompletedApril 10, 2024
April 1, 2024
4 months
February 22, 2023
April 8, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (8)
Change in anxiety severity (GAD-7)
Generalized anxiety disorder - 7 item (GAD-7) questionnaire. Increase in score dictates increase in severity. Scale of 0-3
weeks 0, 3, 6, follow-up 1, 2, 3, 4, 5, 6 months
Change in depression severity (PHQ-9)
Patient Health Questionnaire - 9 item (PHQ-9). Increase in score dictates increase in severity. Scale of 0-3 on each question.
weeks 0, 3, 6, follow-up 1, 2, 3, 4, 5, 6 months
Change in depression severity (QIDS)
Quick Inventory of Depressive Symptomatology (QIDS). Increase in score dictates increase in severity. Scale of 0-3 on each question
weeks 0, 3, 6, follow-up 1, 2, 3, 4, 5, 6 months
Change in stress severity (DASS-42)
Depression Anxiety Stress Scale-42 (DASS-42). Increase in score dictates increase in severity. Scale of 0-3 on each question.
weeks 0, 3, 6, follow-up 1, 2, 3, 4, 5, 6 months
Change in quality of life (AQoL-8D)
Assessment of Quality of Life-8D (AQoL-8D). Increase in score dictates increase in quality of life (improvement). Scale of 0-5 on each question.
weeks 0, 3, 6, follow-up 1, 2, 3, 4, 5, 6 months
Change in resilience (RS-14)
Resilience Scale-14 (RS-14). Increase in score dictates increase in resilience (improvement). Scale of 0-7 on each question
weeks 0, 3, 6, follow-up 1, 2, 3, 4, 5, 6 months
Change in social anxiety severity (LSAS)
Liebowitz Social Anxiety Scale (LSAS). Increase in score dictates increase in anxiety severity. Scale of 0-3 on each question.
weeks 0, 3, 6, follow-up 1, 2, 3, 4, 5, 6 months
Change in ADHD severity (ASRS)
Adult ADHD Self-Report Scale (ASRS). Increase in score dictates increase in ADHD symptom severity. Scale of 0-5 on each question.
weeks 0, 3, 6, follow-up 1, 2, 3, 4, 5, 6 months
Study Arms (2)
e-Psychotherapy
EXPERIMENTALParticipants in the treatment group will receive access to the hub's services which begin with six weeks of online psychoeducation. Participants will be recruited through on-campus flyers, advertisements and wellness-center announcements, media advertisements, expert end-user referrals, and self-referrals. Participants will be excluded if they have active psychosis, acute mania, and/or active suicidal or homicidal ideation, and have received psychoeducation or psychotherapy like that offered by our proposed hub in the past six months. Participants with high disorder severity will be referred to other community resources determined by clinicians and therapists on the research team.
Treatment as Usual
NO INTERVENTIONTAU will consist of medications, regular physician or clinician visits, referrals or consultations that are conducted outside of the current research study.
Interventions
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).
Eligibility Criteria
You may qualify if:
- post-secondary students enrolled in institutions of interest
- the ability to provide informed consent
- the ability to speak and read English
- consistent and reliable access to the internet
You may not qualify if:
- \- N/A
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Queen's University, Hotel Dieu Hospital
Kingston, Ontario, K7L 3N6, Canada
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Nazanin Alavi, MD
Queen's University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
February 22, 2023
First Posted
March 6, 2023
Study Start
May 5, 2022
Primary Completion
September 1, 2022
Study Completion
April 6, 2023
Last Updated
April 10, 2024
Record last verified: 2024-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- Post-study
- Access Criteria
- Available upon request to researchers
Data will be shared upon request