Digital Support for Mental Health Intervention in Patients With Inflammatory Bowel Disease
- Conditions
- AnxietyDepressionUlcerative ColitisCrohn DiseaseInflammatory Bowel Diseases
- Interventions
- Behavioral: Mental health support session
- Registration Number
- NCT06575660
- Lead Sponsor
- University of Chicago
- Brief Summary
This is a small, exploratory study that will investigate using an artificial intelligence (AI) and virtual reality (VR), digital wellness application (app) to deliver a mental health support session in outpatient and hospitalized patients with inflammatory bowel disease (IBD) and co-existing symptoms of mild to moderate anxiety or depression.
The purpose of this study is to explore if a mental health support session using the app is feasible, safe, and acceptable to IBD patients and whether it could possibly help with physical and comorbid psychological symptoms of these patients.
- Detailed Description
The mental health support session is delivered by a virtual reality digital wellness application (app). The app is a Chat GPT-4 powered AI and VR platform called XAIA (eXtended reality Artificially Intelligent Ally). \[Chat GPT is an AI program that generates dialogue.\] The app is publicly available on the Apple Vision Pro (a VR tool). It was developed by a group of providers, including a psychiatrist, at Cedars-Sinai Medical Center to devise a scalable solution for the increasing demand for mental wellness experiences. The application uses the combination of an AI-powered virtual avatar, named "XAIA," and a VR environment to deliver immersive and personalized mental health support in mixed-reality environments.
This is a mixed method study with primarily a qualitative focus. Patients with IBD who self-report mild to moderate levels of anxiety or depression will be invited to try a single AI-VR mental health support session using the XAIA app. Participant observations, experiences, and opinions of the application will be collected through surveys and semi-structured interviews. Pre- and post- session pain and state anxiety scores will be collected.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 28
- 18+ years of age
- Patients with Inflammatory Bowel Disease (Crohn's Disease or Ulcerative Colitis)
- English-speaking
- Patients with score of 5-14 on General Anxiety Disorder-7 (GAD-7) questionnaire or 5-19 on Patient Health Questionnaire-9 (PHQ-9) within 3 months
- Able to provide written consent
- Unwilling and/or unable to participate
- Non-English speakers
- Self-reported history of severe motion sickness
- The presence of a facial/head deformity that will prohibit comfortably wearing of a VR headset
- Legally blind or deaf
- Having had a seizure in the past year
- Unable to understand the instructions or to consent to participation in the study.
- Those who are pregnant
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Patients with IBD who self-report mild to moderate levels of anxiety or depression Mental health support session -
- Primary Outcome Measures
Name Time Method Determine the safety of utilizing a GPT-4-powered AI-VR mental health support session in patients with IBD Day 1 post-session Measured by proportion of subjects with at least one adverse event
Determine the patient acceptance of utilizing a GPT-4-powered AI-VR mental health support session in patients with IBD Day 1 post-session Measured via Session Rating Scale (SRS V.3.0), which is a visual analogue scale that measures self-reported effective therapeutic relationships. Scores range from 0 to 40, with higher scores indicating more effective relationships. Scores are commonly classified as "any score lower than 36 overall, or 9 on any \[of the 4\] scale\[s\], could be a source of concern..."
Determine the feasibility of utilizing a GPT-4-powered AI-VR mental health support session in patients with IBD Day 1 post-session Measured via a post-session, semi-structured interview
- Secondary Outcome Measures
Name Time Method To characterize any limitations for creating a AI-VR mental health support tool optimally aligned with the needs of patients with IBD Day 1 post-session Measured via a post-session, semi-structured interview
To assess change in pain scores pre- and post-session Day 1 pre-session; Day 1 post-session Measured via Visual Analogue Pain Scale, which is a scale that measures self-reported pain intensity. Scores range from 0-10, with higher scores indicating greater pain intensity. Scores are commonly classified as "no pain" (0), "mild pain" (1-3), "moderate to severe pain" (4-6), "very severe pain" (7-9), "worst possible pain" (10).
To assess change in mood scores pre- and post-session Day 1 pre-session; Day 1 post-session Spielberger State-Trait Anxiety Inventory (STAI), which is a tool that measures self-reported anxiety. Scores range from 0-40, with higher scores indicating greater anxiety. STAI scores are commonly classified as "no or low anxiety" (20-37), "moderate anxiety" (38-44), and "high anxiety" (45-80).
To characterize any potential future improvements for creating a AI-VR mental health support tool optimally aligned with the needs of patients with IBD Day 1 post-session Measured via a post-session, semi-structured interview
Trial Locations
- Locations (1)
University of Chicago
🇺🇸Chicago, Illinois, United States