A Virtual Reality–Assisted Cognitive Behavioral Therapy for and With Inuit in Québec: Protocol for a Proof-of-Concept Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Emotion regulation is an ability related to psychological well-being; when dysregulated, individuals may have psychiatric symptoms and maladapted physiological responses. Virtual reality-assisted cognitive behavioral therapy (VR-CBT) is an effective psychotherapy to target and strengthen emotion regulation; however, it currently lacks cultural sensitivity and can be improved by adapting it to the cultural context of service users. During previous participatory research, we co-designed a culturally adapted cognitive behavioral therapy (CBT) manual and 2 virtual reality (VR) environments to function as a complement to therapy (VR-CBT) for Inuit who would like to access psychotherapy. Emotion regulation skill building will occur in virtual environments that have interactive components such as heart rate biofeedback. OBJECTIVE: We describe a protocol for a proof-of-concept 2-arm randomized controlled trial (RCT) with Inuit (n=40) in Québec. The primary aims of this research are to investigate the feasibility, benefits, and challenges of the culturally adapted VR-CBT intervention versus an established VR self-management that is available commercially. We will also investigate self-rated mental well-being and objective psychophysiological measures. Finally, we will use proof-of-concept data to identify suitable primary outcome measures, conduct power calculations in a larger trial for efficacy, and collect information about preferences for on-site or at-home treatment. METHODS: Trial participants will be randomly assigned to an active condition or active control condition in a 1:1 ratio. Inuit aged 14 to 60 years will receive a culturally adapted and therapist-guided VR-CBT with biofeedback or a VR relaxation program with nonpersonalized guided components over a 10-week period. We will collect pre- and posttreatment measures of emotion regulation and biweekly assessments over the treatment and at 3-month follow-up. The primary outcome will be measured by the Difficulties in Emotion Regulation Scale (DERS-16) and a novel psychophysiological reactivity paradigm. Secondary measures include psychological symptoms and well-being via rating scales (eg, anxiety or depressive symptoms). RESULTS: As this is the prospective registration of an RCT protocol, we do not yet report any results from the trial. Funding was confirmed in January 2020, and recruitment is expected to start in March 2023 and is set to finish in August 2025. The expected results are to be published in spring 2026. CONCLUSIONS: The proposed study responds to the community's desire for accessible and appropriate resources for psychological well-being, as it was developed in active collaboration with the Inuit community in Québec. We will test feasibility and acceptance by comparing a culturally adapted, on-site psychotherapy with a commercial self-management program while incorporating novel technology and measurement in the area of Indigenous health. We also aim to fulfill the needs for RCT evidence of culturally adapted psychotherapies that are lacking in Canada. TRIAL REGISTRATION: International Standard Randomized Controlled Trial Number (ISRCTN) 21831510; https://www.isrctn.com/ISRCTN21831510. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/40236.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".