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Record W4413271062 · doi:10.2196/73815

Group Cognitive Behavioral Therapy With Virtual Reality Exposure Versus In-Vivo Exposure for Social Anxiety Disorder and Agoraphobia: Underpowered Results From the SoREAL Pragmatic Randomized Clinical Trial

2025· article· en· W4413271062 on OpenAlexvenueno aff
Benjamin Arnfred, Fatime Zeka, Carsten Hjorthøj, Clas Winding Christensen, Kirsten Stengaard Moeller, Nicole Rosenberg, Louise Birkedal Glenthøj, Merete Nordentoft

Bibliographic record

VenueJMIR Mental Health · 2025
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsnot available
FundersNovo Nordisk FondenTrygFondenNovo Nordisk
KeywordsAgoraphobiaExposure therapyClinical psychologyPsychologyCognitive behavioral therapyRandomized controlled trialSocial anxietyPreprintAnxietyPsychotherapistCognitionPanic disorderMedicinePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Background: Social anxiety disorder (SAD) and agoraphobia are common, impairing conditions often treated with cognitive behavioral therapy (CBT) conducted in groups. In CBT, exposure therapy is a core element. However, in-vivo exposure therapy is logistically challenging and aversive for both patient and therapist, especially in a group context, often leading to exposure being skipped altogether in clinical practice. Virtual reality exposure (VRE), in which phobic stimuli are presented through immersive virtual reality technology, has shown promise as a flexible alternative to in-vivo exposure. We thus hypothesized that using VRE would result in more overall exposure and more individualized exposure, resulting in statistically significant symptom reduction compared with a group using in-vivo exposure. Objective: This trial evaluated the efficacy of group CBT with VRE (VR-CBT) versus CBT with in-vivo exposure for treating SAD and agoraphobia in clinical settings. Methods: In this randomized, parallel-group, assessor-blinded trial, 177 participants with SAD (n=150) or agoraphobia (n=27) as a primary diagnosis were assigned to either VR-CBT (n=81) or traditional CBT (n=96) across 5 Danish mental health outpatient clinics. Both groups received 14 weekly group sessions. The difference between the 2 treatments was that the VR-CBT group received exposure therapy via head-mounted displays (HMDs) displaying 360° videos of anxiogenic situations for individuals with SAD (eg, presenting at work) and agoraphobia (eg, faulty elevator), while the CBT group conducted traditional in-vivo exposure exercises (eg, presenting to the group, using the clinic elevator). Primary outcomes were phobic anxiety reductions, measured by the Liebowitz Social Anxiety Scale and the Mobility Inventory for Agoraphobia at baseline, posttreatment, and 1-year follow-up (from baseline). Secondary outcomes included work and social functioning, depressive symptoms, and quality of life. Results: Both groups showed significant reductions in primary, secondary, and exploratory outcomes, with no significant differences between groups at posttreatment (d=-0.026) and 1-year follow-up (d=0.097). Baseline characteristics and attrition rates were balanced across the groups. Conclusions: Due to insufficient recruitment and substantial missing data, no definitive conclusions can be drawn regarding group differences between VR-CBT and traditional CBT in group settings. The feasibility issues encountered suggest that careful consideration of the benefits and limitations of VR technology is essential before implementation in clinical practice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.015
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.083
GPT teacher head0.457
Teacher spread0.374 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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