Internet-Based Cognitive Behavioral Therapy and Virtual Reality Exposure Therapy for Social Anxiety Disorder: Protocol for a Randomized Controlled Trial in Hong Kong
Notice bibliographique
Résumé
BACKGROUND: Social anxiety disorder (SAD), also known as social phobia, is one of the most common mental disorders worldwide. In Hong Kong, the prevalence of SAD is high, but its treatment rate is low. SAD has immense impact on academic or work performance, social life, career development, and quality of life. One of the most effective treatments for SAD is cognitive behavioral therapy (CBT), with internet-based CBT (iCBT) and virtual reality exposure therapy (VRET) showing promise in treating SAD. However, internet interventions are underdeveloped in Chinese communities including Hong Kong. OBJECTIVE: This study aims to develop an iCBT program that includes VRET, called "Ease Anxiety in Social Event Online" (Ease Online), for Hong Kong adults with SAD in a randomized controlled trial. METHODS: The 14-week Ease Online program is a guided self-help iCBT program with a blended mode of service delivery. The program comprises 9 web-based modules and 5 individual counseling sessions (including 2 VRET sessions) conducted remotely or face-to-face with a therapist to provide therapist support, as guided iCBT shows superior effects than unguided iCBT. Other program components include therapist feedback on assignments, internal messages, forums, client portfolios, web-based questionnaires, reminders, and web-based bookings. The program can be accessed either through a mobile app or program website through a PC with an internet connection. The participants are openly recruited and screened using a questionnaire and through an intake interview. Eligible participants are randomized by placing them into a web-based iCBT group, app-based iCBT group, or a waitlist control (WLC) group. Participants in the WLC group are assigned to the app-based program upon completion of the service of the 2 experimental groups. Measurements of social anxiety, depression and anxiety symptoms, psychological distress, automatic thoughts, and quality of life are administered at pretest, posttest, and 3- and 6-month follow-ups. Multivariate ANOVA with repeated measures will be performed to determine the intervention effectiveness on the continuous variables over time. RESULTS: Participant recruitment commenced in January 2021. As of February 2023, a total of 1811 individuals applied for the Ease Online program. In total, 401 intake interviews have been completed, and 329 eligible participants have joined the program, among whom 166 have completed the service. Data collection is still ongoing, which is expected to be completed in March 2024. CONCLUSIONS: This study is the first of its kind in combining iCBT and VRET for the treatment of SAD in Hong Kong. At a theoretical level, this study contributes to the development and evaluation of internet-based psychological interventions in Hong Kong. At a practical level, the Ease Online program may serve as an alternative service option for SAD clients in Hong Kong if proven effective. TRIAL REGISTRATION: ClinicalTrials.gov NCT04995913; https://clinicaltrials.gov/study/NCT04995913. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/48437.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,018 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,005 | 0,002 |
| Méta-épidémiologie (sens large) | 0,011 | 0,004 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,004 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,065 | 0,007 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».