MedElevator Войти в исследования
← Поиск публикаций

DOI 10.3390/jcm14051771

Медицинская библиотека · Journal of clinical medicine · 2025

Digital Cognitive Behavioral Therapy for Panic Disorder and Agoraphobia: A Meta-Analytic Review of Clinical Components to Maximize Efficacy.

Jung Han Wool, Jang Ki Won, Nam Sangkyu, Kim Areum, Lee Junghoon, Ahn Moo Eob, Lee Sang-Kyu, Kim Yeo Jin, Shin Jae-Kyoung, Roh Daeyoung

СтатьяОбзорПеревод в очереди

Аннотация

Background

Although digital cognitive behavioral therapy (dCBT) is considered effective for anxiety disorders, there is considerable heterogeneity in its efficacy across studies, and its varied treatment content and clinical components may explain such heterogeneity.

Objective

This review aimed to identify the efficacy of digital cognitive behavioral therapy for panic disorder and agoraphobia, and examine whether applying relevant clinical components of interoceptive exposure, inhibitory-learning-based exposure, and personalization of treatment enhances its efficacy.

Methods

Randomized controlled trials of dCBT for panic disorder and agoraphobia with passive or active controls were identified from OVID Medline, Embase, Cochrane Library, and PsycINFO. The overall effect sizes for dCBT groups (interventions through digital platforms based on the internet, mobile, computers, VR, etc.) were aggregated against passive control (placebo/sham) and active control (traditional CBT) groups. For subgroup analysis, key intervention components such as interoceptive exposure, inhibitory learning, and personalization were assessed dichotomously (0 or 1) along with other study characteristics. The stepwise meta-regression models were applied with traditional and Bayesian statistical testing. The risk of bias and publication bias of included studies were assessed.

Results

Among the 31 selected studies, dCBT had an overall effect size of g = 0.70 against passive control and g = -0.05 against active control. In subgroup analysis, interoceptive exposure improved the clinical effects for both controls, and inhibitory learning and personalization increased the clinical effects for passive control along with therapist guide/support and the length of sessions. Many studies were vulnerable to therapist bias and attrition bias. No publication bias was detected.

Conclusions

The heterogeneity in clinical effects of dCBT for panic and agoraphobia can be explained by the different intervention factors they include. For effective dCBT, therapists should consider the clinical components relevant to the treatment.

Для цитирования: Jung Han Wool, Jang Ki Won, Nam Sangkyu, Kim Areum, Lee Junghoon, Ahn Moo Eob, Lee Sang-Kyu, Kim Yeo Jin, Shin Jae-Kyoung, Roh Daeyoung. Digital Cognitive Behavioral Therapy for Panic Disorder and Agoraphobia: A Meta-Analytic Review of Clinical Components to Maximize Efficacy.. Journal of clinical medicine. 2025. DOI: 10.3390/jcm14051771.
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.