Wilks Chelsey R, Gurtovenko Kyrill, Rebmann Kevin, Williamson James, Lovell Josh, Wasil Akash R
Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Way, St. Louis, MO, USA.
Department of Psychiatry and Behavioral Sciences, University of Washington, Washington, USA.
Borderline Personal Disord Emot Dysregul. 2021 Dec 3;8(1):29. doi: 10.1186/s40479-021-00167-5.
The gap between treatment need and treatment availability is particularly wide for individuals seeking Dialectical Behavior Therapy (DBT), and mobile apps based on DBT may be useful in increasing access to care and augmenting in-person DBT. This review examines DBT based apps, with a specific focus on content quality and usability.
All apps referring to DBT were identified in Google Play and iOS app stores and were systematically reviewed for app content and quality. The Mobile App Rating Scale (MARS) was used to evaluate app usability and engagement.
A total of 21 free to download apps were identified. The majority of apps (71%) included a component of skills training, five apps included a diary card feature. Most (76.19%) apps were designed to function without help from a therapist. The average user "star" rating was 4.39 out of 5. The mean overall MARS score was 3.41, with a range of 2.15 to 4.59, and 71.43% were considered minimally 'acceptable,' as defined by a score of 3 or higher. The average star rating was correlated with the total MARS score (r = .51, p = .02). Estimates of app usage differed substantially between popular and unpopular apps, with the three most popular apps accounting for 89.3% of monthly active users.
While the present study identified many usable and engaging apps in app stores designed based on DBT, there are limited apps for clinicians. DBT based mobile apps should be carefully developed and clinically evaluated.
对于寻求辩证行为疗法（DBT）的个体而言，治疗需求与可获得的治疗之间的差距尤为巨大，基于DBT的移动应用程序可能有助于增加获得治疗的机会并增强面对面DBT治疗的效果。本综述考察了基于DBT的应用程序，特别关注其内容质量和可用性。
在谷歌应用商店和iOS应用商店中识别出所有提及DBT的应用程序，并对其应用内容和质量进行系统评价。使用移动应用程序评分量表（MARS）来评估应用程序的可用性和参与度。
共识别出21款可免费下载的应用程序。大多数应用程序（71%）包含技能培训组件，5款应用程序具有日记卡功能。大多数（76.19%）应用程序设计为无需治疗师帮助即可运行。用户平均“星级”评分为4.39（满分5分）。MARS总体平均得分为3.41，范围为2.15至4.59，71.43%被认为至少达到“可接受”水平（定义为得分3分或更高）。平均星级评分与MARS总分相关（r = 0.51，p = 0.02）。受欢迎和不受欢迎的应用程序在应用程序使用估计方面存在很大差异，最受欢迎的三款应用程序占月活跃用户的89.3%。
虽然本研究在基于DBT设计的应用商店中识别出许多可用且引人入胜的应用程序，但面向临床医生的应用程序有限。基于DBT的移动应用程序应谨慎开发并进行临床评估。
