用于抑郁症的计算机辅助认知行为疗法及移动应用程序：评估与临床护理整合
Computer-Assisted CBT and Mobile Apps for Depression: Assessment and Integration Into Clinical Care.
作者信息
Wright Jesse H, Mishkind Matthew
机构信息
Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky (Wright); Johnson Depression Center, Department of Family Medicine, University of Colorado School of Medicine, Aurora (Mishkind).
出版信息
Focus (Am Psychiatr Publ). 2020 Apr;18(2):162-168. doi: 10.1176/appi.focus.20190044. Epub 2020 Apr 23.
Abstract
A surge in the development of computer-assisted cognitive-behavioral therapy (CCBT) and mobile apps for depression has provided many tools with potential for enhancing treatment delivery. This article assesses progress in evaluation and implementation of CCBT and mobile apps for depression, with a focus on providing practical information on clinical applications. Advantage and disadvantages of these technologies are identified, outcome research is reviewed, and recommendations are made for clinical use. With increasing use of computer technology in everyday life, it is likely that clinicians and patients will pursue opportunities to employ computer tools in treatment for depression.
摘要
计算机辅助认知行为疗法（CCBT）以及用于治疗抑郁症的移动应用程序的迅猛发展，提供了许多具有改善治疗效果潜力的工具。本文评估了CCBT和抑郁症移动应用程序在评估与实施方面的进展，重点是提供有关临床应用的实用信息。确定了这些技术的优缺点，回顾了结果研究，并提出了临床使用建议。随着计算机技术在日常生活中的使用日益增加，临床医生和患者很可能会寻求利用计算机工具来治疗抑郁症的机会。
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