Big Health Inc., San Francisco, CA, USA; Big Health Inc., London, UK; Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, Sir William Dunn School of Pathology, University of Oxford, Oxford, UK.
Big Health Inc., San Francisco, CA, USA; Big Health Inc., London, UK; University Department of Psychiatry, University of Oxford and Oxford Health NHS Trust, Warneford Hospital, Oxford, UK.
J Behav Ther Exp Psychiatry. 2021 Mar;70:101609. doi: 10.1016/j.jbtep.2020.101609. Epub 2020 Sep 8.
Cognitive behavioral therapy (CBT) is a first-line treatment for anxiety, but it is not widely available as clinical guidelines recommend. We examined the feasibility and efficacy of a novel smartphone-based fully automated digital CBT intervention, 'Daylight™', to improve symptoms of Generalized Anxiety Disorder (GAD).
In this multiple-baseline design, 21 adults (20 F; mean age 43yrs. range 19-65yrs.) with moderate-to-severe symptoms of GAD were randomized to one of three baseline durations (2-, 4-, or 6-weeks) and then received access to digital CBT. Participants completed daily ratings of anxiety and worry, weekly measures of anxiety, depressive symptoms, and sleep, and measures of anxiety, worry, wellbeing, quality of life, CBT skill acquisition, and work performance at initial assessment prior to baseline randomization, post-intervention, and follow-up.
Digital CBT was found to be feasible in terms of engagement, satisfaction, and safety. For preliminary efficacy, improvements were detected in daily and weekly outcomes of anxiety for most participants. Despite individual differences, significant improvements occurred with the introduction of digital CBT and not during baseline. Overall, 70% of participants no longer had clinically significant symptoms of GAD, 61% no longer had significant depressive symptoms, and 40% no longer had significant sleep difficulty at post-intervention.
The study sample was recruited using the internet and was mostly female, limiting the generalizability of the findings.
Findings support the feasibility and efficacy of Daylight. Further examination in randomized controlled trials is now warranted.
认知行为疗法(CBT)是治疗焦虑症的一线疗法,但按照临床指南的建议,其应用并不广泛。我们研究了一种新颖的基于智能手机的全自动化数字 CBT 干预措施“Daylight”治疗广泛性焦虑症(GAD)的可行性和疗效。
在这项多基线设计中,21 名患有中度至重度 GAD 症状的成年人(20 名女性;平均年龄 43 岁,范围 19-65 岁)被随机分配到 2 周、4 周或 6 周的基线时长之一,然后获得数字 CBT 治疗。参与者在基线随机分组之前、干预后和随访时完成每日焦虑和担忧评分、每周焦虑、抑郁症状和睡眠评估,以及焦虑、担忧、幸福感、生活质量、CBT 技能习得和工作表现评估。
数字 CBT 在参与度、满意度和安全性方面被证明是可行的。在初步疗效方面,大多数参与者的日常和每周焦虑结果均有改善。尽管存在个体差异,但在引入数字 CBT 时而非基线期间出现了显著改善。总体而言,70%的参与者不再有临床显著的 GAD 症状,61%不再有显著的抑郁症状,40%不再有显著的睡眠困难。
研究样本通过互联网招募,且大多数为女性,限制了研究结果的普遍性。
研究结果支持 Daylight 的可行性和疗效。现在需要进行随机对照试验进一步研究。