评估智力认知行为治疗手机应用程序对高危日本员工焦虑和抑郁症状的疗效:随机对照试验

IF 6.2 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Kengo Yokomitsu, Riki Oimatsu, Sean Han Yang Toh, Oliver Sündermann
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引用次数: 0

摘要

背景:在日本,工作人口中焦虑和抑郁症状的患病率有所上升。COVID-19大流行的经济影响以及远程工作设置造成的社会隔离加剧了这种情况。移动健康应用程序,特别是那些包含认知行为疗法(CBT)功能的应用程序,已经显示出解决这些症状的潜力。这些自我引导的CBT干预措施有望缓解在日本员工中经常观察到的高度抑郁和焦虑症状。目的:通过一项随机对照试验,在干预后和2个月的随访中,我们比较了“INTELLECT”应用程序与未治疗对照组在改善日本全职员工抑郁症状和CBT技能方面的疗效。方法:共有123名全职日本员工被随机分配到干预组(智力),在那里他们从事自助CBT特征,或对照组不接受治疗。干预参与者被要求在4周的时间内每周至少花20分钟参与这些特征。从基线开始收集所有参与者的每周自我报告评估,一直持续到4周干预期结束。随访时间分别为1个月和2个月。使用线性混合模型来评估自我指导干预对抑郁症状的任何影响(由患者健康问卷-4测量)和认知行为技能(由认知行为治疗技能量表测量)。应用程序的可行性、可用性和可接受性评级也使用数字心理健康实施结果量表(iOSDMH)进行了检查。结果:最终样本(n=73)包括46名(63%)女性参与者,23名(32%)男性参与者和4名(6%)其他性别参与者,平均年龄为40.4 (SD 10.7)岁。在干预后和2个月的随访中发现显著的时间×组相互作用,干预组(n=34)在干预后报告的抑郁症状显著低于对照组(n=38) (t364.7426=-2.243;P = .03点;Cohen d=-0.57, 95% CI -1.07 ~ -0.06)和2个月随访(t364.6948=-3.284;结论:本研究提供了智力应用程序上的CBT功能在改善抑郁症状和自我监控认知技能方面有效的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial.

Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial.

Background: In Japan, the prevalence of anxiety and depressive symptoms within the working population has risen. This has been accentuated by the economic repercussions of the COVID-19 pandemic and the social isolation resulting from remote work setups. Mobile health apps, particularly those incorporating cognitive behavioral therapy (CBT) features, have shown potential in addressing these symptoms. These self-guided CBT interventions hold promise in alleviating the heightened depressive and anxiety symptoms often observed among Japanese employees.

Objective: Using a randomized controlled trial, we compared the efficacy of the "INTELLECT" app against a no-treatment control group in improving depressive symptoms and CBT skills among Japanese full-time employees at postintervention and 2-month follow-up.

Methods: A total of 123 full-time Japanese employees were randomly allocated to either the intervention group (INTELLECT), where they engaged with self-help CBT features, or to a control group receiving no treatment. Intervention participants were required to engage with these features for at least 20 minutes per week over a span of 4 weeks. Weekly self-reported assessments were collected from all participants starting from baseline and continuing until the end of the 4-week intervention period. Subsequent assessments were conducted at 1-month and 2-month follow-up intervals. Linear mixed models were used to evaluate any effects of the self-guided intervention on depressive symptoms, as measured by the Patient Health Questionnaire-4, and cognitive behavioral skills, as measured by the Cognitive Behavioral Therapy Skills Scale. The app's feasibility, usability, and acceptability ratings were also examined using the Implementation Outcome Scales for Digital Mental Health (iOSDMH).

Results: The final sample (n=73) consisted of 46 (63%) participants who were female, 23 (32%) participants who were male, and 4 (6%) participants who identified as other genders, with a mean age of 40.4 (SD 10.7) years. Significant time × group interactions were found at postintervention and 2-month follow-up, with the intervention group (n=34) reporting significantly lower depressive symptoms than the control group (n=38) at postintervention (t364.7426=-2.243; P=.03; Cohen d=-0.57, 95% CI -1.07 to -0.06) and 2-month follow-up (t364.6948=-3.284; P<.001; Cohen d=-0.85, 95% CI -1.38 to -0.32). In addition, intervention participants reported significantly greater improvements in self-monitoring cognitive skills than control participants at postintervention (t120.7526=2.672; P=.01; Cohen d=0.68, 95% CI 0.17 to 1.18) but not follow-up (t121.5475=1.947; P=.05; Cohen d=0.50, 95% CI -0.01 to 1.02).

Conclusions: This study provides evidence that CBT features on the INTELLECT app are effective in improving depressive symptoms and self-monitoring cognitive skills.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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