Evaluation of a CBT-Based Program for Mental Health in the General Population During the COVID-19 Pandemic: A Stepped-Care Approach Using a Chatbot and Digitized Group Intervention

IF 4.7 2区 医学 Q1 PSYCHIATRY Depression and Anxiety Pub Date : 2024-11-25 DOI:10.1155/2024/8950388
Till Langhammer, Kevin Hilbert, Robert Wasenmueller, Berit Praxl, Andrea Ertle, Julia Asbrand, Ulrike Lueken
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Abstract

Background: The COVID-19 pandemic exposed a substantial portion of society to multiple stressors, while access to mental health care was limited. To address this, we introduced a digital stepped-care program rooted in cognitive–behavioral therapy (CBT) principles, aiming to alleviate mental health distress among the general public seeking help.

Methods: The program comprises a 4-week digital application using “Aury” the chatbot, followed by an optional 6-week online group session for those still symptomatic. A 4-week waiting period separated these steps. Participants entered based on self-identified mental health concerns. Interventions addressed prevalent pandemic mental health issues: sleep disturbances, anxiety, depression, worry/rumination, interpersonal issues, and resource mobilization. Outcomes focused on depressive, anxiety, and somatic symptoms, assessed by the Patient Health Questionnaire (PHQ).

Results: Of the 1261 initial participants, postchatbot results (N = 142) indicated small to medium effects (d = 0.412 to d = 0.523). Those finishing the entire program (N = 41) saw substantial symptom decline with medium to large effects (d = 0.757 to d = 0.818). No shifts were seen in the waiting phase. At follow-up 6 months after baseline, both groups—those who only used the chatbot (N = 60; d = 0.284 to d = 0.416) and those who completed the entire program (N = 27; d = 0.854 to d = 0.926)—showed sustained symptom reduction. Comparing groups that received no intervention, used the chatbot only, and completed the entire program, we observed a dose–response effect.

Conclusions: This resource-efficient and adaptable digital approach effectively reduced pandemic-induced mental health issues, indicating its potential in crisis periods with limited health resources. Randomized controlled trials are recommended for further validation.

Trial Registration: Clinical Trial Registry identifier: DRKS00023220.

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评估 COVID-19 大流行期间基于 CBT 的普通人群心理健康计划:使用聊天机器人和数字化小组干预的阶梯式护理方法
背景:COVID-19 大流行使社会上相当一部分人面临多重压力,而获得心理健康护理的机会却很有限。为解决这一问题,我们引入了一项基于认知行为疗法(CBT)原理的数字化阶梯式护理计划,旨在减轻寻求帮助的普通大众的心理健康困扰。 方法:该项目包括使用聊天机器人 "Aury "进行为期4周的数字应用,然后为仍有症状的人提供为期6周的可选在线小组课程。这些步骤之间有 4 周的等待期。参与者根据自我认定的心理健康问题加入。干预措施针对的是大流行病中普遍存在的心理健康问题:睡眠障碍、焦虑、抑郁、担忧/烦恼、人际关系问题和资源调动。结果主要集中在抑郁、焦虑和躯体症状上,通过患者健康问卷(PHQ)进行评估。 结果:在 1261 名初始参与者中,chatbot 后的结果(N = 142)显示了小到中等的效果(d = 0.412 到 d = 0.523)。完成整个项目的参与者(N = 41)症状明显减轻,效果为中度到重度(d = 0.757 到 d = 0.818)。在等待阶段,症状没有发生变化。在基线后 6 个月的随访中,两组--只使用聊天机器人的一组(N = 60;d = 0.284 到 d = 0.416)和完成整个项目的一组(N = 27;d = 0.854 到 d = 0.926)--都显示症状持续减轻。比较未接受干预组、仅使用聊天机器人组和完成整个项目组,我们观察到了剂量反应效应。 结论这种资源效率高、适应性强的数字化方法有效减少了大流行引发的心理健康问题,表明它在卫生资源有限的危机时期具有潜力。建议进行随机对照试验以进一步验证。 试验注册:临床试验注册标识符:DRKS00023220:DRKS00023220.
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来源期刊
Depression and Anxiety
Depression and Anxiety 医学-精神病学
CiteScore
15.00
自引率
1.40%
发文量
81
审稿时长
4-8 weeks
期刊介绍: Depression and Anxiety is a scientific journal that focuses on the study of mood and anxiety disorders, as well as related phenomena in humans. The journal is dedicated to publishing high-quality research and review articles that contribute to the understanding and treatment of these conditions. The journal places a particular emphasis on articles that contribute to the clinical evaluation and care of individuals affected by mood and anxiety disorders. It prioritizes the publication of treatment-related research and review papers, as well as those that present novel findings that can directly impact clinical practice. The journal's goal is to advance the field by disseminating knowledge that can lead to better diagnosis, treatment, and management of these disorders, ultimately improving the quality of life for those who suffer from them.
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