Health-Promoting Effects and Everyday Experiences With a Mental Health App Using Ecological Momentary Assessments and AI-Based Ecological Momentary Interventions Among Young People: Qualitative Interview and Focus Group Study.

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Selina Hiller, Christian Götzl, Christian Rauschenberg, Janik Fechtelpeter, Georgia Koppe, Eva Wierzba, Julia Sauter, Sina Dietrich, Daniel Durstewitz, Ulrich Reininghaus, Silvia Krumm
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引用次数: 0

Abstract

Background: Considering the high prevalence of mental health conditions among young people and the technological advancements of artificial intelligence (AI)-based approaches in health services, mobile health (mHealth) apps for mental health are a promising way for low-threshold and large-scale mental health promotion, prevention, and intervention strategies, especially for young people. However, insufficient evidence on health-promoting effects and deficient user-centric designs emphasize the necessity for participatory methods in the interventions' development processes.

Objective: This study aimed to explore young people's everyday experiences using an AI-based mHealth app for mental health promotion based on ecological momentary assessments and ecological momentary interventions. Our analysis of qualitative data focused on exploring young people's use patterns in daily life and mental health-promoting effects.

Methods: We conducted problem-centered interviews and focus groups with a subsample of 27 young people aged 14 to 25 years, who were among the participants of 2 microrandomized trials testing and evaluating an AI-based mHealth app (AI4U training). Our study used a participatory approach, with "co- and peer researchers" from the dialogue population actively engaged in research processes and data analysis. Structural content analysis guided the qualitative analysis.

Results: Participants reported enhanced emotional self-awareness and regulation in daily life through the ecological momentary assessments and ecological momentary interventions. Young people appreciated the AI4U training for managing emotions and stress. They had no trust issues regarding disclosing their mental health via the AI4U training in daily life. Some faced challenges integrating it into their daily routines and highlighted the value of autonomy in use decision-making processes.

Conclusions: Our findings reveal that young people benefited from enhanced emotional awareness and management through the use of the AI4U training, appreciating its anonymity for facilitating emotional disclosure. The results suggest that enhanced self-directed use may improve daily life integration, although participants noted that they sometimes avoided using the AI4U training during distress despite recognizing its potential benefits. These findings indicate the importance of balancing directed use and autonomy in digital interventions to harmonize compliance with effectiveness in daily life. We highlight the importance of participatory research for tailored digital mental health solutions.

基于生态瞬间评估和人工智能生态瞬间干预的青少年心理健康App的健康促进效果和日常体验:质性访谈和焦点小组研究
背景:考虑到年轻人心理健康状况的高患病率以及基于人工智能(AI)的卫生服务方法的技术进步,用于心理健康的移动健康(mHealth)应用程序对于低门槛和大规模的心理健康促进、预防和干预策略,特别是对年轻人来说,是一种很有前途的方式。然而,关于促进健康效果的证据不足,以及缺乏以用户为中心的设计,强调了在干预措施的发展过程中采用参与性方法的必要性。目的:本研究旨在探索基于生态瞬时评估和生态瞬时干预的年轻人使用基于人工智能的移动健康应用程序促进心理健康的日常体验。我们对定性数据的分析侧重于探索年轻人在日常生活中的使用模式和心理健康促进作用。方法:我们对27名年龄在14至25岁之间的年轻人进行了以问题为中心的访谈和焦点小组,他们是2个微随机试验的参与者,用于测试和评估基于人工智能的移动健康应用程序(AI4U培训)。我们的研究采用了参与式方法,对话人群中的“同事和同行研究人员”积极参与研究过程和数据分析。结构含量分析指导定性分析。结果:通过生态瞬间评价和生态瞬间干预,被试在日常生活中情绪自我意识和调节能力有所增强。年轻人对AI4U管理情绪和压力的培训表示赞赏。他们在日常生活中对通过AI4U培训披露自己的心理健康状况没有信任问题。一些人面临着将其融入日常生活的挑战,并强调了在使用决策过程中自主的价值。结论:我们的研究结果表明,通过使用AI4U培训,年轻人受益于增强的情绪意识和管理,并欣赏其促进情绪表露的匿名性。结果表明,增强自我指导的使用可能会改善日常生活的整合,尽管参与者指出,他们有时会在痛苦时避免使用AI4U训练,尽管认识到它的潜在好处。这些发现表明,平衡数字干预措施的直接使用和自主性,以协调日常生活中的依从性和有效性的重要性。我们强调参与性研究对量身定制的数字心理健康解决方案的重要性。
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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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