Baka Evangelia, Tan Yi-Roe, Wong Brian Li Han, Xing Zhongyue, Yap Peiling
HealthAI, Rue de Varembé 7, 1202, Geneva, Switzerland.
Information Service Science, Faculty of Economics and Management, University of Geneva, 1205, Geneva, Switzerland.
Oxf Open Digit Health. 2025 Feb 2;3:oqaf005. doi: 10.1093/oodh/oqaf005. eCollection 2025.
Digital mental health (DMH) interventions leveraging digital technologies, such as mobile applications, web-based platforms, artificial intelligence and wearable devices, have emerged as a promising avenue for addressing the mental health needs of young people. This scoping review examines the landscape of primary and secondary preventive DMH interventions for young people aged 10-24 years. Six electronic databases were searched, leading to a final incorporation of 81 studies published between 2010 and 2022. Each of these studies corresponds to a unique DMH intervention. Our findings reveal that research activity in the area of promotive and preventive DMH interventions started gaining ground from 2019 onwards, with the majority of studies conducted in Australia and the USA. 70% of the total studies targeted the prevention of mental health conditions. Randomized controlled trials were the predominant study methodology, while mental well-being, depressive disorders, anxiety disorders, life skills and disorders specifically associated with stress were the most targeted mental health or well-being conditions. Finally, mobile applications and web interfaces were the most studied form of DMH interventions. Most of these applications have integrated advanced AI/ML algorithms to serve the purpose of personalization and real-time monitoring. However, there is a marked need for more emphasis on preventive and, especially, promotive mental health measures, as well as the active inclusion of low- and middle-income countries in future research.
利用移动应用程序、基于网络的平台、人工智能和可穿戴设备等数字技术的数字心理健康(DMH)干预措施,已成为满足年轻人心理健康需求的一条有前景的途径。本范围综述考察了针对10至24岁年轻人的一级和二级预防性DMH干预措施的情况。检索了六个电子数据库,最终纳入了2010年至2022年期间发表的81项研究。这些研究中的每一项都对应一种独特的DMH干预措施。我们的研究结果表明,促进性和预防性DMH干预领域的研究活动从2019年起开始增多,大多数研究在澳大利亚和美国进行。所有研究中有70%的目标是预防心理健康问题。随机对照试验是主要的研究方法,而心理健康、抑郁症、焦虑症、生活技能以及与压力特别相关的疾病是最常针对的心理健康或幸福状况。最后,移动应用程序和网络界面是DMH干预措施中研究最多的形式。这些应用程序大多集成了先进的人工智能/机器学习算法,以实现个性化和实时监测的目的。然而,明显需要更多地强调预防性措施,尤其是促进性心理健康措施,以及在未来研究中积极纳入低收入和中等收入国家。