对促进青少年心理健康和预防心理健康状况的数字干预措施进行范围审查。

Oxford open digital health Pub Date : 2025-02-02 eCollection Date: 2025-01-01 DOI:10.1093/oodh/oqaf005
Evangelia Baka, Yi-Roe Tan, Brian Li Han Wong, Zhongyue Xing, Peiling Yap
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引用次数: 0

摘要

利用数字技术(如移动应用程序、基于网络的平台、人工智能和可穿戴设备)的数字心理健康干预措施已成为解决年轻人心理健康需求的一个有希望的途径。本范围审查审查了10-24岁年轻人的初级和二级预防性DMH干预措施的情况。对六个电子数据库进行了检索,最终纳入了2010年至2022年间发表的81项研究。这些研究中的每一个都对应于一个独特的DMH干预。我们的研究结果表明,从2019年起,促进和预防性DMH干预领域的研究活动开始取得进展,其中大多数研究是在澳大利亚和美国进行的。70%的研究以预防心理健康状况为目标。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、生活技能和与压力具体相关的障碍是最具针对性的心理健康或福祉状况。最后,移动应用程序和网络界面是DMH干预研究最多的形式。这些应用程序中的大多数都集成了先进的AI/ML算法,以实现个性化和实时监控。然而,显然需要更加强调预防措施,特别是促进精神卫生措施,并在今后的研究中积极纳入低收入和中等收入国家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A scoping review of digital interventions for the promotion of mental health and prevention of mental health conditions for young people.

A scoping review of digital interventions for the promotion of mental health and prevention of mental health conditions for young people.

A scoping review of digital interventions for the promotion of mental health and prevention of mental health conditions for young people.

A scoping review of digital interventions for the promotion of mental health and prevention of mental health conditions for young people.

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.

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