Marciano Laura, Saboor Sundas
Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Lee Kum Sheung Center for Health and Happiness and Dana Farber Cancer Institute, Boston, MA, United States.
Front Psychol. 2023 Mar 9;14:1126015. doi: 10.3389/fpsyg.2023.1126015. eCollection 2023.
In this perspective, we aim to bring together research on mobile assessments and interventions in the context of mental health care in youth. After the COVID-19 pandemic, one out of five young people is experiencing mental health problems worldwide. New ways to face this burden are now needed. Young people search for low-burden services in terms of costs and time, paired with high flexibility and easy accessibility. Mobile applications meet these principles by providing new ways to inform, monitor, educate, and enable self-help, thus reinventing mental health care in youth. In this perspective, we explore the existing literature reviews on mobile assessments and interventions in youth through data collected passively (e.g., digital phenotyping) and actively (e.g., using Ecological Momentary Assessments-EMAs). The richness of such approaches relies on assessing mental health dynamically by extending beyond the confines of traditional methods and diagnostic criteria, and the integration of sensor data from multiple channels, thus allowing the cross-validation of symptoms through multiple information. However, we also acknowledge the promises and pitfalls of such approaches, including the problem of interpreting small effects combined with different data sources and the real benefits in terms of outcome prediction when compared to gold-standard methods. We also explore a new promising and complementary approach, using chatbots and conversational agents, that encourages interaction while tracing health and providing interventions. Finally, we suggest that it is important to continue to move beyond the ill-being framework by giving more importance to intervention fostering well-being, e.g., using positive psychology.
从这个角度来看,我们旨在汇集有关青少年心理健康护理背景下移动评估和干预措施的研究。在新冠疫情之后,全球五分之一的年轻人正经历心理健康问题。现在需要新的方法来应对这一负担。年轻人在成本和时间方面寻求低负担的服务,同时要求具有高度灵活性和易于获取。移动应用程序通过提供新的方式来提供信息、进行监测、开展教育并实现自助,从而重塑了青少年心理健康护理。从这个角度出发,我们通过被动收集的数据(例如数字表型分析)和主动收集的数据(例如使用生态瞬时评估法——EMA)来探索现有的关于青少年移动评估和干预措施的文献综述。此类方法的丰富性在于,通过超越传统方法和诊断标准的局限来动态评估心理健康,并整合来自多个渠道的传感器数据,从而能够通过多种信息对症状进行交叉验证。然而,我们也认识到这些方法的前景和缺陷,包括解释与不同数据源相结合的微小效应的问题,以及与金标准方法相比在结果预测方面的实际益处。我们还探索了一种新的、有前景的补充方法,即使用聊天机器人和对话代理,这种方法在追踪健康状况并提供干预措施的同时鼓励互动。最后,我们建议,重要的是要继续超越不良状态框架,更加重视促进幸福感的干预措施,例如运用积极心理学。