Kadirvelu Balasundaram, Bellido Bel Teresa, Wu Xiaofei, Burmester Victoria, Ananth Shayma, Cabral C C Branco Bianca, Girela-Serrano Braulio, Gledhill Julia, Di Simplicio Martina, Nicholls Dasha, Faisal A Aldo
Brain & Behaviour Lab, Department of Computing and Department of Bioengineering, Imperial College London, London, United Kingdom.
Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, United Kingdom.
JMIR Form Res. 2023 Jun 26;7:e44877. doi: 10.2196/44877.
Children and young people's mental health is a growing public health concern, which is further exacerbated by the COVID-19 pandemic. Mobile health apps, particularly those using passive smartphone sensor data, present an opportunity to address this issue and support mental well-being.
This study aimed to develop and evaluate a mobile mental health platform for children and young people, Mindcraft, which integrates passive sensor data monitoring with active self-reported updates through an engaging user interface to monitor their well-being.
A user-centered design approach was used to develop Mindcraft, incorporating feedback from potential users. User acceptance testing was conducted with a group of 8 young people aged 15-17 years, followed by a pilot test with 39 secondary school students aged 14-18 years, which was conducted for a 2-week period.
Mindcraft showed encouraging user engagement and retention. Users reported that they found the app to be a friendly tool helping them to increase their emotional awareness and gain a better understanding of themselves. Over 90% of users (36/39, 92.5%) answered all active data questions on the days they used the app. Passive data collection facilitated the gathering of a broader range of well-being metrics over time, with minimal user intervention.
The Mindcraft app has shown promising results in monitoring mental health symptoms and promoting user engagement among children and young people during its development and initial testing. The app's user-centered design, the focus on privacy and transparency, and a combination of active and passive data collection strategies have all contributed to its efficacy and receptiveness among the target demographic. By continuing to refine and expand the app, the Mindcraft platform has the potential to contribute meaningfully to the field of mental health care for young people.
儿童和青少年的心理健康日益受到公共卫生领域的关注，而新冠疫情更是加剧了这一问题。移动健康应用程序，尤其是那些使用智能手机被动传感器数据的应用程序，为解决这一问题和支持心理健康提供了契机。
本研究旨在开发并评估一款针对儿童和青少年的移动心理健康平台——Mindcraft，该平台通过引人入胜的用户界面，将被动传感器数据监测与主动的自我报告更新相结合，以监测他们的心理健康状况。
采用以用户为中心的设计方法来开发Mindcraft，并纳入潜在用户的反馈。对一组8名年龄在15至17岁的年轻人进行了用户接受度测试，随后对39名年龄在14至18岁的中学生进行了为期2周的试点测试。
Mindcraft显示出令人鼓舞的用户参与度和留存率。用户报告称，他们发现该应用程序是一个友好的工具，有助于提高他们的情绪意识并更好地了解自己。超过90%的用户（36/39，92.5%）在使用该应用程序的当天回答了所有主动数据问题。被动数据收集随着时间的推移促进了更广泛的心理健康指标的收集，且用户干预极少。
Mindcraft应用程序在其开发和初步测试过程中，在监测儿童和青少年心理健康症状以及促进用户参与方面显示出了有前景的结果。该应用程序以用户为中心的设计、对隐私和透明度的关注以及主动和被动数据收集策略的结合，都促成了其在目标人群中的有效性和接受度。通过持续完善和扩展该应用程序，Mindcraft平台有潜力为青少年心理健康护理领域做出有意义的贡献。
