A collaborative realist review of remote measurement technologies for depression in young people

Author:

Walsh Annabel E. L.ORCID,Naughton GeorgiaORCID,Sharpe Thomas,Zajkowska Zuzanna,Malys Mantas,van Heerden AlastairORCID,Mondelli ValeriaORCID

Abstract

AbstractDigital mental health is becoming increasingly common. This includes use of smartphones and wearables to collect data in real time during day-to-day life (remote measurement technologies, RMT). Such data could capture changes relevant to depression for use in objective screening, symptom management and relapse prevention. This approach may be particularly accessible to young people of today as the smartphone generation. However, there is limited research on how such a complex intervention would work in the real world. We conducted a collaborative realist review of RMT for depression in young people. Here we describe how, why, for whom and in what contexts RMT appear to work or not work for depression in young people and make recommendations for future research and practice. Ethical, data protection and methodological issues need to be resolved and standardized; without this, RMT may be currently best used for self-monitoring and feedback to the healthcare professional where possible, to increase emotional self-awareness, enhance the therapeutic relationship and monitor the effectiveness of other interventions.

Funder

Wellcome Trust

McPin Foundation

MQ

Publisher

Springer Science and Business Media LLC

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cautions on digital mental health;Nature Human Behaviour;2024-01-15

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