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

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Abstract

Digital 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.

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Walsh, A. E. L., Naughton, G., Sharpe, T., Zajkowska, Z., Malys, M., van Heerden, A., & Mondelli, V. (2024). A collaborative realist review of remote measurement technologies for depression in young people. Nature Human Behaviour, 8(3), 480–492. https://doi.org/10.1038/s41562-023-01793-5

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