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

Annabel E. L. Walsh (), Georgia Naughton, Thomas Sharpe, Zuzanna Zajkowska, Mantas Malys, Alastair Heerden and Valeria Mondelli
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Annabel E. L. Walsh: The McPin Foundation
Georgia Naughton: The McPin Foundation
Thomas Sharpe: The McPin Foundation
Zuzanna Zajkowska: King’s College London
Mantas Malys: King’s College London
Alastair Heerden: Human Sciences Research Council
Valeria Mondelli: King’s College London

Nature Human Behaviour, 2024, vol. 8, issue 3, 480-492

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41562-023-01793-5

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