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

Author

Listed:
  • Annabel E. L. Walsh

    (The McPin Foundation
    King’s College London)

  • 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
    University of the Witwatersrand)

  • Valeria Mondelli

    (King’s College London
    South London and Maudsley NHS Foundation Trust and King’s College London)

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.

Suggested Citation

  • Annabel E. L. Walsh & Georgia Naughton & Thomas Sharpe & Zuzanna Zajkowska & Mantas Malys & Alastair Heerden & Valeria Mondelli, 2024. "A collaborative realist review of remote measurement technologies for depression in young people," Nature Human Behaviour, Nature, vol. 8(3), pages 480-492, March.
    • Handle: RePEc:nat:nathum:v:8:y:2024:i:3:d:10.1038_s41562-023-01793-5
    DOI: 10.1038/s41562-023-01793-5
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    References listed on IDEAS

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    1. Alexander R. Daros & Sasha A. Haefner & Shayan Asadi & Sharifa Kazi & Terri Rodak & Lena C. Quilty, 2021. "A meta-analysis of emotional regulation outcomes in psychological interventions for youth with depression and anxiety," Nature Human Behaviour, Nature, vol. 5(10), pages 1443-1457, October.
    2. Catherine L. Sebastian & Inês Pote & Miranda Wolpert, 2021. "Author Correction: Searching for active ingredients to combat youth anxiety and depression," Nature Human Behaviour, Nature, vol. 5(11), pages 1590-1590, November.
    3. Catherine L. Sebastian & Inês Pote & Miranda Wolpert, 2021. "Searching for active ingredients to combat youth anxiety and depression," Nature Human Behaviour, Nature, vol. 5(10), pages 1266-1268, October.
    4. Danica Facca & Maxwell J Smith & Jacob Shelley & Daniel Lizotte & Lorie Donelle, 2020. "Exploring the ethical issues in research using digital data collection strategies with minors: A scoping review," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    5. Kosuke Kajitani & Ikumi Higashijima & Kosuke Kaneko & Tomoko Matsushita & Hideaki Fukumori & Daewoong Kim, 2020. "Short-term effect of a smartphone application on the mental health of university students: A pilot study using a user-centered design self-monitoring application for mental health," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-18, September.
    6. Lindsay H Dewa & Mary Lavelle & Katy Pickles & Caroline Kalorkoti & Jack Jaques & Sofia Pappa & Paul Aylin, 2019. "Young adults’ perceptions of using wearables, social media and other technologies to detect worsening mental health: A qualitative study," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-14, September.
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