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    Identifying and categorizing adverse events in trials of digital mental health interventions: Narrative scoping review of trials in the International Standard Randomized Controlled Trial Number Registry

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    Author
    Bergin, Aislinn
    Valentine, Althea Z.
    Rennick-Egglestone, Stefan
    Slade, Mike
    Keyword
    Mental health
    Digital technology
    
    Metadata
    Show full item record
    DOI
    10.2196/42501
    Publisher's URL
    https://mental.jmir.org/2023/1/e42501
    Abstract
    BACKGROUND: To contextualize the benefits of an intervention, it is important that adverse events (AEs) are reported. This is potentially difficult in trials of digital mental health interventions, where delivery may be remote and the mechanisms of actions less understood. OBJECTIVE: We aimed to explore the reporting of AEs in randomized controlled trials of digital mental health interventions. METHODS: The International Standard Randomized Controlled Trial Number database was searched for trials registered before May 2022. Using advanced search filters, we identified 2546 trials in the category of mental and behavioral disorders. These trials were independently reviewed by 2 researchers against the eligibility criteria. Trials were included where digital mental health interventions for participants with a mental health disorder were evaluated through a completed randomized controlled trial (protocol and primary results publication published). Published protocols and primary results publications were then retrieved. Data were extracted independently by 3 researchers, with discussion to reach consensus when required. RESULTS: Twenty-three trials met the eligibility criteria, of which 16 (69%) included a statement on AEs within a publication, but only 6 (26%) reported AEs within their primary results publication. Seriousness was referred to by 6 trials, relatedness by 4, and expectedness by 2. More interventions delivered with human support (9/11, 82%) than those with only remote or no support (6/12, 50%) included a statement on AEs, but they did not report more AEs. Several reasons for participant dropout were identified by trials that did not report AEs, of which some were identifiable or related to AEs, including serious AEs. CONCLUSIONS: There is significant variation in the reporting of AEs in trials of digital mental health interventions. This variation may reflect limited reporting processes and difficulty recognizing AEs related to digital mental health interventions. There is a need to develop guidelines specifically for these trials to improve future reporting.
    Citation
    Gómez Bergin, A. D., Valentine, A. Z., Rennick-Egglestone, S., Slade, M., Hollis, C. & Hall, C. L. (2023). Identifying and categorizing adverse events in trials of digital mental health interventions: Narrative scoping review of trials in the International Standard Randomized Controlled Trial Number Registry. JMIR Mental Health, 10, pp.e42501.
    Type
    Article
    URI
    http://hdl.handle.net/20.500.12904/18240
    Note
    ©Aislinn D Gómez Bergin, Althea Z Valentine, Stefan Rennick-Egglestone, Mike Slade, Chris Hollis, Charlotte L Hall. Originally published in JMIR Mental Health (https://mental.jmir.org), 22.02.2023. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on https://mental.jmir.org/, as well as this copyright and license information must be included.
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