A systematic review on passive sensing for the prediction of suicidal thoughts and behaviors

Abstract: Passive sensing data from smartphones and wearables may help improve the prediction of suicidal thoughts and behaviors (STB). In this systematic review, we explored the feasibility and predictive validity of passive sensing for STB. On June 24, 2024, we systematically searched Medline, Embase, Web of Science, PubMed, and PsycINFO. Studies were eligible if they investigated the association between STB and passive sensing, or the feasibility of passive sensing in this context. From 2107 unique records, we identified eleven prediction studies, ten feasibility studies, and seven protocols. Studies indicated generally lower model performance for passive compared to active data, with three out of four studies finding no incremental value. PROBAST ratings revealed major shortcomings in methodology and reporting. Studies suggested that passive sensing is feasible in high-risk populations. In conclusion, there is limited evidence on the predictive value of passive sensing for STB. We highlight important quality characteristics for future research

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch
• Notes: npj mental health research. - 3, 1 (2024) , 42, ISSN: 2731-4251

Contributors, Places and Time

• Event: Veröffentlichung
• (where): Freiburg
• (who): Universität
• (when): 2024
• Creator: Büscher, Rebekka ; Winkler, Tanita ; Mocellin, Jacopo ; Homan, Stephanie ; Josifovski, Natasha ; Ciharova, Marketa ; van Breda, Ward ; Kwon, Sam ; Larsen, Mark Erik ; Torous, John ; Firth, Joseph ; Sander, Lasse

Further information

• DOI: 10.1038/s44184-024-00089-4
• URN: urn:nbn:de:bsz:25-freidok-2572520
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 25.03.2025, 1:52 PM CET