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

Npj mental health research Pub Date : 2024-09-23 DOI:10.1038/s44184-024-00089-4

Rebekka Büscher, Tanita Winkler, Jacopo Mocellin, Stephanie Homan, Natasha Josifovski, Marketa Ciharova, Ward van Breda, Sam Kwon, Mark E. Larsen, John Torous, Joseph Firth, Lasse B. Sander

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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.

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关于被动感应预测自杀想法和行为的系统综述。

来自智能手机和可穿戴设备的被动感应数据可能有助于改善自杀想法和行为（STB）的预测。在这篇系统性综述中，我们探讨了被动感应对 STB 的可行性和预测有效性。2024 年 6 月 24 日，我们系统地检索了 Medline、Embase、Web of Science、PubMed 和 PsycINFO。只要是调查 STB 与被动传感之间的关联或被动传感在这方面的可行性的研究都符合条件。从 2107 条唯一记录中，我们确定了 11 项预测研究、10 项可行性研究和 7 项协议。研究表明，与主动数据相比，被动数据的模型性能普遍较低，四项研究中有三项发现无增量价值。PROBAST 评级揭示了方法和报告方面的重大缺陷。研究表明，被动传感在高风险人群中是可行的。总之，关于被动感应对 STB 的预测价值的证据有限。我们强调了未来研究的重要质量特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Npj mental health research

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