The application of digital phenotyping in the warning of recurrence for patients with bipolar disorder：a scoping review

doi:10.3761/j.issn.0254-1769.2026.12.017

Abstract

Abstract:

Objective To conduct a scoping review of the application of digital phenotyping in the early warning of relapse in patients with bipolar disorder，and to provide a reference for future research and clinical application. Methods Guided by the Joanna Briggs Institute methodological framework for scoping reviews，a systematic search was performed in PubMed，Embase，CINAHL，Scopus，Web of Science，Cochrane Library，CNKI，Wanfang Database，VIP Database，and CBM from their inception to October 16，2025. The included literature was integrated and analyzed. Results A total of 17 articles were included. Digital phenotyping primarily relies on smartphones and wearable activity tracking devices，employing a hybrid data collection model that collects patients’ behavioral activities，sleep and circadian rhythms，physiological signals，speech acoustic features，communication and social patterns，self-rated emotions，and ambient lighting. Warning triggers include alerts for persistent behavioral deviations，high-risk probability alerts，and composite health index alerts. Some studies reported higher prediction performance indicators and clinical warning periods. Conclusion Digital phenotyping shows potential for application in the early warning of recurrence in patients with bipolar disorder，enabling early and objective identification of recurrence risk. In the future，it is necessary to promote the practical integration of digital phenotyping with nursing work and conduct patient outcome-oriented research.

Key words: Digital Phenotype, Bipolar Disorder, Recurrence Warning, Scoping Review, Nursing Care

摘要：

目的对数字表型在双相情感障碍患者复发预警中的应用研究进行范围综述，为未来研究和临床应用提供参考。方法以澳大利亚乔安娜布里格斯循证卫生保健中心范围综述方法学框架为指导，系统检索PubMed、Embase、CINAHL、Scopus、Web of Science、Cochrane Library、中国知网、万方数据库、维普数据库、中国生物医学文献数据库，检索时限为建库至2025年10月16日，并对数字表型在双相情感障碍患者复发预警中应用的相关文献进行整合分析。结果共纳入17篇文献。数字表型主要依托智能手机与可穿戴活动追踪设备，采用主动报告与被动传感相结合的混合数据采集模式，收集患者的行为活动、睡眠与昼夜节律、生理信号、语音声学特征、通信与社交模式、情绪自评、环境光照等多维数据；预警触发方式包括持续性行为偏离警报、高风险概率警报和综合健康指数警报。部分研究报告了较高的预测性能指标与临床预警提前期。结论数字表型在双相情感障碍患者复发预警中具有应用潜力，可实现早期、客观的复发风险识别，未来需推动数字表型与护理工作的实用化整合，开展以患者结局为导向的研究。

关键词: 数字表型, 双相情感障碍, 复发预警, 范围综述, 护理

LIU Zhiping, ZHANG Mengting, WANG Juzi, HE Min, WU Yifan, HOU Yongchao. The application of digital phenotyping in the warning of recurrence for patients with bipolar disorder：a scoping review[J]. Chinese Journal of Nursing, 2026, 61(12): 1710-1716.

刘志萍, 张梦婷, 王菊子, 贺敏, 吴义凡, 侯永超. 数字表型在双相情感障碍患者复发预警中应用的范围综述[J]. 中华护理杂志, 2026, 61(12): 1710-1716.

Figures/Tables 1

References 32

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