Ball Hannah, Eisner Emily, Ainsworth John, Bagg Eloise, Beattie Louise, Cella Matteo, Chalmers Natalie, Clifford Sybil, Drake Richard J, Faulkner Sophie, Greenwood Kathryn, Gumley Andrew, Haddock Gillian, Kendall Kimberley M, Kenny Alex, Lees Jane, Lewis Shôn, Maclean Laura, Nicholas Jennifer, O'Hare Kathryn, Oluwatayo Anuoluwapo, Punchihewa Sandapa, Richardson Cara, Richardson Leonie, Schwannauer Matthias, Sherborne Joseph, Turner Rebecca, Vogel Evelin, Walters James, Warner Alice, Wilson Paul, Wykes Til, Zahid Uzma, Zhang Xiaolong, Bucci Sandra
Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, School of Health Sciences, Manchester, United Kingdom.
Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom.
Schizophr Bull. 2025 May 7. doi: 10.1093/schbul/sbaf043.
Digital remote monitoring (DRM) captures service users' health-related data remotely using devices such as smartphones and wearables. Data can be analyzed using advanced statistical methods (eg, machine learning) and shared with clinicians to aid assessment of people with psychosis' mental health, enabling timely intervention. Such methods show promise in detecting early signs of psychosis relapse. However, little is known about clinicians' views on the use of DRM for psychosis. This study explores multi-disciplinary staff perspectives on using DRM in practice.
Fifty-nine mental health professionals were interviewed about their views on DRM in psychosis care. Interviews were analyzed using reflexive thematic analysis. Study Results: Five overarching themes were developed, each with subthemes: (1) the perceived value of digital remote monitoring; (2) clinicians' trust in digital remote monitoring (3 subthemes); (3) service user factors (2 subthemes); (4) the technology-service user-clinician interface (2 subthemes); and (5) organizational context (2 subthemes).
Participants saw the value of using DRM to detect early signs of relapse and to encourage service user self-reflection on symptoms. However, the accuracy of data collected, the impact of remote monitoring on therapeutic relationships, data privacy, and workload, responsibility and resource implications were key concerns. Policies and guidelines outlining clinicians' roles in relation to DRM and comprehensive training on its use are essential to support its implementation in practice. Further evaluation regarding the impact of digital remote monitoring on service user outcomes, therapeutic relationships, clinical workflows, and service costs is needed.
数字远程监测（DRM）使用智能手机和可穿戴设备等远程获取服务使用者与健康相关的数据。数据可通过先进的统计方法（如机器学习）进行分析，并与临床医生共享，以辅助评估精神病患者的心理健康状况，实现及时干预。这些方法在检测精神病复发的早期迹象方面显示出前景。然而，对于临床医生对DRM用于精神病治疗的看法却知之甚少。本研究探讨了多学科工作人员在实践中使用DRM的观点。
对59名心理健康专业人员就其对精神病护理中DRM的看法进行了访谈。采用反思性主题分析法对访谈进行分析。研究结果：确定了五个总体主题，每个主题都有子主题：（1）数字远程监测的感知价值；（2）临床医生对数字远程监测的信任（3个子主题）；（3）服务使用者因素（2个子主题）；（4）技术 - 服务使用者 - 临床医生界面（2个子主题）；以及（5）组织背景（2个子主题）。
参与者认识到使用DRM检测复发早期迹象以及鼓励服务使用者对症状进行自我反思的价值。然而，所收集数据的准确性、远程监测对治疗关系的影响、数据隐私以及工作量、责任和资源问题是关键关注点。概述临床医生在DRM方面作用的政策和指南以及关于其使用的全面培训对于支持其在实践中的实施至关重要。需要进一步评估数字远程监测对服务使用者结果、治疗关系、临床工作流程和服务成本的影响。
