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智能手机健康评估预防复发(SHARP):迈向全球心理健康的数字解决方案。

Smartphone Health Assessment for Relapse Prevention (SHARP): a digital solution toward global mental health.

作者信息

Rodriguez-Villa Elena, Mehta Urvakhsh Meherwan, Naslund John, Tugnawat Deepak, Gupta Snehil, Thirtalli Jagadisha, Bhan Anant, Patel Vikram, Chand Prabhat Kumar, Rozatkar Abhijit, Keshavan Matcheri, Torous John

机构信息

Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts, USA.

National Institute of Mental Health and Neuro-Sciences, India.

出版信息

BJPsych Open. 2021 Jan 7;7(1):e29. doi: 10.1192/bjo.2020.142.

Abstract

BACKGROUND

Predicting and preventing relapse presents a crucial opportunity and first step to improve outcomes and reduce the care gap for persons living with schizophrenia. Using commercially available smartphones and smartwatches, technology now affords opportunities to capture real-time and longitudinal profiles of patients' symptoms, cognition, physiology and social patterns. This novel data makes it possible to explore relationships between behaviours, physiology and symptoms, which may yield personalised relapse signals.

AIMS

Smartphone Health Assessment for Relapse Prevention (SHARP), an international mental health research study supported by the Wellcome Trust, will inform the development of a scalable and sharable digital health solution to monitor personal risk of relapse. The resulting technology will be studied toward predicting and preventing relapse among individuals diagnosed with serious mental illness.

METHOD

SHARP is a two-phase study with research sites in Boston, Massachusetts, and Bangalore and Bhopal, India. During phase 1, focus groups will be conducted at each study site to collect feedback on the design and features available on mindLAMP, a digital health platform. Individuals with serious mental illness will use mindLAMP for the duration of a year during phase 2.

RESULTS

The results of the research outlined in this protocol will guide the development of technology and digital tools to help address pervasive challenges in global mental health.

CONCLUSIONS

The digital tools developed as a result of this study, and participants' experiences using them, may offer insight into opportunities to expand digital mental health resources and optimize their utilisation around the world.

摘要

背景

预测和预防复发是改善精神分裂症患者治疗效果及缩小照护差距的关键契机和首要步骤。借助市售智能手机和智能手表,技术如今提供了捕捉患者症状、认知、生理和社交模式实时及纵向概况的机会。这些全新数据使得探索行为、生理与症状之间的关系成为可能,而这可能产生个性化的复发信号。

目的

由惠康信托基金会支持的一项国际心理健康研究——预防复发的智能手机健康评估(SHARP),将为开发一种可扩展且可共享的数字健康解决方案提供信息,以监测个人复发风险。所产生的技术将用于研究预测和预防被诊断患有严重精神疾病的个体的复发情况。

方法

SHARP是一项分两阶段的研究,研究地点位于马萨诸塞州波士顿以及印度班加罗尔和博帕尔。在第一阶段,将在每个研究地点开展焦点小组讨论,以收集对数字健康平台mindLAMP的设计和功能的反馈。患有严重精神疾病的个体将在第二阶段使用mindLAMP长达一年。

结果

本方案中概述的研究结果将指导技术和数字工具的开发,以帮助应对全球心理健康领域普遍存在的挑战。

结论

本研究开发的数字工具以及参与者使用这些工具的经验,可能为拓展数字心理健康资源并在全球范围内优化其利用的机会提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b93/8058838/7ec0d3e9dcbf/S2056472420001428_fig1.jpg

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