Suppr超能文献

智能手机和可穿戴设备作为理解症状机制的一种方法。

Smartphones and Wearables as a Method for Understanding Symptom Mechanisms.

作者信息

Griffin Benjamin, Saunders Kate E A

机构信息

Wadham College Oxford, Oxford, United Kingdom.

Department of Psychiatry, Oxford University, Warneford Hospital, Oxford, United Kingdom.

出版信息

Front Psychiatry. 2020 Jan 17;10:949. doi: 10.3389/fpsyt.2019.00949. eCollection 2019.

Abstract

While psychological treatments have been shown to be effective in treating psychiatric disorders, the mechanism of their therapeutic effect is less well understood. An improved mechanistic understanding of psychiatric disorders and their treatments would enable refinement of existing interventions, and more targeted intervention and the development of new treatments. A major limitation in understanding the mechanism of effect in psychological treatments has been the challenge of capturing what happens outside of the clinical setting. The development of new digital technologies such as smartphones and wearables enables much more inter-session data to be collected. The rapid evolution of smartphones and wearable technologies, combined with the ubiquity of mobile networks means that is possible for patients to provide regular, longitudinal, and high-resolution data. This allows a previously inaccessible and untapped stream of a specific patient's behaviours, moods, activities, and thoughts to be quantified. Monitoring through such technologies may be of therapeutic value, improving self-awareness and promoting mentalization. Smartphones and wearable technologies can also be used to delivered therapies remotely. Digital technologies enable new insights to be gained into the lived experience of mental disorder enabling current treatments to be refined and personalised, as well as generating new targets for future treatment development. In this article we discuss how such technologies are improving our understanding of psychiatric disorder, informing psychological treatments before considering the future potential of such technologies. We will also consider the challenges and ethical concerns of such approaches.

摘要

虽然心理治疗已被证明对治疗精神疾病有效,但其治疗效果的机制却鲜为人知。对精神疾病及其治疗方法的机制有更深入的了解,将有助于改进现有干预措施,进行更有针对性的干预,并开发新的治疗方法。理解心理治疗效果机制的一个主要限制是难以捕捉临床环境之外发生的情况。智能手机和可穿戴设备等新数字技术的发展,使得能够收集更多的疗程间数据。智能手机和可穿戴技术的迅速发展,再加上移动网络的普及,意味着患者有可能提供定期、纵向和高分辨率的数据。这使得以前无法获取和未被利用的特定患者的行为、情绪、活动和思想流能够被量化。通过这些技术进行监测可能具有治疗价值,提高自我意识并促进心理化。智能手机和可穿戴技术还可用于远程提供治疗。数字技术使我们能够对精神障碍的生活体验有新的认识,从而改进和个性化当前的治疗方法,并为未来治疗的发展产生新的靶点。在本文中,我们将讨论这些技术如何增进我们对精神疾病的理解,为心理治疗提供信息,然后再考虑这些技术的未来潜力。我们还将考虑这些方法所面临的挑战和伦理问题。

相似文献

4
Acceptance of Digital Health Technologies in Palliative Care Patients.姑息治疗患者对数字健康技术的接受情况。
Palliat Med Rep. 2024 Jan 12;5(1):34-42. doi: 10.1089/pmr.2023.0062. eCollection 2024.
6
Wearables and the medical revolution.可穿戴设备与医学革命。
Per Med. 2018 Sep;15(5):429-448. doi: 10.2217/pme-2018-0044. Epub 2018 Sep 27.
7
The application of mHealth to mental health: opportunities and challenges.移动健康在心理健康领域的应用:机遇与挑战。
Lancet Psychiatry. 2015 Oct;2(10):942-8. doi: 10.1016/S2215-0366(15)00268-0. Epub 2015 Sep 29.
8
Wearable Technologies and Stress: Toward an Ethically Grounded Approach.可穿戴技术与压力:迈向基于伦理的方法。
Int J Environ Res Public Health. 2023 Sep 11;20(18):6737. doi: 10.3390/ijerph20186737.

引用本文的文献

9
Digital Phenotyping in Livestock Farming.畜牧养殖中的数字表型分析
Animals (Basel). 2021 Jul 5;11(7):2009. doi: 10.3390/ani11072009.

本文引用的文献

1
Digital biomarkers of cognitive function.认知功能的数字生物标志物。
NPJ Digit Med. 2018 Mar 28;1:10. doi: 10.1038/s41746-018-0018-4. eCollection 2018.
7
Detecting Bipolar Depression From Geographic Location Data.从地理位置数据中检测双相抑郁症
IEEE Trans Biomed Eng. 2017 Aug;64(8):1761-1771. doi: 10.1109/TBME.2016.2611862. Epub 2016 Oct 25.
9
Mood instability: significance, definition and measurement.情绪不稳定:意义、定义与测量
Br J Psychiatry. 2015 Oct;207(4):283-5. doi: 10.1192/bjp.bp.114.158543.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验