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利用技术开展协作式衰老研究计划:一个面向研究群体的开放、可共享、技术中立的平台。

The Collaborative Aging Research Using Technology Initiative: An Open, Sharable, Technology-Agnostic Platform for the Research Community.

作者信息

Beattie Zachary, Miller Lyndsey M, Almirola Carlos, Au-Yeung Wan-Tai M, Bernard Hannah, Cosgrove Kevin E, Dodge Hiroko H, Gamboa Charlene J, Golonka Ona, Gothard Sarah, Harbison Sam, Irish Stephanie, Kornfeld Judith, Lee Jonathan, Marcoe Jennifer, Mattek Nora C, Quinn Charlie, Reynolds Christina, Riley Thomas, Rodrigues Nathaniel, Sharma Nicole, Siqueland Mary Alice, Thomas Neil W, Truty Timothy, Wall Rachel, Wild Katherine, Wu Chao-Yi, Karlawish Jason, Silverberg Nina B, Barnes Lisa L, Czaja Sara, Silbert Lisa C, Kaye Jeffrey

机构信息

Oregon Center for Aging & Technology, Oregon Health & Science University, Portland, Oregon, USA.

National Institute on Aging, Layton Aging & Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA.

出版信息

Digit Biomark. 2020 Nov 26;4(Suppl 1):100-118. doi: 10.1159/000512208. eCollection 2020 Winter.

Abstract

INTRODUCTION

Future digital health research hinges on methodologies to conduct remote clinical assessments and in-home monitoring. The Collaborative Aging Research Using Technology (CART) initiative was introduced to establish a digital technology research platform that could widely assess activity in the homes of diverse cohorts of older adults and detect meaningful change longitudinally. This paper reports on the built end-to-end design of the CART platform, its functionality, and the resulting research capabilities.

METHODS

CART platform development followed a principled design process aiming for scalability, use case flexibility, longevity, and data privacy protection while allowing sharability. The platform, comprising ambient technology, wearables, and other sensors, was deployed in participants' homes to provide continuous, long-term (months to years), and ecologically valid data. Data gathered from CART homes were sent securely to a research server for analysis and future data sharing.

RESULTS

The CART system was created, iteratively tested, and deployed to 232 homes representing four diverse cohorts (African American, Latinx, low-income, and predominantly rural-residing veterans) of older adults ( = 301) across the USA. Multiple measurements of wellness such as cognition (e.g., mean daily computer use time = 160-169 min), physical mobility (e.g., mean daily transitions between rooms = 96-155), sleep (e.g., mean nightly sleep duration = 6.3-7.4 h), and level of social engagement (e.g., reports of overnight visitors = 15-45%) were collected across cohorts.

CONCLUSION

The CART initiative resulted in a minimally obtrusive digital health-enabled system that met the design principles while allowing for data capture over extended periods and can be widely used by the research community. The ability to monitor and manage health digitally within the homes of older adults is an important alternative to in-person assessments in many research contexts. Further advances will come with wider, shared use of the CART system in additional settings, within different disease contexts, and by diverse research teams.

摘要

引言

未来的数字健康研究取决于进行远程临床评估和家庭监测的方法。引入了技术辅助协作老龄化研究(CART)计划,以建立一个数字技术研究平台,该平台可以广泛评估不同老年人群体家中的活动,并纵向检测有意义的变化。本文报告了CART平台的端到端设计、其功能以及由此产生的研究能力。

方法

CART平台的开发遵循了一个有原则的设计过程,旨在实现可扩展性、用例灵活性、长期性和数据隐私保护,同时允许数据共享。该平台由环境技术、可穿戴设备和其他传感器组成,部署在参与者家中,以提供连续、长期(数月至数年)且生态有效的数据。从CART家庭收集的数据被安全地发送到研究服务器进行分析和未来的数据共享。

结果

CART系统已创建、经过反复测试并部署到美国各地代表四个不同老年人群体(非裔美国人、拉丁裔、低收入和主要居住在农村的退伍军人)的232个家庭中(n = 301)。收集了多个健康指标的测量数据,如认知(例如,平均每日计算机使用时间 = 160 - 169分钟)、身体活动能力(例如,平均每日房间之间的转换次数 = 96 - 155次)、睡眠(例如,平均夜间睡眠时间 = 6.3 - 7.4小时)以及社交参与程度(例如,过夜访客报告 = 15 - 45%)。

结论

CART计划产生了一个侵入性最小的数字健康系统,该系统符合设计原则,同时允许长时间的数据采集,并且可供研究界广泛使用。在许多研究背景下,在老年人家庭中进行数字健康监测和管理的能力是面对面评估的重要替代方法。随着CART系统在更多环境、不同疾病背景下以及由不同研究团队进行更广泛的共享使用,将会取得进一步的进展。

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