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

Q1 Computer Science Digital Biomarkers Pub Date : 2020-11-26 eCollection Date: 2020-01-01 DOI:10.1159/000512208
Zachary Beattie, Lyndsey M Miller, Carlos Almirola, Wan-Tai M Au-Yeung, Hannah Bernard, Kevin E Cosgrove, Hiroko H Dodge, Charlene J Gamboa, Ona Golonka, Sarah Gothard, Sam Harbison, Stephanie Irish, Judith Kornfeld, Jonathan Lee, Jennifer Marcoe, Nora C Mattek, Charlie Quinn, Christina Reynolds, Thomas Riley, Nathaniel Rodrigues, Nicole Sharma, Mary Alice Siqueland, Neil W Thomas, Timothy Truty, Rachel Wall, Katherine Wild, Chao-Yi Wu, Jason Karlawish, Nina B Silverberg, Lisa L Barnes, Sara Czaja, Lisa C Silbert, Jeffrey Kaye
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引用次数: 32

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 (n = 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.

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使用技术的协同老龄化研究计划:一个开放的、可共享的、与技术无关的研究社区平台。
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。引入了使用技术的协同老龄化研究(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的家庭活动,并纵向发现有意义的变化。本文报告了构建的端到端CART平台的设计,它的功能,以及由此产生的研究能力。方法:CART平台开发遵循原则性设计流程,旨在实现可扩展性、用例灵活性、寿命和数据隐私保护,同时允许可共享性。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,提供连续、长期(数月至数年)的生态有效数据。从CART家庭收集的数据被安全地发送到一个研究服务器,用于分析和未来的数据共享。结果:CART系统被创建、迭代测试并部署到232个家庭中,这些家庭代表了美国四个不同的老年人群体(非裔美国人、拉丁裔、低收入和主要居住在农村的退伍军人)(n = 301)。健康的多种测量,如认知(例如,平均每天使用电脑的时间= 160-169分钟)、身体活动(例如,平均每天在房间之间转换的时间= 96-155)、睡眠(例如,平均每晚睡眠时间= 6.3-7.4小时)和社会参与水平(例如,过夜访客的报告= 15-45%)在队列中收集。结论:CART倡议产生了一个最小干扰的数字健康启用系统,该系统符合设计原则,同时允许长时间的数据捕获,可被研究界广泛使用。在许多研究背景下,在老年人家中以数字方式监测和管理健康的能力是面对面评估的重要替代方案。随着CART系统在其他环境、不同疾病背景和不同研究团队中得到更广泛的共享使用,将会取得进一步进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Digital Biomarkers
Digital Biomarkers Medicine-Medicine (miscellaneous)
CiteScore
10.60
自引率
0.00%
发文量
12
审稿时长
23 weeks
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