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

机译:采用技术倡议的协作老化研究:研究界的开放,可批准,技术无关的平台

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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.
机译:简介:未来数字健康研究涉及进行远程临床评估和家庭监测的方法。使用技术(推车)倡议的协作老化研究是建立了一个数字技术研究平台,可以广泛评估老年人各种队列的家庭活动,并纵向检测有意义的变化。本文报告了购物车平台,其功能和由此产生的研究能力的内向端设计。方法:Cart平台开发遵循原则设计过程,旨在可扩展性,使用案例灵活性,寿命和数据隐私保护,同时允许可灌注度。包括环境技术,可穿戴物品和其他传感器的平台部署在参与者的房屋中,以提供连续,长期(几年)和生态有效数据。从购物车房间收集的数据被安全地发送到研究服务器以进行分析和未来的数据共享。结果:推车系统创建,迭代地测试,并部署到232所房屋,代表美国老年人(N = 301)的四个不同的队列(非洲裔美国,拉丁,低收入,主要是农村居住的退伍军人)。诸如认知(例如,平均每日计算机使用时间= 160-169分钟)的多次测量,物理移动性(例如,房间之间的平均每日过渡),睡眠(例如,平均睡眠持续时间= 6.3-7.4 H)和社会参与水平(例如,过夜访客的报告= 15-45%)被群体收集。结论:购物车倡议导致了最微小的数字健康的系统,符合设计原则,同时允许在延长期间捕获数据,并且可以被研究界广泛使用。在老年人家庭内进行监测和管理健康的能力是许多研究环境中的对方评估的重要替代方案。进一步的进步将在额外的环境中更广泛地,在不同的环境中,在不同的疾病背景下以及各种研究小组中,以额外的设置。
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