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智能技术延缓衰老和减少残疾(STAReD):一项随机实用临床试验的研究方案。

Smart Technology for Aging and Reducing Disability (STAReD): Study protocol for a randomized pragmatic clinical trial.

机构信息

Department of Occupational Therapy, College of Health Sciences, University of Missouri.

School of Social Work, College of Health Sciences, University of Missouri.

出版信息

Contemp Clin Trials. 2024 Mar;138:107461. doi: 10.1016/j.cct.2024.107461. Epub 2024 Jan 26.

Abstract

BACKGROUND

There is a critical need to improve quality of life for community-dwelling older adults with disabilities. Prior research has demonstrated that a smart, in-home sensor system can facilitate aging in place for older adults living in independent living apartments with care coordination support by identifying early illness and injury detection. Self-management approaches have shown positive outcomes for many client populations. Pairing the smart, in-home sensor system with a self-management intervention for community-dwelling older adults with disabilities may lead to positive outcomes.

METHODS

This study is a prospective, two-arm, randomized, pragmatic clinical trial to compare the effect of a technology-supported self-management intervention on disability and health-related quality of life to that of a health education control, for rural, community-dwelling older adults. Individuals randomized to the self-management study arm will receive a multidisciplinary (nursing, occupational therapist, and social work) self-management approach coupled with the smart-home sensor system. Individuals randomized to the health education study arm will receive standard health education coupled with the smart-home sensor system. The primary outcomes of disability and health-related quality of life will be assessed at baseline and post-intervention. Generalizable guidance to scale the technology-supported self-management intervention will be developed from qualitatively developed exemplar cases.

CONCLUSION

This study has the potential to impact the health and well-being of rural, community-dwelling older adults with disabilities. We have overcome barriers including recruitment in a rural population and supply chain issues for the sensor system. Our team remains on track to meet our study aims.

摘要

背景

提高残疾的社区居住老年人的生活质量至关重要。先前的研究表明,智能家庭传感器系统通过识别早期疾病和伤害检测,可以为居住在独立生活公寓的老年人提供护理协调支持,从而促进他们就地养老。自我管理方法已为许多客户群体带来了积极的结果。将智能家庭传感器系统与残疾的社区居住老年人的自我管理干预措施相结合,可能会带来积极的结果。

方法

这是一项前瞻性、双臂、随机、实用临床试验,旨在比较技术支持的自我管理干预对残疾和健康相关生活质量的影响与健康教育对照的影响,对象是农村社区居住的老年残疾人。随机分配到自我管理研究组的个体将接受多学科(护理、职业治疗师和社会工作)自我管理方法,并结合智能家居传感器系统。随机分配到健康教育研究组的个体将接受标准健康教育,并结合智能家居传感器系统。残疾和健康相关生活质量的主要结果将在基线和干预后进行评估。将从定性开发的范例案例中开发出可推广的技术支持的自我管理干预措施指南。

结论

这项研究有可能影响农村社区居住残疾老年人的健康和福祉。我们克服了包括在农村人口中招募以及传感器系统供应链问题等障碍。我们的团队仍在按计划实现我们的研究目标。

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CAPABLE program improves disability in multiple randomized trials.CAPABLE项目在多项随机试验中改善了残疾状况。
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Linguistic summarization of in-home sensor data.家庭传感器数据的语言总结。
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