Effectiveness and adoption of a Smart home-based social assistive robot for care of individuals with Alzheimer's Disease

基于智能家居的社交辅助机器人在护理阿尔茨海默病患者方面的有效性和采用

• 批准号: 10677877
• 负责人: Sajay Arthanat
• 金额: $ 67.5万
• 依托单位: UNIVERSITY OF NEW HAMPSHIRE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-15 至 2027-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10677877
• 关键词: Activities of Daily Living; Address; Admission activity; Adoption; Age; Alzheimer' s Disease; Alzheimer' s disease caregiver; Anxiety; Assisted Living Facilities; Automation; Awareness; Behavior; Behavioral; Behavioral Mechanisms; Caregiver Burden; Caregiver well-being; Caregivers; Caring; Clinical Trials; Cognition; Cognitive; Communities; Control Groups; Data; Educational workshop; Effectiveness; Emotional; Family; Family Caregiver; Family health status; Family member; Focus Groups; Fostering; Health; Health Professional; Home; Individual; Institution; Intervention; Interview; Knowledge; Link; Long-Term Care; Measures; Mediating; Memory; Mental Depression; Modality; Modeling; Monitor; Nursing Homes; Outcome; Outcome Measure; Peer Review; Personal Satisfaction; Pilot Projects; Population; Process; Protocols documentation; Publications; Quality of life; Randomized; Randomized, Controlled Trials; Research; Retirement; Robot; Robotics; Safety; Severity of illness; Stress; Techniques; Technology; Testing; Time; Training; Training Activity; Training Programs; United States National Institutes of Health; Validation; aging in place; assistive robot; behavior change; care burden; care costs; care recipients; caregiving; cohort; community engagement; comparison control; cost; efficacy testing; experience; functional independence; group intervention; high risk; human-robot interaction; implementation fidelity; implementation framework; informal caregiver; innovation; intervention effect; new technology; physical conditioning; pilot test; premature; preservation; primary care setting; primary outcome; programs; recruit; scale up; smart home; social assistive robot; telehealth; theories; therapy development; virtual experiments

Project Summary/Abstract It is highly beneficial and meaningful for individuals with Alzheimer’s disease (IAD) to age-in-place. Prolonging time at home helps preserve their memories, spatial awareness and socio-emotional connections. At the same time, undue care burden is imposed and is associated with high rates of depression and anxiety among family caregivers. While relocation to long term care is an option, the alarming increase in annual costs with assisted living and nursing home admission creates significant financial constraints on the families. There is a significant need for novel technological solutions to promote independence, health, and safety of IAD to age-in-place. To address this need, we propose to develop a smart home-based social assistive robot (SAR) called Mobile Assistive Robot with Smart Sensing (MARSS). Our innovative SAR will: a) have four evidence-supported modalities of care built in- activity engagement and assistance, telehealth, home safety, and caregiver-care recipient connectivity; and b) a training program to enable a non-technology expert (caregiver, family member or health professional) to scale and program the modalities to fit with the disease severity and context of the IAD. MARSS will be developed and tested in accordance to the NIH Stage Model of Intervention Development. We have already pilot-tested a lab-based model of MARSS (Stage Ia). Now our priority is to pilot test the technology in the community (with 8 dyads of IAD and caregivers) and verify its implementation fidelity, robustness as well as behavior change techniques to optimize target engagement of IADs and caregivers (Aim I- Stage IB). To address Aim II (Stage III), we will conduct an 18-month randomized controlled trial to validate the real-world efficacy of MARSS. We will recruit 60 dyads in two staggered cohorts of IAD and caregivers and randomly assign them to the intervention (n=30) or a control group (n=30). We will gather repeated measures data on the IAD’s functional independence, safety, and physical and cognitive health, and the caregiver’s perceived care burden, autonomy and wellbeing over nine data points, 2 months apart. To account mechanism-focused change, we will objectively collect data on the technology’s utilization to tease out the influence of the MARSS’s modalities on the intervention outcomes. In addition to much needed empirical evidence on AD-based SARs, the findings will contribute knowledge to create and test advanced yet pragmatic technological solutions to strengthen aging-in-place of IAD.

项目总结/摘要 对于阿尔茨海默病（IAD）患者来说，就地养老是非常有益和有意义的。 延长在家的时间有助于保持他们的记忆，空间意识和社会情感 连接.与此同时，不适当的护理负担是强加的，并与高发病率有关。 抑郁和焦虑的家庭照顾者。虽然搬迁到长期护理是一种选择， 每年的辅助生活和疗养院入院费用惊人地增加， 对家庭的经济限制。迫切需要新颖的技术解决方案来促进 独立性、健康和安全的网络成瘾对就地养老的影响。为应付这方面的需要，我们建议制定一套 一种基于智能家居的社会辅助机器人（SAR），称为具有智能传感的移动的辅助机器人 （MARSS）。我们的创新SAR将：a）有四种证据支持的护理模式， 参与和援助、远程医疗、家庭安全和患者-护理接受者连接;以及B）a 培训计划，使非技术专家（护理人员、家庭成员或卫生专业人员）能够 规模和程序的方式，以适应疾病的严重程度和网络成瘾的背景。 MARSS将根据NIH干预开发阶段模型进行开发和测试。 我们已经对基于实验室的MARSS（阶段Ia）模型进行了初步测试。现在，我们的首要任务是对 技术在社区（与8个二元组的网络成瘾和照顾者），并验证其实施保真度， 鲁棒性以及行为改变技术，以优化IAD和护理人员的目标参与 (Aim I-阶段IB）。为了实现目标II（第III阶段），我们将进行一项为期18个月的随机对照试验， 验证MARSS在现实世界中的有效性。我们将招募60对夫妇在两个交错队列的IAD和 护理人员，并随机将他们分配到干预组（n=30）或对照组（n=30）。我们将聚集 重复测量有关IAD功能独立性、安全性以及身体和认知健康的数据， 和照顾者的感知照顾负担，自主权和幸福超过9个数据点，间隔2个月。 为了说明以机制为中心的变化，我们将客观地收集有关技术利用率的数据， 梳理出MARSS模式对干预结果的影响。除了许多 需要的经验证据，对广告为基础的SAR，研究结果将有助于知识，创造和测试 先进而实用的技术解决方案，以加强老龄化的地方IAD。