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.

项目摘要/摘要 对阿尔茨海默病(IAD)患者来说，就地老龄化是非常有益和有意义的。 延长在家的时间有助于保存他们的记忆、空间意识和社会情感 关系。与此同时，过度的护理负担被强加，并与较高的 家庭照顾者的抑郁和焦虑。虽然重新安置到长期护理是一种选择，但 随着辅助生活和养老院入院费用的惊人增长，产生了显著的 对这些家庭的经济限制。迫切需要新的技术解决方案来促进 独立、健康、安全的网络成瘾。为了满足这一需求，我们建议制定一项 基于智能家居的社交辅助机器人--智能感知移动辅助机器人 (MARSS)。我们创新的特别工作组将：a)在活动中建立四种有证据支持的护理模式 参与和援助、远程保健、家庭安全和照顾者-照顾者之间的联系；以及b)a) 培训计划，使非技术专家(护理人员、家庭成员或健康专业人员)能够 根据IAD的疾病严重程度和背景，调整和编程这些模式。 MARSS将按照NIH干预开发阶段模型进行开发和测试。 我们已经试行了以实验室为基础的MARSS模型(第一阶段a)。现在我们的首要任务是试运行 社区中的技术(具有8对IAD和照顾者)，并验证其实施的保真度， 稳健性和行为改变技术，以优化iAD和照顾者的目标参与度 (目标I-阶段IB)。针对AIM II(第三阶段)，我们将进行为期18个月的随机对照试验，以 验证MARSS的真实效果。我们将在两个交错的IAD和IAD队列中招募60名双胞胎 并将他们随机分配到干预组(n=30)或对照组(n=30)。我们会齐聚一堂 重复测量IAD的功能独立性、安全性以及身体和认知健康的数据， 以及照顾者感觉到的护理负担、自主性和幸福感超过9个数据点，相隔2个月。 为了考虑以机制为重点的变化，我们将客观地收集有关技术使用的数据，以 梳理出MARSS的模式对干预结果的影响。除了许多 需要关于基于AD的SARS的经验证据，这些发现将为创造和测试提供知识 先进而实用的技术解决方案，以加强内毒症的就地老化。