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 对于患有阿尔茨海默氏病（IAD）的个体患者而言，这是非常有益的和有意义的。 在家延长时间有助于保留他们的记忆，空间意识和社会情感 连接。同时，Unue Care Burnen被强加了，与高率有关 家庭护理人员的抑郁和焦虑。虽然搬迁到长期护理是一种选择，但 辅助生活和护士住宅的年度费用令人震惊，这会产生重大 对家庭的财务约束。新颖的技术解决方案非常需要促进 IAD到现实年龄的独立性，健康和安全。为了满足这一需求，我们建议开发 智能家庭的社交辅助机器人（SAR）称为移动辅助机器人，并具有智能感应 （火星）。我们创新的SAR将：a）有四种证据支持的护理方式 参与和援助，远程医疗，家庭安全和护理人员的接收者连接；和b）a 培训计划使非技术专家（护理人员，家庭成员或卫生专家）能够 扩展和编程与IAD疾病严重程度和环境相吻合的方式。 火星将根据NIH阶段开发模型开发和测试。 我们已经对MARSS（IA阶段）进行了基于实验室的模型进行了试验。现在我们的优先事项是试点测试 社区中的技术（拥有8个IAD和护理人员），并验证其实施忠诚度， 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）。为了解决AIM II（第三阶段），我们将进行18个月的随机对照试验 验证火星的实际效率。我们将在两个交错的IAD群体中招募60个二元组 护理人员并将其随机分配给干预措施（n = 30）或对照组（n = 30）。我们将聚集 重复衡量IAD功能独立性，安全性以及身体和认知健康的数据， 照顾者的护理人员伯恩（Care Burnen），自​​主权和福祉，超过了九个数据点，相隔2个月。 为了考虑以机制为重点的变更，我们将客观地收集有关该技术利用的数据 逗弄火星方式对干预结果的影响。除了很多 关于基于广告的SAR的所需经验证据，这些发现将有助于创建和测试知识 高级但务实的技术解决方案，以加强IAD的地面老化。