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

基本信息

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
项目类别：
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&apos s Disease Alzheimer&apos 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

项目摘要

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.

项目概要/摘要对于阿尔茨海默病（IAD）患者来说，居家养老是非常有益和有意义的。延长在家时间有助于保留他们的记忆、空间意识和社会情感与此同时，造成了过度的护理负担，并与高比例相关。虽然家庭护理人员的抑郁和焦虑是一种选择，但搬迁到长期护理机构是一种选择。辅助生活和疗养院入院每年费用的惊人增加造成了巨大的损失家庭的财务限制非常需要新颖的技术解决方案来促进。就地养老的独立性、健康和安全为了满足这一需求，我们建议制定一项计划。智能家居社交辅助机器人（SAR），称为具有智能传感的移动辅助机器人 (MARSS)。我们的创新 SAR 将： a) 建立四种有证据支持的护理模式。参与和协助、远程医疗、家庭安全以及护理者与护理接受者的连通性；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）能够根据 IAD 的疾病严重程度和背景对模式进行调整和规划。 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 MARSS 的实验室模型进行了试点测试（第一阶段），现在我们的首要任务是对 MARSS 进行试点测试。社区中的技术（由 8 个 IAD 和护理人员组成）并验证其实施保真度，稳健性以及行为改变技术，以优化 IAD 和护理人员的目标参与度（目标 I-阶段 IB）为了实现目标 II（阶段 III），我们将进行一项为期 18 个月的随机对照试验我们将在 IAD 和 IAD 的两个交错队列中招募 60 名双人组，以验证 MARSS 的现实效果。我们将收集护理人员并将他们随机分配到干预组（n = 30）或对照组（n = 30）。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，以及护理人员在九个数据点上的感知护理负担、自主权和幸福感，这些数据点相隔两个月。为了解释以机制为中心的变化，我们将客观地收集有关技术利用的数据，以梳理出 MARSS 模式对干预结果的影响。需要基于 AD 的 SAR 的经验证据，研究结果将为创建和测试提供知识先进务实的技术方案，强化IAD居家养老。