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: 10525655
• 负责人: Sajay Arthanat
• 金额: $ 61.13万
• 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/10525655
• 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; Family; Family Caregiver; Family health status; Family member; Focus Groups; Fostering; Health; Health Professional; Home; Individual; Intervention; Interview; Knowledge; Lead; 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; base; behavior change; care burden; care costs; care recipients; caregiving; cohort; cost; efficacy testing; experience; functional independence; group intervention; high risk; human-robot interaction; implementation fidelity; implementation framework; informal caregiver; innovation; intervention effect; novel; 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/文摘