Project 2: Technology Support for Cognition and Social Engagement for Aging Adults with Mild Cognitive Impairment (MCI)

项目摘要 目前，65岁以上的成年人中有15-20%患有轻度认知障碍（MCI），其中很大一部分人患有轻度认知障碍。 个体将发展为阿尔茨海默病和阿尔茨海默病相关痴呆（AD/ADRD）。 MCI患者表现出难以进行广泛的日常活动和体验 社会孤立调查人员已经开始研究基于技术的干预措施，以改善功能 有认知障碍的老年人。这些努力大多集中在提供认知 训练或康复，不包括日常活动等其他功能方面， 社会参与这个第一阶段（NIH阶段模型）干预开发跨站点项目的目标是 使用以用户为中心的设计方法开发并评估创新的智能自适应软件 该计划旨在为MCI老年人提供认知和社会支持和参与。系统 将根据用户的需求和能力进行设计。第一阶段，类似于第1a阶段，将涉及 与MCI和护理提供者的老年人进行访谈，以收集有关 日常活动和技术类型支持潜在利益的特征。我们还将评估不同的 系统的特征（例如，自适应界面功能），采用迭代设计方法， MCI患者的样本。我们预计每个网站进行两轮可用性测试。第二阶段， 类似于第1b阶段，将进行试点测试，以评估系统的可行性和可用性， 在三个CREATE研究中心的每一个研究中心，68名MCI患者（N=204），并收集关于MCI的初步数据。 建议系统的有效性。我们将使用一个waitlist控件，前后期设计（waitlist组将收到 6个月后进行技术评估，12个月后再次评估）。一系列措施，包括 人口统计信息、对技术的态度、平板电脑熟练程度、技术体验、性能 培训内容、职能独立和福祉、社会 支持/隔离和生活质量将在基线、随机化后6个月和 等待名单上的人再等6个月。我们还将评估潜在的认知能力变化。我们会进行 干预后6个月进行访谈，以评估系统的喜好、厌恶和挑战。我们的目标是 开发一种独特的、高度创新的技术工具，为老年人提供适应性支持 即使认知可能会进一步恶化。语音数据作为嵌入式 回忆功能将推进语音和语言生产数据如何 作为认知能力下降的早期指标。该项目将提供关于以下可行性的重要信息： 使用基于技术的方法来支持MCI患者的日常活动和认知， 深入了解实施技术干预措施的障碍。我们还将了解 MCI老年人在日常活动中遇到的挑战。

Project Summary Currently 15-20% of adults aged 65+ have Mild Cognitive Impairment (MCI) and a large percentage of these individuals will develop Alzheimer's Disease and Alzheimer's Disease Related Dementias (AD/ADRD). Individuals with MCI demonstrate difficulties performing a wide range of everyday activities and experience social isolation. Investigators have begun to look at technology-based interventions to improve the functioning of aging adults with cognitive impairment. Most of these efforts have focused on the provision of cognitive training or rehabilitation and have not included other aspects of functioning such as everyday activities or social engagement. The goal of this Stage 1 (NIH Stage Model) Intervention Development cross-site project is to develop, using a user-centered design approach, and evaluate an innovative intelligent adaptive software package aimed at providing cognitive and social support and engagement to older adults with MCI. The system will be designed to adapt to the needs and abilities of the user. Phase 1, akin to Stage 1a, will involve interviews with aging adults with MCI and care providers to gather information on challenges encountered in everyday activities and types of technology support features of potential benefit. We will also evaluate different features of the system (e.g., adaptive interface features), with an iterative design approach with diverse samples of individuals with MCI. We anticipate conducting two rounds of usability testing per site. Phase 2, akin to Stage 1b, will involve pilot testing to evaluate the feasibility and usability of the system with a sample of 68 individuals with MCI at each of the three CREATE sites (N=204) and to gather preliminary data on the efficacy of the proposed system. We will use a waitlist control, pre-post design (waitlist group will receive the technology after six months and assessed again at 12 months). A battery of measures that includes demographic information, attitudes towards technology, tablet proficiency, technology experience, performance of activities targeted in the training components, functional independence and well-being, social support/isolation, and quality of life will be administered at baseline, 6 months post randomization, and after another 6 months for the waitlist group. We will also assess potential cognitive ability changes. We will conduct interviews 6-month post intervention to assess likes, dislikes, and challenges with the system. Our goal is to develop a unique and highly innovative technology tool that can provide adaptive support to aging individuals with MCI, even as cognition might deteriorate further. Speech data collected as part of an embedded reminiscence feature will advance fundamental knowledge of how speech and language production data might serve as an early indicator of cognitive decline. The project will yield important information on the feasibility of using technology-based approaches to support everyday activities and cognition for persons with MCI and insight on barriers to the implementation of technology-based interventions. We will also gain understanding of the challenges aging adults with MCI encounter in everyday activities.