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 个人会患上阿尔茨海默病和阿尔茨海默病相关痴呆(AD/ADRD)。 患有MCI的人表现出执行广泛的日常活动和经历的困难 社会孤立。调查人员已经开始研究以技术为基础的干预措施，以改善功能 有认知障碍的老年成年人。这些努力大多集中在提供认知能力 训练或康复，但不包括其他方面的功能，如日常活动或 社会参与度。这一阶段(NIH阶段模式)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，开发和评估创新的智能自适应软件 旨在为患有MCI的老年人提供认知和社会支持和参与的一揽子计划。系统 将被设计为适应用户的需求和能力。阶段1，类似于阶段1a，将包括 采访患有MCI的老年人和护理提供者，以收集有关在 日常活动和技术类型支持潜在利益的特点。我们还将评估不同的 系统的特性(例如，自适应接口特性)，采用迭代设计方法 MCI患者的样本。我们预计每个站点将进行两轮可用性测试。第二阶段， 类似于阶段1b，将涉及试点测试，以评估该系统的可行性和可用性，并提供一个 在三个创建站点(N=204)中的每一个都有68名MCI患者，并收集关于 建议的系统的有效性。我们将使用等待列表控件，预置设计(等待列表小组将收到 技术在六个月后，并在12个月时再次评估)。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 培训组成部分中针对的活动、职能独立性和福利、社会 支持/隔离和生活质量将在基线、随机化后6个月和之后进行 等待名单组又要等待6个月。我们还将评估潜在的认知能力变化。我们将进行 在干预后6个月进行访谈，以评估系统的好恶和挑战。我们的目标是 开发一种独特的、高度创新的技术工具，可以为老龄化的个人提供适应性支持 有了MCI，即使认知可能会进一步恶化。作为嵌入式的一部分收集的语音数据 回忆功能将促进对语音和语言产生数据如何 可作为认知衰退的早期指标。该项目将提供关于以下项目可行性的重要信息 使用基于技术的方法支持MCI患者的日常活动和认知 洞察实施以技术为基础的干预措施的障碍。我们还将了解 老年MCI患者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.