Project 3: Technology Tools for Cognitive Support for Health Management Activities for Aging Adults with and without Mild Cognitive Impairment

项目 3：为有或没有轻度认知障碍的老年人的健康管理活动提供认知支持的技术工具

• 批准号: 10410770
• 负责人: JOSEPH SHARIT
• 金额: $ 60.99万
• 依托单位: WEILL MEDICAL COLL OF CORNELL UNIV
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-15 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10410770
• 关键词: Adopted; Adult; Age; Aging; Area; Artificial Intelligence; Caregiver support; Cognitive; Comprehension; Data Set; Decision Aid; Decision Making; Development; Disease Management; Drug Prescriptions; Education; Effectiveness; Elderly; Enhancement Technology; Ensure; Environment; Ethnic Origin; Evaluation; Expenditure; Face; Goals; Health; Health Expenditures; Health system; Healthcare; Human; Illinois; Impaired cognition; Improve Access; Individual; Individual Differences; Information Services; Insurance; Intelligence; Internet; Interview; Investments; Knowledge; Long-Term Care; Mediation; Mediator of activation protein; Medicare; Participant; Performance; Personal Satisfaction; Persons; Phase; Population Heterogeneity; Process; Protocols documentation; Race; Randomized; Reporting; Research; Resources; Rights; Sampling; Self Management; Services; Site; Source; Structure; System; Task Performances; Techniques; Technology; Training; Work; aging and technology; archive data; archived data; base; behavior observation; care costs; cognitive ability; cognitive load; cognitive task; comparative; cost; design; disability; efficacy evaluation; experience; health literacy; health management; innovation; intelligent personal assistant; iterative design; low socioeconomic status; mathematical ability; medical appointment; mild cognitive impairment; novel; online resource; preference; prevent; skills; sound; task analysis; tool; usability; user centered design; web site

Project Summary Health self-management—gathering, organizing, and acting on health information from a rapidly growing array of online sources of healthcare information—is cognitively challenging for many older adults, especially those with cognitive impairments. The goal for this project is to support the cognitive components of older adults’ health-management activities through development of digital assistant technology tools tailored to three exemplar healthcare management task activities: accessing support services, managing healthcare finances, and using the health-management tools provided by Medicare.gov. This project will leverage the machine- intelligence expertise of our collaborators and our experience in developing and evaluating technologies for supporting the health and wellbeing needs of older adults to harness technology to provide cognitive support to aging adults, including those with Mild Cognitive Impairment (MCI) and lower SES. The project has three aims: 1) identify barriers and facilitators to diverse older adults use of current tools for managing healthcare in the three targeted task activities and provide requirements for technology tools to support these activities; 2) develop highly usable and reliable intelligent digital assistants capable of adapting to a large array of healthcare tasks in each of the three exemplar areas; and 3) evaluate the efficacy of the assistants compared to a usual tool including a digital assistant control (e.g., Google Assistant). The project will be comprised of three phases. Phase 1 will use a multimethod approach across our three study sites to assess the demands and challenges facing diverse older adults in the performance of the three health-management activities. Techniques include structured one-on-one interviews of subject matter experts, cognitive task analysis of existing tools, and process tracing of older adults’ task performance. In Phase 2, we will use the knowledge derived from Phase 1, together with an understanding of older adults’ cognitive capabilities and limitations, and their needs and preferences, to conduct iterative design of the digital assistant tools and evaluate their effectiveness and perceived usability using older adults with and without cognitive impairments and diverse in technology skills. In Phase 3, we will do a comparative assessment of the digital assistant tools for the three health-management activities (4 problems in each domain) by randomizing a cross-site sample of 240 participants, with and without MCI, varying in age, ethnicity/race, SES, and technology experience, to novel tool and control conditions, assessing efficacy and usability of the novel tools. The project will yield important information on how best to design technology aids to provide cognitive support for health decision making.

项目摘要 健康自我管理 - 从迅速增长的阵列中进行，组织和行动 在线医疗保健信息的来源 - 对许多老年人的认知挑战，尤其是那些 有认知障碍。该项目的目标是支持老年人的认知成分 通过开发针对三个的数字助理技术工具开发健康管理活动 示例医疗保健管理任务活动：访问支持服务，管理医疗保健财务， 并使用Medicare.gov提供的健康管理工具。该项目将利用机器 - 我们的合作者的情报专业知识以及我们在开发和评估技术方面的经验 支持老年人的健康和福祉需求，以利用技术提供认知支持 老年人，包括患有轻度认知障碍（MCI）和较低SES的成年人。该项目有三个目标： 1）确定障碍和促进者，以分歧老年人使用当前的工具来管理医疗保健 三个有针对性的任务活动，并提供了支持这些活动的技术工具的要求； 2） 开发高度可用且可靠的智能数字助理，能够适应大量 三个示例区域中的每个领域的医疗任务； 3）评估助手的效率 对于通常的工具，包括数字助理控制（例如Google Assistant）。该项目将完成 三个阶段。第1阶段将在我们的三个研究站点中使用多方法方法来评估需求 以及潜水员老年人在三项健康管理活动中面临的挑战。 技术包括主题专家的结构化一对一访谈，认知任务分析 现有工具以及对老年人任务表现的过程跟踪。在第2阶段，我们将使用知识 源自第1阶段，以及对老年人的认知能力和局限性的了解 他们的需求和偏好，进行数字助理工具的迭代设计并评估他们的 使用或没有认知障碍的老年人，有效性和可用性可用性 技术技能。在第3阶段，我们将对三个数字助理工具进行比较评估 通过随机将240个跨站点样本随机化，健康管理活动（每个域中的4个问题） 参加者和没有MCI的参与者在年龄，种族/种族，SES和技术经验方面有所不同 工具和控制条件，评估新工具的效率和可用性。该项目将产生重要 有关如何最好地设计技术有助于为健康决策提供认知支持的信息。