Understanding Issues Surrounding Technology Uptake and the Influence of Technology and Decision Making in Older Adults

了解有关技术采用的问题以及技术和决策对老年人的影响

• 批准号: 8855870
• 负责人: SARA J CZAJA
• 金额: $ 29.07万
• 依托单位: UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-08-01 至 2020-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8855870
• 关键词: Adopted; Adoption; Adult; Age; Aged, 80 and over; Aging; Attitude; Characteristics; Cognitive; Comprehension; Computer software; Data; Decision Making; Education; Elderly; Employment; Enhancement Technology; Ethnic Origin; Exhibits; Expenditure; Focus Groups; Fostering; Gender; Goals; Guidelines; Health; Health Status; Health financing; Healthcare; Human; Individual; Internet; Intervention; Knowledge; Language; Lead; Learning; Life; Life Style; Link; Modeling; Nature; Newspapers; Occupations; Participant; Performance; Personal Satisfaction; Personality; Phase; Physicians; Play; Process; Psyche structure; Quality of life; Recommendation; Recruitment Activity; Relative (related person); Research; Rewards; Risk; Role; Sampling; Source; Statistical Models; System; Technology; Testing; Trust; Uncertainty; Work; age difference; age group; base; cognitive ability; contextual factors; cost; discount; discounting; eHealth; experience; health care quality; health literacy; high risk; improved; inhibitor/antagonist; insight; mathematical ability; middle age; preference; theories; uptake; web-based social networking; willingness; willingness to pay

Project Summary This project consists of two studies involving older adult decision-making that are linked by the common CREATE goal of understanding how older adults make decisions that can significantly impact the quality of their lives in contexts where technology plays a critical role. Study 1's goal is to understand and thus better predict the decisions older adults make with respect to their willingness to adopt technology applications that hold potentially high value in improving their independence and well-being, but which also require expenditure of cognitive effort to adopt. For example, older adults may need to learn a software application to increase their prospects of finding employment or engage in online self-learning activities such as learning a new language. In Study 1, we will recruit 48 participants into 6 focus groups, in English and Spanish, to identify four such applications across three age groups: young-old (65-74), middle-old (75-84), and old-old (85+). We will then test a model containing five facilitators and inhibitors that are predicted, through their interplay and direct influences, to impact the decisions older adults make regarding pursuit of such technologies using 225 participants, 75 from the three age groups. Self-appraisals related to these facilitator/inhibitor variables will also be elicited. Findings from this study will provide valuable insights into theories and guidelines for technology uptake. Study 2 will comprehensively examine the relative roles of six different sources of health information, characterized from most traditional to least traditional (e.g., newspaper, physician advice versus Internet-based guidance, simulated online social network), in influencing the choices that both younger and older people make with regard to both low and high risk healthcare decisions using four healthcare decision making scenarios. Participants will be asked to provide their most preferred decision option from a list of available options, which will be ranked by the research team, including a physician, from best to worst. For each decision problem scenario, participants will also be asked to choose their most preferred source of information from the six sources, and the number of sources they used to support their decision making process. The study will also examine how these choices are impacted by individual characteristics such as age, cognitive abilities, personality, health literacy, numeracy ability, risk attitude, and trust in information source. Study participants will include 50 younger (20-40 years), 50 middle-aged (41-64 years), and 50 older (65+) adults. Findings from this study can be used to help develop a framework for understanding healthcare decision making among older adults.

项目概要 该项目由两项涉及老年人决策的研究组成，这两项研究通过共同点联系起来 制定目标，了解老年人如何做出可显着影响生活质量的决策 他们的生活在技术发挥着关键作用的环境中。研究 1 的目标是理解并更好地理解 预测老年人就其采用技术应用的意愿做出的决定 在提高他们的独立性和福祉方面具有潜在的高价值，但这也需要支出 采用的认知努力。例如，老年人可能需要学习软件应用程序来提高他们的能力 寻找工作或参与在线自学活动（例如学习新语言）的前景。 在研究 1 中，我们将招募 48 名参与者分成 6 个焦点小组（英语和西班牙语），以确定四个这样的参与者 覆盖三个年龄段的应用：青年老年（65-74岁）、中老年（75-84岁）和老年（85岁以上）。我们随后将 测试包含五个促进剂和抑制剂的模型，通过它们的相互作用和直接作用来预测这些促进剂和抑制剂 第225章 225 参与者共有 75 名，来自三个年龄段。与这些促进/抑制变量相关的自我评价也将 被引出。这项研究的结果将为技术理论和指南提供有价值的见解 吸收。研究 2 将全面考察六种不同健康信息来源的相对作用， 从最传统到最不传统（例如报纸、医生建议与基于互联网的建议） 指导，模拟在线社交网络），影响年轻人和老年人的选择 使用四种医疗保健决策场景进行低风险和高风险医疗保健决策。 参与者将被要求从可用选项列表中提供他们最喜欢的决策选项，其中 将由包括医生在内的研究团队从最好到最差进行排名。对于每个决策问题 场景中，参与者还将被要求从六个信息源中选择他们最喜欢的信息来源 来源，以及他们用于支持决策过程的来源数量。该研究还将 研究这些选择如何受到个人特征（例如年龄、认知能力、 个性、健康素养、计算能力、风险态度和对信息源的信任。研究参与者 将包括 50 名年轻人（20-40 岁）、50 名中年人（41-64 岁）和 50 名老年人（65 岁以上）。调查结果来自 这项研究可用于帮助开发一个框架，以了解老年人的医疗保健决策 成年人。