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

项目摘要 该项目由两项研究组成，这两项研究涉及老年人的决策，这两项研究通过共同的 创建目标，了解老年人如何做出可显著影响质量的决策 他们生活在技术发挥关键作用的环境中。学习一：S的目标是了解并因此更好地 预测老年人对采用以下技术应用程序的意愿做出的决定 在提高他们的独立性和幸福感方面具有潜在的高价值，但也需要支出 认知上的努力去领养。例如，老年人可能需要学习一种软件应用程序来增加他们的 就业前景或从事在线自学活动，如学习一门新语言。 在研究1中，我们将招募48名参与者，分成6个焦点小组，用英语和西班牙语确定四个这样的小组 适用于三个年龄段：青年(65-74岁)、中老年(75-84岁)和老年(85岁以上)。到时候我们会的 测试包含五个促进者和抑制者的模型，这些促进者和抑制者通过相互作用和直接作用进行预测 影响，以影响老年人使用225进行此类技术的决策 参与者，75人，来自三个年龄段。与这些促进者/抑制者变量相关的自我评估也将 被引诱。这项研究的发现将为技术的理论和指导方针提供有价值的见解 领悟。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的特征(例如，报纸、医生建议与基于互联网的 指导，模拟在线社交网络)，影响年轻人和老年人做出的选择 关于使用四种医疗决策场景的低风险和高风险医疗决策。 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， 将由研究团队，包括一名医生，从最好到最差进行排名。对于每个决策问题 在情景中，参与者还将被要求从六个信息来源中选择他们最喜欢的信息来源 来源，以及他们用来支持其决策过程的来源的数量。这项研究还将 考察这些选择如何受到年龄、认知能力、 个性、健康素养、计算能力、风险态度、对信息来源的信任。研究参与者 将包括50名年轻人(20-40岁)、50名中年人(41-岁)和50名老年人(65岁以上)。调查结果来自 这项研究可以帮助开发一个框架，以了解老年人的医疗决策 成年人。

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.