对老年人使用数字健康工具所需的数字技能进行自我报告测量——数字健康技能测量和准备培训(SMART数字健康)量表。

IF 4.6 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Lina Tieu, Courtney R Lyles, Hyunjin Cindy Kim, Isabel Luna, Jeanette Wong, Naomi Lopez-Solano, Junhong Li, Andersen Yang, Jorge A Rodriguez, Oanh Kieu Nguyen, Alejandra Casillas, Emilia H De Marchis, Anita L Stewart, Torsten B Neilands, Elaine C Khoong
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引用次数: 0

摘要

目的:确定一个简短的量表,以准确评估老年人的数字技能,用于确定支持使用数字健康工具的需求。材料和方法:年龄≥50岁、说英语、西班牙语或粤语的患者完成了评估数字健康获取、使用和技能的调查(n = 186)。一个子样本(n = 101)完成了4项对数字健康技能至关重要的任务能力的观察性任务评估:(1)通过电子邮件/短信超链接发起视频访问,(2)访问特定的健康网站,(3)注册患者门户网站,(4)登录患者门户网站。我们使用探索性因素分析、接收者操作员特征、逻辑回归和优势分析方法来确定和评估衡量使用数字健康工具所必需的数字技能的量表。结果:我们发现9项量表在测量数字技能方面表现出单向度和可靠性(Cronbach's alpha 0.93)。平均得分为19.3分(满分36分)。对于每项任务,讲义/视频支持不足以帮助四分之一的参与者完成任务。我们发现量表预测数字健康能力的准确度很高(曲线下面积0.77-0.88)。讨论:数字健康技能测量和准备培训(SMART数字健康)量表是一种数字技能测量方法,具有可靠性和有效性证据,可作为诊断工具,用于识别需要支持才能使用数字健康工具的患者。结论:这项早期工作支持识别有数字素养需求的患者,他们可能需要干预措施来有效地参与数字健康沟通和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A self-report measure of digital skills needed to use digital health tools among older adults-the Skills Measurement and Readiness Training for Digital Health (SMART Digital Health) Scale.

Objective: To identify a brief scale to accurately assess digital skills among older adults for use in identifying need for support to use digital health tools.

Materials and methods: Patients age ≥50 speaking English, Spanish, or Cantonese completed surveys (n = 186) assessing digital health access, use, and skills. A subsample (n = 101) completed observational task assessments gauging competency on 4 tasks essential to digital health skills: (1) launch a video visit from an email/text message hyperlink, (2) visit a specific health website, (3) sign up for a patient portal, and (4) log in to a patient portal. We used exploratory factor analysis, receiver operator characteristic, logistic regression, and dominance analysis methods to identify and evaluate a scale measuring digital skills essential to using digital health tools.

Results: We found that a 9-item scale demonstrated unidimensionality and reliability (Cronbach's alpha 0.93) in measuring digital skills. Mean score was 19.3 out of 36. For each task, handout/video support was inadequate in facilitating completion for one-quarter of participants. We found high accuracy of the scale in predicting digital health competency (area under the curve 0.77-0.88).

Discussion: The Skills Measurement and Readiness Training for Digital Health (SMART Digital Health) scale is a measure of digital skills with evidence of reliability and validity to be used as a diagnostic tool to identify patients requiring support to use digital health tools.

Conclusion: This early work supports the identification of patients with digital literacy needs who may require interventions to effectively engage in digital health communication and management.

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来源期刊
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association 医学-计算机:跨学科应用
CiteScore
14.50
自引率
7.80%
发文量
230
审稿时长
3-8 weeks
期刊介绍: JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.
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