Digital Health Literacy Questionnaire for Older Adults: Instrument Development and Validation Study.

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2025-03-19 DOI:10.2196/64193
Xinxin Wang, Chengrui Zhang, Yue Qi, Ying Xing, Yawen Liu, Jiayi Sun, Wei Luan
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Abstract

Background: The integration of digital technology into older adult health and care has enhanced the intelligence of health and older adult care products and services while also transforming how seniors acquire and share health information. Assessing older adults' digital health literacy (DHL) is crucial for developing targeted interventions.

Objective: This study aims to develop and validate a DHL assessment questionnaire for older adults. It also seeks to evaluate the questionnaire's scientific validity and feasibility among community-dwelling older adults in China, providing a reliable tool for assessing their level of DHL.

Methods: A literature review, focus group discussions, and the Delphi method were used to construct the questionnaire item pool and perform item screening. Item analysis was conducted for comprehensive evaluation, and questionnaire validity was assessed through construct validity (exploratory factor analysis, confirmatory factor analysis, convergent validity, and discriminant validity), content validity, and criterion-related validity. Reliability was analyzed using Cronbach alpha coefficient, split-half reliability, and test-retest reliability.

Results: The study included 710 participants. Item analysis indicated that the questionnaire had strong discriminant validity. Correlation coefficient analysis showed that the item-total correlation coefficients ranged from 0.497 to 0.920 (P<.01). After multiple exploratory factor analyses, 6 common factors were extracted, with a cumulative variance contribution rate of 73.745%. Confirmatory factor analysis demonstrated a good model fit (χ2/df=2.803, root-mean-square error of approximation=0.071, comparative fit index=0.907, goodness-of-fit index=0.773, incremental fit index=0.908, Tucker-Lewis index=0.901, normed fit index=0.863). The questionnaire demonstrated favorable convergent validity, content validity, and criterion-related validity. The total Cronbach α coefficient was 0.976, with dimension-specific Cronbach α coefficients ranging from 0.819 to 0.952, indicating satisfactory internal consistency. Additionally, the test-retest reliability coefficient for the total questionnaire was 0.925, demonstrating good stability over time.

Conclusions: This study developed a questionnaire specifically designed to assess DHL in older adults through a scientifically rigorous and systematic process. The questionnaire demonstrates strong psychometric properties and can serve as an empirical tool for health professionals to design personalized intervention policies and enhance health service delivery.

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老年人数字健康素养问卷:工具开发与验证研究。
背景:数字技术与老年人健康与护理的融合,增强了健康与老年人护理产品和服务的智能化,同时也改变了老年人获取和共享健康信息的方式。评估老年人的数字健康素养(DHL)对于制定有针对性的干预措施至关重要。目的:本研究旨在开发并验证老年人DHL评估问卷。本研究也试图评估问卷在中国社区居住的老年人中的科学有效性和可行性,为评估他们的DHL水平提供可靠的工具。方法:采用文献法、焦点小组讨论法和德尔菲法构建问卷题库并进行项目筛选。采用项目分析进行综合评价,通过构念效度(探索性因子分析、验证性因子分析、收敛效度、区别效度)、内容效度、标度相关效度评估问卷效度。信度分析采用Cronbach α系数、劈半信度和重测信度。结果:该研究包括710名参与者。项目分析表明,问卷具有较强的判别效度。相关系数分析显示,项目-总量相关系数为0.497 ~ 0.920 (P2/df=2.803,近似均方根误差=0.071,比较拟合指数=0.907,拟合优度指数=0.773,增量拟合指数=0.908,Tucker-Lewis指数=0.901,归一化拟合指数=0.863)。问卷具有良好的收敛效度、内容效度和标准相关效度。总Cronbach α系数为0.976,各维度Cronbach α系数在0.819 ~ 0.952之间,内部一致性较好。总体问卷的重测信度系数为0.925,具有较好的时间稳定性。结论:本研究开发了一份专门设计的问卷,通过科学严谨和系统的过程来评估老年人的DHL。该问卷具有较强的心理测量特性,可作为卫生专业人员设计个性化干预政策和加强卫生服务提供的经验工具。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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