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老年人数字健康素养问卷:工具开发与验证研究

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

作者信息

Wang Xinxin, Zhang Chengrui, Qi Yue, Xing Ying, Liu Yawen, Sun Jiayi, Luan Wei

机构信息

Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Shanghai Jiao Tong University School of Nursing, Shanghai, China.

出版信息

J Med Internet Res. 2025 Mar 19;27:e64193. doi: 10.2196/64193.

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 (χ/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.

摘要

背景

将数字技术融入老年人健康与照护领域,提升了健康及老年照护产品与服务的智能化水平,同时也改变了老年人获取和分享健康信息的方式。评估老年人的数字健康素养(DHL)对于制定针对性干预措施至关重要。

目的

本研究旨在开发并验证一份针对老年人的DHL评估问卷。同时,评估该问卷在中国社区居住老年人中的科学有效性和可行性,为评估他们的DHL水平提供可靠工具。

方法

采用文献综述、焦点小组讨论和德尔菲法构建问卷项目池并进行项目筛选。进行项目分析以进行综合评估,并通过结构效度(探索性因素分析、验证性因素分析、收敛效度和区分效度)、内容效度和效标关联效度评估问卷效度。使用克朗巴哈α系数、分半信度和重测信度分析信度。

结果

该研究纳入了710名参与者。项目分析表明问卷具有较强的区分效度。相关系数分析显示项目与总分的相关系数范围为0.497至0.920(P<0.01)。经过多次探索性因素分析,提取出6个共同因素,累积方差贡献率为73.745%。验证性因素分析表明模型拟合良好(χ/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,增值拟合指数=0.908,塔克-刘易斯指数=0.901,规范拟合指数=0.863)。问卷显示出良好的收敛效度、内容效度和效标关联效度。总克朗巴哈α系数为0.976,各维度克朗巴哈α系数范围为0.819至0.952,表明内部一致性令人满意。此外,问卷总分的重测信度系数为0.925,表明随时间具有良好的稳定性。

结论

本研究通过科学严谨且系统的过程开发了一份专门用于评估老年人DHL的问卷。该问卷具有较强的心理测量学特性,可作为健康专业人员设计个性化干预政策和提升健康服务提供的实证工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7c2/11966078/f4deae2cca5d/jmir_v27i1e64193_fig1.jpg

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