[开发日语版数字健康素养工具]。

Rina Miyawaki, Mio Kato, Yoko Kawamura, Hirono Ishikawa, Koichiro Oka
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The Japanese version of the DHLI, attributes, sources of health information, contents of health information taken from the Internet, and eHealth Literacy Scale (eHEALS) scores were obtained using a questionnaire. Confirmatory factor analysis and correlation with eHEALS scores were used to assess construct and criterion validities. Cronbach's alpha and correlation coefficients were computed for internal consistency and test-retest reliability. Differences in DHLI scores for each attribute and variables related to health information were examined using the analysis of variance and t-test.Results Confirmatory factor analysis revealed a goodness-of-fit index of .946, a comparative fit index of .969, and a root mean square error of approximation of .054, confirming that the Japanese version has the same seven-factor structure as the original version does. A significant positive correlation was found between DHLI and eHEALS scores (r=.40, P<.001). 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引用次数: 0

摘要

目标 互联网使搜索、获取、传输和共享信息成为可能。因此,使用健康信息的能力和与互联网互动相关的技能在医疗和健康领域变得非常重要。然而,目前还没有一个量表来评估这些能力。因此,本研究对数字健康素养量表(DHLI)的有效性和可靠性进行了评估,并研究了数字健康素养(DHL)与研究对象特征的关联。研究对象包括2000名日本成年人(男性:50.0%,平均年龄:40.7±12.0岁),他们对一项基于互联网的横断面调查做出了回应。通过问卷调查获得了日文版 DHLI、属性、健康信息来源、从互联网获取的健康信息内容以及电子健康素养量表(eHEALS)的得分。采用确认性因子分析和与 eHEALS 分数的相关性来评估构建有效性和标准有效性。计算了内部一致性和测试-再测试可靠性的克朗巴赫α系数和相关系数。结果 证实性因子分析显示拟合优度指数为 0.946,比较拟合指数为 0.969,近似均方根误差为 0.054,证实日文版与原版具有相同的七因子结构。在 DHLI 和 eHEALS 分数之间发现了明显的正相关(r=.40,P<0.05)。
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[Developing a Japanese version of the Digital Health Literacy Instrument].

Objectives The Internet has made it possible to search for, obtain, transmit, and share information. Accordingly, the ability to use health information and skills related to interactivity taken from the Internet have become important in the medical and health fields. However, there is no scale to evaluate these abilities. Therefore, this study was conducted to assess the validity and reliability of the Digital Health Literacy Instrument (DHLI) and examine the association of digital health literacy (DHL) with the characteristics of the study participants.Methods The Japanese version of the DHLI was developed using the basic guidelines for scale translation. The participants included 2,000 Japanese adults (men: 50.0%, mean age: 40.7±12.0 years) who responded to an Internet-based cross-sectional survey. The Japanese version of the DHLI, attributes, sources of health information, contents of health information taken from the Internet, and eHealth Literacy Scale (eHEALS) scores were obtained using a questionnaire. Confirmatory factor analysis and correlation with eHEALS scores were used to assess construct and criterion validities. Cronbach's alpha and correlation coefficients were computed for internal consistency and test-retest reliability. Differences in DHLI scores for each attribute and variables related to health information were examined using the analysis of variance and t-test.Results Confirmatory factor analysis revealed a goodness-of-fit index of .946, a comparative fit index of .969, and a root mean square error of approximation of .054, confirming that the Japanese version has the same seven-factor structure as the original version does. A significant positive correlation was found between DHLI and eHEALS scores (r=.40, P<.001). Cronbach's alpha was .92, and test-retest reliability was r=.88 (P<.001). DHLI scores were mainly associated with household income, health status, frequency of information searches on the Internet, and devices used. The subscale scores found difficulties in evaluating reliability, determining relevance, and adding self-generated content. Differences in DHL were observed among some sources and contents of health information on the Internet.Conclusion The Japanese version of the DHLI was a sufficiently reliable and valid instrument for assessing DHL among Japanese adults. Our results suggest that low DHL may lead to health information disparities. Therefore, it is necessary to consider support strategies for individuals who need to improve their DHL and for skills that need to be strengthened.

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