@Article{信息:doi 10.2196 / / jmir。5496，作者="Se{\c{c}}kin, G{\ u}l and Yeatts, Dale and Hughes, Susan and Hudson, Cassie and Bell, Valarie"，标题="在全国互联网用户样本中成为健康信息的知情消费者和电子健康素养评估:e-HLS仪器的有效性和可靠性"，期刊="J Med Internet Res"，年="2016"，月="7月"，日="11"，卷="18"，数="7"，页数="e161"，关键词="健康素养;卫生信息技术;互联网;信息;背景:互联网以其提供超越时间和空间障碍的信息的能力，继续改变人们在自己的生活中寻找和应用信息的方式。随着当前电子健康信息来源的爆炸式增长，包括数千个网站和数百个手机健康应用程序，电子健康素养在健康和医学研究中日益突出。电子卫生素养的一个重要方面是评估有助于日常卫生保健决策的信息质量的能力。健康信息寻求者通过从健康网站、博客、基于网络的论坛、社交网站和广告收集信息来探索他们的护理选择，尽管事实上互联网上的信息质量差异很大。尽管如此，在建立多维工具方面，研究仍然落后，部分原因是卫生知识普及本身的结构不断发展。 Objective: The purpose of this study was to examine psychometric properties of a new electronic health literacy (ehealth literacy) measure in a national sample of Internet users with specific attention to older users. Our paper is motivated by the fact that ehealth literacy is an underinvestigated area of inquiry. Methods: Our sample was drawn from a panel of more than 55,000 participants maintained by Knowledge Networks, the largest national probability-based research panel for Web-based surveys. We examined the factor structure of a 19-item electronic Health Literacy Scale (e-HLS) through exploratory factor analysis (EFA) and confirmatory factor analysis, internal consistency reliability, and construct validity on sample of adults (n=710) and a subsample of older adults (n=194). The AMOS graphics program 21.0 was used to construct a measurement model, linking latent factors obtained from EFA with 19 indicators to determine whether this factor structure achieved a good fit with our entire sample and the subsample (age ≥ 60 years). Linear regression analyses were performed in separate models to examine: (1) the construct validity of the e-HLS and (2) its association with respondents' demographic characteristics and health variables. Results: The EFA produced a 3-factor solution: communication (2 items), trust (4 items), and action (13 items). The 3-factor structure of the e-HLS was found to be invariant for the subsample. Fit indices obtained were as follows: full sample: $\chi$2 (710)=698.547, df=131, P<.001, comparative fit index (CFI)=0.94, normed fit index (NFI)=0.92, root mean squared error of approximation (RMSEA)=0.08; and for the older subsample (age ≥ 60 years): $\chi$2 (194)=275.744, df=131, P<.001, CFI=0.95, NFI=0.90, RMSEA=0.08. Conclusions: The analyses supported the e-HLS validity and internal reliability for the full sample and subsample. The overwhelming majority of our respondents reported a great deal of confidence in their ability to appraise the quality of information obtained from the Internet, yet less than half reported performing quality checks contained on the e-HLS. ", issn="1438-8871", doi="10.2196/jmir.5496", url="//www.mybigtv.com/2016/7/e161/", url="https://doi.org/10.2196/jmir.5496", url="http://www.ncbi.nlm.nih.gov/pubmed/27400726" }