%0杂志文章%@ 1438- 8871% I Gunther Eysenbach %V 13% N 3% P e51% T感知威胁和证实:改善基于互联网的健康信息和建议信任预测模型的关键因素a Harris,Peter R % a默然，Elizabeth % a Briggs,Pam %+诺森布里亚大学生命科学学院心理系，诺森伯兰大楼，纽卡斯尔泰恩，NE1 8ST，英国，44 191 2437247,elizabeth.sillence@northumbria.ac.uk %K互联网，信任，电子健康，威胁，恐惧-呼吁，社会认知模型。%D 2011 %7 27.07.2011 %9原始论文%J J医学互联网资源%G英文%X背景:人们在网上寻求健康建议时如何决定使用哪些网站?从电子商务的相关工作中，我们可以假设影响站点信任的一般设计因素是重要的，但在本文中，我们还处理了特定于健康领域的因素的影响。目的:目前的研究旨在(1)评估网络信任的一般测量的析因结构，(2)模拟结果因素如何预测对健康相关网站上发现的建议的信任和采取行动的意愿，(3)测试是否添加来自社会认知模型的变量来捕捉对威胁的反应元素，在线健康风险信息增强了这些结果的预测。方法:参与者被要求回忆他们曾经用来搜索健康相关信息的网站，并在回答在线问卷时想起该网站。该问卷包括一个一般的Web信任问卷和对站点的评估项目，包括威胁评估、信息检查和确证。它是在hungersite.com网站上宣传的。网址是通过雅虎和当地印刷媒体发布的。我们使用主成分分析评估了测量的因子结构，并使用结构方程建模(SEM)和EQS软件对它们预测结果测量的效果进行了建模。 Results: We report an analysis of the responses of participants who searched for health advice for themselves (N = 561). Analysis of the general Web trust questionnaire revealed 4 factors: information quality, personalization, impartiality, and credible design. In the final SEM model, information quality and impartiality were direct predictors of trust. However, variables specific to eHealth (perceived threat, coping, and corroboration) added substantially to the ability of the model to predict variance in trust and readiness to act on advice on the site. The final model achieved a satisfactory fit: χ25 = 10.8 (P = .21), comparative fit index = .99, root mean square error of approximation = .052. The model accounted for 66% of the variance in trust and 49% of the variance in readiness to act on the advice. Conclusions: Adding variables specific to eHealth enhanced the ability of a model of trust to predict trust and readiness to act on advice. %M 21795237 %R 10.2196/jmir.1821 %U //www.mybigtv.com/2011/3/e51/ %U https://doi.org/10.2196/jmir.1821 %U http://www.ncbi.nlm.nih.gov/pubmed/21795237