Neuberger Lindsay, Silk Kami J
a Nicholson School of Communication , University of Central Florida.
b Department of Communication , Michigan State University.
Health Commun. 2016 Jul;31(7):892-902. doi: 10.1080/10410236.2015.1012633. Epub 2015 Dec 23.
This article integrates three uncertainty frameworks (i.e., uncertainty reduction, motivation to reduce uncertainty, predicted outcome value) to examine the relationship between uncertainty and information seeking in the context of health care reform. The study consisted of a pretest to assess model variables, tracking of online information seeking (by monitoring website use), and a posttest. Results indicate predicted outcome value theory is the best predictor of information seeking, which is subsequently associated with greater certainty and information recall. The data suggest uncertainty alone is not enough to motivate information seeking; individuals must perceive information to have appreciable value in order to spend time seeking it. Theoretical and practical applications, as well as avenues for future research, are presented.
本文整合了三个不确定性框架（即不确定性降低、降低不确定性的动机、预测结果值），以检验在医疗改革背景下不确定性与信息寻求之间的关系。该研究包括一项用于评估模型变量的预测试、对在线信息寻求的跟踪（通过监测网站使用情况）以及一项后测试。结果表明，预测结果值理论是信息寻求的最佳预测指标，随后与更高的确定性和信息回忆相关联。数据表明，仅不确定性不足以促使人们寻求信息；个体必须认为信息具有可观的价值，才会花时间去寻求它。文中还介绍了理论和实际应用以及未来研究的方向。
