Department of Communication Studies, Texas Christian University, Fort Worth, Texas, USA.
Department of Communication & Media, University of Missouri St. Louis, St. Louis, Missouri, USA.
J Health Commun. 2023 Jun 3;28(6):360-374. doi: 10.1080/10810730.2023.2214097. Epub 2023 Jun 9.
The comprehensive model of information seeking (CMIS) is a well-known framework to predict health information seeking by a combination of health beliefs and medium-related factors. Despite being proposed almost three decades ago, few efforts have been made to systematically summarize CMIS scholarship. To fill this gap in the literature, 36 meta-analyses were first conducted to identify the bivariate relationships between variables in the CMIS. These meta-analytic data were then used to test path models evaluating the role of health beliefs and medium-related factors. The results showed that the models containing only factors related to the communication medium, only health factors, and a modified version of the CMIS fit the data relatively well. The original CMIS did not demonstrate an acceptable model fit. Theoretical and practical implications are discussed.
综合信息寻求模型（CMIS）是一个著名的框架，通过结合健康信念和媒介相关因素来预测健康信息寻求。尽管该模型在近三十年前就已提出，但很少有研究系统地总结 CMIS 文献。为了填补这一文献空白，首先进行了 36 项荟萃分析，以确定 CMIS 中变量之间的二元关系。然后，使用这些荟萃分析数据来测试评估健康信念和媒介相关因素作用的路径模型。结果表明，仅包含与传播媒介相关的因素、仅包含健康因素以及 CMIS 的修改版本的模型相对较好地拟合数据。原始 CMIS 模型则无法很好地拟合数据。讨论了理论和实际意义。
