不同健康状况人群在线信息搜索行为的解释卡塔尔世界杯8强波胆分析德国代表性横断面调查%A Link,Elena %A Baumann,Eva %A Klimmt,Christoph %+汉诺威音乐、戏剧与传媒大学新闻与传播研究系，博览广场12号，汉诺威30539，德国，49 5113100474，Elena.Link@ijk.hmtm-hannover.de %K在线健康信息寻求行为%K计划风险信息寻求模型%K健康状况%K理论构建%K个人调查%D 2021 %7 10.12.2021 %9原论文%J J Med Internet Res %G英文%X背景:在世界范围内，互联网是一个越来越重要的健康信息渠道。许多理论已经应用于在线健康信息寻求行为(HISBs)的研究中，每个模型都集成了一组不同的预测因子;因此，对(在线)HISB的预测因素仍然缺乏一个共同的理解。解释(在线)HISB的理论的另一个缺点是，到目前为止，大多数现有模型都侧重于非常具体的健康背景，如癌症。因此，我们将计划风险信息寻求模型(Planned Risk Information Seeking Model, PRISM)作为最新整合模型的假设应用于在线HISB研究，因为该模型识别了解释健康信息寻求意愿的一般认知和社会心理因素。我们从单一疾病转向探索在线HISB意向的跨主题模式，并比较有关不同健康状况的预测因子，因为可以假设，认为自己生病或健康的人群在在线HISB的驱动因素方面会有所不同。考虑在线HISB的特殊性和个体环境因素的变化是发展可推广理论的关键。目的:我们研究的目的是促进在线HISB概念在两个领域的发展。 First, this study aimed to explore individual-level predictors of individuals’ online HISB intention by applying the postulates of PRISM. Second, we compared relevant predictors of online HISB in groups of people with different health statuses to identify cross-thematic central patterns of online HISB. Methods: Data from a representative sample of German internet users (n=822) served to explain online HISB intentions and influencing patterns in different groups of people. The applicability of the PRISM to online HISB intention was tested by structural equation modeling and multigroup comparison. Results: Our results revealed PRISM to be an effective framework for explaining online HISB intention. For online HISB, attitudes toward seeking health information online provided the most important explanatory power followed by risk perceptions and affective risk responses. The multigroup comparison revealed differences both regarding the explanatory power of the model and the relevance of predictors of online HISB. The online HISB intention could be better explained for people facing a health threat, suggesting that the predictors adopted from PRISM were more suitable to explain a problem-driven type of information-seeking behavior. Conclusions: Our findings indicate that attitudes toward seeking health information online and risk perceptions are of central importance for online HISB across different health-conditional contexts. Predictors such as self-efficacy and perceived knowledge insufficiency play a context-dependent role—they are more influential when individuals are facing health threats and the search for health information is of higher personal relevance and urgency. These findings can be understood as the first step to develop a generalized theory of online HISB. %M 34890348 %R 10.2196/25963 %U //www.mybigtv.com/2021/12/e25963 %U https://doi.org/10.2196/25963 %U http://www.ncbi.nlm.nih.gov/pubmed/34890348