@文章{信息:doi/10.2196/12278，作者="Kwakernaak, Joyce和Eekhof, Just A H和De Waal, Margot W M和Barenbrug, Elisabeth A M和Chavannes, Niels H"，标题="患者使用互联网寻找关于小病的可靠医疗信息:基于vignette的实验研究"，期刊="J医学互联网研究"，年="2019"，月="11"，日="11"，卷="21"，数="11"，页数="e12278"，关键词="互联网;信息寻求行为;消费者健康信息;诊断;人类;背景:对于患者如何在互联网上搜索医疗信息的确切过程以及他们检索到的内容知之甚少。关于浏览小病信息的文献尤其少，小病是指在一般人群中非常常见的无害疾病，因此对医疗保健有重大影响。目的:这项基于小插图的实验研究旨在探索什么样的基于网络的搜索策略被应用，以及搜索策略、人口特征和访问网站的质量如何与找到正确的诊断相关。其他目标是描述在网上搜索如何影响人们对潜在诊断严重程度的看法，以及参与者是否会与他们的医生讨论他们在网上找到的信息。方法:在1372名调查参与者中，随机抽取355人，其中155人被招募并分配到四种临床场景之一。 Each search term they used was classified as one of three search strategies: (1) hypothesis testing, (2) narrowing within the general hypothesis area, and (3) symptom exploration. The quality of the websites used was determined by using the DISCERN instrument. To compare the diagnostic accuracy of the participants before and after the internet search, a McNemar test was used. Chi-square tests were used to describe which factors are related to the chosen search strategy. A multivariate binary logistic regression model was constructed to predict which factors are related to finding a sound diagnosis after searching the internet for health information. Results: Most participants (65.8{\%}, 102/155) used the symptom exploration strategy. However, this depends on the assigned scenario (P<.001) and the self-estimated severity score of the symptoms before the internet search (P=.001). A significant relation was found between choosing an accurate diagnosis and age (odds ratio [OR] 0.94, 95{\%} CI 0.90 to 0.98) and the clinical scenario, as well as the use of high-quality websites (OR 7.49, 95{\%} CI 1.85 to 30.26). Browsing the internet did not lead to a statistically significant change in participants' beliefs about the severity of the condition (McNemar test, P=.85). Most participants (65{\%}) shared their retrieved information with their physician and most of them (75{\%}) received a positive response. Conclusions: Our findings suggest that most patients use a symptom-based approach; however, if patients expect the potential diagnosis to be severe, they tend to use a hypothesis verification strategy more often and are therefore prone to certain forms of bias. In addition, self-diagnosing accuracy is related to younger age, the symptom scenario, and the use of high-quality websites. We should find ways to guide patients toward search strategies and websites that may more likely lead to accurate decision making. ", issn="1438-8871", doi="10.2196/12278", url="//www.mybigtv.com/2019/11/e12278/", url="https://doi.org/10.2196/12278", url="http://www.ncbi.nlm.nih.gov/pubmed/31710304" }