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首页> 外文期刊>Journal of medical Internet research >Online Information-Seeking About Potential Breast Cancer Symptoms: Capturing Online Behavior With an Internet Browsing Tracking Tool
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Online Information-Seeking About Potential Breast Cancer Symptoms: Capturing Online Behavior With an Internet Browsing Tracking Tool

机译:在线信息寻求潜在的乳腺癌症状:用互联网浏览跟踪工具捕获在线行为

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BackgroundPeople engage in health information-seeking online when experiencing unusual or unfamiliar bodily changes. It is not well understood how people consult the internet for health information after the onset of unfamiliar symptoms and before receiving a potential diagnosis and how online information-seeking can help people appraise their symptoms. This lack of evidence may be partly due to methodological limitations in capturing in real time the online information-seeking process.ObjectiveWe explored women’s symptom attribution and online health information-seeking in response to a hypothetical and unfamiliar breast change suggestive of cancer (nipple rash). We also aimed to establish the feasibility of capturing in real time the online information-seeking process with a tool designed to track participant online searches and visited websites, the Vizzata browser tracker.MethodsAn online survey was completed by 56 cancer-free women (mean age 60.34 [SD 7.73] years) responding to a scenario asking them to imagine noticing a red scaly rash on the nipple. Participants were asked to make symptom attributions when presented with the scenario (T1) and again after seeking information online (T2). The online tracking tool, embedded in the survey, was used to capture in real time participant search terms and accessed websites.ResultsThe tracking tool captured the search terms and accessed websites of most of the participants (46/56, 82%). For the rest (10/56, 18%), there was evidence of engagement in online information-seeking (eg, medical terminology and cancer attribution at T2) despite their searching activity not being recorded. A total of 25 participants considered cancer as a potential cause for the nipple rash at T1, yet only one of these used cancer as a search term. Most participants (40/46, 87%) used rash-related search terms, particularly nipple rash and rash on nipple. The majority (41/46, 89%) accessed websites containing breast cancer information, with the National Health Service webpage “Paget disease of the nipple” being the most visited one. At T2, after engaging in the internet search task, more participants attributed the nipple rash to breast cancer than at T1 (37/46, 66% vs 25/46, 45%), although a small number of participants (6/46) changed from making a cancer attribution at T1 to a noncancer one at T2.ConclusionsMaking a cancer attribution for an unfamiliar breast change did not necessarily translate into cancer-termed searches. Equally, not all internet searches led to a cancer attribution. The findings suggest that online information-seeking may not necessarily help women who experience unfamiliar breast cancer symptoms understand their condition. Despite some technical issues, this study showed that it is feasible to use an online browser tracking tool to capture in real time information-seeking about unfamiliar symptoms.
机译:BackgroundPeople在经历异常或不熟悉的身体变革时从事健康信息寻求在线。它尚不清楚人们如何在不熟悉的症状发作后,在接受潜在的诊断和在线信息如何帮助人们评估症状之前,如何在陌生症症状和在线信息诊断后进行健康信息。这种缺乏证据可能部分是由于在实时捕获的方法论局限性,在线信息寻求过程中捕获了在线信息。探讨了女性的症状归因和在线健康信息寻求,以应对癌症的假设和不熟悉的乳房变化(乳头疹) 。我们还旨在建立实时捕获的可行性,使用旨在跟踪参与者在线搜索和访问网站的工具,Vizzata浏览器跟踪器。在56名疾病妇女(平均年龄)完成的(平均年龄60.34 [SD 7.73]年)响应一个场景,要求他们想象注意乳头上的红色鳞片状皮疹。当参与者在在线寻求信息后再次出现方案(T2)时,将要求参与者进行症状归属。嵌入在调查中的在线跟踪工具用于实时参与者搜索术语和访问的网站。追踪追踪工具捕获了大多数参与者的搜索条件和访问的网站(46/56,82%)。对于其余的(10/56,18%),尽管搜索活动未被记录,但有证据表明在线信息寻求(例如,医疗术语和T2的癌症归属)。共有25名参与者认为癌症是T1在T1的乳头皮疹的潜在原因,但这些使用的癌症中只有一个作为搜索词。大多数参与者(40/46,87%)使用皮疹相关的搜索条件,特别是乳头上的乳头疹和皮疹。大多数(41/46,89%)访问了含乳腺癌信息的网站,国家卫生服务网页“乳头Paget病”是最受欢迎的。在T2,在参与互联网搜索任务之后,更多的参与者将乳头疹归因于乳腺癌,而不是T1(37/46,66%VS 25/46,45%),虽然是少数参与者(6/46)改变从T1在T2的癌症归属于T2。结论癌症归属,对不熟悉的乳房变化并不一定转化为癌症所谓的搜索。同样,并非所有互联网搜索都导致了癌症归因。调查结果表明,在线信息寻求可能不一定帮助体验不熟悉的乳腺癌症状的女性了解他们的病情。尽管有一些技术问题,但这项研究表明,使用在线浏览器跟踪工具可在实时信息寻求陌生症症状的信息中捕获是可行的。

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