Comparing Google With A Focused Diabetes Search Engine
Abstract Diabetes behavior can be influenced by patients exploring diabetes topics that may lack scientific credibility. The question this study examines is whether a Google or Health on the Net (HON) internet search, presents websites that would incline a more or less likely recommendation to patients ? A preliminary trial suggests that referrers recommend websites based on rules that may prioritize website source over content. This study will qualitatively assess the rules that participants use in deciding which websites are more suitable than others.
Method The investigators will inject a diabetes related search term into a HON and a Google search engine. The top 5 mutually exclusive websites from each search engine will be presented to 5 people from three groups stratified across endocrinologists, informaticians and PCPs. Participants will rank the websites and then identify the rules that they applied to reach their decision.
研究概览
地位
条件
研究类型
注册 (实际的)
联系人和位置
学习地点
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Massachusetts
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Brookline、Massachusetts、美国、02446
- Charles Safran
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参与标准
资格标准
适合学习的年龄
- 孩子
- 成人
- 年长者
接受健康志愿者
有资格学习的性别
取样方法
研究人群
描述
Inclusion Criteria:
- physician, informatician, diabetologist
Exclusion Criteria:
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学习计划
研究是如何设计的?
设计细节
队列和干预
团体/队列 |
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Primary Care Physicians
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Diabetologists
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研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
---|---|---|
Website Ranking
大体时间:Immediate
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Primary care and diabetes clinicians' preference in a set of webpage search results on a visual analog scale (1-100) with 1 being the lowest preference and 100 being the highest.
Rankings based on qualitative measures, such as perceived clinical relevance, perceived accuracy of content, and perceived timeliness of content.
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Immediate
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Search Engine Preference
大体时间:Immediate
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Based on the results of primary outcome 1 (Website Ranking), preference for search engine was measured qualitatively between Google and Health-on-the-Net.
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Immediate
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合作者和调查者
调查人员
- 首席研究员:Charles Safran, MD、Beth Israel Deaconess Medical Center
研究记录日期
研究主要日期
学习开始
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (估计)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
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