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首页> 外文期刊>JMIR public health and surveillance. >Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout
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Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout

机译:利用大数据改善健康意识运动:对美国大吸烟的新颖评估

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Background: Awareness campaigns are ubiquitous, but little is known about their potential effectiveness because traditional evaluations are often unfeasible. For 40 years, the “Great American Smokeout” (GASO) has encouraged media coverage and popular engagement with smoking cessation on the third Thursday of November as the nation’s longest running awareness campaign. Objective: We proposed a novel evaluation framework for assessing awareness campaigns using the GASO as a case study by observing cessation-related news reports and Twitter postings, and cessation-related help seeking via Google, Wikipedia, and government-sponsored quitlines. Methods: Time trends (2009-2014) were analyzed using a quasi-experimental design to isolate spikes during the GASO by comparing observed outcomes on the GASO day with the simulated counterfactual had the GASO not occurred. Results: Cessation-related news typically increased by 61% (95% CI 35-87) and tweets by 13% (95% CI ?21 to 48) during the GASO compared with what was expected had the GASO not occurred. Cessation-related Google searches increased by 25% (95% CI 10-40), Wikipedia page visits by 22% (95% CI ?26 to 67), and quitline calls by 42% (95% CI 19-64). Cessation-related news media positively coincided with cessation tweets, Internet searches, and Wikipedia visits; for example, a 50% increase in news for any year predicted a 28% (95% CI ?2 to 59) increase in tweets for the same year. Increases on the day of the GASO rivaled about two-thirds of a typical New Year’s Day—the day that is assumed to see the greatest increases in cessation-related activity. In practical terms, there were about 61,000 more instances of help seeking on Google, Wikipedia, or quitlines on GASO each year than would normally be expected. Conclusions: These findings provide actionable intelligence to improve the GASO and model how to rapidly, cost-effectively, and efficiently evaluate hundreds of awareness campaigns, nearly all for the first time.
机译:背景:意识运动无处不在,但由于传统的评估通常不可行,因此人们对其活动的潜在效​​果知之甚少。 40年来,“伟大的美国吸烟”活动(GASO)一直在鼓励媒体报道,并在11月的第三个星期四鼓励公众参与戒烟活动,这是美国历时最长的宣传运动。目标:我们提出了一个新颖的评估框架,以GASO为案例,通过观察与停止有关的新闻报道和Twitter帖子,以及通过Google,Wikipedia和政府赞助的戒烟热线寻求与停止有关的帮助,来评估意识活动。方法:使用准实验设计分析时间趋势(2009-2014年),以比较GASO当天观察到的结果与未发生GASO的模拟反事实来隔离GASO期间的峰值。结果:与未发生GASO的预期相比,GASO期间与戒烟相关的新闻通常增加了61%(95%CI 35-87),而推文则增加了13%(95%CI 21至48)。与戒烟相关的Google搜索量增加了25%(95%CI为10-40),维基百科页面访问量增加了22%(95%CI为26至67),而热线电话则增加了42%(95%CI 19-64)。与停止有关的新闻媒体与停止鸣叫,互联网搜索和Wikipedia访问呈正相关;例如,任何一年新闻量增加50%,则预测同一年的推文增加28%(95%CI?2到59)。 GASO当天的增长量大约是典型的元旦的三分之二,这一天被认为是与戒烟有关的活动增幅最大的一天。实际上,每年在Google,Wikipedia或GASO上的戒烟热线寻求帮助的实例比通常预期的多61,000个。结论:这些发现提供了可操作的情报,以改善GASO并建模如何快速,经济高效地评估数百个宣传活动,几乎是第一次。

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