• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用大数据提高健康意识宣传活动的效果:对“大美国戒烟日”的新评估。

Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout.

机构信息

Graduate School of Public Health, San Diego State University Chula Vista, CA United States.

American Cancer Society Behavioral Research Center Atlanta, GA United States.

出版信息

JMIR Public Health Surveill. 2016 Mar 31;2(1):e16. doi: 10.2196/publichealth.5304. eCollection 2016 Jan-Jun.

DOI:10.2196/publichealth.5304
PMID:27227151
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4869240/
Abstract

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.

摘要

背景

意识宣传活动无处不在,但由于传统评估往往不可行,因此人们对其潜在效果知之甚少。四十年来,“美国大戒烟日”(Great American Smokeout,简称 GASO)一直鼓励媒体报道和公众参与戒烟活动,这是美国持续时间最长的宣传活动。

目的

我们提出了一种新的评估框架,通过观察与戒烟相关的新闻报道和 Twitter 帖子,以及通过谷歌、维基百科和政府赞助的戒烟热线寻求戒烟帮助的情况,来评估 GASO 等意识宣传活动。

方法

使用准实验设计分析 2009 年至 2014 年的时间趋势,通过比较 GASO 当天的观察结果与假设 GASO 没有发生时的模拟反事实结果,来隔离 GASO 期间的高峰。

结果

与假设 GASO 没有发生时相比,GASO 期间与戒烟相关的新闻报道通常增加 61%(95%CI 35-87),Twitter 帖子增加 13%(95%CI -21 至 48)。与戒烟相关的谷歌搜索增加 25%(95%CI 10-40),维基百科页面访问量增加 22%(95%CI -26 至 67),戒烟热线呼叫增加 42%(95%CI 19-64)。与戒烟相关的新闻媒体与戒烟推文、互联网搜索和维基百科访问量呈正相关;例如,当年新闻报道增加 50%,则同年推文增加 28%(95%CI -2 至 59)。在 GASO 当天的增幅与假定与戒烟相关的活动最大的元旦日相当。实际上,每年通过谷歌、维基百科或戒烟热线寻求帮助的情况大约增加了 61,000 次,比通常预期的要多。

结论

这些发现为改进 GASO 提供了可操作的情报,并为如何快速、经济高效且有效地评估数百个意识宣传活动提供了模型,这些活动几乎都是首次进行评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9ca/4869240/75d5d8496796/publichealth_v2i1e16_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9ca/4869240/7b799ea92a7d/publichealth_v2i1e16_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9ca/4869240/cc8af1472205/publichealth_v2i1e16_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9ca/4869240/75d5d8496796/publichealth_v2i1e16_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9ca/4869240/7b799ea92a7d/publichealth_v2i1e16_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9ca/4869240/cc8af1472205/publichealth_v2i1e16_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9ca/4869240/75d5d8496796/publichealth_v2i1e16_fig3.jpg

相似文献

1
Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout.利用大数据提高健康意识宣传活动的效果:对“大美国戒烟日”的新评估。
JMIR Public Health Surveill. 2016 Mar 31;2(1):e16. doi: 10.2196/publichealth.5304. eCollection 2016 Jan-Jun.
2
Impact of promotion of the Great American Smokeout and availability of over-the-counter nicotine medications, 1996.1996年美国大戒烟日宣传活动及非处方尼古丁药物可及性的影响
MMWR Morb Mortal Wkly Rep. 1997 Sep 19;46(37):867-71.
3
Big Data Sensors of Organic Advocacy: The Case of Leonardo DiCaprio and Climate Change.有机倡导的大数据传感器:以莱昂纳多·迪卡普里奥与气候变化为例。
PLoS One. 2016 Aug 2;11(8):e0159885. doi: 10.1371/journal.pone.0159885. eCollection 2016.
4
A novel evaluation of World No Tobacco day in Latin America.拉丁美洲世界无烟日的一项新评估。
J Med Internet Res. 2012 May 28;14(3):e77. doi: 10.2196/jmir.2148.
5
Review of Evaluation Metrics Used in Digital and Traditional Tobacco Control Campaigns.数字和传统烟草控制运动中使用的评估指标综述。
J Med Internet Res. 2020 Aug 11;22(8):e17432. doi: 10.2196/17432.
6
Public reaction to Chikungunya outbreaks in Italy-Insights from an extensive novel data streams-based structural equation modeling analysis.公众对意大利基孔肯雅热疫情的反应——基于广泛新型数据流的结构方程建模分析的见解。
PLoS One. 2018 May 24;13(5):e0197337. doi: 10.1371/journal.pone.0197337. eCollection 2018.
7
The impact of a state-sponsored mass media campaign on use of telephone quitline and web-based cessation services.一项由政府资助的大众媒体宣传活动对电话戒烟热线及网络戒烟服务使用情况的影响。
Prev Chronic Dis. 2014 Dec 24;11:E225. doi: 10.5888/pcd11.140354.
8
Cessation Outcomes Among Quitline Callers in Three States During a National Tobacco Education Campaign.在一次全国烟草教育活动期间,三个州戒烟热线来电者的戒烟成果。
Prev Chronic Dis. 2015 Jul 16;12:E110. doi: 10.5888/pcd12.150024.
9
Leveraging Big Data for Exploring Occupational Diseases-Related Interest at the Level of Scientific Community, Media Coverage and Novel Data Streams: The Example of Silicosis as a Pilot Study.利用大数据在科学界、媒体报道和新数据流层面探索与职业病相关的关注度:以矽肺病为例的试点研究
PLoS One. 2016 Nov 2;11(11):e0166051. doi: 10.1371/journal.pone.0166051. eCollection 2016.
10
Public Awareness of the Fencing Response as an Indicator of Traumatic Brain Injury: Quantitative Study of Twitter and Wikipedia Data.公众对作为创伤性脑损伤指标的防御反应的认知:对推特和维基百科数据的定量研究
JMIR Form Res. 2023 Mar 17;7:e39061. doi: 10.2196/39061.

引用本文的文献

1
Google Trends Analysis of Interest in Smoking Cessation, Treatment Options, and Electronic Nicotine Delivery Systems Following Tax Increase and Introduction of Pictorial Health Warnings in Germany.德国提高烟草税并引入图片健康警示后,谷歌趋势对戒烟、治疗选择及电子尼古丁传送系统关注度的分析
Tob Use Insights. 2025 Jun 5;18:1179173X251338447. doi: 10.1177/1179173X251338447. eCollection 2025.
2
Google Trends Assessment of Keywords Related to Smoking and Smoking Cessation During the COVID-19 Pandemic in 4 European Countries: Retrospective Analysis.4个欧洲国家在2019年冠状病毒病大流行期间与吸烟和戒烟相关关键词的谷歌趋势评估:回顾性分析
Online J Public Health Inform. 2024 Dec 3;16:e57718. doi: 10.2196/57718.
3

本文引用的文献

1
"Tips From Former Smokers" Can Benefit From Considering All Available Data: Reply to McAfee et al.“前吸烟者的提示”可从考虑所有可用数据中受益:对麦卡菲等人的回复
Am J Prev Med. 2015 Dec;49(6):e133-4. doi: 10.1016/j.amepre.2015.08.005. Epub 2015 Oct 9.
2
Changes in Internet searches associated with the "Tips from Former Smokers" campaign.与“前吸烟者的提示”活动相关的互联网搜索变化。
Am J Prev Med. 2015 Jun;48(6):e27-9. doi: 10.1016/j.amepre.2015.03.015.
3
A new source of data for public health surveillance: Facebook likes.公共卫生监测的新数据来源:脸书点赞数。
Mapping obesity and diabetes' representation on Twitter: the case of Italy.
在推特上描绘肥胖症和糖尿病的情况:以意大利为例。
Front Sociol. 2023 Jun 15;8:1155849. doi: 10.3389/fsoc.2023.1155849. eCollection 2023.
4
Using Baidu Index Data to Improve Chickenpox Surveillance in Yunnan, China: Infodemiology Study.利用百度指数数据改善中国云南地区水痘监测:信息流行病学研究。
J Med Internet Res. 2023 May 16;25:e44186. doi: 10.2196/44186.
5
Are social networks effective in promoting healthy behaviors? A systematic review of evaluations of public health campaigns broadcast on Twitter.社交网络在促进健康行为方面有效吗?对在 Twitter 上播出的公共卫生运动评估的系统回顾。
Front Public Health. 2022 Nov 22;10:1045645. doi: 10.3389/fpubh.2022.1045645. eCollection 2022.
6
Potential of UK and US newspapers for shaping patients' knowledge and perceptions about antidiabetic medicines: a content analysis.英国和美国报纸在塑造患者对抗糖尿病药物的认知和看法方面的潜力:一项内容分析
J Pharm Policy Pract. 2022 Oct 15;15(1):64. doi: 10.1186/s40545-022-00462-8.
7
COVID-19 and Tweets About Quitting Cigarette Smoking: Topic Model Analysis of Twitter Posts 2018-2020.2018 - 2020年推特发文的主题模型分析:新冠病毒疾病与关于戒烟的推文
JMIR Infodemiology. 2022 May 16;2(1):e36215. doi: 10.2196/36215. eCollection 2022 Jan-Jun.
8
Relationship between internet research data of oral neoplasms and public health programs in the European Union.口腔肿瘤互联网研究数据与欧盟公共卫生计划之间的关系。
BMC Oral Health. 2021 Dec 17;21(1):648. doi: 10.1186/s12903-021-02022-z.
9
Internet Interest in Colon Cancer Following the Death of Chadwick Boseman: Infoveillance Study.互联网对查德维克·博斯曼去世后结肠癌的关注度:infoveillance 研究。
J Med Internet Res. 2021 Jun 15;23(6):e27052. doi: 10.2196/27052.
10
News coverage of the E-cigarette, or Vaping, product use Associated Lung Injury (EVALI) outbreak and internet searches for vaping cessation.电子烟或蒸气产品使用相关肺损伤(EVALI)爆发的新闻报道和互联网上关于电子烟戒烟的搜索。
Tob Control. 2021 Sep;30(5):578-582. doi: 10.1136/tobaccocontrol-2020-055755. Epub 2020 Oct 13.
J Med Internet Res. 2015 Apr 20;17(4):e98. doi: 10.2196/jmir.3970.
4
Health awareness days: sufficient evidence to support the craze?健康宣传日:有足够的证据支持这股热潮吗?
Am J Public Health. 2015 Jun;105(6):1061-5. doi: 10.2105/AJPH.2015.302621. Epub 2015 Apr 16.
5
Information seeking regarding tobacco and lung cancer: effects of seasonality.关于烟草与肺癌的信息寻求:季节性的影响
PLoS One. 2015 Mar 17;10(3):e0117938. doi: 10.1371/journal.pone.0117938. eCollection 2015.
6
Recall of anti-tobacco advertisements and effects on quitting behavior: results from the California smokers cohort.对反烟草广告的回忆及其对戒烟行为的影响:来自加利福尼亚吸烟者队列的结果
Am J Public Health. 2015 Feb;105(2):e90-7. doi: 10.2105/AJPH.2014.302249.
7
Cancer information seeking in the digital age: effects of Angelina Jolie's prophylactic mastectomy announcement.数字时代的癌症信息寻求:安吉丽娜·朱莉预防性乳房切除术声明的影响。
Med Decis Making. 2015 Jan;35(1):16-21. doi: 10.1177/0272989X14556130. Epub 2014 Oct 27.
8
The use of social media by state tobacco control programs to promote smoking cessation: a cross-sectional study.国家烟草控制项目利用社交媒体促进戒烟:一项横断面研究。
J Med Internet Res. 2014 Jul 10;16(7):e169. doi: 10.2196/jmir.3430.
9
What can digital disease detection learn from (an external revision to) Google Flu Trends?数字疾病检测能从(外部修订版的)谷歌流感趋势中学到什么?
Am J Prev Med. 2014 Sep;47(3):341-7. doi: 10.1016/j.amepre.2014.05.020. Epub 2014 Jul 2.
10
Brief report: trends in US National autism awareness from 2004 to 2014: the impact of national autism awareness month.简短报告:2004年至2014年美国全国自闭症认知趋势:全国自闭症认知月的影响
J Autism Dev Disord. 2014 Dec;44(12):3271-3. doi: 10.1007/s10803-014-2160-4.