众包的同行撰写的与专家撰写的戒烟信息。
Crowdsourced peer- versus expert-written smoking-cessation messages.
机构信息
Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
出版信息
Am J Prev Med. 2013 Nov;45(5):543-50. doi: 10.1016/j.amepre.2013.07.004.
BACKGROUND
Tailored, web-assisted interventions can reach many smokers. Content from other smokers (peers) through crowdsourcing could enhance relevance.
PURPOSE
To evaluate whether peers can generate tailored messages encouraging other smokers to use a web-assisted tobacco intervention (Decide2Quit.org).
METHODS
Phase 1: In 2009, smokers wrote messages in response to scenarios for peer advice. These smoker-to-smoker (S2S) messages were coded to identify themes. Phase 2: resulting S2S messages, and comparison expert messages, were then e-mailed to newly registered smokers. In 2012, subsequent Decide2Quit.org visits following S2S or expert-written e-mails were compared.
RESULTS
Phase 1: a total of 39 smokers produced 2886 messages (message themes: attitudes and expectations, improvements in quality of life, seeking help, and behavioral strategies). For not-ready-to-quit scenarios, S2S messages focused more on expectations around a quit attempt and how quitting would change an individual's quality of life. In contrast, for ready-to-quit scenarios, S2S messages focused on behavioral strategies for quitting. Phase 2: In multivariable analysis, S2S messages were more likely to generate a return visit (OR=2.03, 95% CI=1.74, 2.35), compared to expert messages. A significant effect modification of this association was found, by time-from-registration and message codes (both interaction terms p<0.01). In stratified analyses, S2S codes that were related more to "social" and "real-life" aspects of smoking were driving the main association of S2S and increased return visits.
CONCLUSIONS
S2S peer messages that increased longitudinal engagement in a web-assisted tobacco intervention were successfully collected and delivered. S2S messages expanded beyond the biomedical model to enhance relevance of messages.
TRIAL REGISTRATION
This study is registered at www.clinicaltrials.gov NCT00797628 (web-delivered provider intervention for tobacco control [QUIT-PRIMO]) and NCT01108432 (DPBRN Hygienists Internet Quality Improvement in Tobacco Cessation [HiQuit]).
背景
定制的、网络辅助干预措施可以覆盖到许多吸烟者。通过众包获取来自其他吸烟者（同伴）的内容可以提高相关性。
目的
评估同伴是否可以生成定制的信息，鼓励其他吸烟者使用网络辅助烟草干预（Decide2Quit.org）。
方法
第 1 阶段：2009 年，吸烟者根据情景回复同伴建议的信息。这些烟民之间（S2S）的信息被编码，以确定主题。第 2 阶段：随后的 S2S 信息和比较专家信息被发送给新注册的吸烟者。2012 年，比较 S2S 或专家撰写的电子邮件发送后的后续 Decide2Quit.org 访问情况。
结果
第 1 阶段：共有 39 名吸烟者生成了 2886 条信息（信息主题：态度和期望、生活质量的改善、寻求帮助和行为策略）。对于未准备好戒烟的情景，S2S 信息更关注戒烟尝试的期望以及戒烟将如何改变个人的生活质量。相比之下，对于准备好戒烟的情景，S2S 信息则侧重于戒烟的行为策略。第 2 阶段：在多变量分析中，与专家信息相比，S2S 信息更有可能产生回访（OR=2.03，95%CI=1.74，2.35）。这种关联存在显著的交互效应修饰，与注册时间和信息代码有关（两个交互项的 p 值均<0.01）。在分层分析中，与“社会”和“现实生活”吸烟方面更相关的 S2S 代码是驱动 S2S 与增加回访之间主要关联的因素。
结论
成功收集和传递了能增加网络辅助烟草干预措施长期参与度的 S2S 同伴信息。S2S 信息扩展到生物医学模型之外，以提高信息的相关性。
试验注册
本研究在 www.clinicaltrials.gov 上注册，NCT00797628（用于烟草控制的网络提供方干预[QUIT-PRIMO]）和 NCT01108432（DPBRN 卫生员互联网提高烟草戒烟质量[HiQuit]）。
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