TY - JOUR AU - Pechmann, Cornelia AU - Pan, Li AU - Delucchi, Kevin AU - Lakon, Cynthia M AU - Prochaska, Judith J PY - 2015 DA - 2015/02/23 TI -开发基于twitter的戒烟干预，通过自动消息鼓励高质量的社交媒体互动JO - J Med Internet Res SP - e50 VL - 17 IS - 2 KW -戒烟KW -社交媒体KW -短信AB -背景:医疗领域寻求利用社交媒体提供健康干预措施，例如，提供低成本、自我指导的在线自助小组。然而，在线群体的参与度通常很低，信息内容可能很差。目的:具体的研究目的是探索发送自动信息到在线自助团体是否鼓励参与，并查看是否整体或特定类型的参与与禁欲有关。方法:我们对一种名为Tweet2Quit的新型戒烟社交媒体干预进行了第一阶段早期治疗发展试验，该试验在100天内通过Twitter上封闭的20人戒烟小组在线发布。像Twitter这样的社交媒体传统上涉及非定向的点对点交流，但我们的混合社交媒体干预试图通过每天发送两种类型的自动通信来增加和指导这种交流:(1)“自动信息”，鼓励小组讨论一个有证据的与戒烟相关的或社区建设的话题，(2)对每个参与者过去24小时的推文进行个性化的“自动反馈”。为了确保低成本、易于实施和广泛的可扩展性，该干预措施在设计时没有专家小组的协助，采用了完全自动化。这项纯基于网络的试验考察了两个在线戒烟小组，每个小组有20名成员。参与者是有意戒烟的成年吸烟者，他们是通过谷歌AdWords招募的。参与者的推文被统计，内容被编码，区分对干预的自动消息的回应和自发的推文。 In addition, smoking abstinence was assessed at 7 days, 30 days, and 60 days post quit date. Statistical models assessed how tweeting related to abstinence. Results: Combining the two groups, 78% (31/40) of the members sent at least one tweet; and on average, each member sent 72 tweets during the 100-day period. The automessage-suggested discussion topics and participants’ responses to those daily automessages were related in terms of their content (r=.75, P=.012). Responses to automessages contributed 22.78% (653/2867) of the total tweets; 77.22% (2214/2867) were spontaneous. Overall tweeting related only marginally to abstinence (OR 1.03, P=.086). However, specific tweet content related to abstinence including tweets about setting of a quit date or use of nicotine patches (OR 1.52, P=.024), countering of roadblocks to quitting (OR 1.76, P=.008) and expressions of confidence about quitting (OR 1.71, SE 0.42, P=.032). Questionable, that is, non-evidence-based, information about quitting did not relate to abstinence (OR 1.12, P=.278). Conclusions: A hybrid social media intervention that combines traditional online social support with daily automessages appears to hold promise for smoking cessation. This hybrid approach capitalizes on social media’s spontaneous real-time peer-to-peer exchanges but supplements this with daily automessages that group members respond to, bolstering and sustaining the social network and directing the information content. Highly engaging, this approach should be studied further. Trial Registration: Clinicaltrials.gov NCT01602536; https://clinicaltrials.gov/ct2/show/NCT01602536 (Archived by WebCite at http://www.webcitation.org/6WGbt0o1K) SN - 1438-8871 UR - //www.mybigtv.com/2015/2/e50/ UR - https://doi.org/10.2196/jmir.3772 UR - http://www.ncbi.nlm.nih.gov/pubmed/25707037 DO - 10.2196/jmir.3772 ID - info:doi/10.2196/jmir.3772 ER -