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Tweet2Quit的随机对照试验评估:一种社交网络戒烟干预措施

Randomised controlled trial evaluation of Tweet2Quit: a social network quit-smoking intervention.

作者信息

Pechmann Cornelia, Delucchi Kevin, Lakon Cynthia M, Prochaska Judith J

机构信息

The Paul Merage School of Business, University of California Irvine, Irvine, California, USA.

Department of Psychiatry, University of California San Francisco, San Francisco, California, USA.

出版信息

Tob Control. 2017 Mar;26(2):188-194. doi: 10.1136/tobaccocontrol-2015-052768. Epub 2016 Feb 29.

DOI:10.1136/tobaccocontrol-2015-052768
PMID:26928205
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5112138/
Abstract

BACKGROUND

We evaluated a novel Twitter-delivered intervention for smoking cessation, Tweet2Quit, which sends daily, automated communications to small, private, self-help groups to encourage high-quality, online, peer-to-peer discussions.

DESIGN

A 2-group randomised controlled trial assessed the net benefit of adding a Tweet2Quit support group to a usual care control condition of nicotine patches and a cessation website.

PARTICIPANTS

Participants were 160 smokers (4 cohorts of 40/cohort), aged 18-59 years, who intended to quit smoking, used Facebook daily, texted weekly, and had mobile phones with unlimited texting.

INTERVENTION

All participants received 56 days of nicotine patches, emails with links to the smokefree.gov cessation website, and instructions to set a quit date within 7 days. Additionally, Tweet2Quit participants were enrolled in 20-person, 100-day Twitter groups, and received daily discussion topics via Twitter, and daily engagement feedback via text.

MEASURES

The primary outcome was sustained abstinence at 7, 30 and 60 days post-quit date.

RESULTS

Participants (mean age 35.7 years, 26.3% male, 31.2% college degree, 88.7% Caucasian) averaged 18.0 (SD=8.2) cigarettes per day and 16.8 (SD=9.8) years of smoking. Participants randomised to Tweet2Quit averaged 58.8 tweets/participant and the average tweeting duration was 47.4 days/participant. Tweet2Quit doubled sustained abstinence out to 60 days follow-up (40.0%, 26/65) versus control (20.0%, 14/70), OR=2.67, CI 1.19 to 5.99, p=0.017. Tweeting via phone predicted tweet volume, and tweet volume predicted sustained abstinence (p<0.001). The daily autocommunications caused tweeting spikes accounting for 24.0% of tweets.

CONCLUSIONS

Tweet2Quit was engaging and doubled sustained abstinence. Its low cost and scalability makes it viable as a global cessation treatment.

TRIAL REGISTRATION NUMBER

NCT01602536.

摘要

背景

我们评估了一种通过推特提供的戒烟干预措施Tweet2Quit,该措施会向小型私密自助群组每日自动发送信息,以鼓励进行高质量的在线 peer-to-peer 讨论。

设计

一项两组随机对照试验评估了在尼古丁贴片和戒烟网站的常规护理对照条件基础上增加Tweet2Quit支持群组的净效益。

参与者

参与者为160名吸烟者(共4组,每组40人),年龄在18至59岁之间,有意戒烟,每天使用脸书,每周发短信,且手机有无限短信功能。

干预措施

所有参与者均接受56天的尼古丁贴片、带有无烟.gov戒烟网站链接的电子邮件,以及在7天内设定戒烟日期的指导。此外,Tweet2Quit参与者被纳入20人一组、为期100天的推特群组,通过推特接收每日讨论话题,并通过短信接收每日参与反馈。

测量指标

主要结局指标为戒烟日期后7天、30天和60天的持续戒烟情况。

结果

参与者(平均年龄35.7岁,男性占26.3%,大学学历占31.2%,白种人占88.7%)平均每天吸18.0支烟(标准差 = 8.2),吸烟年限为16.8年(标准差 = 9.8)。随机分配到Tweet2Quit组的参与者平均每人发58.8条推文,平均推文持续时间为每人47.4天。在60天随访期内,Tweet2Quit组的持续戒烟率翻倍(40.0%,26/65),而对照组为(20.0%,14/70),比值比 = 2.67,可信区间为1.19至5.99,p = 0.017。通过手机发推文可预测推文数量,推文数量可预测持续戒烟情况(p < 0.001)。每日自动发送的信息导致推文数量激增,占推文总数的24.0%。

结论

Tweet2Quit具有吸引力,使持续戒烟率翻倍。其低成本和可扩展性使其作为一种全球戒烟治疗方法具有可行性。

试验注册号

NCT01602536 。

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