Text2Quit: results from a pilot test of a personalized, interactive mobile health smoking cessation program.
Text2Quit: results from a pilot test of a personalized, interactive mobile health smoking cessation program.
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DOI：
10.1080/10810730.2011.649159
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发表时间：
2012
影响因子：
4.4
通讯作者：
Windsor RA
中科院分区：
文献类型：
--
作者：
Abroms LC;Ahuja M;Kodl Y;Thaweethai L;Sims J;Winickoff JP;Windsor RA
移动的手机上的短信程序在帮助人们戒烟方面显示出了一些希望。Text2Quit是一个自动化，个性化和互动的移动的健康计划，在3个月的时间内发送短信和电子邮件，时间大约是参与者的戒烟日期。这些短信包括戒烟前和戒烟后的教育信息、戒烟者同伴信息、药物提醒和复发信息，以及多种互动机会。研究参与者是参加Text2Quit计划的大学生（n=23）。参与者在基线和入组后2周和4周接受调查。绝大多数参与者同意他们在入学后2周和4周喜欢该计划（分别为90.5%和82.3%）。对文本消息的支持被认为是中等的，高于电子邮件和网络组件。75%的参与者报告阅读了大部分或全部文本。平均而言，用户在4周内对文本进行了11.8次回复，尽管在退出日期之后回复有所下降。追踪香烟的互动功能是最常用的互动功能，其次是渴望琐事游戏。这个试点测试为Text2Quit程序提供了一些支持。该计划的未来迭代将包括退出前和退出后协议中的额外跟踪功能，以及更容易进入非退出协议。未来的研究，建议确定的互动和个性化的功能，该程序的特点的价值。
Text messaging programs on mobile phones have shown some promise in helping people quit smoking. Text2Quit is an automated, personalized and interactive mobile health program that sends text messages and emails timed around a participant’s quit date over the course of 3 months. The text messages include pre- and post-quit educational messages, peer ex-smoker messages, medication reminders and relapse messages, as well as multiple opportunities for interaction. Study participants were university students (n=23) enrolled in the Text2Quit program. Participants were surveyed at baseline and at 2 and 4 weeks post-enrollment. The vast majority of participants agreed that they liked the program at 2 and 4 weeks post-enrollment (90.5% and 82.3%, respectively). Support for text messages was found to be moderate, and higher than that of the email and web components. Seventy-five percent of participants reported reading most or all of the texts. On average, users made 11.8 responses to the texts over a 4 week period, although responses declined following the quit date. The interactive feature for tracking cigarettes was the most used interactive feature, followed by the craving trivia game. This pilot test provides some support for the Text2Quit program. A future iteration of the program will include additional tracking features in both the pre-quit and post-quit protocol and an easier entry into the not-quit protocol. Future studies are recommended that identify the value of the interactive and personalized features that characterize this program.
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