Feature-level analysis of a novel smartphone application for smoking cessation.
Feature-level analysis of a novel smartphone application for smoking cessation.
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DOI：
10.3109/00952990.2014.977486
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发表时间：
2015-01
期刊：
影响因子：
--
通讯作者：
Bricker JB
中科院分区：
文献类型：
--
作者：
Heffner JL;Vilardaga R;Mercer LD;Kientz JA;Bricker JB
目前，有400多款戒烟智能手机应用程序可用，估计每月下载78万次。之前还没有研究过个人如何使用戒烟应用的特定功能，以及这些功能的使用是否与戒烟有关。使用一款新型戒烟应用程序的试点试验数据，我们检查了：(1)十种最常用的应用程序功能，以及(2)功能使用与戒烟之间的预期关联。参与者(n=76)来自一项名为“SmartQuit”的戒烟应用程序的随机对照试点试验的实验组，该应用程序包括接受与承诺疗法(ACT)和传统认知行为疗法(CBT)的元素。在为期8周的治疗阶段，使用数据被自动跟踪。在60天的随访中评估30天的吸烟点戒烟率。使用最多的功能--退出计划、跟踪、进度和分享--主要是CBT。在十个最常用的功能中，只有两个与戒烟有关：查看戒烟计划(p=.03)和跟踪让冲动过去的做法(p=.03)。跟踪ACT技能练习的参与者较少(n=43)，但与停止有关(p=.01)。在这项没有对多个比较进行控制的探索性分析中，查看戒烟计划(CBT)和跟踪让冲动过去的实践(ACT)都对应用程序用户有吸引力，并与成功戒烟有关。除了这些特征外，一项特征的受欢迎程度与其与戒烟的潜在联系之间几乎没有重叠。现在需要对功能使用和戒烟之间的因果关系进行测试。
Currently, there are over 400 smoking cessation smartphone apps available, downloaded an estimated 780,000 times per month. No prior studies have examined how individuals engage with specific features of cessation apps and whether use of these features is associated with quitting. Using data from a pilot trial of a novel smoking cessation app, we examined: (1) the ten most-used app features, and (2) prospective associations between feature usage and quitting. Participants (n=76) were from the experimental arm of a randomized, controlled pilot trial of an app for smoking cessation called “SmartQuit,” which includes elements of both Acceptance and Commitment Therapy (ACT) and traditional cognitive behavioral therapy (CBT). Utilization data were automatically tracked during the 8-week treatment phase. Thirty-day point prevalence smoking abstinence was assessed at 60-day follow-up. The most-used features--quit plan, tracking, progress, and sharing--were mostly CBT. Only two of the ten most-used features were prospectively associated with quitting: viewing the quit plan (p=.03) and tracking practice of letting urges pass (p=.03). Tracking ACT skill practice was used by fewer participants (n=43) but was associated with cessation (p=.01). In this exploratory analysis without control for multiple comparisons, viewing a quit plan (CBT) as well as tracking practice of letting urges pass (ACT) were both appealing to app users and associated with successful quitting. Aside from these features, there was little overlap between a feature's popularity and its prospective association with quitting. Tests of causal associations between feature usage and smoking cessation are now needed.
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影响因子：
4.7
作者：
Bricker, Jonathan B.;Bush, Terry;Heffner, Jaimee L.
通讯作者：
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影响因子：
5.5
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Phillips, Todd
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3.4
作者：
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通讯作者：
Montesinos, Francisco
影响因子：
7.4
作者：
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通讯作者：
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影响因子：
4.7
作者：
Muñoz, RF;Lenert, LL;Pérez-Stable, EJ
通讯作者：
Pérez-Stable, EJ