哮喘联盟

   摘要
   背景：目前，市场上存在超过400种可帮助戒烟的智能手机应用程序，其每个月的下载量估计达到780,000次。目前，没有相关研究分析戒烟相关智能手机应用程序的各项特征对吸烟者的吸引力，也没有研究分析这些特征是否可以真正协助戒烟。
   目的：根据先前对一项新型戒烟应用程序评估的预试验结果，我们对以下几项内容进行研究：1. 10种应用最多的应用程序特征；2.前瞻性评估程序特征的使用与成功戒烟的相关性。
   方法：总共有76例受试者参加了关于戒烟相关智能手机应用程序（SmartQuit）戒烟效果的随机对照研究，其中包括了接受与承诺疗法（ACT）和传统的行为认知治疗（CBT）元素。收集8周治疗时间期间内的程序使用情况，在60天内的随访期间评估吸烟者的30天戒烟率。
   结果：最常用的戒烟相关智能手机应用程序的特征包括戒烟计划、情况记录、戒烟情况进展和成果分享等，大部分属于传统的行为认知治疗（CBT）。10种应用最多的特征中只有2种与戒烟的成功率显著相关：察看戒烟计划（p = 0.03）和对吸烟冲动的克制情况记录（p = 0.03）。只有少量的受试者（43例）采用了接受与承诺疗法（ACT），但其与戒烟效果是显著正相关的（p = 0.01）。
   结论：本项并没有对多种因素设立对照组的探索性研究结果显示，戒烟相关智能手机应用程序中察看戒烟计划（CBT）以及对吸烟冲动的克制情况记录（ACT）对于程序使用者都是非常有吸引力的，而且其与戒烟的成功率显著正相关。除了以上两种特征，其他特征的流行程度和它们对戒烟成功率的影响联系不大。我们应该开展更多的临床试验以评估各项应用程度特征与戒烟成功率的因果关系。
 

（刘国梁 审校）
Am J Drug Alcohol Abuse. 2014 Nov 14:1-6. [Epub ahead of print]


 

Feature-level analysis of a novel smartphone application for smoking cessation.
 

Heffner JL1, Vilardaga R, Mercer LD, Kientz JA, Bricker JB.
 

ABSTRACT
BACKGROUND: 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.
OBJECTIVES: Using data from a pilot trial of a novel smoking cessation app, we examined: (i) the 10 most-used app features, and (ii) prospective associations between feature usage and quitting.
METHODS: 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.
RESULTS: The most-used features - quit plan, tracking, progress, and sharing - were mostly CBT. Only two of the 10 most-used features were prospectively associated with quitting: viewing the quit plan (p = 0.03) and tracking practice of letting urges pass (p = 0.03). Tracking ACT skill practice was used by fewer participants (n = 43) but was associated with cessation (p = 0.01).
CONCLUSIONS: 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.
 

Am J Drug Alcohol Abuse. 2014 Nov 14:1-6. [Epub ahead of print]