Crush the Crave: Development and Formative Evaluation of a Smartphone App for Smoking Cessation.
Crush the Crave: Development and Formative Evaluation of a Smartphone App for Smoking Cessation.
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DOI：
10.2196/mhealth.9011
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发表时间：
2018-03-02
影响因子：
5
通讯作者：
Dash D
中科院分区：
文献类型：
--
作者：
Baskerville NB;Struik LL;Dash D
新出现的证据支持使用智能手机应用程序戒烟，特别是在年轻人中，因为他们的吸烟率高，智能手机拥有率高。虽然支持戒烟的评估证据令人鼓舞，但描述移动的健康干预措施的设计和开发过程的研究仍然很少。本文的目的是描述开发Crush the Crave（CTC）的过程，这是一个支持年轻人戒烟的循证应用程序，以及对应用程序使用行为进行形成性评估的结果，作为寻求建立CTC应用程序有效性的更广泛研究计划的一部分。螺旋技术行动研究（星星）5周期模型（听、计划、做、行动和研究）被用来指导CTC的发展、实施和传播。开发和形成性评价方法包括在2个阶段中与年轻成年吸烟者（n=78）进行焦点小组讨论，分析现有应用程序的内容，与内容专家进行2次会议，并使用Google Analytics评估12个月试点期间的用户行为。LISTEN焦点小组揭示了年轻成年吸烟者对（1）积极强化，（2）个性化，（3）社会支持，（4）戒烟支持，（5）跟踪行为，（6）跟踪戒烟益处的偏好。计划-通过戒烟的证据，年轻人的偏好和流行的戒烟应用程序的评估，内容专家制作了一个思维导图和一个描述应用程序内容和结构的故事板。年轻成年吸烟者的DO焦点小组对第一个版本的应用程序提供了反馈，对内容和改进建议提出了意见，例如提供警报和分散对渴望的注意力。ACT进行了改进，应用程序内容使用4个关键设计组件进行组织，这些组件由行为改变的说服性技术原则提供信息：可信度，任务支持，对话支持和社会支持。CTC于2013年4月推出，并于2013年7月至2014年6月期间进行试点，1987名Android用户有18，567次会话，导致59，384次页面浏览和89.58%（1780/1987）的用户在同一天内返回使用CTC。2014年8月启动了一项实用的CTC随机对照试验，以证明将mHealth技术作为基于人群的干预措施可以帮助年轻的成年吸烟者戒烟。这一阶段的结果将在随后的出版物中介绍。CTC是第一个戒烟应用程序之一，旨在满足年轻成年吸烟者的需求。这项发展是通过将年轻人纳入设计和系统地应用多个利益攸关方的投入、科学证据和理论而获得的。从制定干预措施之初就遵循了星星模型方法，这将有助于优化未来的移动保健干预措施。ClinicalTrials.gov NCT 01983150; http://clinicaltrials.gov/ct2/show/NCT01983150（由WebCite在http：//www.webcitation.org/6VGyc0W0i上存档）
Emerging evidence supports the use of smartphone apps for smoking cessation, especially in young adults given their high smoking rates and high smartphone ownership rates. Although evaluative evidence is encouraging for supporting smoking cessation, there remains a paucity of research describing the design and development processes of mobile health (mHealth) interventions. The aim of this paper was to describe the process of developing Crush the Crave (CTC), an evidence-informed app to support smoking cessation in young adults, and the results of a formative evaluation of app usage behavior, as part of a broader program of research that seeks to establish the effectiveness of the CTC app. The Spiral Technology Action Research (STAR) 5-cycle model (listen, plan, do, act, and study) was employed to guide the development, implementation, and dissemination of CTC. The approach to development and formative evaluation included focus groups with young adult smokers (n=78) across 2 phases, analysis of the content of existing apps, 2 sessions with content experts, and Google Analytics to assess user behavior during a 12-month pilot. LISTEN—focus groups revealed young adult smoker preferences of (1) positive reinforcement, (2) personalization, (3) social support, (4) quit support, (5) tracking the behavior, and (6) tracking quit benefits. PLAN—informed by evidence for smoking cessation, young adult preferences and an assessment of popular cessation apps, content experts produced a mind map and a storyboard describing app content and structure. DO—focus groups with young adult smokers provided feedback on the first version of the app with opinions on content and suggestions for improvement such as providing alerts and distractions from craving. ACT—refinements were made, and app content was organized using the 4 key design components informed by principles of persuasive technology for behavior change: credibility, task support, dialogue support, and social support. CTC was launched in April 2013 and piloted from the period July 2013 to June 2014 where 1987 Android users had 18,567 sessions, resulting in 59,384 page views and 89.58% (1780/1987) of users returning within the same day to use CTC. STUDY—a pragmatic randomized controlled trial of CTC was launched in August 2014 to demonstrate that including mHealth technology as a population-based intervention can help young adult smokers to quit. The results of this phase will be presented in a subsequent publication. CTC is one of the first smoking cessation apps designed to meet the needs of young adult smokers. The development was informed by the inclusion of young adults in the design and the systematic application of multiple stakeholder input, scientific evidence, and theory. The STAR model approach was followed from the beginning of intervention development, which should facilitate optimization of mHealth interventions in the future. ClinicalTrials.gov NCT01983150; http://clinicaltrials.gov/ct2/show/NCT01983150 (Archived by WebCite at http://www.webcitation.org/6VGyc0W0i)
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影响因子：
12.7
作者：
Cobb NK;Graham AL;Abrams DB
通讯作者：
Abrams DB
DOI：
10.3109/00952990.2014.977486
发表时间：
2015-01
期刊：
The American journal of drug and alcohol abuse
影响因子：
--
作者：
Heffner JL;Vilardaga R;Mercer LD;Kientz JA;Bricker JB
通讯作者：
Bricker JB
影响因子：
5
作者：
Ploderer, Bernd;Smith, Wally;Borland, Ron
通讯作者：
Borland, Ron
影响因子：
7.4
作者：
Choi J;Noh GY;Park DJ
通讯作者：
Park DJ
影响因子：
5.5
作者：
Abroms, Lorien C.;Padmanabhan, Nalini;Phillips, Todd
通讯作者：
Phillips, Todd