Hoeppner Bettina B, Hoeppner Susanne S, Seaboyer Lourah, Schick Melissa R, Wu Gwyneth W Y, Bergman Brandon G, Kelly John F
Center for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA;
Center for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA; Department of Psychology, Suffolk University, Boston, MA;
Nicotine Tob Res. 2016 May;18(5):1025-31. doi: 10.1093/ntr/ntv117. Epub 2015 Jun 4.
Smartphone technology is ideally suited to provide tailored smoking cessation support, yet it is unclear to what extent currently existing smartphone "apps" use tailoring, and if tailoring is related to app popularity and user-rated quality.
We conducted a content analysis of Android smoking cessation apps (n = 225), downloaded between October 1, 2013 to May 31, 2014. We recorded app popularity (>10,000 downloads) and user-rated quality (number of stars) from Google Play, and coded the existence of tailoring features in the apps within the context of using the 5As ("ask," "advise," "assess," "assist," and "arrange follow-up"), as recommended by national clinical practice guidelines.
Apps largely provided simplistic tools (eg, calculators, trackers), and used tailoring sparingly: on average, apps addressed 2.1 ± 0.9 of the 5As and used tailoring for 0.7 ± 0.9 of the 5As. Tailoring was positively related to app popularity and user-rated quality: apps that used two-way interactions (odds ratio [OR] = 5.56 [2.45-12.62]), proactive alerts (OR = 3.80 [1.54-9.38]), responsiveness to quit status (OR = 5.28 [2.18-12.79]), addressed more of the 5As (OR = 1.53 [1.10-2.14]), used tailoring for more As (OR = 1.67 [1.21-2.30]), and/or used more ways of tailoring 5As content (OR = 1.35 [1.13-1.62]) were more likely to be frequently downloaded. Higher star ratings were associated with a higher number of 5As addressed (b = 0.16 [0.03-0.30]), a higher number of 5As with any level of tailoring (b = 0.14 [0.01-0.27]), and a higher number of ways of tailoring 5As content (b = 0.08 [0.002-0.15]).
Publically available smartphone smoking cessation apps are not particularly "smart": they commonly fall short of providing tailored feedback, despite users' preference for these features.
智能手机技术非常适合提供量身定制的戒烟支持，但目前尚不清楚现有的智能手机“应用程序”在多大程度上采用了个性化定制，以及个性化定制是否与应用程序的受欢迎程度和用户评价的质量相关。
我们对2013年10月1日至2014年5月31日期间下载的安卓戒烟应用程序（n = 225）进行了内容分析。我们从谷歌应用商店记录了应用程序的受欢迎程度（下载量超过10,000次）和用户评价的质量（星级），并根据国家临床实践指南的建议，在使用5A（“询问”、“建议”、“评估”、“协助”和“安排随访”）的背景下，对应用程序中个性化定制功能的存在进行了编码。
应用程序大多提供简单的工具（如计算器、追踪器），很少使用个性化定制：平均而言，应用程序涉及5A中的2.1±0.9项，对5A中的0.7±0.9项进行了个性化定制。个性化定制与应用程序的受欢迎程度和用户评价的质量呈正相关：使用双向互动的应用程序（优势比[OR]=5.56[2.45 - 12.62]）、主动提醒（OR = 3.80[1.54 - 9.38]）、对戒烟状态的响应（OR = 5.28[2.18 - 12.79]）、涉及更多5A项（OR = 1.53[1.10 - 2.14]）、对更多A项进行个性化定制（OR = 1.67[1.21 - 2.30]）和/或使用更多方式对5A内容进行个性化定制（OR = 1.35[1.13 - 1.62]）的应用程序更有可能被频繁下载。更高的星级与涉及的5A项数量更多（b = 0.16[0.03 - 0.30]）、有任何个性化定制水平的5A项数量更多（b = 0.14[0.01 - 0.27]）以及对5A内容进行个性化定制的方式数量更多（b = 0.08[0.002 - 0.15]）相关。
公开可用的智能手机戒烟应用程序并非特别“智能”：尽管用户对这些功能有偏好，但它们通常未能提供量身定制的反馈。
