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      A Content Analysis of Popular Smartphone Apps for Smoking Cessation

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      American Journal of Preventive Medicine
      Elsevier BV

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          Abstract

          Smartphone applications (apps) are increasingly available for smoking cessation. This study examined the content of popular apps for smoking cessation for both iPhone and Android operating systems in February 2012. A total of 252 smoking-cessation apps were identified for the iPhone and 148 for the Android. Across both operating systems, the most popular apps were identified (n=47 for the iPhone and n=51 for the Android) and analyzed for their (1) approach to smoking cessation and (2) adherence to an index based on the U.S. Public Health Service's Clinical Practice Guidelines for Treating Tobacco Use and Dependence. Where available, apps were coded for frequency of downloads. The analysis took place in 2012. Overall, popular apps have low levels of adherence, with an average score of 12.9 of a possible 42 on the Adherence Index. No apps recommended calling a quitline, and only a handful of apps recommended using approved medications (4.1%). Android apps in the sample were downloaded worldwide between 310,800 and 1,248,000 times per month. For both the iPhone and Android, user ratings were positively associated with scores on the Adherence Index. For the iPhone, display order was also positively associated with scores on the Adherence Index. Apps could be improved by better integration with the Clinical Practice Guidelines and other evidence-based practices. Copyright © 2013 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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          Author and article information

          Journal
          American Journal of Preventive Medicine
          American Journal of Preventive Medicine
          Elsevier BV
          07493797
          December 2013
          December 2013
          : 45
          : 6
          : 732-736
          Article
          10.1016/j.amepre.2013.07.008
          3836190
          24237915
          053e822a-981b-4e30-989a-93f438df288f
          © 2013

          https://www.elsevier.com/tdm/userlicense/1.0/

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