Background With the proliferation of smartphones such as the iPhone, mobile phones are being used in novel ways to promote smoking cessation. Purpose This study set out to examine the content of the 47 iPhone applications (apps) for smoking cessation that were distributed through the online iTunes store, as of June 24, 2009. Methods Each app was independently coded by two reviewers for their (1) approach to smoking cessation and their (2) adherence to the U.S. Public Health Service’s 2008 Clinical Practice Guidelines for Treating Tobacco Use and Dependence. Apps were also coded for their (3) frequency of downloads. Results Apps identified for smoking cessation were found to have low levels of adherence to key guidelines in the index. Few, if any, apps recommended or linked the user to proven treatments such as pharmacotherapy, counseling, and/or a quitline. Conclusions iPhone apps for smoking cessation rarely adhere to established guidelines for smoking cessation. It is recommended that current apps be revised and future apps be developed around evidence-based practices for smoking cessation.

Background Smartphone applications (apps) are increasingly available for smoking cessation. Purpose This study examined the content of popular apps for smoking cessation for both iPhone and Android operating systems in February 2012. Methods 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. Results 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. Conclusions Apps could be improved by better integration with the Clinical Practice Guidelines and other evidence-based practices.

Little is known about how much smartphone apps for weight control adhere to evidence-informed practices. The aim of this study was to review and summarize the content of available weight control apps. Information on content, user rating, and price was extracted from iTunes on September 25, 2009. Apps (n=204) were coded for adherence to 13 evidence-informed practices for weight control. Latent class analysis was used to identify subgroups of apps based on endorsement practices. Only a small percentage of apps had five or more of the 13 practices (15%). Latent class analysis revealed three main types of apps: diet, physical activity, and weight journals (19%); dietary advice and journals (34%); and weight trackers (46%). User ratings were not associated with apps from these three classes. Many apps have insufficient evidenceinformed content. Research is needed that seeks to develop, improve, and evaluate these apps.

This article provides an overview of the ways in which mass communication has been used-or can be used-to promote beneficial changes in behavior among members of populations. We use an ecological perspective to examine the ways in which mass media interventions can be used to influence public behavior both directly and indirectly. Mass media interventions that seek to influence people directly-by directly targeting the people burdened by the public health problem of concern and/or the people who influence themhave a long basis in public health history, and recent reviews have clarified our expectations about what can be expected from such approaches. Mass media interventions that seek to influence people indirectly-by creating beneficial changes in the places (or environments) in which people live and work-have equal if not greater potential to promote beneficial changes in population health behaviors, but these are currently less explored options. To have the greatest possible beneficial influence on public behavior with the public health resources available, we recommend that public health program planners assess their opportunities to use media to target both people and places in a manner that complements and extends other investments being made in population health enhancement.

BackgroundA growing body of evidence demonstrates that text messaging-based programs (short message service [SMS]) on mobile phones can help people modify health behaviors. Most of these programs have consisted of automated and sometimes interactive text messages that guide a person through the process of behavior change.ObjectiveThis paper provides guidance on how to develop text messaging programs aimed at changing health behaviors.MethodsBased on their collective experience in designing, developing, and evaluating text messaging programs and a review of the literature, the authors drafted the guide. One author initially drafted the guide and the others provided input and review.ResultsSteps for developing a text messaging program include conducting formative research for insights into the target audience and health behavior, designing the text messaging program, pretesting the text messaging program concept and messages, and revising the text messaging program.ConclusionsThe steps outlined in this guide may help in the development of SMS-based behavior change programs.