<i>"heh - keeps me off the smokes..."</i>

Graham, Connor; Benda, Peter; Howard, Steve; Balmford, James; Bishop, Nicole; Borland, Ron

doi:10.1145/1228175.1228214

Cited by 15 publications

(6 citation statements)

References 16 publications

(14 reference statements)

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“…This intelligent tracking should coincide with smokers’ cravings and deliver support when and where it is needed [59]. Notably, this type of passive push intervention is in contrast to smokers’ stated preference for active pull messaging to control timing on demand [28,31]. Remaining unanswered empirical questions include which type of intervention smokers would actually prefer based on real-world experience and how effective each strategy is relative to the other.…”

Section: Discussionmentioning

confidence: 99%

“…Other studies have not engaged smokers in the design process, but gained important information about smokers’ needs and preferences from observing their adoption and use of mHealth tools [31]. For instance, Heffner and colleagues [32] observed smokers’ use of a mobile quit-smoking app over 8 weeks and discovered that the most popular features were not necessarily associated with quitting.…”

Section: Introductionmentioning

confidence: 99%

“…Some smokers prefer to control the timing of automated messages [28], whereas others prefer messages sent at unexpected times [35]. Smokers’ relative preferences for push messages received automatically versus pull messages delivered upon request has been largely unexplored [31], but is an important issue that warrants further exploration.…”

Section: Introductionmentioning

confidence: 99%

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Prioritizing the mHealth Design Space: A Mixed-Methods Analysis of Smokers’ Perspectives

Hartzler¹,

BlueSpruce²,

Catz³

et al. 2016

JMIR Mhealth Uhealth

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BackgroundSmoking remains the leading cause of preventable disease and death in the United States. Therefore, researchers are constantly exploring new ways to promote smoking cessation. Mobile health (mHealth) technologies could be effective cessation tools. Despite the availability of commercial quit-smoking apps, little research to date has examined smokers’ preferred treatment intervention components (ie, design features). Honoring these preferences is important for designing programs that are appealing to smokers and may be more likely to be adopted and used.ObjectiveThe aim of this study was to understand smokers’ preferred design features of mHealth quit-smoking tools.MethodsWe used a mixed-methods approach consisting of focus groups and written surveys to understand the design preferences of adult smokers who were interested in quitting smoking (N=40). Focus groups were stratified by age to allow differing perspectives to emerge between older (>40 years) and younger (<40 years) participants. Focus group discussion included a “blue-sky” brainstorming exercise followed by participant reactions to contrasting design options for communicating with smokers, providing social support, and incentivizing program use. Participants rated the importance of preselected design features on an exit survey. Qualitative analyses examined emergent discussion themes and quantitative analyses compared feature ratings to determine which were perceived as most important.ResultsParticipants preferred a highly personalized and adaptive mHealth experience. Their ideal mHealth quit-smoking tool would allow personalized tracking of their progress, adaptively tailored feedback, and real-time peer support to help manage smoking cravings. Based on qualitative analysis of focus group discussion, participants preferred pull messages (ie, delivered upon request) over push messages (ie, sent automatically) and preferred interaction with other smokers through closed social networks. Preferences for entertaining games or other rewarding incentives to encourage program use differed by age group. Based on quantitative analysis of surveys, participants rated the importance of select design features significantly differently (P<.001). Design features rated as most important included personalized content, the ability to track one’s progress, and features designed to help manage nicotine withdrawal and medication side effects. Design features rated least important were quit-smoking videos and posting on social media. Communicating with stop-smoking experts was rated more important than communicating with family and friends about quitting (P=.03). Perceived importance of various design features varied by age, experience with technology, and frequency of smoking.ConclusionsFuture mHealth cessation aids should be designed with an understanding of smokers’ needs and preferences for these tools. Doing so does not guarantee treatment effectiveness, but balancing user preferences with best-practice treatment considerations could enhance program adoption a...

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prioritizing the mHealth Design Space: A Mixed-Methods Analysis of Smokers’ Perspectives

Hartzler¹,

BlueSpruce²,

Catz³

et al. 2016

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…Ongoing use of the program was related to greater likelihood of success [ 14 ]. However, as an Internet resource in which users are prompted to return by email rather than a telephone call, most users only use it once, and only around 10% use it more than twice [ 17 ].…”

Section: Methodsmentioning

confidence: 99%

“…Nonetheless, email reminders consisting of a simple message to return to the site for updated advice appear to stimulate return [ 17 ]. Returns to the site were generally clustered around the times the emails were sent out.…”

Section: Methodsmentioning

confidence: 99%

Patterns of Use of an Automated Interactive Personalized Coaching Program for Smoking Cessation

Balmford¹,

Borland²,

Benda³

2008

J Med Internet Res

Self Cite

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Background The QuitCoach, an “expert system” program of tailored advice for smoking cessation developed in Australia, has been publicly available since July 2003, albeit with limited promotion. The program is designed to be used on multiple occasions, guiding the user through the process of smoking cessation in the manner of a “life coach”. Email reminders are sent at scheduled intervals to prompt optimal and repeated use.Objectives The aims of this study were to characterize QuitCoach users and to determine what characteristics of smokers affect their participation over time. Of particular interest was whether users tend to return following a relapse and, thus, use the program as a tool for relapse prevention or recovery. We also explored patterns of change associated with returns to the site, whether prompted by reminder emails or not prompted at all.Methods Between July 2003 and June 2007, 28,247 individuals completed an initial assessment on the QuitCoach, of whom 83.7% (n = 23,656) registered. Data were collected during a 10-minute online questionnaire that all users completed in order to obtain tailored cessation advice. This included questions concerning basic demographic information, quitting history, current smoking status and cigarette consumption, stage of change, and use of pharmacotherapy.Results The median age of users was 34 years, and 62% were female. Most (96%) were current smokers. Overall, 91% were planning to quit in the next 30 days, and half (49.9%) had set a quit date. Those who had recently relapsed to smoking following a quit attempt made up 37%. Among registered users, 27% returned for a second visit, a median 9 days after their first. Overall, a third visit was completed by 11% and 2% returned within 2 days. Women, older smokers, those who had recently quit, and those using pharmacotherapy were more likely to return. From the second visit on, most people who completed an assessment had quit. Likelihood of responding to a prompt to return was largely unrelated to user characteristics or cessation outcome.ConclusionsInternet-based programs have considerable potential to reach large numbers of smokers at low cost. The QuitCoach is attracting considerable use, with most using it to make a quit attempt and, for those who continue to use the QuitCoach, to help them stay quit. Nonetheless, most users only visited the site once, suggesting improved strategies are needed for encouraging repeated use.

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Supporting Preventive Healthcare with Persuasive Services

Hamper¹,

Muller²

2013

Lean Thinking for Healthcare

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"heh - keeps me off the smokes..."

Cited by 15 publications

References 16 publications

Prioritizing the mHealth Design Space: A Mixed-Methods Analysis of Smokers’ Perspectives

Prioritizing the mHealth Design Space: A Mixed-Methods Analysis of Smokers’ Perspectives

Patterns of Use of an Automated Interactive Personalized Coaching Program for Smoking Cessation

Supporting Preventive Healthcare with Persuasive Services

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