2016
DOI: 10.2196/mhealth.5742
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Prioritizing the mHealth Design Space: A Mixed-Methods Analysis of Smokers’ Perspectives

Abstract: 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 … Show more

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Cited by 33 publications
(36 citation statements)
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“…Clients, however, prefer “pull” over “push” messages due to the perception that poorly timed interventions run the risk of reminding them about smoking or they tend to dismiss them [27]. Clients also prefer interventions that are of interest to them, tips that are achievable and relatable to them [48], and rewards that are meaningful to them.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…Clients, however, prefer “pull” over “push” messages due to the perception that poorly timed interventions run the risk of reminding them about smoking or they tend to dismiss them [27]. Clients also prefer interventions that are of interest to them, tips that are achievable and relatable to them [48], and rewards that are meaningful to them.…”
Section: Discussionmentioning
confidence: 99%
“…More importantly, these efforts can help reduce stigma and isolation in a client’s immediate network, adding to social incentives to quit. However, prior research suggests that not every client may prefer social support [27,49]. For facilitating nuanced preferences, clients may make visible to the network what kind of support they are seeking or not seeking during quitting smoking [57] (if they wish to disclose).…”
Section: Discussionmentioning
confidence: 99%
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“…Participants were presented a list of 42 specific mobile app features, functionality, and content topics and asked to rate how important or how appealing they found each of them. Item selection was based on a similar scale previously used to assess interest in mHealth app content and features among smoking cessation treatment experts and smokers [13,14], but modified to include additional response options based on the target audience, phase 1 results, and input from the authors. Importance and appeal were each rated on a 4-point Likert scale ranging from “not at all” to “very” important or appealing.…”
Section: Methodsmentioning
confidence: 99%