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Development of a Just-in-Time Adaptive Intervention for Smoking Cessation Among Korean American Emerging Adults

Overview of attention for article published in International Journal of Behavioral Medicine, January 2017
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Title
Development of a Just-in-Time Adaptive Intervention for Smoking Cessation Among Korean American Emerging Adults
Published in
International Journal of Behavioral Medicine, January 2017
DOI 10.1007/s12529-016-9628-x
Pubmed ID
Authors

Christian Jules Cerrada, Eldin Dzubur, Kacie C. A. Blackman, Vickie Mays, Steven Shoptaw, Jimi Huh

Abstract

Cigarette smoking is a preventable risk factor that contributes to unnecessary lung cancer burden among Korean Americans and there is limited research on effective smoking cessation strategies for this population. Smartphone-based smoking cessation apps that leverage just-in-time adaptive interventions (JITAIs) hold promise for smokers attempting to quit. However, little is known about how to develop and tailor a smoking cessation JITAI for Korean American emerging adult (KAEA) smokers. This paper documents the development process of MyQuit USC according to design guidelines for JITAI. Our development process builds on findings from a prior ecological momentary assessment study by using qualitative research methods. Semi-structured interviews and a focus group were conducted to inform which intervention options to offer and the decision rules that dictate their delivery. Qualitative findings highlighted that (1) smoking episodes are highly context-driven and that (2) KAEA smokers believe they need personalized cessation strategies tailored to different contexts. Thus, MyQuit USC operates via decision rules that guide the delivery of personalized implementation intentions, which are contingent on dynamic factors, to be delivered "just in time" at user-scheduled, high-risk smoking situations. Through an iterative design process, informed by quantitative and qualitative formative research, we developed a smoking cessation JITAI tailored specifically for KAEA smokers. Further testing is under way to optimize future versions of the app with the most effective intervention strategies and decision rules. MyQuit USC has the potential to provide cessation support in real-world settings, when KAEAs need them the most.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 21%
Researcher 13 13%
Student > Bachelor 11 11%
Student > Master 9 9%
Student > Doctoral Student 7 7%
Other 10 10%
Unknown 29 29%
Readers by discipline Count As %
Psychology 24 24%
Medicine and Dentistry 12 12%
Computer Science 9 9%
Social Sciences 7 7%
Nursing and Health Professions 5 5%
Other 7 7%
Unknown 36 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 January 2017.
All research outputs
#20,397,576
of 22,947,506 outputs
Outputs from International Journal of Behavioral Medicine
#870
of 904 outputs
Outputs of similar age
#356,679
of 421,569 outputs
Outputs of similar age from International Journal of Behavioral Medicine
#16
of 18 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 904 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,569 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.