Get with the program: Adherence to a smartphone app for smoking cessation. (December 2016)

• Record Type: Journal Article
• Authors: Zeng, Emily Y.; Heffner, Jaimee L.; Copeland, Wade K.; Mull, Kristin E.; Bricker, Jonathan B.
• Is Part Of: Addictive behaviors. Volume 63(2016)
• Page Start: 120
• Page End: 124
• Publication Date: 2016-12
• Subjects: mHealth -- Adherence -- Smoking cessation -- Tobacco -- Nicotine -- Apps -- Smartphone; Substance abuse -- Periodicals; Alcoholism -- Periodicals; Drug addiction -- Periodicals; Nicotine addiction -- Periodicals; Smoking -- Periodicals; Gambling -- Psychological aspects -- Periodicals; Electronic journals; 362.29
• DOI: 10.1016/j.addbeh.2016.07.007
• Languages: English
• ISSNs: 0306-4603

Abstract

Abstract: Introduction: Although engagement is generally predictive of positive outcomes in technology-based behavioral change interventions, engagement measures remain largely atheoretical and lack treatment-specificity. This study examines the extent to which adherence measures based on the underlying behavioral change theory of an Acceptance and Commitment Therapy (ACT) app for smoking cessation predict smoking outcomes, and user characteristics associated with adherence. Methods: Study sample was adult daily smokers in a single arm pilot study (n = 84). Using the app's log file data, we examined measures of adherence to four key components of the ACT behavior change model as predictors of smoking cessation and reduction. We also examined baseline user characteristics associated with adherence measures that predict smoking cessation. Results: Fully adherent users (24%) were over four times more likely to quit smoking (OR = 4.45; 95% CI = 1.13, 17.45; p = 0.032). Both an increase in tracking the number of urges passed (OR = 1.02; 95% CI = 1.00, 1.03; p = 0.043) and ACT modules completed (OR = 1.27; 95% CI = 1.01, 1.60; p = 0.042) predicted cessation. Lower baseline acceptance of cravings was associated with over four times higher odds of full adherence (OR = 4.59; 95% CI = 1.35, 15.54; p = 0.014). Conclusions: Full adherence and use of specific ACT theory-based components of the app predicted quitting. Consistent with ACT theory, users with low acceptance were most likely to adhere to the app. Further research is needed on ways to promote app engagement. Highlights: Study identified empirically and theoretically-informed measures of engagement in a smoking cessation app. Fully adherent users (24%) to the smoking cessation app program were over four times more likely to quit smoking. Lower acceptance of cravings to smoke was a predictor of full adherence to the app program. Research is needed on methods to promote engagement with app components predictive of desired smoking cessation outcomes.