Literature DB >> 27318948

Engagement and abstinence among users of a smoking cessation text message program for veterans.

Dana E Christofferson1, Jeffrey S Hertzberg2, Jean C Beckham3, Paul A Dennis4, Kim Hamlett-Berry5.   

Abstract

BACKGROUND: SmokefreeVET is a text messaging smoking cessation program available to veterans enrolled in the Veterans Health Administration. SmokefreeVET was developed in collaboration with the National Cancer Institute as part of the SmokefreeTXT initiative.
PURPOSE: To evaluate the real world use of and effectiveness of the SmokefreeVET program for SmokefreeVET users who enrolled between 2013 and 2014.
METHODS: Demographics and smoking behavior of 1470 SmokefreeVET users who enrolled between 2013 and 2014 were analyzed. Latent growth mixture modeling was used to identify discrete classes of SmokefreeVET users based on engagement patterns. Multi-level modeling determined class differences in abstinence.
RESULTS: The average age of the SmokefreeVET user was 48, 75% of users were male, and 84% were daily smokers. After five weeks, 13% of all users reported abstinence from smoking. Five statistically distinct engagement classes of SmokefreeVET users were identified. Highly engaged classes were significantly less likely to opt-out and more likely to report abstinence. Over 60% of users who were classified as high engagers throughout the program reported abstinence 5weeks after their quit date. Users were more likely to report abstinence after two weeks if they used smoking cessation medication than those that did not use medication (OR=9.01, p<0.001).
CONCLUSIONS: SmokefreeVET may be effective at supporting abstinence among a real world group of highly engaged users. Smoking cessation medication use was also associated with abstinence in SmokefreeVET users. Engagement appears to be a critical component when assessing the efficacy of a text messaging smoking cessation intervention. Published by Elsevier Ltd.

Entities:  

Keywords:  Cessation; Engagement; Smoking; Tobacco; Veteran; mHealth

Mesh:

Year:  2016        PMID: 27318948      PMCID: PMC5144826          DOI: 10.1016/j.addbeh.2016.06.016

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


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3.  Goodness-of-Fit Testing for Latent Class Models.

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7.  Determinants of attrition from cessation treatment in smokers with a history of major depressive disorder.

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8.  Tobacco use among Iraq- and Afghanistan-era veterans: a qualitative study of barriers, facilitators, and treatment preferences.

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  11 in total

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Review 2.  Using Mobile Health (mHealth) Technology in the Management of Diabetes Mellitus, Physical Inactivity, and Smoking.

Authors:  Hasan Rehman; Ayeesha K Kamal; Saleem Sayani; Pamela B Morris; Anwar T Merchant; Salim S Virani
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3.  Collecting outcome data of a text messaging smoking cessation intervention with in-program text assessments: How reliable are the results?

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7.  Engagement Within a Mobile Phone-Based Smoking Cessation Intervention for Adolescents and its Association With Participant Characteristics and Outcomes.

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10.  Nurse-Driven mHealth Implementation Using the Technology Inpatient Program for Smokers (TIPS): Mixed Methods Study.

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