A Systematic Review of Randomized Controlled Trials: Web-Based Interventions for Smoking Cessation Among Adolescents, College Students, and Adults

Hutton, Heidi E.; Wilson, Lisa M; Apelberg, Benjamin J.; Tang, Erika Avila; Odelola, Olaide A; Bass, Eric B.; Chander, Geetanjali

doi:10.1093/ntr/ntq252

Cited by 121 publications

(118 citation statements)

References 32 publications

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“…Behavioral treatments reach fewer than 5% of smokers who try to quit (Shiffman, Brockwell, Pillitteri, & Gitchell, 2008). Fortunately, web-based interventions are an innovative behavioral treatment modality delivered at low cost and with potentially high population-level reach (Berg, 2011;Civljak, Sheikh, Stead, & Car, 2010;Hutton et al, 2011). Indeed, approximately 10% of Internet users in the United States access information about how to quit smoking on the web (Fox, 2005).…”

Section: Introductionmentioning

confidence: 99%

Pilot Randomized Controlled Trial of Web-Based Acceptance and Commitment Therapy for Smoking Cessation

Bricker

Wyszynski

Comstock

et al. 2013

Nicotine & Tobacco Research

148

144

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Objective: Web-based smoking cessation interventions have high reach, but low effectiveness. To address this problem, we conducted a pilot randomized controlled trial of the first web-based acceptance and commitment therapy (ACT) intervention for smoking cessation. The aims were to determine design feasibility, user receptivity, effect on 30-day point prevalence quit rate at 3 months post-randomization, and mediation by ACT theory-based processes of acceptance.Methods: Adult participants were recruited nationally into the double-blind randomized controlled pilot trial (N = 222), which compared web-based ACT for smoking cessation (WebQuit.org) with the National Cancer Institute's Smokefree.gov-the U.S. national standard for web-based smoking cessation interventions.results: We recruited 222 participants in 10 weeks. Participants spent significantly longer on the ACT WebQuit.org site per login (18.98 vs. 10.72 min; p = .001) and were more satisfied with the site (74% vs. 42%; p =.002). Using available follow-up data, more than double the fraction of participants in the ACT WebQuit.org arm had quit smoking at the 3-month follow-up (23% vs. 10%; OR = 3.05; 95% CI = 1.01-9.32; p = .050). Eighty percent of this effect was mediated by ACT theory-based increases in total acceptance of physical, cognitive, and emotional cues to smoke (p < .001). Conclusions:The trial design was feasible. Compared with Smokefree.gov, ACT had higher user receptivity and short-term cessation, and strong evidence of theory-based mechanisms of change. While results were promising, they were limited by the pilot design (e.g., limited follow-up), and thus a full-scale efficacy trial is now being conducted.

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Section: Introductionmentioning

confidence: 99%

Pilot Randomized Controlled Trial of Web-Based Acceptance and Commitment Therapy for Smoking Cessation

Bricker

Wyszynski

Comstock

et al. 2013

Nicotine & Tobacco Research

148

144

View full text Add to dashboard Cite

show abstract

“…However, as recent reviews demonstrate, the evidence base for these programs among adult smokers is mixed (Berg, 2011;Civljak, Sheikh, Stead, & Car, 2010;Hutton et al, 2011;Myung, McDonnell, Kazinets, Seo, & Moskowitz, 2009). Internet-based cessation programs can be effective compared to control intervention Brendryen & Kraft, 2008;Haug, Meyer, & John, 2011;Nath Simmons, Heckman, Fink, Small, & Brandon, 2013;Swartz, Noell, Schroeder, & Ary, 2006), but they are not always (Dezee, Wink, & Cowan, 2013;Japuntich et al, 2006;Oenema, Brug, Dijkstra, de Weerdt, & de Vries, 2008;Pisinger, Jorgensen, Moller, Dossing, & Jorgensen, 2010).…”

Section: Introductionmentioning

confidence: 99%

Exploring the “Active Ingredients” of an Online Smoking Intervention: A Randomized Factorial Trial

McClure

Peterson

Derry

et al. 2014

Nicotine &Amp; Tobacco Research

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“…The use of Internet-based interventions, mobile phone applications, and social media interventions have yielded mixed results. [7][8][9] However, a novel intervention using photoageing technology has been shown to be an effective trigger for behavioural change. 10,11 The intervention involves taking a picture of the participant's face, and digitally ageing the image through the use of wrinkling/ageing algorithms to produce a picture of the participant as an aged smoker.…”

Section: Researchmentioning

confidence: 99%

What is the scope to test a smoking cessation intervention aimed at young people admitted to hospital?

Tambakis¹,

Darby²,

Jiwa³

2017

JHD

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SUMMARY The hospital setting introduces a number of challenges to implementing this type of intervention, including recruitment barriers and high attrition rates.  Patient engagement in smoking cessation is likely to be affected by the reason for admission and patients' stage of change  To be successful, smoking cessation interventions may need to be tailored to the patients' degree of motivation, as evidenced by their stage of change Key WordsSmoking cessation; interventions; photoageing ABSTRACT BackgroundYoung adults are reluctant to use evidence-based smoking cessation interventions. Subsequently, they are less successful at giving up smoking compared to older adults. This highlights the need for innovative strategies to engage young people in smoking cessation. A novel intervention using photoageing technology has been shown to be an effective trigger for smoking cessation. AimsTo conduct a pilot study deploying photoageing technology to trigger smoking cessation attempts in young adults admitted to hospital. MethodA randomised controlled trial was designed. Thirty participants were recruited from a regional hospital in Melbourne, Australia. Participants were allocated to the intervention and control groups on alternate weeks. All participants received brief smoking cessation advice. The intervention group was digitally aged using the APRIL Face Aging Software. The primary outcomes were measured at six weeks' post-intervention and included number of quit attempts, nicotine dependence, and progression through the stages of change model. ResultsAt six weeks' post-intervention, there was no difference in quit attempts between the two groups (Mann-Whitney U=111 and p=0.484). There was also no difference in nicotine dependence (Mann-Whitney U=106 and p=0.403) or stage of change ( 2 =1.71 and p=0.634) between the groups. ConclusionHospitalisation is associated with a number of barriers, which prevent the implementation of photoageing technology in this setting. Of these barriers, participant recruitment and retention pose the greatest challenge. Due to these considerations, it was not possible to demonstrate an effect size with any confidence. BACKGROUNDCigarette smoke is the leading cause of preventable death and disease in Australia.

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A Systematic Review of Randomized Controlled Trials: Web-Based Interventions for Smoking Cessation Among Adolescents, College Students, and Adults

Cited by 121 publications

References 32 publications

Pilot Randomized Controlled Trial of Web-Based Acceptance and Commitment Therapy for Smoking Cessation

Pilot Randomized Controlled Trial of Web-Based Acceptance and Commitment Therapy for Smoking Cessation

Exploring the “Active Ingredients” of an Online Smoking Intervention: A Randomized Factorial Trial

What is the scope to test a smoking cessation intervention aimed at young people admitted to hospital?

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