An Internet-based abstinence reinforcement smoking cessation intervention in rural smokers

https://doi.org/10.1016/j.drugalcdep.2009.06.010Get rights and content

Abstract

The implementation of cigarette smoking abstinence reinforcement programs may be hindered by the time intensive burden placed on patients and treatment providers. The use of remote monitoring and reinforcement of smoking abstinence may enhance the accessibility and acceptability of this intervention, particularly in rural areas where transportation can be unreliable and treatment providers distant. This study determined the effectiveness of an Internet-based abstinence reinforcement intervention in initiating and maintaining smoking abstinence in rural smokers. Sixty-eight smokers were enrolled to evaluate the efficacy of an Internet-based smoking cessation program. During the 6-week intervention period, all participants were asked to record 2 videos of breath carbon monoxide (CO) samples daily. Participants also typed the value of their CO readings into web-based software that provided feedback and reinforcement based on their smoking status. Participants (n = 35) in the Abstinence Contingent (AC) group received monetary incentives contingent on recent smoking abstinence (i.e., CO of 4 parts per million or below). Participants (n = 33) in the Yoked Control (YC) group received monetary incentives independent of smoking status. Participants in the AC group were significantly more likely than the YC group to post negative CO samples on the study website (OR = 4.56; 95% CI = 2.18–9.52). Participants assigned to AC were also significantly more likely to achieve some level of continuous abstinence over the 6-week intervention compared to those assigned to YC. These results demonstrate the feasibility and short-term efficacy of delivering reinforcement for smoking abstinence over the Internet to rural populations.

Section snippets

Tobacco use and smoking-related disease

Tobacco use and smoking-related disease is a top public health problem in the United States. In 2007, an estimated 60.1 million adults (24.2% of the population) in the United States were current (i.e., using within the past month) cigarette smokers (Substance Abuse and Mental Health Administration [SAMHSA], 2008). Cigarette smoking is more prevalent in rural areas than in non-rural areas and actually increased in prevalence in completely rural areas from 23.3% in 2005 to 30.1% in 2006 (SAMHSA,

Participants

Sixty-eight smokers, ages 18 and older, were randomly assigned to either the AC or YC group (described below). An additional 16 smokers were screened but were not enrolled either because they did not meet criteria or decided they did not want to take part in the intervention. Subjects were recruited by advertisement in local media and by word of mouth. Table 1 displays demographic characteristics for the two groups. To be considered eligible, participants had to report smoking 10 or more

Study retention and data collection rates

Cox survival analysis failed to detect a difference in terms of study retention across groups (hazard ratio = 1.49, p = 0.54). A total of 10 participants withdrew during participation, 6 from the AC group and 4 from the YC group. Fig. 1 shows the retention curves for both groups. Participants in the AC group completed an average of 36.3 ± 2.3 days and those in the YC group completed an average of 38.7 ± 1.7 days in the intervention.

GEE did not reveal a significant effect of group on odds of posting

Discussion

The results of this study demonstrate the feasibility of using the Internet to promote smoking cessation in rural Kentuckians. To the best of our knowledge, this is the first study to use a randomized, controlled design to also demonstrate that participation in the active portion of an abstinence reinforcement intervention over the Internet promotes smoking cessation. Participants were retained for over 85% of study days on average and over two-thirds of expected videos were recorded. Given

Conflicts of interest

All authors declare no conflicts of interest pertaining to this project.

Acknowledgements

This study was funded by NCI grant R21CA124881; the NCI had no further role in study design; in the collection, analysis or interpretation of data; in the writing of this report; or in the decision to submit the paper for publication.

Authors Wong and Dallery designed the study with guidance in conducting smoking cessation research in rural communities from Authors Schoenberg and Martin. Author Fields collected all data. Author Casey provided the infrastructure necessary for the conduct of the

References (43)

  • C.J. Correia et al.

    The use of contingency management to reduce cigarette smoking among college students

    Exp. Clin. Psychopharmacol.

    (2006)
  • J. Dallery et al.

    Effects of a voucher reinforcement program for smoking cessation: a feasibility study

    J. Appl. Behav. Anal.

    (2005)
  • R.J. Donatelle et al.

    Randomized controlled trial using social support and financial incentives for high risk pregnant smokers: significant other support (SOS) program

    Tob. Control

    (2000)
  • M.S. Eberhardt et al.

    The importance of place of residence: examining health in rural and nonrural areas

    Am. J. Public Health

    (2004)
  • G.H. Friedell et al.

    Community cancer control in a rural, underserved population: the Appalachian leadership initiative on cancer project

    J. Health Care Poor Underserved

    (2001)
  • L.D. Gamm

    Mental health and substance abuse services among rural minorities

    J. Rural Health

    (2004)
  • I.M. Glenn et al.

    Effects of internet-based voucher reinforcement and a transdermal nicotine patch on cigarette smoking

    J. Appl. Behav. Anal.

    (2007)
  • S.T. Higgins et al.

    A pilot study on voucher-based incentives to promote abstinence from cigarette smoking during pregnancy and postpartum

    Nicotine Tob Res.

    (2004)
  • Horrigan, J., Murray, K., 2006. Rural broadband internet use. Pew Internet and American Life Project. Available at:...
  • M.A. Javors et al.

    Cut-off levels for breath carbon monoxide as a marker for cigarette smoking

    Addiction

    (2005)
  • R.J. Lamb et al.

    Shaping reduced smoking in smokers without cessation plans

    Exp. Clin. Psychopharmacol.

    (2005)
  • Cited by (84)

    • The effectiveness of smoking cessation interventions in rural and remote populations: Systematic review and meta-analyses

      2022, International Journal of Drug Policy
      Citation Excerpt :

      Of the 16 included studies, eight were RCTs (Bullock et al., 2009; Choi et al., 2016; Cunningham & Kushnir, 2017; Marley et al., 2014; Stoops et al., 2009; Vander Weg et al., 2016; White et al., 2013; Zanis et al., 2011), three were randomised trials (Harris & Reynolds, 2015; Noonan et al., 2018; Richter et al., 2015), and five were cluster RCTs (Dahne et al., 2020; Ferketich et al., 2014; Hancock et al., 2001; Jayakrishnan et al., 2013; Schoenberg et al., 2016). In relation to the type of interventions explored, two studies included individual face-to-face counselling interventions (Marley et al., 2014; Zanis et al., 2011), two evaluated NRT (Cunningham & Kushnir, 2017; Dahne et al., 2020), two examined antenatal telephone-based interventions (Bullock et al., 2009; Harris & Reynolds, 2015), two investigated community-based multi-component interventions (Hancock et al., 2001; Jayakrishnan et al., 2013), two studied telephone counselling (Ferketich et al., 2014; Vander Weg et al., 2016), two examined competition/monetary based interventions (Stoops et al., 2009; White et al., 2013), and one study each assessed group face-to-face counselling (Schoenberg et al., 2016), text-based interventions (Noonan et al., 2018), individual-focused multiple-component interventions (Choi et al., 2016) and video counselling (Richter et al., 2015). Ten studies were conducted in the USA (Bullock et al., 2009; Choi et al., 2016; Dahne et al., 2020; Ferketich et al., 2014; Harris & Reynolds, 2015; Noonan et al., 2018; Richter et al., 2015; Schoenberg et al., 2016; Stoops et al., 2009; Vander Weg et al., 2016), two in Australia (Hancock et al., 2001; Marley et al., 2014), two in Canada (Cunningham & Kushnir, 2017; Zanis et al., 2011), one in India (Jayakrishnan et al., 2013), and one in Thailand (White et al., 2013).

    • Remotely delivered incentives to promote buprenorphine treatment engagement in out-of-treatment adults with opioid use disorder

      2021, Drug and Alcohol Dependence
      Citation Excerpt :

      The procedure required patients to remotely video record collection of breath samples with a carbon monoxide monitor, and delivered incentives through a web-based platform (Dallery et al., 2013). This intervention has been shown to be effective in promoting smoking cessation (Dallery and Glenn, 2005; Dallery et al., 2013; Reynolds et al., 2008; Stoops et al., 2009), including in a nationwide study of smokers from around the United States (Dallery et al., 2017). To facilitate dissemination, another approach used mobile technology to implement incentive interventions for cigarette smoking (Alessi et al., 2017), alcohol use disorder (Alessi and Petry, 2013; Koffarnus et al., 2018), and cannabis use disorder (Beckham et al., 2018).

    View all citing articles on Scopus
    View full text