Engagement promotes abstinence in a web-based cessation intervention

Cohort study

Amanda Richardson, Amanda L. Graham, Nathan Cobb, Haijun Xiao, Aaron Mushro, David Abrams, Donna Vallone

Research output: Contribution to journalReview article

Abstract

Background: Web-based smoking cessation interventions can have a public health impact because they are both effective in promoting cessation and can reach large numbers of smokers in a cost-efficient manner. Their potential impact, however, has not been realized. It is still unclear how such interventions promote cessation, who benefits most, and how to improve their population impact. Objective: To examine the effectiveness of a highly promoted Web-based smoking cessation intervention to promote quit behavior over time, identify the most effective features, and understand who is most likely to use those features by using unweighted and weighted analyses to estimate the impact in the broader pool of registered site users. Methods: A sample of 1033 new adult registrants was recruited from a Web-based smoking cessation intervention by using an automated study management system. Abstinence was assessed by self-report through a mixed-mode follow-up (online survey with telephone follow-up for nonrespondents) at 1, 3, and 6 months. Software tracked respondents' online activity. Generalized estimating equations (GEE) were used to examine predictors of website utilization and how utilization promoted abstinence using unweighted and weighted data. Results: The 7-day point prevalence abstinence rates at 6 months ranged from 20.68% to 11.13% in the responder and intent-to-treat samples, respectively. Predictors of abstinence in unweighted analyses included number of visits to the website as well as accessing specific interactive or engaging features. In weighted analyses, only number of visits was predictive of abstinence. Motivation to quit was a key predictor of website utilization, whereas negative partner support decreased the likelihood of increasing visits or accessing engaging features. Conclusions: Engagement is critical to promoting smoking cessation. The next generation of Web-based smoking cessation interventions needs to maximize the initial engagement of all new visitors and work to retain those smokers who proceed to register on the site.

Original languageEnglish (US)
Article numbere14
JournalJournal of Medical Internet Research
Volume15
Issue number1
DOIs
StatePublished - Jan 2013

Fingerprint

Smoking Cessation
Cohort Studies
Telephone
Self Report
Motivation
Software
Public Health
Costs and Cost Analysis
Population
Surveys and Questionnaires

Keywords

  • Internet
  • Intervention Studies
  • Smoking Cessation
  • Use Effectiveness

ASJC Scopus subject areas

  • Health Informatics

Cite this

Engagement promotes abstinence in a web-based cessation intervention : Cohort study. / Richardson, Amanda; Graham, Amanda L.; Cobb, Nathan; Xiao, Haijun; Mushro, Aaron; Abrams, David; Vallone, Donna.

In: Journal of Medical Internet Research, Vol. 15, No. 1, e14, 01.2013.

Research output: Contribution to journalReview article

Richardson, Amanda ; Graham, Amanda L. ; Cobb, Nathan ; Xiao, Haijun ; Mushro, Aaron ; Abrams, David ; Vallone, Donna. / Engagement promotes abstinence in a web-based cessation intervention : Cohort study. In: Journal of Medical Internet Research. 2013 ; Vol. 15, No. 1.
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abstract = "Background: Web-based smoking cessation interventions can have a public health impact because they are both effective in promoting cessation and can reach large numbers of smokers in a cost-efficient manner. Their potential impact, however, has not been realized. It is still unclear how such interventions promote cessation, who benefits most, and how to improve their population impact. Objective: To examine the effectiveness of a highly promoted Web-based smoking cessation intervention to promote quit behavior over time, identify the most effective features, and understand who is most likely to use those features by using unweighted and weighted analyses to estimate the impact in the broader pool of registered site users. Methods: A sample of 1033 new adult registrants was recruited from a Web-based smoking cessation intervention by using an automated study management system. Abstinence was assessed by self-report through a mixed-mode follow-up (online survey with telephone follow-up for nonrespondents) at 1, 3, and 6 months. Software tracked respondents' online activity. Generalized estimating equations (GEE) were used to examine predictors of website utilization and how utilization promoted abstinence using unweighted and weighted data. Results: The 7-day point prevalence abstinence rates at 6 months ranged from 20.68{\%} to 11.13{\%} in the responder and intent-to-treat samples, respectively. Predictors of abstinence in unweighted analyses included number of visits to the website as well as accessing specific interactive or engaging features. In weighted analyses, only number of visits was predictive of abstinence. Motivation to quit was a key predictor of website utilization, whereas negative partner support decreased the likelihood of increasing visits or accessing engaging features. Conclusions: Engagement is critical to promoting smoking cessation. The next generation of Web-based smoking cessation interventions needs to maximize the initial engagement of all new visitors and work to retain those smokers who proceed to register on the site.",
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