Translational Behavioral Medicine

, Volume 4, Issue 4, pp 382–390

Five population-based interventions for smoking cessation: a MOST trial

  • D Fraser
  • K Kobinsky
  • S S Smith
  • J Kramer
  • W E Theobald
  • T B Baker
Original Research

ABSTRACT

Little is known about the relative, additive, and interactive effects of different population-based treatments for smoking cessation. The goal of this study was to evaluate the main and interactive effects of five different smoking interventions. Using the multiphase optimization strategy (MOST), 1,034 smokers who entered a Web site for smokers (smokefree.gov) were randomly assigned to the “on” and “off” conditions of five smoking cessation interventions: the National Cancer Institute’s (NCI) Web site (www.smokefree.gov vs a “lite” Web site), telephone quitline counseling (vs none), a smoking cessation brochure (vs a lite brochure), motivational e-mail messages (vs none), and mini-lozenge nicotine replacement therapy (NRT vs none). Analyses showed that the NCI Web site and NRT both increased abstinence; however, the former increased abstinence significantly only when it was not used with the e-mail messaging intervention (messaging decreased Web site use). The other interventions showed little evidence of effectiveness. There was evidence that mailed nicotine mini-lozenges and the NCI Web site (www.smokefree.gov) provide benefit as population-based smoking interventions.

KEYWORDS

Smoking cessation Web site evaluation MOST research Telephone quitline Nicotine replacement 

Supplementary material

13142_2014_278_MOESM1_ESM.docx (15 kb)
ESM 1(DOCX 14 kb)
13142_2014_278_MOESM2_ESM.docx (19 kb)
Supplementary Table 1(DOCX 19 kb)

Copyright information

© Society of Behavioral Medicine 2014

Authors and Affiliations

  • D Fraser
    • 1
  • K Kobinsky
    • 1
  • S S Smith
    • 1
  • J Kramer
    • 1
  • W E Theobald
    • 1
  • T B Baker
    • 1
  1. 1.Center for Tobacco Research and InterventionUniversity of Wisconsin School of Medicine and Public HealthMadisonUSA

Personalised recommendations