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Evaluation of a Mass Media Campaign Promoting Using Help to Quit Smoking
Filetype[PDF - 471.46 KB]


Details:
  • Pubmed ID:
    24745639
  • Pubmed Central ID:
    PMC4023347
  • Funding:
    1U58DP002633-01/DP/NCCDPHP CDC HHS/United States
    P50 CA095856/CA/NCI NIH HHS/United States
    P50CA095856/CA/NCI NIH HHS/United States
  • Document Type:
  • Collection(s):
  • Description:
    Background

    Although there is evidence that promoting individual cessation aids increases their utilization, mass media campaigns highlighting the benefit of using help to quit have not been evaluated.

    Purpose

    To analyze the effects of a Philadelphia adult smoking–cessation media campaign targeting using help in ad taglines from March–November 2012. This study distinctively analyzed the campaign’s impact at both the population level (effects on the average person) and the individual level (effects among those who reported exposure).

    Methods

    The 16-month mass media campaign aired in Philadelphia PA from December 2010 to March 2012. A representative sample of adult Philadelphia smokers was interviewed by telephone at baseline (n=491) and new samples were interviewed monthly throughout the campaign (n=2786). In addition, a subsample of these respondents was reinterviewed 3 months later (n=877).

    Results

    On average, participants reported seeing campaign ads four times per week. Among individual respondents, each additional campaign exposure per week increased the likelihood of later reporting using help (OR=1.08, p<0.01), adjusting for baseline use of help and other potential confounders. This corresponded to a 5% increase in the use of help for those with average exposure relative to those with no exposure. Cross-sectional associations between individual campaign exposure and intentions to use help were consistent with these lagged findings. However, there was no evidence of population-level campaign effects on use of help.

    Conclusions

    Although the campaign was effective at the individual level, its effects were too small to have a population-detectable impact.