Effectiveness of video- versus text-based computer-tailored smoking cessation interventions among smokers after one year

NE Stanczyk, H. Vries de, MJJM Candel, JWM Muris, C. Bolman

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Background:
    In western countries, smoking prevalence rates are high among smokers unmotivated to quit and those with a lower socioeconomic status (LSES). Multiple computer tailoring and the use of audio-visual aids may improve such interventions and increase cessation in LSES smokers. This study assessed the 12-month effectiveness of a video- and text-based computer-tailored intervention.

    Methods:
    A randomized controlled trial in the Netherlands was used in which smokers were allocated to the video-based condition (VC) (N = 670), the text-based condition (TC) (N = 708) or the control condition (CC) (brief generic text advice) (N = 721). After 12 months, self-reported prolonged abstinence was assessed and biochemically verified in respondents indicating to have quit smoking. Three analysis strategies were used to assess the effects: (1) multiple imputation (MI); (2) intention-to-treat (ITT); (3) complete case analysis (CC).

    Results:
    VC was more effective in prolonged abstinence compared to CC (odds ratio (OR) = 1.90, p = .005) and the text-based condition (OR = 1.71, p = .01). VC was furthermore more effective than TC. No differences were found for SES and motivational levels. Results were similar when using ITT and CC. For our secondary outcome seven-day point prevalence abstinence; however, neither VC (OR = 1.17, p = .34) or TC (OR = 0.91, p = .52) outperformed the CC.

    Conclusion:
    The video-based computer-tailored intervention was effective in obtaining substantial long-term abstinence compared to the text-based version and a brief generic text advice.
    Original languageEnglish
    Pages (from-to)42-50
    Number of pages9
    JournalPreventive Medicine
    Volume82
    DOIs
    Publication statusPublished - Jan 2016

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