Bolman Catherine, Eggers Sander Matthijs, van Osch Liesbeth, Te Poel Fam, Candel Math, de Vries Hein
a Faculty of Psychology and Educational Sciences, Open University of the Netherlands , Heerlen , The Netherlands.
b Department of Health Promotion, Maastricht University , Maastricht , The Netherlands.
Subst Use Misuse. 2015;50(10):1249-60. doi: 10.3109/10826084.2014.977397. Epub 2015 Oct 6.
The aim of this study was to examine the efficacy of a web-assisted computer-tailored smoking cessation intervention, an action planning (AP) intervention in which potential quitters were encouraged to form action plans (e.g., plan a quit date) and execute them (e.g., remove ashtrays). We also investigated whether the AP intervention resulted in more AP and plan execution than a similar, control intervention without the supplementary AP component.
In a randomized controlled trial, the AP intervention (N = 977) was compared with the control intervention (N = 1,005) in terms of self-reported continued abstinence (CA) and point prevalence abstinence (PPA) six months after baseline. AP, plan execution, and opinion of the intervention were measured one month after baseline.
Complete-case logistic regression analysis showed that the AP intervention had a significant effect on CA (OR = 2.01; CI 1.08-3.84, p = .02), whereas intention-to-treat analysis showed a borderline significant effect (OR = 1.68; CI .96-2.92, p = .07). Sixteen percent of the experimental group achieved CA compared to 10% of the control group. The AP intervention had no effect on PPA. The experimental group also showed significantly more AP and plan execution at one month. Execution of plans was associated with smoking cessation.
The effects of the AP intervention on CA, AP, and execution of plans were encouraging. The potential for widespread use of web-based interventions means that even small behavioral effects may have an impact on public health. We recommend that the intervention be intensified and improved.
本研究旨在检验一种网络辅助的计算机定制戒烟干预措施的效果，这是一种行动计划（AP）干预措施，鼓励潜在戒烟者制定行动计划（如确定戒烟日期）并付诸实施（如移除烟灰缸）。我们还调查了与无补充行动计划部分的类似对照干预措施相比，行动计划干预措施是否能带来更多的行动计划制定和计划执行。
在一项随机对照试验中，比较了行动计划干预组（N = 977）和对照组（N = 1,005）在基线后六个月的自我报告持续戒烟（CA）和点流行率戒烟（PPA）情况。在基线后一个月测量行动计划、计划执行情况以及对干预措施的看法。
完全病例逻辑回归分析表明，行动计划干预对持续戒烟有显著影响（OR = 2.01；CI 1.08 - 3.84，p = 0.02），而意向性分析显示有边缘显著影响（OR = 1.68；CI 0.96 - 2.92，p = 0.07）。实验组有16%的人实现了持续戒烟，而对照组为10%。行动计划干预对点流行率戒烟无影响。实验组在一个月时制定的行动计划和计划执行情况也显著更多。计划执行与戒烟相关。
行动计划干预对持续戒烟、行动计划制定和计划执行的效果令人鼓舞。基于网络的干预措施广泛应用的潜力意味着即使是微小的行为影响也可能对公共卫生产生影响。我们建议加强和改进该干预措施。
