Schumann Anja, John Ulrich, Baumeister Sebastian E, Ulbricht Sabina, Rumpf Hans-Jürgen, Meyer Christian
Division on Addictions, Cambridge Health Alliance, Medford, MA 02155, USA.
Nicotine Tob Res. 2008 Feb;10(2):371-9. doi: 10.1080/14622200701825767.
This study reports the outcome of a randomized controlled trial testing a computer-tailored smoking cessation intervention based on the transtheoretical model in a general population setting in Germany. Participants of the smoking intervention study were recruited from an existing general population health examination survey in a university hospital. The sample consisted of 611 current and former smokers at baseline, and of 485 participants in the core group of baseline daily cigarette smokers. Follow-ups were conducted 6, 12, 18, and 24 months after baseline. The intervention was designed for both current and former smokers, involved up to three individualized feedback letters, and was created using expert-system technology. Based on 7-day point-prevalence abstinence and 6-month prolonged abstinence as the outcome measures, the study identified no significant differences between the intervention and control groups. Modeling the full longitudinal data in generalized estimation equation analyses, using different nonresponse procedures, and adjusting for covariates did not alter the results. We conclude that the computer-tailored transtheoretical model-based smoking cessation intervention, as delivered in this study and in this special setting, was ineffective.
本研究报告了一项随机对照试验的结果，该试验在德国的普通人群中测试了一种基于跨理论模型的计算机定制戒烟干预措施。吸烟干预研究的参与者是从大学医院现有的普通人群健康检查调查中招募的。样本在基线时包括611名当前吸烟者和曾经吸烟者，核心组中有485名基线时每日吸烟的参与者。在基线后的6、12、18和24个月进行随访。该干预措施针对当前吸烟者和曾经吸烟者设计，包括多达三封个性化反馈信，并使用专家系统技术创建。以7天点患病率戒烟和6个月持续戒烟作为结果指标，研究发现干预组和对照组之间没有显著差异。在广义估计方程分析中对完整的纵向数据进行建模，使用不同的无应答处理方法，并对协变量进行调整，结果并未改变。我们得出结论，在本研究及这种特殊环境中实施的基于跨理论模型的计算机定制戒烟干预措施无效。
