%0杂志文章@ 1438- 8871% I Gunther Eysenbach %V 14% N 3% P 82% T基于web的多重定制戒烟计划的有效性:在荷兰成年吸烟者中的随机对照试验%A Smit,Eline Suzanne %A de Vries,Hein %A Hoving,Ciska %+健康促进系，马斯特里赫特大学，PO Box 616，马斯特里赫特，6200 MD，荷兰，31 433882397,es.smit@maastrichtuniversity.nl %K戒烟%K网络干预%K计算机裁剪%K迭代反馈%K干预%K随机对照试验%D 2012 %7 11.06.2012 %9原始论文%J J医学互联网Res %G英文%X背景:通过互联网分发多种计算机定制的戒烟干预对提供者和接受者都有几个好处。最重要的是，可以接触到大量的吸烟者，同时保持高度个性化和个人形式的反馈。然而，这样的戒烟计划尚未在荷兰制定和实施。目的:研究基于网络的多种计算机定制戒烟计划对荷兰成年吸烟者戒烟结果的影响。方法:从2009年12月到2010年6月，通过在大众媒体和互联网上宣传我们的研究，招募吸烟者。那些有兴趣并有动力在6个月内戒烟的人(N = 1123)被随机分配到实验组(N = 552)或对照组(N = 571)。试验组的受访者接受了完全自动化的基于网络的戒烟计划，而对照组的受访者没有接受任何干预。6周后和6个月后，我们用逻辑回归分析评估了干预对自我报告的24小时点流行性禁欲、7天点流行性禁欲和延长性禁欲的影响。 Results: Of the 1123 respondents, 449 (40.0%) completed the 6-week follow-up questionnaire and 291 (25.9%) completed the 6-month follow-up questionnaire. We used a negative scenario to replace missing values. That is, we considered respondents lost to follow-up to still be smoking. The computer-tailored program appeared to have significantly increased 24-hour point prevalence abstinence (odds ratio [OR] 1.85, 95% confidence interval [CI] 1.30–2.65), 7-day point prevalence abstinence (OR 2.17, 95% CI 1.44–3.27), and prolonged abstinence (OR 1.99, 95% CI 1.28–3.09) rates reported after 6 weeks. After 6 months, however, no intervention effects could be identified. Results from complete-case analyses were similar. Conclusions: The results presented suggest that the Web-based computer-tailored smoking cessation program had a significant effect on abstinence reported after a 6-week period. At the 6-month follow-up, however, no intervention effects could be identified. This might be explained by the replacement of missing values on the primary outcome measures due to attrition using a negative scenario. While results were similar when using a less conservative scenario (ie, complete-case analyses), the results should still be interpreted with caution. Further research should aim at identifying strategies that will prevent high attrition in the first place and, subsequently, to identify the best strategies for dealing with missing data when studies have high attrition rates. Trial Registration: Dutch Trial Register NTR1351; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1351 (Archived by WebCite at http://www.webcitation.org/67egSTWrz) %M 22687887 %R 10.2196/jmir.1812 %U //www.mybigtv.com/2012/3/e82/ %U https://doi.org/10.2196/jmir.1812 %U http://www.ncbi.nlm.nih.gov/pubmed/22687887