Web-based smoking-cessation programs - Results of a randomized trial
Web-based smoking-cessation programs - Results of a randomized trial
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DOI：
10.1016/j.amepre.2007.12.024
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发表时间：
2008-05-01
影响因子：
5.5
通讯作者：
Pomerleau, Ovide F.
中科院分区：
文献类型：
--
作者：
Strecher, Victor J.;McClure, Jennifer B.;Pomerleau, Ovide F.
背景：基于网络的戒烟计划的初步试验总体上是有希望的。然而，这些方案的积极组成部分并不很清楚。本研究旨在（1）确定基于网络的戒烟干预的积极心理社会和沟通成分，（2）检查增加定制深度对戒烟的影响。设计：随机部分因子设计。设置：两个HMO：华盛顿州的团体健康和密歇根州的亨利福特健康系统。参与者：1866名吸烟者。干预：一个基于网络的戒烟计划加上尼古丁贴片。采用部分析因设计对干预的五个组成部分进行了随机化：高与低深度定制的成功故事、结果预期和疗效预期信息;高与低个性化来源;以及多次与单次暴露于干预组成部分。测量：主要结果是6个月随访时的7天点患病率禁欲。禁欲最受深度定制的成功故事和高度个性化的消息来源的影响。三个剪裁深度因素的累积分配也导致6个月的戒烟率增加，表现出剪裁深度的影响。结论：该研究确定了戒烟干预措施的相关组成部分，应推广到其他戒烟干预措施。这项研究还表明了在戒烟计划中更深入的剪裁的重要性。最后，使用一种新的部分析因设计，可以有效地检查研究目的。快速变化的接口，软件和电子健康的能力可能需要这样的动态实验方法来干预发现。
Background: Initial trials of web-based smoking-cessation programs have generally been promising. The active components of these programs, however, are not well understood. This study aimed to (1) identify active psychosocial and communication components of a web-based smoking-cessation intervention and (2) examine the impact of increasing the tailoring depth on smoking cessation.Design: Randomized fractional factorial design.Setting: Two HMOs: Group Health in Washington State and Henry Ford Health System in Michigan.Participants: 1866 smokers.Intervention: A web-based smoking-cessation program plus nicotine patch. Five components of the intervention were randomized using a fractional factorial design: high- versus low-depth tailored success story, outcome expectation, and efficacy expectation messages; high- versus low-personalized source; and multiple versus single exposure to the intervention components.Measurements: Primary outcome was 7 day point-prevalence abstinence at the 6-month follow-up.Findings: Abstinence was most influenced by high-depth tailored success stories and a high-personalized message source. The cumulative assignment of the three tailoring depth factors also resulted in increasing the rates of 6-month cessation, demonstrating an effect of tailoring depth.Conclusions: The study identified relevant components of smoking-cessation interventions that should be generalizable to other cessation interventions. The study also demonstrated the importance of higher-depth tailoring in smoking-cessation programs. Finally, the use of a novel fractional factorial design allowed efficient examination of the study aims. The rapidly changing interfaces, software, and capabilities of eHealth are likely to require such dynamic experimental approaches to intervention discovery.