Tailoring Depth in Web-based Smoking Interventions

定制基于网络的吸烟干预措施的深度

• 批准号: 6945734
• 负责人: VICTOR J STRECHER
• 金额: $ 52.97万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-06 至 2007-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6945734
• 关键词: Internet; behavior therapy; behavioral /social science research tag; clinical research; computer assisted patient care; computer program /software; computer system design /evaluation; educational resource design /development; human subject; human therapy evaluation; interactive multimedia; outcomes research; patient oriented research; self help; smoking cessation; telemedicine

DESCRIPTION (provided by applicant): While the theoretical basis and effectiveness of print-based, tailored smoking cessation interventions have been examined in numerous studies, very little research has been conducted on the effectiveness of computer-tailored smoking cessation interventions delivered via the World Wide Web. Further, researchers in public health communications have little knowledge about the active ingredients of tailoring, the components that contribute to its effectiveness. This project proposes to examine the significance of a potential active ingredient: depth of tailoring. Depth of tailoring refers to the level of detail of tailoring and the interactions among theory-based tailoring constructs. A low-depth intervention may generate thousands of message combinations, while a high-depth program may generate billions of variations. High-depth interventions can create extensively tailored cessation messages, but do they result in better outcomes? Is it worth the time and energy to develop such comprehensive interventions? In a randomized 1x3 factorial design among 3,000 smokers, the study will compare the effectiveness of low versus medium-versus high-depth of tailoring in achieving 12-month smoking cessation rates. The study will also examine the impact of tailoring depth on smoking reduction, stage of change, and baseline characteristics such as gender, income, and education. The study will collaborate with Henry Ford Health System of Detroit to recruit participants and to implement the web-based interventions. As the number of web-based cessation programs increases and more people turn to the World Wide Web for health information, a highly interactive medium which is capable of reaching large numbers of smokers at any time and at little cost, we believe the field is posed to examine specific aspects of tailoring that influence its effectiveness in web-based smoking cessation interventions. Such research may provide understanding of why some tailored interventions positively influence cessation and insight into how to create other highly effective tailored interventions.

描述（由申请人提供）：虽然基于打印的定制戒烟干预措施的理论基础和有效性已在许多研究中进行了检查，但对通过万维网提供的计算机定制戒烟干预措施的有效性进行的研究很少。此外，公共卫生传播的研究人员对剪裁的有效成分知之甚少，这些成分有助于其有效性。 本项目拟研究一种潜在活性成分的重要性：剪裁的深度。裁剪的深度是指裁剪的详细程度和基于理论的裁剪结构之间的相互作用。低深度的干预可能会产生数千种信息组合，而高深度的程序可能会产生数十亿种变化。深入的干预可以创造广泛定制的戒烟信息，但它们会产生更好的结果吗？是否值得花时间和精力制定这种全面的干预措施？在3,000名吸烟者中进行的随机1x 3析因设计中，该研究将比较低、中、高深度定制在实现12个月戒烟率方面的有效性。该研究还将研究剪裁深度对减少吸烟的影响，变化阶段以及性别，收入和教育等基线特征。这项研究将与底特律的亨利福特卫生系统合作，招募参与者并实施基于网络的干预措施。随着基于网络的戒烟计划数量的增加，越来越多的人转向万维网获取健康信息，这是一种高度互动的媒介，能够在任何时候以很小的成本接触到大量的吸烟者，我们认为该领域需要研究影响其在基于网络的戒烟干预措施中的有效性的定制的具体方面。这样的研究可以提供为什么一些量身定制的干预措施积极影响戒烟的理解，并深入了解如何创建其他高效的量身定制的干预措施。