A Web-Based Intervention to Increase Smokers' Intentions to Participate in a Cessation Study Offered at the Point of Lung Screening: Factorial Randomized Trial.
A Web-Based Intervention to Increase Smokers' Intentions to Participate in a Cessation Study Offered at the Point of Lung Screening: Factorial Randomized Trial.
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DOI：
10.2196/28952
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发表时间：
2021-06-30
影响因子：
2.2
通讯作者：
Park ER
中科院分区：
文献类型：
--
作者：
Neil JM;Chang Y;Goshe B;Rigotti N;Gonzalez I;Hawari S;Ballini L;Haas JS;Marotta C;Wint A;Harris K;Crute S;Flores E;Park ER
Screen ASSIST是一项戒烟试验，在肺癌筛查时提供给当前吸烟者。由于在检测行为（肺癌筛查）的背景下促进预防行为（戒烟）的独特地位，本研究采用前景理论设计并形成性地评估试验启动前的有针对性的招募视频。本研究的目的是确定哪些信息框架在促进参与戒烟研究的意图方面最有效。参与者从一家专有的选择性在线小组公司招募，并随机分配到2（戒烟的益处vs在肺部筛查时继续吸烟的风险; BvR）× 2（参与戒烟研究的收益vs不参与戒烟研究的损失; GvL）消息设计实验（N=314）。主要结果是自我评估参与戒烟研究的意图。信息有效性和肺癌风险感知措施也被收集。方差分析检查了2个信息因素的主要影响，最小绝对收缩和选择算子（LASSO）方法确定了参与多变量模型的意图预测因子。中介分析进行，以确定直接和间接影响的消息因素的意图，参加戒烟研究。共有296名参与者完成了干预。在参与戒烟研究的意图方面，不同消息框架之间没有显著差异（P= 0.12和P= 0.61）。在多变量模型中，戒烟重要性（P<.001）、感知信息相关性（P<.001）和情感风险反应（即担心患肺癌; P<.001）是参与意愿的重要预测因素。退出框架的益处显著增加了情感风险反应（Meanbenefits 2.60 vs Meanrisk 2.40; P= 0.03），这介导了信息框架和参与意图之间的关系（B=0.24; 95%CI 0.01-0.47; P= 0.03）。本研究为如何设计和评估戒烟试验的主动招募信息提供了理论和实践指导。根据我们的研究结果，我们得出结论，重度吸烟者对招募信息的反应更敏感，因为它增加了情感风险反应，从而预测了参与戒烟研究的更大意图。
Screen ASSIST is a cessation trial offered to current smokers at the point of lung cancer screening. Because of the unique position of promoting a prevention behavior (smoking cessation) within the context of a detection behavior (lung cancer screening), this study employed prospect theory to design and formatively evaluate a targeted recruitment video prior to trial launch. The aim of this study was to identify which message frames were most effective at promoting intent to participate in a smoking cessation study. Participants were recruited from a proprietary opt-in online panel company and randomized to a 2 (benefits of quitting vs risks of continuing to smoke at the time of lung screening; BvR) × 2 (gains of participating vs losses of not participating in a cessation study; GvL) message design experiment (N=314). The primary outcome was self-assessed intent to participate in a smoking cessation study. Message effectiveness and lung cancer risk perception measures were also collected. Analysis of variance examined the main effect of the 2 message factors and a least absolute shrinkage and selection operator (LASSO) approach identified predictors of intent to participate in a multivariable model. A mediation analysis was conducted to determine the direct and indirect effects of message factors on intent to participate in a cessation study. A total of 296 participants completed the intervention. There were no significant differences in intent to participate in a smoking cessation study between message frames (P=.12 and P=.61). In the multivariable model, quit importance (P<.001), perceived message relevance (P<.001), and affective risk response (ie, worry about developing lung cancer; P<.001) were significant predictors of intent to participate. The benefits of quitting frame significantly increased affective risk response (Meanbenefits 2.60 vs Meanrisk 2.40; P=.03), which mediated the relationship between message frame and intent to participate (b=0.24; 95% CI 0.01-0.47; P=.03). This study provides theoretical and practical guidance on how to design and evaluate proactive recruitment messages for a cessation trial. Based on our findings, we conclude that heavy smokers are more responsive to recruitment messages that frame the benefits of quitting as it increased affective risk response, which predicted greater intention to participate in a smoking cessation study.
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影响因子：
254.7
作者：
Jemal, Ahmedin;Siegel, Rebecca;Thun, Michael J.
通讯作者：
Thun, Michael J.
影响因子：
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