Diffusion of an evidence-based smoking cessation intervention through Facebook: a randomised controlled trial study protocol.
Diffusion of an evidence-based smoking cessation intervention through Facebook: a randomised controlled trial study protocol.
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DOI：
10.1136/bmjopen-2013-004089
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发表时间：
2014-01-21
期刊：
影响因子：
2.9
通讯作者：
Graham AL
中科院分区：
文献类型：
--
作者：
Cobb NK;Jacobs MA;Saul J;Wileyto EP;Graham AL
在线社交网络代表了一种传播包括戒烟在内的健康干预措施的潜在机制；然而，干预的哪些要素决定了参与者之间的传播尚不清楚。扩散通常是用R来衡量的，这是由使用时间(T)、干预的“传染性”(β)和参与者的总接触数(Z)决定的繁殖率。我们已经开发了一款Facebook应用程序，允许我们启用或禁用各种组件，这些组件旨在影响使用时间(扩展内容、主动联系)、传染性(主动和被动分享)和联系人数量(非吸烟者支持者使用)。我们假设，这些因素对R的影响将是协同的，而将非吸烟者包括在内将导致一种“运营商”状态，允许应用程序连接吸烟者群体。这项研究是对Facebook戒烟应用程序的扩散进行的部分因素随机对照试验。通过在线广告招募的参与者被随机分配到12个细胞中的1个，并作为“种子”用户。所有用户交互都会被跟踪，包括与朋友的社交交互。安装可追溯到种子参与者的应用程序的个人被视为“后代”，并形成感兴趣的结果。分析将使用泊松回归进行，以事件计数作为结果，以细胞中的种子数量作为暴露。结果将被报告为参考组的基线R0，以及其余预测者的发病率比率。这项研究使用了一种简化的同意程序，旨在将收养障碍降至最低，并被机构审查委员会(IRB)视为风险最小。结果将通过传统的学术文献和社交媒体传播。如果可行，匿名化的数据和底层源代码打算在开放源码许可下提供。NCT01746472。
Online social networks represent a potential mechanism for the dissemination of health interventions including smoking cessation; however, which elements of an intervention determine diffusion between participants is unclear. Diffusion is frequently measured using R, the reproductive rate, which is determined by the duration of use (t), the ‘contagiousness’ of an intervention (β) and a participant's total contacts (z). We have developed a Facebook ‘app’ that allows us to enable or disable various components designed to impact the duration of use (expanded content, proactive contact), contagiousness (active and passive sharing) and number of contacts (use by non-smoker supporters). We hypothesised that these elements would be synergistic in their impact on R, while including non-smokers would induce a ‘carrier’ state allowing the app to bridge clusters of smokers. This study is a fractional factorial, randomised control trial of the diffusion of a Facebook application for smoking cessation. Participants recruited through online advertising are randomised to 1 of 12 cells and serve as ‘seed’ users. All user interactions are tracked, including social interactions with friends. Individuals installing the application that can be traced back to a seed participant are deemed ‘descendants’ and form the outcome of interest. Analysis will be conducted using Poisson regression, with event count as the outcome and the number of seeds in the cell as the exposure. The results will be reported as a baseline R0 for the reference group, and incidence rate ratio for the remainder of predictors. This study uses an abbreviated consent process designed to minimise barriers to adoption and was deemed to be minimal risk by the Institutional Review Board (IRB). Results will be disseminated through traditional academic literature as well as social media. If feasible, anonymised data and underlying source code are intended to be made available under an open source license. NCT01746472.
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