Department of Public Health Education, University of North Carolina Greensboro, Greensboro, NC, USA.
Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA.
Ann Behav Med. 2021 Nov 18;55(12):1184-1187. doi: 10.1093/abm/kaab003.
Using the multiphase optimization strategy (MOST), we previously developed and optimized an online behavioral intervention, itMatters, aimed at reducing the risk of sexually transmitted infections (STI) among first-year college students by targeting the intersection of alcohol use and sexual behaviors.
We had two goals: (a) to evaluate the optimized itMatters intervention and (b) to determine whether the candidate sexual violence prevention (SVP) component (included at the request of participating universities) had a detectable effect and therefore should be added to create a new version of itMatters. We also describe the hybrid evaluation-optimization trial we conducted to accomplish these two goals in a single experiment.
First year college students (N = 3,098) at four universities in the USA were individually randomized in a hybrid evaluation-optimization 2 × 2 factorial trial. Data were analyzed using regression models, with pre-test outcome variables included as covariates in the models. Analyses were conducted separately with (a) immediate post-test scores and (b) 60-day follow-up scores as outcome variables.
Experimental results indicated a significant effect of itMatters on targeted proximal outcomes (norms) and on one distal behavioral outcome (binge drinking). There were no significant effects on other behavioral outcomes, including the intersection of alcohol and sexual behaviors. In addition, there were mixed results (positive short-term effect; no effect at 60-day follow-up) of the SVP component on targeted proximal outcomes (students' self-efficacy to reduce/prevent sexual violence and perceived effectiveness of protective behavioral strategies).
The hybrid evaluation-optimization trial enabled us to evaluate the individual and combined effectiveness of the optimized itMatters intervention and the SVP component in a single experiment, conserving resources and providing greatly improved efficiency.
NCT04095065.
我们先前使用多阶段优化策略(MOST)开发并优化了一个在线行为干预措施 itMatters,旨在通过针对酒精使用和性行为的交叉点来降低一年级大学生感染性传播感染(STI)的风险。
我们有两个目标:(a)评估优化后的 itMatters 干预措施,(b)确定候选性暴力预防(SVP)组件(应参与大学的要求包含)是否具有可检测的效果,因此应该添加到创建一个新版本的 itMatters。我们还描述了我们进行的混合评估-优化试验,以在单个实验中完成这两个目标。
在美国的四所大学中,将一年级大学生(N=3098)进行个体随机分组,进行混合评估-优化 2×2 析因试验。使用回归模型分析数据,将前测结果变量作为模型中的协变量包含在模型中。使用(a)即时后测得分和(b)60 天随访得分作为结果变量分别进行分析。
实验结果表明,itMatters 对目标近端结果(规范)和一个远端行为结果(狂饮)有显著影响。对其他行为结果(包括酒精和性行为的交叉点)没有显著影响。此外,SVP 组件对目标近端结果(学生减少/预防性暴力的自我效能感和对保护性行为策略的有效性感知)的影响存在混合结果(短期效果积极;60 天随访无效果)。
混合评估-优化试验使我们能够在单个实验中评估优化后的 itMatters 干预措施和 SVP 组件的单独和联合效果,从而节省资源并提供大大提高的效率。
NCT04095065。