Department of Human Development & Family Studies Penn State University, University Park, PA, USA.
Department of Public Health Education, UNC Greensboro, Greensboro, NC, USA.
Transl Behav Med. 2022 Jan 18;12(1). doi: 10.1093/tbm/ibab119.
Rates of drug use among collegiate athletes are high, yet there are few evidence-based interventions for this population. myPlaybook, an online intervention for collegiate athletes, targets multiple predictors of drug use (i.e., norms, positive and negative expectancies about use, and harm prevention intentions).
We aimed to optimize modules from myPlaybook.
We evaluated modules through three sequential randomized factorial trials, using the Multiphase Optimization Strategy framework. We recruited and randomized 54 (Trial 1), 47 (Trial 2), and 42 (Trial 3) schools and invited all first-year and transfer collegiate athletes to participate. Athletes completed a baseline survey, their randomly assigned modules, and immediate posttest and 30-day follow-up surveys. Across trials, 3,244 (48.8% female), 2,837 (51.9% female), and 2,193 (51.4% female) athletes participated. In Trial 1, we evaluated and revised less effective modules (defined as d < 0.3-0.4 for targeted outcomes). In Trial 2, we re-evaluated and revised less effective modules. In Trial 3, we re-evaluated the revised modules.
Trial 1: All effects were d < 0.15, so we revised modules to target proximal outcomes (i.e., the hypothesized mediating variables in our conceptual model), rather than specific drug use behaviors. Trial 2: Most effects were d < 0.3, so we revised all modules. Trial 3: The norms module improved descriptive and injunctive norms (all d >0.35). The expectancies module improved alcohol positive expectancies (d = 0.3). The other modules were not effective.
After three trials, two myPlaybook modules substantially improved proximal outcomes, increasing the likelihood that the combined intervention will have a meaningful clinical impact on collegiate athletes' drug use.
大学生运动员的药物使用率很高,但针对这一人群的循证干预措施很少。myPlaybook 是一种针对大学生运动员的在线干预措施,针对药物使用的多个预测因素(即规范、对使用的积极和消极期望以及伤害预防意图)。
我们旨在优化 myPlaybook 的模块。
我们使用多阶段优化策略框架通过三个连续的随机因子试验来评估模块。我们招募并随机分配了 54 所(试验 1)、47 所(试验 2)和 42 所(试验 3)学校,并邀请所有一年级和转学生参加。运动员完成基线调查、他们随机分配的模块以及即时后测和 30 天随访调查。在整个试验中,有 3244 名(48.8%为女性)、2837 名(51.9%为女性)和 2193 名(51.4%为女性)运动员参加。在试验 1 中,我们评估并修订了效果较差的模块(针对目标结果,定义为 d < 0.3-0.4)。在试验 2 中,我们重新评估并修订了效果较差的模块。在试验 3 中,我们重新评估了修订后的模块。
试验 1:所有影响均为 d < 0.15,因此我们修订了模块以针对近端结果(即我们概念模型中的假设中介变量),而不是特定的药物使用行为。试验 2:大多数影响均为 d < 0.3,因此我们修订了所有模块。试验 3:规范模块改善了描述性和指令性规范(所有 d >0.35)。期望模块改善了酒精的积极期望(d = 0.3)。其他模块没有效果。
经过三轮试验,myPlaybook 的两个模块大大改善了近端结果,增加了该综合干预措施对大学生运动员药物使用产生有意义的临床影响的可能性。