Goodness Tracie M, Palfai Tibor P
Department of Psychology, Boston University, 900 Commonwealth Ave., Boston, MA 02215, United States.
Department of Psychology, Boston University, 900 Commonwealth Ave., Boston, MA 02215, United States.
Addict Behav. 2020 Jul;106:106362. doi: 10.1016/j.addbeh.2020.106362. Epub 2020 Feb 20.
This pilot study sought to test the feasibility of screening and delivering a web-based intervention to reduce marijuana use and consequences among graduate student presenting to a Student Health Center (SHC). Graduate students completed a 9-item electronic health screening instrument during their visit to the SHC. Those who reported monthly or greater marijuana use were eligible for participation in the pilot trial. Forty-nine students completed baseline assessments and were randomly assigned to an electronic screening and brief intervention (eSBI) for marijuana (eCHECKUPTOGO-marijuana; [BI]) or a control condition (CTL) that consisted of minimal general health information. Participants completed measures of marijuana use frequency and negative consequences at baseline, 3- and 6-months. Latent growth modeling was used to provide effect size estimates for the influence of the intervention on 6-month outcomes. Effect size estimates showed a small-to-medium effect of BI on marijuana use frequency at 6-months; there was no evidence of the BI on consequences. Results suggest that BI may hold promise as a method to reduce marijuana use among graduate students who present to primary care settings. Future research should test the efficacy of this approach in a full-scale randomized controlled trial.
这项试点研究旨在测试对前往学生健康中心(SHC)的研究生进行筛查并提供基于网络的干预措施以减少大麻使用及其后果的可行性。研究生在前往SHC就诊期间完成了一份9项电子健康筛查工具。那些报告每月或更频繁使用大麻的学生有资格参与该试点试验。49名学生完成了基线评估,并被随机分配到针对大麻的电子筛查和简短干预(eSBI;eCHECKUPTOGO-大麻;[BI])或由最少一般健康信息组成的对照条件(CTL)。参与者在基线、3个月和6个月时完成了大麻使用频率和负面后果的测量。潜在增长模型用于提供干预对6个月结果影响的效应大小估计。效应大小估计显示,BI在6个月时对大麻使用频率有小到中等的影响;没有证据表明BI对后果有影响。结果表明,BI作为一种减少前往初级保健机构就诊的研究生大麻使用的方法可能有前景。未来的研究应该在全面的随机对照试验中测试这种方法的疗效。