交互式个性化反馈和短信干预与物质受损驾驶减少有关

Shelby A King, Sterling M Hubbard, Jenni B Teeters
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引用次数: 0

摘要

背景:酒后驾车仍然是一个全国性的公共卫生问题,数据显示,在过去的一年中,多达三分之一的大学生报告在饮酒和/或使用大麻后开车。迄今为止,很少有研究调查是否可以使用简短的、基于技术的干预措施来减少年轻人的物质受损驾驶。最近的研究表明,结合个人接触的干预措施比完全自动化的干预措施产生更大的效果。目前的研究比较了交互式短信干预和自动短信干预在一个简短的,基于手机的物质损伤驾驶干预的背景下。方法:参与者通过大学的受试者池(n = 46)招募,并完成基线和三个月随访时评估驾驶障碍的措施。为了符合资格,学生必须年满18岁或以上,可以使用机动车辆,并且在过去三个月内报告饮用两杯或更多饮料后驾驶和/或在使用大麻后驾驶至少三次。参与者被随机分配到四种情况:个性化反馈加短信(n = 12),个性化反馈加自动短信(n = 11),积极控制条件-(物质使用信息,n = 12),以及仅评估控制条件(n = 11)。结果:使用重复测量方差分析来比较在不同条件下驾驶时受损的次数。分析显示,随着时间的推移,与只进行评估的参与者相比,个性化反馈加上短信的参与者在受损时驾驶次数的减少幅度要大得多(p = 0.022)。此外,与个性化反馈加自动短信组相比,个性化反馈加自动短信组的参与者报告说,随着时间的推移,受损驾驶次数减少得更多,尽管这种差异并不显著(p = 0.066)。令人惊讶的是,与主动控制条件相比,短信条件并没有导致物质受损驾驶的显著减少(p = 0.227)。讨论:总的来说,这些研究结果初步支持了手机提供的个性化反馈干预与互动短信在减少年轻人的物质受损驾驶方面的短期效果。由于Covid-19,最初入组的样本中有一半无法收集三个月的随访数据,导致分析效力不足。明年将收集更多数据,作为这一试点试验的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Interactive Personalized Feedback and Text-Messaging Intervention is Associated with Reductions in Substance-Impaired Driving
Background: Substance-impaired driving continues to be a national public health concern and data suggests that up to one-third of college students report driving after drinking and/or cannabis use in the past year. To date, little research has investigated whether brief, technology-based interventions can be used to reduce substance-impaired driving among young adults. Recent research indicates that interventions that incorporate personal contact lead to larger effect sizes than fully automated interventions. The present study compared an interactive text-messaging intervention to an automated text-messaging intervention in the context of a brief, mobile-phone based substance-impaired driving intervention. Method: Participants were recruited through the university’s subject pool (n = 46) and completed measures that assessed impaired driving at baseline and three-month follow-up. In order to be eligible, students had to be at least 18 years or older, have access to a motor vehicle, and report driving after drinking two or more drinks and/or driving after cannabis use at least three times in the past three months. Participants were randomly assigned into four conditions: personalized feedback plus text-messaging (n = 12), personalized feedback plus automated text messaging (n = 11), an active control condition- (substance use information, n = 12), and an assessment only control condition (n = 11). Results: Repeated measures ANOVAs were run to compare the number of times driving while impaired over time across conditions. Analyses revealed the personalized feedback plus text-messaging led to significantly greater reductions over time in the number of times driving while impaired compared to participants in the assessment-only condition (p = .022). Additionally, participants in the personalized feedback plus text-messaging condition reported a greater reduction over time in the number of times driving while impaired than those in the personalized feedback plus automated text messaging condition, though this difference was not significantly significant (p = .066). Surprisingly, the text-messaging conditions did not result in significantly greater reductions in substance-impaired driving compared to the active control condition (p = .227). Discussion: Overall, these findings provide preliminary support for the short-term efficacy of a mobile-delivered personalized feedback intervention with interactive text-messaging in reducing substance-impaired driving among young adults. Due to Covid-19, three-month follow-up data could not be collected from half of the originally enrolled sample, resulting in underpowered analyses. Additional data will be collected as part of this pilot trial in the coming year.
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