捕捉大学生使用毒品的背景:利用网络反馈回路模拟建模对减低危害做法进行有背景的行为科学定性分析

IF 3.4 3区 心理学 Q1 PSYCHOLOGY, CLINICAL
Vasilis S. Vasiliou , Laoise Meany , Chiarra Belluci , Samantha Dockray , Conor Linehan , Samantha Dick , Martin P. Davoren , Michael Byrne
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引用次数: 0

摘要

在大学期间使用毒品会对学生的生活造成巨大伤害,并影响学校的运作和当地社区。然而,现有的针对大学期间吸毒问题的干预措施并不能很好地解决青少年早期成长时期的经历和大学生活的近似环境触发因素的并发动态影响;这两种风险因素都可能导致吸毒。为了解决这个问题,我们利用系统动态方法和情境行为科学(CBS)方法来支持干预措施的开发,重点解决这些风险因素。在 "MyUse:针对大学生减低伤害行为的情境行为变化干预 "的开发阶段,我们使用因果循环图方法(Vensim PLE)收集了大学生的定性数据,以生成网络反馈循环(NFLs)(n = 24,Maged 22 岁)。研究结果强调了中心节点(干预措施中的决定因素),这些节点支持我们之前确定的针对大学生的三项 CBS 减害实践(目标边缘:用心的药物使用决策、基于价值的活动、情境敏感的个性化减害计划)。分析表明,针对曾吸食毒品的学生,有 4 个 NFL,包括 13 个边缘(4 个正向、2 个负向和 4 个平衡强化关系);针对未吸食毒品的学生,有 3 个 NFL,包括 4 个正向、1 个负向和 1 个平衡关系。所有 NFL 都与三个 CBS 相关的目标结果嵌套。吸食毒品的大学生需要毒品相关知识,了解毒品的不可预知性和不良影响,这些知识应以同情的方式呈现,并从可靠的资源(如学生会/俱乐部)分发。没有吸食过毒品的学生需要了解毒品的影响,并认识到毒品会贬低以价值为基础的活动(如体育、友谊、社交生活)。这些教育应通过代理提示提醒和手机短信的方式进行,传达有关吸毒易感性的信息,并实时发布。应通过个性化的减低危害计划,将失效风险或预防措施的偶然、动态和环境约束因素考虑到每个人的具体弱点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capturing the context of drug use for college students: A contextual behavioural science informed qualitative analysis of harm reduction practices using network feedback loops simulation modelling
Drug use during college can have substantial harm on students' lives and impacts the institutions' functioning and local communities. Yet existing interventions for drug use at college poorly address the concurrent dynamic influences of the experiences in earlier developmental periods of young adults and the proximal contextual triggers of college life; both risk factors that can contribute to drug use. To address this, we leveraged system dynamic methods and contextual-behavioural science (CBS) approaches to support the development of interventions focusing at addressin these risk factors. Using Causal Loop Diagram methods (Vensim PLE), we collected qualitative data from college students to generate Network Feedback Loops (NFLs) (n = 24, Maged 22 years old), during the development phase of the MyUse: a contextual behavioural change intervention for harm reduction practices at college students. The findings underscored central nodes (determinants within an intervention) that support our previous identified three CBS-harm-reduction practices for college students (targeted edges: mindful drug-use decision making, value-based activities, context-sensitive personalized plan of harm reduction). Analyses revealed 4 NFLs for students with previous drug use, consisting of 13 edges (4 positive, 2 negative, and 4 balancing reinforcing relationships) and 3 NFLs for students with no previous drug use, consisting of 4 positives, one negative, and one balancing relationship. All the NFLs were nested with the three CBS-related targeted outcomes. College students who use drugs need drug-related knowledge about the unpredictable and adverse effects of drugs, presented in a compassionate way and distributed from credible resources (e.g., students’ unions/club). Students with no previous drug use need education about the effects of drugs and awareness of how drugs can devaluate value-based activities (e.g. sports, friendships, social life). These should be delivered via proxy cue reminders and mobile-text approaches conveying messages about drug use susceptibility, distributed in real-time. Idiosyncratic, dynamic, and contextual-bound factors of lapse risks or preventive practices should account for each person-specific vulnerabilities via personalized harm reduction plans.
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来源期刊
CiteScore
8.50
自引率
18.00%
发文量
82
审稿时长
61 days
期刊介绍: The Journal of Contextual Behavioral Science is the official journal of the Association for Contextual Behavioral Science (ACBS). Contextual Behavioral Science is a systematic and pragmatic approach to the understanding of behavior, the solution of human problems, and the promotion of human growth and development. Contextual Behavioral Science uses functional principles and theories to analyze and modify action embedded in its historical and situational context. The goal is to predict and influence behavior, with precision, scope, and depth, across all behavioral domains and all levels of analysis, so as to help create a behavioral science that is more adequate to the challenge of the human condition.
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