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使用干预映射法评估“高度警惕”,这是一项通过智能手机进行的简短干预措施,旨在减少青少年大麻影响下的驾驶行为。

Using intervention mapping to evaluate 'High-Alert,' a brief smartphone intervention to reduce youth cannabis-impaired driving.

作者信息

Colonna Robert, Tucker Patricia, Mandich Angela, Alvarez Liliana

机构信息

Health and Rehabilitation Sciences, Western University, London, Ontario, Canada.

School of Occupational Therapy, Western University, London, Ontario, Canada.

出版信息

PLoS One. 2025 Aug 22;20(8):e0329383. doi: 10.1371/journal.pone.0329383. eCollection 2025.

Abstract

Youth driving under the influence of cannabis (DUIC) is a growing public health concern. While brief smartphone interventions have shown promise in reducing substance use and alcohol-impaired driving among youth, their efficacy for DUIC remains limited. Using the six-step Intervention Mapping framework, we developed and tested High Alert, a digital smartphone intervention designed to reduce DUIC among high-risk Canadian youth. The intervention was previously tested in a pilot randomized controlled trial comparing High Alert to an active control (exposure to six DUIC infographics) and a passive control (no contact). This study presents a comprehensive evaluation of High Alert using Step 6 of the Intervention Mapping framework. Reporting on this evaluation serves as a practical guide for researchers utilizing Intervention Mapping, offering valuable insights into High Alert's formative, process, outcome, and acceptability evaluations to enhance DUIC prevention efforts. Formative and acceptability evaluations revealed High Alert's positive reception among youth, with most participants willing to engage with it and recommend it to their peers. The program received high ratings for content and delivery, surpassing the static infographics used in the active control. Outcome evaluations demonstrated preliminary efficacy in reducing DUIC behaviour, particularly driving after cannabis co-use, compared to the no-contact group. Process evaluations highlighted implementation challenges, including online study bot activity, recruitment barriers (e.g., participant skepticism, limited ad targeting options), high attrition rates, and low adherence. Findings highlight the importance of Step 6 in Intervention Mapping, emphasizing the need for transparent and rigorous evaluation to inform future interventions. Addressing recruitment and implementation challenges is essential for improving the scalability and effectiveness of interventions targeting high-risk behaviours such as DUIC and will inform High Alert's future testing.

摘要

青少年在大麻影响下驾驶(DUIC)是一个日益严重的公共卫生问题。虽然简短的智能手机干预在减少青少年药物使用和酒后驾驶方面已显示出前景,但其对DUIC的疗效仍然有限。我们使用六步干预映射框架,开发并测试了“高度警惕”,这是一种旨在减少加拿大高危青少年DUIC的数字智能手机干预措施。该干预措施先前在一项试点随机对照试验中进行了测试,将“高度警惕”与积极对照组(接触六个DUIC信息图表)和消极对照组(无接触)进行了比较。本研究使用干预映射框架的第6步对“高度警惕”进行了全面评估。报告这一评估结果为利用干预映射的研究人员提供了实用指南,对“高度警惕”的形成性、过程性、结果性和可接受性评估提供了宝贵见解,以加强DUIC预防工作。形成性和可接受性评估显示,“高度警惕”在青少年中获得了积极反响,大多数参与者愿意参与其中并向同龄人推荐它。该项目在内容和呈现方面获得了高分,超过了积极对照组中使用的静态信息图表。结果评估表明,与无接触组相比,在减少DUIC行为方面,尤其是在同时使用大麻后驾驶方面,该干预措施具有初步疗效。过程评估突出了实施方面的挑战,包括在线研究机器人活动、招募障碍(如参与者的怀疑态度、有限的广告定位选项)、高流失率和低依从性。研究结果突出了干预映射第6步的重要性,强调需要进行透明和严格的评估,为未来的干预措施提供信息。解决招募和实施方面的挑战对于提高针对DUIC等高风险行为的干预措施的可扩展性和有效性至关重要,并将为“高度警惕”的未来测试提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b33/12373201/424f96c99a33/pone.0329383.g001.jpg

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