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首页> 外文期刊>Journal of Safety Research >Ability to monitor driving under the influence of marijuana among non-fatal motor-vehicle crashes: An evaluation of the Colorado electronic accident reporting system
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Ability to monitor driving under the influence of marijuana among non-fatal motor-vehicle crashes: An evaluation of the Colorado electronic accident reporting system

机译：能够在非致命机动车碰撞中监测大麻影响下的驾驶：科罗拉多电子事故报告系统的评估

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Introduction: As more states legalize medical/recreational marijuana use, it is important to determine if state motor vehicle surveillance systems can effectively monitor and track driving under the influence (DUI) of marijuana. This study assessed Colorado's Department of Revenue motor-vehicle crash data system, Electronic Accident Reporting System (EARS), to monitor non-fatal crashes involving driving under the influence (DUI) of marijuana. Methods: Centers for Disease Control and Prevention guidelines on surveillance system evaluation were used to assess EARS' usefulness, flexibility, timeliness, simplicity, acceptability, and data quality. We assessed system components, interviewed key stakeholders, and analyzed completeness of Colorado statewide 2014 motor vehicle crash records. Results: EARS contains timely and complete data, but does not effectively monitor non-fatal motor-vehicle crashes related to DUI of marijuana. Information on biological sample type collected from drivers and toxicology results were not recorded into EARS; however, EARS is a flexible system that can incorporate new data without increasing surveillance system burden. Conclusions: States, including Colorado, could consider standardization of drug testing and mandatory reporting policies for drivers involved in motor-vehicle crashes and proactively address the narrow window of time for sample collection to improve DUI of marijuana surveillance. Practical applications: The evaluation of state motor-vehicle crash systems' ability to capture crashes involving drug impaired driving (DUID) is a critical first step for identifying frequency and risk factors for crashes related to DUID. Published by Elsevier Ltd.
机译：简介：随着越来越多的州将医疗/休闲用大麻合法化，确定州机动车监控系统是否可以在大麻的影响（DUI）下有效地监视和跟踪驾驶非常重要。这项研究评估了科罗拉多州税务局的机动车碰撞数据系统，即电子事故报告系统（EARS），以监视涉及大麻影响（DUI）的非致命碰撞。方法：使用疾病控制和预防中心的监视系统评估指南来评估EARS的有用性，灵活性，及时性，简单性，可接受性和数据质量。我们评估了系统组件，采访了主要利益相关者，并分析了科罗拉多州2014年全州汽车碰撞记录的完整性。结果：EARS包含及时而完整的数据，但不能有效地监视与大麻DUI相关的非致命性机动车碰撞。从驾驶员收集的生物样品类型信息和毒理学结果未记录到EARS中；但是，EARS是一个灵活的系统，可以合并新数据而不会增加监视系统的负担。结论：包括科罗拉多州在内的各州可以考虑对涉及机动车碰撞的驾驶员进行药物测试和强制性报告政策的标准化，并积极应对狭窄的样品采集时间窗口，以改善大麻监测的DUI。实际应用：评估国家机动车碰撞系统捕获涉及药物不良驾驶（DUID）的碰撞的能力是确定与DUID相关的碰撞频率和风险因素的关键的第一步。由Elsevier Ltd.发布

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