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首页> 外文期刊>Traffic Injury Prevention >Understanding traffic crash under-reporting: Linking police and medical records to individual and crash characteristics
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Understanding traffic crash under-reporting: Linking police and medical records to individual and crash characteristics

机译：了解交通事故报告不足的情况：将警察和医疗记录与个人和事故特征相关联

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Objective: This study aligns to the body of research dedicated to estimating the underreporting of road crash injuries and adds the perspective of understanding individual and crash factors contributing to the decision to report a crash to the police, the hospital, or both.Method: This study focuses on road crash injuries that occurred in the province of Funen, Denmark, between 2003 and 2007 and were registered in the police, the hospital, or both authorities. Underreporting rates are computed with the capture-recapture method, and the probability for road crash injuries in police records to appear in hospital records (and vice versa) is estimated with joint binary logit models.Results: The capture-recapture analysis shows high underreporting rates of road crash injuries in Denmark and the growth of underreporting not only with the decrease in injury severity but also with the involvement of cyclists (reporting rates of about 14% for serious injuries and 7% for slight injuries) and motorcyclists (reporting rates of about 35% for serious injuries and 10% for slight injuries). Model estimates show that the likelihood of appearing in both data sets is positively related to helmet and seat belt use, number of motor vehicles involved, alcohol involvement, higher speed limit, and females being injured.Conclusions: This study adds significantly to the literature about underreporting by recognizing that understanding the heterogeneity in the reporting rate of road crashes may lead to devising policy measures aimed at increasing the reporting rate by targeting specific road user groups (e.g., males, young road users) or specific situational factors (e.g., slight injuries, arm injuries, leg injuries, weekend).
机译：目的：本研究与致力于估计道路交通事故伤害报告不足的研究机构相吻合，并增加了理解个人和交通事故因素的观点，这些因素有助于决定向警察，医院或两者报告交通事故。这项研究的重点是在2003年至2007年之间在丹麦Funen省发生的道路意外伤害，并在警察，医院或两个政府部门进行了登记。使用捕获-重新捕获方法计算漏报率，并使用联合二进制Logit模型估算警察记录中道路事故伤害在医院记录中出现的可能性（反之亦然）。结果：捕获-重新捕获分析显示出漏报率很高丹麦道路交通事故的发生率以及报告不足的增加，不仅随着伤害严重程度的降低，而且还包括骑自行车的人（严重伤害的报告率约为14％，轻微伤害的报告率约为7％） 35％（重伤）和10％（轻伤）。模型估计表明，在这两个数据集中出现的可能性与头盔和安全带的使用，所涉及的机动车数量，酒精的参与，较高的速度限制以及女性受伤呈正相关。结论：本研究显着增加了有关以下方面的文献认识到对道路事故报告率的异质性可能会导致报告不足，从而可能导致针对特定道路使用者群体（例如男性，年轻道路使用者）或特定情况因素（例如轻伤）制定旨在提高报告比率的政策措施，手臂受伤，腿部受伤，周末）。

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