Langley J D, Dow N, Stephenson S, Kypri K
Injury Prevention Research Unit, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Inj Prev. 2003 Dec;9(4):376-9. doi: 10.1136/ip.9.4.376.
(1) For crashes on a public road, to compare serious cyclist crashes involving a motor vehicle with cyclist crashes not involving a motor vehicle, in terms of threat to life and length of stay in hospital. (2) To determine the proportion of all serious crashes involving cyclists on public roads which are recorded by the police. (3) To determine the degree to which under-reporting of serious crashes involving cyclists and motor vehicles on public roads is associated with various demographic, environmental, and injury factors.
Records for the period 1995-99, of cyclists seriously injured on a public road and hospitalised were linked to the traffic crash report (TCR) database maintained by Land Transport Safety Authority (LTSA).
Of the 2925 cyclist crashes on public roads, only 652 (22%) could be linked to a TCR. Of the crashes involving motor vehicles (n = 1033), only 562 (54%) could be linked to the LTSA database. Age, ethnicity, injury severity, and cumulative length of stay were the only variables that predicted whether hospitalised cycle crash cases were more likely to have a corresponding TCR. There were substantial numbers of cyclist only crashes which typically are not captured in the TCR database. Nine percent of these resulted in serious or worse injury (that is, International Classification of Diseases/abbreviated injury scale score of 3+) and 7% resulted in hospital stays greater than seven days.
Greater effort and precision needs to be applied to routinely document the burden of cyclist crashes, especially cyclist only crashes.
(1)对于发生在公共道路上的撞车事故,比较涉及机动车的严重自行车撞车事故与不涉及机动车的自行车撞车事故在生命威胁和住院时间方面的情况。(2)确定警方记录的公共道路上涉及自行车的所有严重撞车事故的比例。(3)确定公共道路上涉及自行车和机动车的严重撞车事故漏报与各种人口统计学、环境和伤害因素之间的关联程度。
1995 - 1999年期间在公共道路上受重伤并住院的自行车骑行者的记录与陆地运输安全管理局(LTSA)维护的交通事故报告(TCR)数据库相链接。
在2925起公共道路上的自行车撞车事故中,只有652起(22%)能与交通事故报告相链接。在涉及机动车的撞车事故(n = 1033)中,只有562起(54%)能与陆地运输安全管理局的数据库相链接。年龄、种族、伤害严重程度和累计住院时间是仅有的能预测住院的自行车撞车事故病例是否更有可能有相应交通事故报告的变量。有大量仅涉及自行车的撞车事故,而这些事故通常未被交通事故报告数据库收录。其中9%导致严重或更严重的伤害(即国际疾病分类/简略损伤量表评分为3+),7%导致住院时间超过七天。
需要付出更大努力并提高精准度,以便常规记录自行车撞车事故的负担,尤其是仅涉及自行车的撞车事故。