Lujic Sanja, Finch Caroline, Boufous Soufiane, Hayen Andrew, Dunsmuir William
NSW Injury Risk Management Research Centre, University of New South Wales.
Aust N Z J Public Health. 2008 Feb;32(1):28-33. doi: 10.1111/j.1753-6405.2008.00162.x.
An assessment of linked data was used to investigate the scope and the extent to which hospitalisations data and police crash records represent road crashes in New South Wales (NSW).
Hospital separation records for the period 1 July 2000 to 30 June 2001, inclusive, were linked to police crash casualty records for the same period using probabilistic record linkage techniques. Multivariable logistic regression techniques were used to identify factors independently associated with the probability of record linkage.
Of 17,552 road transport-related hospital records, 45.1% matched to police crash casualty records. When the analysis was restricted to road traffic crashes, 69.2% of the 9,178 records had a matching police crash casualty record. Multivariable analysis found the most significant factors contributing to the likelihood of linkage to be road user type, payment status and principal diagnosis of injury variables. Motor vehicle controllers, cases entitled to financial compensation and cases with a principal diagnosis of injury were significantly more likely to be linked than all other cases.
The findings indicate that researchers and policy makers should be cautious when examining traffic crashes based on a separate analysis of the hospitalisations data and police crash records. This is particularly true for crashes involving pedestrians, cyclists and motorcyclists, and those resulting in less severe injuries.
The findings have implications for use of both police crash records and hospital records in informing the development of strategies designed to prevent road trauma in the community.
运用关联数据评估来调查新南威尔士州（NSW）住院数据和警方碰撞记录在多大范围及程度上代表道路碰撞事故。
使用概率性记录关联技术，将2000年7月1日至2001年6月30日（含）期间的医院出院记录与同一时期的警方碰撞伤亡记录进行关联。运用多变量逻辑回归技术来识别与记录关联概率独立相关的因素。
在17552份与道路运输相关的医院记录中，45.1%与警方碰撞伤亡记录相匹配。当分析仅限于道路交通事故时，9178份记录中有69.2%有匹配的警方碰撞伤亡记录。多变量分析发现，对关联可能性影响最大的因素是道路使用者类型、支付状态和主要损伤诊断变量。机动车驾驶者、有权获得经济赔偿的案例以及主要损伤诊断为受伤的案例比所有其他案例更有可能被关联。
研究结果表明，研究人员和政策制定者在基于对住院数据和警方碰撞记录的单独分析来研究交通事故时应谨慎。对于涉及行人、骑自行车者和摩托车手的碰撞事故以及那些导致较轻伤害的事故尤其如此。
研究结果对警方碰撞记录和医院记录在为制定旨在预防社区道路创伤的策略提供信息方面的应用具有启示意义。
