Using integrated data to examine characteristics related to pedestrian and bicyclist injuries [R22]

There is a need to tackle the problem of rising pedestrian morbidity and mortality through the study of integrated crash and health outcome data at the population level. This study analyzed five years of population-based, integrated, police reported crash and emergency department visit data to examine vehicle, crash, roadway, and person-level factors and their association with serious pedestrian injuries, ascertained using clinical metrics, rather than police reported injury severity indices. In addition, the results of the descriptive analysis were used to inform a multivariate predictive regression analysis, in which significant predictors of serious pedestrian injury were identified. Finally, the integrated crash-emergency department visit data were used to describe both the nature (laceration, fracture, etc.) and location (head, upper extremity, etc.) of injury to have a better understanding of pedestrian health outcomes following a motor vehicle crash.

亟需通过人群层面的交通事故碰撞与健康结局整合数据分析，应对行人发病率与死亡率持续攀升的公共卫生问题。本研究分析了五年间的基于人群的整合数据，该数据涵盖警方上报的碰撞事件记录与急诊就诊信息，旨在探究车辆、碰撞、道路环境及个体层面的各类因素，以及这些因素与严重行人损伤的关联——此处的严重损伤以临床指标判定，而非警方上报的损伤严重程度分级指标。此外，本研究借助描述性分析的结果开展多变量预测回归分析，明确了严重行人损伤的显著预测因子。最后，本研究利用整合后的碰撞-急诊就诊数据，对损伤的类型（如撕裂伤、骨折等）与部位（如头部、上肢等）进行描述，以期更深入理解机动车碰撞后行人的健康结局。