Whedon James M, von Recklinghausen Friedrich M
The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College, Hanover, New Hampshire, United States.
J Emerg Trauma Shock. 2013 Oct;6(4):259-63. doi: 10.4103/0974-2700.120368.
Delays to definitive care are of particular concern in rural trauma systems, where prehospital times are significantly longer than average.
We evaluated for differences between transferring hospitals in the total time required to transport patients to definitive care, and analyzed for associations between transport times and outcomes.
We employed a cross-sectional design to analyze Level One Trauma Center registry data on interfacility transfer of 3,303 acute trauma patients.
We calculated time in minutes from injury to definitive care (total elapsed time (TET)), and analyzed for associations between TET and both mortality and length of hospital stay at our center. We mapped hospitals and catchment areas to illustrate statistics by transferring hospital.
We employed analysis of covariance (ANCOVA) to analyze for the effect of TET and injury severity category upon hospital length of stay, and for the effects of TET and air transport as compared to ground transport. We evaluated for likelihood of in-hospital mortality using logistic regression.
TET had little or no effect upon length of hospital stay or in-hospital mortality. The effect of injury severity upon both length of stay and mortality was progressively greater with each categorical increase in severity. Air transport as compared to ground transport was associated with mild increases in length of stay and likelihood of mortality. Mapping revealed spatial patterns that were not evident by statistical analysis alone.
Mapping of geographic variations holds promise as a supplement to quantitative needs assessments of trauma systems in rural regions and developing countries.
在农村创伤系统中,确定性治疗的延迟尤其令人担忧,因为这些地区的院前时间明显长于平均水平。
我们评估了转诊医院在将患者转运至确定性治疗所需的总时间上的差异,并分析了转运时间与治疗结果之间的关联。
我们采用横断面设计,分析了一级创伤中心关于3303例急性创伤患者机构间转运的登记数据。
我们计算了从受伤到确定性治疗的时间(总 elapsed 时间(TET)),并分析了TET与我们中心的死亡率和住院时间之间的关联。我们绘制了医院和集水区地图,以按转诊医院展示统计数据。
我们采用协方差分析(ANCOVA)来分析TET和损伤严重程度类别对住院时间的影响,以及TET和空中转运与地面转运相比的影响。我们使用逻辑回归评估院内死亡的可能性。
TET对住院时间或院内死亡率几乎没有影响。随着严重程度的每一个分类增加,损伤严重程度对住院时间和死亡率的影响逐渐增大。与地面转运相比,空中转运与住院时间和死亡可能性的轻度增加有关。绘图揭示了仅通过统计分析不明显的空间模式。
地理差异绘图有望作为农村地区和发展中国家创伤系统定量需求评估的补充。