Gomez David, Xiong Wei, Haas Barbara, Goble Sandra, Ahmed Najma, Nathens Avery B
Division of Trauma and the Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, Canada.
J Trauma. 2009 Apr;66(4):1218-24; discussion 1224-5. doi: 10.1097/TA.0b013e31819a04d2.
If there are systematic differences in the types of patients captured in registries, then differences in outcomes in centers might be related not to differences in the practice of care, but differences in registry inclusion criteria. We set out to evaluate the effect of variable case ascertainment of dead on arrivals on external benchmarking of risk-adjusted mortality using a form of sensitivity analysis.
We used data from the National Trauma Data Bank to look for indirect evidence of systematic differences in case ascertainment. We evaluated whether there was any relationship between fewer than expected early (< or = 24 hours) deaths and overall risk-adjusted mortality. Fewer than expected early deaths were estimated through the W statistic and through an adjusted ratio of early to late (E/L) deaths. E/L ratios were assessed due to the potential correlation between performance and absolute number of early deaths as assessed by the W statistic.
We estimate that as many as 47% of all deaths might be missing due to problems with case ascertainment. Centers with unexpectedly few early deaths (W statistic) were consistently high performing centers with a lower than expected overall mortality. More importantly, there was no relationship between the E/L death ratio and overall risk-adjusted mortality.
Variable case ascertainment of dead on arrivals does not affect the ability to assess performance. Given that our approach has several assumptions, it is critically important that external validation of trauma registries be performed. If centers are to be judged through the quality of their data, then it is incumbent to first assure that data quality meets expectations.
如果登记系统中收录的患者类型存在系统性差异,那么各中心在治疗结果上的差异可能并非源于医疗实践的不同,而是登记纳入标准的差异。我们旨在通过一种敏感性分析形式,评估到达时已死亡病例的可变确定方式对风险调整后死亡率的外部基准评估的影响。
我们使用了国家创伤数据库的数据来寻找病例确定方面系统性差异的间接证据。我们评估了预期早期(≤24小时)死亡人数少于预期与总体风险调整后死亡率之间是否存在任何关系。通过W统计量以及早期与晚期(E/L)死亡人数的调整比例来估计预期早期死亡人数少于预期的情况。由于W统计量评估的表现与早期死亡绝对数之间可能存在相关性,因此对E/L比例进行了评估。
我们估计,由于病例确定问题,所有死亡病例中可能多达47%会缺失。早期死亡人数意外较少(W统计量)的中心始终是表现出色的中心,其总体死亡率低于预期。更重要的是,E/L死亡率与总体风险调整后死亡率之间没有关系。
到达时已死亡病例的可变确定方式不会影响评估表现的能力。鉴于我们的方法有几个假设,对创伤登记系统进行外部验证至关重要。如果要通过数据质量来评判各中心,那么首先必须确保数据质量符合预期。