CRISMA Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States; Department of Health Policy & Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, United States.
CRISMA Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
J Crit Care. 2018 Aug;46:6-12. doi: 10.1016/j.jcrc.2018.03.022. Epub 2018 Mar 23.
We sought to examine variation in long-term acute care hospital (LTACH) quality based on 90-day in-hospital mortality for patients admitted for weaning from mechanical ventilation.
We developed an administrative risk-adjustment model using data from Medicare claims. We validated the administrative model against a clinical model using data from LTACHs participating in a 2002 to 2003 clinical registry. We then used our validated administrative model to assess national variation in 90-day in-hospital mortality rates in LTACHs from 2013.
The administrative risk-adjustment model was derived using data from 9447 patients admitted to 221 LTACHs in 2003. The model had good discrimination (C statistic=0.72) and calibration. Compared to a clinically derived model using data from 1163 patients admitted to 14 LTACHs, the administrative model generated similar performance estimates. National variation in risk-adjusted mortality was assessed using data from 20,453 patients admitted to 380 LTACHs in 2013. LTACH-specific risk-adjusted mortality rates varied from 8.4% to 48.1% (median: 24.2%, interquartile range: 19.7%-30.7%).
LTACHs vary widely in mortality rates, underscoring the need to better understand the sources of this variation and improve the quality of care for patients requiring long-term ventilator weaning.
我们试图通过对因机械通气撤机而住院患者的 90 天院内死亡率来检验长期急性护理医院(LTACH)的质量差异。
我们使用医疗保险索赔数据开发了一个行政风险调整模型。我们使用来自参与 2002 年至 2003 年临床登记的 LTACH 的临床数据来验证行政模型。然后,我们使用验证后的行政模型评估了 2013 年 LTACH 患者 90 天院内死亡率的全国差异。
行政风险调整模型是使用 2003 年 221 家 LTACH 中 9447 名住院患者的数据得出的。该模型具有良好的区分度(C 统计值=0.72)和校准度。与使用来自 14 家 LTACH 的 1163 名住院患者的临床数据得出的模型相比,行政模型产生了类似的性能估计。使用 2013 年 380 家 LTACH 中 20453 名住院患者的数据评估了全国风险调整死亡率的差异。LTACH 特定的风险调整死亡率从 8.4%到 48.1%不等(中位数:24.2%,四分位距:19.7%-30.7%)。
LTACH 的死亡率差异很大,这突出表明需要更好地了解这种差异的来源,并提高需要长期呼吸机撤机的患者的护理质量。