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将卒中严重程度纳入缺血性卒中住院后30天死亡率的医院评估指标中。

Incorporating Stroke Severity Into Hospital Measures of 30-Day Mortality After Ischemic Stroke Hospitalization.

作者信息

Schwartz Jennifer, Wang Yongfei, Qin Li, Schwamm Lee H, Fonarow Gregg C, Cormier Nicole, Dorsey Karen, McNamara Robert L, Suter Lisa G, Krumholz Harlan M, Bernheim Susannah M

机构信息

From the Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (J.S., Y.W., L.Q., N.C., K.D., R.L.M., L.G.S., H.M.K.); Section of Cardiovascular Medicine, Department of Internal Medicine (J.S., Y.W., R.L.M., H.M.K.), Section of Rheumatology, Department of Medicine (L.G.S.), and Section of General Internal Medicine, Department of Internal Medicine (S.M.B.), Yale University School of Medicine, New Haven, CT; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (L.H.S.); Division of Cardiology, Department of Medicine, Geffen School of Medicine at UCLA (G.C.F.); VA Connecticut Healthcare System, West Haven (L.G.S.); and Department of Health Policy and Management, Yale University School of Public Health, New Haven, CT (H.M.K.).

出版信息

Stroke. 2017 Nov;48(11):3101-3107. doi: 10.1161/STROKEAHA.117.017960. Epub 2017 Sep 27.

Abstract

BACKGROUND AND PURPOSE

The Centers for Medicare & Medicaid Services publicly reports a hospital-level stroke mortality measure that lacks stroke severity risk adjustment. Our objective was to describe novel measures of stroke mortality suitable for public reporting that incorporate stroke severity into risk adjustment.

METHODS

We linked data from the American Heart Association/American Stroke Association Get With The Guidelines-Stroke registry with Medicare fee-for-service claims data to develop the measures. We used logistic regression for variable selection in risk model development. We developed 3 risk-standardized mortality models for patients with acute ischemic stroke, all of which include the National Institutes of Health Stroke Scale score: one that includes other risk variables derived only from claims data (claims model); one that includes other risk variables derived from claims and clinical variables that could be obtained from electronic health record data (hybrid model); and one that includes other risk variables that could be derived only from electronic health record data (electronic health record model).

RESULTS

The cohort used to develop and validate the risk models consisted of 188 975 hospital admissions at 1511 hospitals. The claims, hybrid, and electronic health record risk models included 20, 21, and 9 risk-adjustment variables, respectively; the C statistics were 0.81, 0.82, and 0.79, respectively (as compared with the current publicly reported model C statistic of 0.75); the risk-standardized mortality rates ranged from 10.7% to 19.0%, 10.7% to 19.1%, and 10.8% to 20.3%, respectively; the median risk-standardized mortality rate was 14.5% for all measures; and the odds of mortality for a high-mortality hospital (+1 SD) were 1.51, 1.52, and 1.52 times those for a low-mortality hospital (-1 SD), respectively.

CONCLUSIONS

We developed 3 quality measures that demonstrate better discrimination than the Centers for Medicare & Medicaid Services' existing stroke mortality measure, adjust for stroke severity, and could be implemented in a variety of settings.

摘要

背景与目的

医疗保险和医疗补助服务中心公开报告一项缺乏中风严重程度风险调整的医院层面中风死亡率指标。我们的目标是描述适用于公开报告的新型中风死亡率指标,这些指标将中风严重程度纳入风险调整。

方法

我们将美国心脏协会/美国中风协会“遵循指南-中风”注册中心的数据与医疗保险按服务收费索赔数据相链接以制定这些指标。我们在风险模型开发中使用逻辑回归进行变量选择。我们为急性缺血性中风患者开发了3个风险标准化死亡率模型,所有模型均包括美国国立卫生研究院中风量表评分:一个模型包括仅从索赔数据得出的其他风险变量(索赔模型);一个模型包括从索赔数据和可从电子健康记录数据中获取的临床变量得出的其他风险变量(混合模型);另一个模型包括仅可从电子健康记录数据得出的其他风险变量(电子健康记录模型)。

结果

用于开发和验证风险模型的队列包括1511家医院的188975例住院病例。索赔模型、混合模型和电子健康记录风险模型分别包括20、21和9个风险调整变量;C统计量分别为0.81、0.82和0.79(与当前公开报告模型的C统计量0.75相比);风险标准化死亡率分别为10.7%至19.0%、10.7%至19.1%和10.8%至20.3%;所有指标的风险标准化死亡率中位数为14.5%;高死亡率医院(+1标准差)的死亡几率分别是低死亡率医院(-1标准差)的1.51倍、1.52倍和1.52倍。

结论

我们开发了3个质量指标,这些指标比医疗保险和医疗补助服务中心现有的中风死亡率指标具有更好的区分度,对中风严重程度进行了调整,并且可以在各种环境中实施。

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