Xu Xiao, Li Shu-Xia, Lin Haiqun, Normand Sharon-Lise T, Lagu Tara, Desai Nihar, Duan Michael, Kroch Eugene A, Krumholz Harlan M
*Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine †Center for Outcomes Research and Evaluation, Yale-New Haven Hospital ‡Department of Biostatistics, Yale School of Public Health, New Haven, CT §Department of Health Care Policy, Harvard Medical School ∥Department of Biostatistics, Harvard T.H. Chan School of Public Health ¶Division of General Medicine, Tufts University School of Medicine, Boston #Baystate Medical Center, Springfield, MA **Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT ††Premier Inc., Charlotte, NC ‡‡Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA §§Booz Allen Hamilton Inc., McLean, VA ∥∥Robert Wood Johnson Foundation Clinical Scholars Program, Department of Internal Medicine, Yale School of Medicine ¶¶Department of Health Policy and Management, Yale School of Public Health, New Haven, CT.
Med Care. 2016 Oct;54(10):929-36. doi: 10.1097/MLR.0000000000000571.
To characterize hospital phenotypes by their combined utilization pattern of percutaneous coronary interventions (PCI), coronary artery bypass grafting (CABG) procedures, and intensive care unit (ICU) admissions for patients hospitalized for acute myocardial infarction (AMI).
Using the Premier Analytical Database, we identified 129,138 hospitalizations for AMI from 246 hospitals with the capacity for performing open-heart surgery during 2010-2013. We calculated year-specific, risk-standardized estimates of PCI procedure rates, CABG procedure rates, and ICU admission rates for each hospital, adjusting for patient clinical characteristics and within-hospital correlation of patients. We used a mixture modeling approach to identify groups of hospitals (ie, hospital phenotypes) that exhibit distinct longitudinal patterns of risk-standardized PCI, CABG, and ICU admission rates.
We identified 3 distinct phenotypes among the 246 hospitals: (1) high PCI-low CABG-high ICU admission (39.2% of the hospitals), (2) high PCI-low CABG-low ICU admission (30.5%), and (3) low PCI-high CABG-moderate ICU admission (30.4%). Hospitals in the high PCI-low CABG-high ICU admission phenotype had significantly higher risk-standardized in-hospital costs and 30-day risk-standardized payment yet similar risk-standardized mortality and readmission rates compared with hospitals in the low PCI-high CABG-moderate ICU admission phenotype. Hospitals in these phenotypes differed by geographic region.
Hospitals differ in how they manage patients hospitalized for AMI. Their distinctive practice patterns suggest that some hospital phenotypes may be more successful in producing good outcomes at lower cost.
通过经皮冠状动脉介入治疗(PCI)、冠状动脉旁路移植术(CABG)以及急性心肌梗死(AMI)住院患者的重症监护病房(ICU)收治情况的综合利用模式,对医院表型进行特征描述。
利用Premier分析数据库,我们在2010 - 2013年期间从246家具备心脏直视手术能力的医院中识别出129,138例AMI住院病例。我们计算了每家医院PCI手术率、CABG手术率和ICU收治率的年度特定、风险标准化估计值,并对患者临床特征和患者在医院内的相关性进行了调整。我们采用混合建模方法来识别表现出不同风险标准化PCI、CABG和ICU收治率纵向模式的医院组(即医院表型)。
我们在246家医院中识别出3种不同的表型:(1)高PCI - 低CABG - 高ICU收治(占医院的39.2%),(2)高PCI - 低CABG - 低ICU收治(30.5%),以及(3)低PCI - 高CABG - 中度ICU收治(30.4%)。与低PCI - 高CABG - 中度ICU收治表型的医院相比,高PCI - 低CABG - 高ICU收治表型的医院风险标准化住院费用和30天风险标准化支付显著更高,但风险标准化死亡率和再入院率相似。这些表型的医院在地理区域上存在差异。
医院在管理AMI住院患者的方式上存在差异。它们独特的实践模式表明,某些医院表型可能在以较低成本产生良好结果方面更成功。