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Hospital Phenotypes in the Management of Patients Admitted for Acute Myocardial Infarction

Bibliographic Data

ID9099648
AuthorsXiao Xu (0000-0002-9394-2245, Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, corresponding author), Shu-Xia Li (Center for Outcomes Research and Evaluation, Yale-New Haven Hospital), Shu‐Xia Li (0000-0003-1261-079X, Yale New Haven Hospital), Haiqun Lin (0000-0002-3114-9671, Department of Biostatistics, Yale School of Public Health, New Haven, CT), Sharon‐Lise T Normand (0000-0001-7027-4769, Harvard University), Sharon-Lise T Normand (Harvard Medical School), Tara Lagu (0000-0001-6155-5796, Division of General Medicine, Tufts University School of Medicine, Boston), Nihar Desai (Center for Outcomes Research and Evaluation, Yale-New Haven Hospital), Nihar R Desai (0000-0003-2384-2545, Yale New Haven Hospital, corresponding author), Michael Duan (Premier Inc., Charlotte, NC), Eugene A Kroch (Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA), EUGENE KROCH (Booz Allen Hamilton (United States)), Harlan M Krumholz (0000-0003-2046-127X, Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, corresponding author)
Year2016
Volume54
Issue10
Pages929-936
Publication date2016-10-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000571
PMID27261637
OpenAlexW2419073587
LanguageEN
References cited21

OBJECTIVES: 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). RESEARCH DESIGN: 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. RESULTS: 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. CONCLUSIONS: 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

Cardiology · Conventional PCI · Intensive care medicine · Intensive care unit · Myocardial infarction · Percutaneous coronary intervention · Psychological intervention · Acute Myocardial Infarction Research · Emergency Medicine · Internal Medicine · Medicine · Primary Care and Health Outcomes · Sepsis Diagnosis and Treatment

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