Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Journal: Circulation. Cardiovascular quality and outcomes
Published Date: Nov 8, 2016

Abstract

BACKGROUND: Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, optimal strategies continue to evolve in the presence of many confounders. We compared conventional regression-based model to approaches particularly suited to leveraging big data.

Authors

  • Jacob V Spertus
    From the Department of Health Care Policy, Harvard Medical School, Boston, MA (J.V.S., S.-L.T.N., R.W., M.C., A.L., S.R.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA (S.-L.T.N.).
  • Sharon-Lise T Normand
    From the Department of Health Care Policy, Harvard Medical School, Boston, MA (J.V.S., S.-L.T.N., R.W., M.C., A.L., S.R.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA (S.-L.T.N.). sharon@hcp.med.harvard.edu.
  • Robert Wolf
    From the Department of Health Care Policy, Harvard Medical School, Boston, MA (J.V.S., S.-L.T.N., R.W., M.C., A.L., S.R.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA (S.-L.T.N.).
  • Matt Cioffi
    From the Department of Health Care Policy, Harvard Medical School, Boston, MA (J.V.S., S.-L.T.N., R.W., M.C., A.L., S.R.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA (S.-L.T.N.).
  • Ann Lovett
    From the Department of Health Care Policy, Harvard Medical School, Boston, MA (J.V.S., S.-L.T.N., R.W., M.C., A.L., S.R.); and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA (S.-L.T.N.).
  • Sherri Rose
    Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.

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