Standards for statistical models used for public reporting of health outcomes: An American Heart Association scientific statement from the Quality of Care and Outcomes Research Interdisciplinary Writing Group

Harlan M. Krumholz, Ralph G. Brindis, John E. Brush, David J. Cohen, Andrew J. Epstein, Karen Furie, George Howard, Eric D. Peterson, Saif S. Rathore, Sidney C. Smith, John A. Spertus, Yun Wang, Sharon Lise T. Normand

Research output: Contribution to journalReview articlepeer-review

281 Scopus citations

Abstract

With the proliferation of efforts to report publicly the outcomes of healthcare providers and institutions, there is a growing need to define standards for the methods that are being employed. An interdisciplinary writing group identified 7 preferred attributes of statistical models used for publicly reported outcomes. These attributes include (1) clear and explicit definition of an appropriate patient sample, (2) clinical coherence of model variables, (3) sufficiently high-quality and timely data, (4) designation of an appropriate reference time before which covariates are derived and after which outcomes are measured, (5) use of an appropriate outcome and a standardized period of outcome assessment, (6) application of an analytical approach that takes into account the multilevel organization of data, and (7) disclosure of the methods used to compare outcomes, including disclosure of performance of risk-adjustment methodology in derivation and validation samples.

Original languageEnglish (US)
Pages (from-to)456-462
Number of pages7
JournalCirculation
Volume113
Issue number3
DOIs
StatePublished - Jan 2006
Externally publishedYes

Keywords

  • AHA Scientific Statements
  • Quality indicators
  • Quality of health care
  • Risk adjustment
  • Risk assessment

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Physiology (medical)

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