Identifying Latent Subgroups of High-Risk Patients Using Risk Score Trajectories.

Journal: Journal of general internal medicine
PMID: 30225769

Abstract

OBJECTIVE: Many healthcare systems employ population-based risk scores to prospectively identify patients at high risk of poor outcomes, but it is unclear whether single point-in-time scores adequately represent future risk. We sought to identify and characterize latent subgroups of high-risk patients based on risk score trajectories.

Authors

  • Edwin S Wong
    Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, 1660 S. Columbian Way, HSR&D MS S-152, Seattle, WA, 98108, USA. eswong@uw.edu.
  • Jean Yoon
    Health Economics Resource Center, VA Palo Alto Healthcare System, Livermore, CA, USA.
  • Rebecca I Piegari
    Office of Clinical Systems Development and Evaluation, Veterans Health Administration, Seattle, WA, USA.
  • Ann-Marie M Rosland
    Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.
  • Stephan D Fihn
    Office of Clinical Systems Development and Evaluation, Veterans Health Administration, Seattle, WA, USA.
  • Evelyn T Chang
    Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Health Care System, Los Angeles, CA, USA.

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