Misleading Results in Posttraumatic Stress Disorder Predictive Models Using Electronic Health Record Data: Algorithm Validation Study.

Journal: Journal of medical Internet research
Published Date: Aug 27, 2025

Abstract

BACKGROUND: Electronic health record (EHR) data are increasingly used in predictive models of posttraumatic stress disorder (PTSD), but it is unknown how multivariable prediction of an EHR-based diagnosis might differ from prediction of a more rigorous diagnostic criterion. This distinction is important because EHR data are subject to multiple biases, including diagnostic misclassification and differential health care use resulting from factors such as illness severity.

Authors

  • Thomas M Crow
    Behavioral Science Division, National Center for Posttraumatic Stress Disorder, VA Boston Healthcare System, 150 S Huntington Ave, 13B, Boston, MA, 02130, United States, 1 6172329500.
  • Eric Lin
    VA Boston Healthcare System, Boston, MA, USA.
  • Kelly L Harper
    Behavioral Science Division, National Center for Posttraumatic Stress Disorder, VA Boston Healthcare System, 150 S Huntington Ave, 13B, Boston, MA, 02130, United States, 1 6172329500.
  • Michael L Crowe
    Behavioral Science Division, National Center for Posttraumatic Stress Disorder, VA Boston Healthcare System, 150 S Huntington Ave, 13B, Boston, MA, 02130, United States, 1 6172329500.
  • Terence M Keane
    Behavioral Science Division, National Center for Posttraumatic Stress Disorder, VA Boston Healthcare System, 150 S Huntington Ave, 13B, Boston, MA, 02130, United States, 1 6172329500.
  • Brian P Marx
    National Center for PTSD, VA Boston Healthcare System, Boston, Massachusetts; Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts.

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