Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia.

Journal: Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
Published Date: Jun 1, 2024

Abstract

STUDY OBJECTIVES: The standard of care for military personnel with insomnia is cognitive behavioral therapy for insomnia (CBT-I). However, only a minority seeking insomnia treatment receive CBT-I, and little reliable guidance exists to identify those most likely to respond. As a step toward personalized care, we present results of a machine learning (ML) model to predict CBT-I response.

Authors

  • Frances H Gabbay
    Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.
  • Gary H Wynn
    Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.
  • Matthew W Georg
    Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.
  • Sarah M Gildea
    Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
  • Chris J Kennedy
    Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.
  • Andrew J King
    University of Pittsburgh, Pittsburgh, PA, USA.
  • Nancy A Sampson
    Department of Health Care Policy, Harvard Medical School.
  • Robert J Ursano
    Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University School of Medicine.
  • Murray B Stein
    Departments of Psychiatry and Family Medicine & Public Health, University of California San Diego, and VA San Diego Healthcare System.
  • James R Wagner
    Institute for Social Research, University of Michigan, Ann Arbor, Michigan.
  • Ronald C Kessler
    Department of Health Care Policy, Harvard Medical School.
  • Vincent F Capaldi
    Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.

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