The help-seeking process and predictors of mental health care use among individuals with depressive symptoms: a machine learning approach.

Journal: Frontiers in public health
PMID: 39635206

Abstract

PURPOSE: The goal of the study was to identify the most important influences on professional healthcare use of people with depressive symptoms. We incorporated findings from research areas of health behaviors, stigma, and motivation to predict the help-seeking process variables from a wide range of personal factors and attitudes.

Authors

  • Vanessa Juergensen
    Department of Psychiatry and Psychotherapy, Medical Faculty, University Leipzig, Leipzig, Germany.
  • Lina-Jolien Peter
    Department of Psychiatry and Psychotherapy, Medical Faculty, University Leipzig, Leipzig, Germany.
  • David Steyrl
  • Cindy Sumaly Lor
    Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.
  • Anh Phi Bui
    Department of Psychiatry and Psychotherapy, Medical Faculty, University Leipzig, Leipzig, Germany.
  • Thomas McLaren
    Department of Health and Prevention, Institute of Psychology, University of Greifswald, Greifswald, Germany.
  • Holger Muehlan
    Department of Health and Prevention, Institute of Psychology, University of Greifswald, Greifswald, Germany.
  • Samuel Tomczyk
    Department of Health and Prevention, Institute of Psychology, University of Greifswald, Greifswald, Germany.
  • Silke Schmidt
    Department of Health and Prevention, Institute of Psychology, University of Greifswald, Greifswald, Germany.
  • Georg Schomerus
    University of Leipzig Medical Center.

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