Comparing clinical decision-making of AI technology to a multi-professional care team in an electronic cognitive behavioural therapy program for depression: protocol.

Journal: Frontiers in psychiatry
Published Date: Dec 21, 2023

Abstract

INTRODUCTION: Depression is a leading cause of disability worldwide, affecting up to 300 million people globally. Despite its high prevalence and debilitating effects, only one-third of patients newly diagnosed with depression initiate treatment. Electronic cognitive behavioural therapy (e-CBT) is an effective treatment for depression and is a feasible solution to make mental health care more accessible. Due to its online format, e-CBT can be combined with variable therapist engagement to address different care needs. Typically, a multi-professional care team determines which combination therapy most benefits the patient. However, this process can add to the costs of these programs. Artificial intelligence (AI) has been proposed to offset these costs.

Authors

  • Callum Stephenson
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Jasleen Jagayat
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Anchan Kumar
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Paniz Khamooshi
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Jazmin Eadie
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Amrita Pannu
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Dekel Meartsi
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Eileen Danaee
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Gilmar Gutierrez
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Ferwa Khan
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Tessa Gizzarelli
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Charmy Patel
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Elnaz Moghimi
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Megan Yang
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Amirhossein Shirazi
    OPTT Inc., Toronto, ON, Canada.
  • Mohsen Omrani
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Archana Patel
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Nazanin Alavi
    Department of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.

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