Artificial Intelligence in Depression - Medication Enhancement
NCT ID: NCT04655924
Last Updated: 2024-01-30
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
94 participants
INTERVENTIONAL
2022-06-16
2023-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Study Groups
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Active Intervention
Intervention delivered to patients by digital health platform.
Clinical Decision Support System
Clinical Decision Support System using Measurement-Based Care and Digital Decision Support Platform
Active Control
Intervention delivered to patients by digital health platform.
Clinical Decision Support System
Clinical Decision Support System using Measurement-Based Care and Digital Decision Support Platform
Interventions
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Clinical Decision Support System
Clinical Decision Support System using Measurement-Based Care and Digital Decision Support Platform
Eligibility Criteria
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Inclusion Criteria
* able to provide informed consent
* patients must confirm that they are comfortable being treated for depression by their physician, who may propose a range of treatment options, such as medications or psychotherapies, consistent with best practice guidelines for depression which are included in the application. Physicians will be required, as in usual practice, to explain treatments to patients and patients will be able to give and withdraw consent for treatment in general or for specific treatments as in usual practice.
* any family doctor/primary care physician or psychiatrist accredited in Canada or the USA who treats patients with depression on at least a monthly basis, as well as residents from these specialities supervised by a participating physician
* able to provide informed consent
* comfortable prescribing the range of potential treatments which could have probabilities provided for them by the CDA
Exclusion Criteria
* inability or unwillingness of the individual to give informed consent
* inability to manage patient in an outpatient setting (i.e. imminent suicidality)
* active major depression is not the main condition being treated (i.e. the patient has depressive symptoms in the context of severe substance abuse or a psychotic disorder, but a primary diagnosis of major depressive episode (MDE) cannot be made or would result in inappropriate care).
* inability to use the tool (i.e. patient cannot interface with a mobile phone or computer due to delirium, or another medical condition)\* \*Note that for patients who do not have access to mobile or desktop devices but are able to use them or to be trained to use them, these will be provided to them at no cost.
18 Years
ALL
No
Sponsors
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McGill University
OTHER
Aifred Health
INDUSTRY
Responsible Party
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Aifred Health
Clinical Trial Manager
Locations
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VA New Haven, VA Connecticut Healthcare System
West Haven, Connecticut, United States
South Florida Veterans Affairs
Miami, Florida, United States
Emory University
Atlanta, Georgia, United States
University of Michigan, Michigan Medicine
Ann Arbor, Michigan, United States
Salem VAMC
Salem, Virginia, United States
CAMH: The Centre for Addiction and Mental Health
Toronto, Ontario, Canada
CIUSSS de l'Est-de-l'Île-de-Montréal
Montreal, Quebec, Canada
CIUSSS De Centre Ouest De L'île de Montréal
Montreal, Quebec, Canada
McGill University Health Care Centre (MUHC)
Montreal, Quebec, Canada
CIUSSS De L'Ouest de L'île de Montréal
Montreal, Quebec, Canada
Douglas Mental Health University Institute
Verdun, Quebec, Canada
Countries
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References
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Benrimoh D, Whitmore K, Richard M, Golden G, Perlman K, Jalali S, Friesen T, Barkat Y, Mehltretter J, Fratila R, Armstrong C, Israel S, Popescu C, Karp JF, Parikh SV, Golchi S, Moodie EEM, Shen J, Gifuni AJ, Ferrari M, Sapra M, Kloiber S, Pinard GF, Dunlop BW, Looper K, Ranganathan M, Enault M, Beaulieu S, Rej S, Hersson-Edery F, Steiner W, Anacleto A, Qassim S, McGuire-Snieckus R, Margolese HC. Artificial Intelligence in Depression-Medication Enhancement (AID-ME): A Cluster Randomized Trial of a Deep-Learning-Enabled Clinical Decision Support System for Personalized Depression Treatment Selection and Management. J Clin Psychiatry. 2025 Aug 27;86(3):24m15634. doi: 10.4088/JCP.24m15634.
Other Identifiers
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IUSMD 18-04
Identifier Type: -
Identifier Source: org_study_id
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