ClinicalTrials.gg
CompletedNCT04061642Updated Mar 17, 2021

A Feasibility Study of an AI-Powered Clinical Decision Aid for Personalized Depression Treatment Selection

An interventional study of Clinical Decision Aid in Depression, sponsored by Aifred Health Inc.. Completed at 1 site in Canada. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2021-03-17.

Sponsored by Aifred Health Inc. · Not applicable, Interventional, and Device feasibility

Phase
Not applicable
Study type
Interventional
Enrollment
17
Allocation
Not applicable
Ages
18 Years and older
Sex
All
01

Study summary

The Clinical Decision Aid (CDA) is a predictive model that takes as input individual patient characteristics, called 'features', which are inputted by the physician or by patient self-report, and outputs a list of possible treatments, with each treatment associated with a predicted efficacy (likelihood to achieve response and likelihood to achieve remission, each expressed as a percentage). The treatments, which may include any approved treatment for depression, will be presented to the physician who will then make a treatment choice.

Read the detailed description

Hypothesis 1. There will not be a significant difference in measured non-initial intake appointment lengths between the baseline period and the appointment length measured at two and four months after introduction of the study software and CDA.

Hypothesis 2. Physicians will not subjectively report that using the CDA and study software increased the length of their appointments.

Hypothesis 3. At least 66% of patients and 66% of physicians will rate the trustworthiness of the CDA as a 4 or 5 on a 5 point Likert scale (with higher ratings indicating greater trust).

Hypothesis 4. At least 66% of patients and 66% of physicians will rate the overall usability of the CDA as a 4 or 5 on a 5 point Likert scale (with higher ratings indicating greater usability).

Hypothesis 5. At least 70% of physicians and 65% of patients will still be using the application regularly by the end of the study. For physicians, regularly will be defined as the application being used in every study-related visit. For patients regularly will be defined as completing at least one PHQ-9 and GAD-7 questionnaire on the application per week.

Exploratory hypothesis: Based on our machine learning results to date, we expect between 40-50% of patients starting a new treatment for depression and whose treatment follows the highest probability treatment output by the CDA to remit within 14 weeks. This is exploratory, and the study is not necessarily powered to demonstrate this.

02

Conditions studied

  • Depression

Browse trials for

Keywords

  • Artificial intelligence
  • Deep learning
  • Clinical decision aid
03

In context

Depression

8,245 studies on the registry are indexed under Depression; 1,641 are open to participants now.

This study's enrollment of 17 is below the median of 84 across 6,869 interventional studies indexed under Depression.

Browse Depression studies →

Lead sponsor

This is the only study on the registry with Aifred Health Inc. as lead sponsor.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • All patients of the physicians in the study are diagnosed with major depressive disorder by a physician using DSM-V criteria.
  • All participants must be able to provide informed consent.
  • Contraception will be used as per established clinical guidelines and usual clinical practice for medications known to cause birth defects. The medications prescribed and the use of and type of contraception will be determined by the physicians in the study in consultation with their patients as would usually occur in clinical practice.

Exclusion criteria

Exclusion Criteria:

  • Bipolar disorder type 1 or 2, as the data we have used to train the model does not allow for generalization to bipolar disorder (either pre-existing or as diagnosed according to DSM-5 criteria).
  • Inability or unwillingness of individual to give informed consent.
05

Study design

Phase
Not applicable
Primary purpose
Device feasibility
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
17 participants (actual)

Study arms

  • Experimental
    Clinical Decision Aid

    Device: Clinical Decision Aid

Interventions

  • DeviceClinical Decision Aid

    The Clinical Decision Aid is a predictive model that takes as input individual patient characteristics, called 'features', which are inputted by the physician or by patient self-report, and outputs a list of all possible treatments, with each treatment associated with a predicted efficacy (likelihood to achieve response and likelihood to achieve remission, each expressed as a percentage). The treatments, which may include any approved treatment for depression, will be ordered by efficacy and presented to the physician. Lifestyle interventions, such as exercise or mindfulness, which have an evidence base, but do not require formal regulatory approval, will also be outputted. The system will additionally produce a side effect profile for each pharmacological treatment recommended, including known side effects, modified by a prediction about which side effects may be more likely for a given individual based on their individual characteristics.

06

What researchers measure

Primary outcomes

  1. Subjective length of outpatient visits

    Time frame: Through study completion, 6 months

  2. Objective length of outpatient visits

    Time frame: Through study completion, 6 months

  3. Physician retention rates

    Time frame: Through study completion, 6 months

  4. Patient retention rates

    Time frame: Through study completion, 6 months

  5. Patient self-rated experience using the study software

    We will be using our Clinical Decision Aid Feasibility Questionnaire (Version 1), a descriptive questionnaire with 5-point Likert scales (with higher values representing better outcomes) and narrative questions about experience using the tool.

    Time frame: Through study completion, 6 months

07

Study locations

1 site
  • Douglas Mental Health University Institute
    Verdun, Quebec H4H 1R3, Canada
08

References and documents

Publications

  • Popescu C, Golden G, Benrimoh D, Tanguay-Sela M, Slowey D, Lundrigan E, Williams J, Desormeau B, Kardani D, Perez T, Rollins C, Israel S, Perlman K, Armstrong C, Baxter J, Whitmore K, Fradette MJ, Felcarek-Hope K, Soufi G, Fratila R, Mehltretter J, Looper K, Steiner W, Rej S, Karp JF, Heller K, Parikh SV, McGuire-Snieckus R, Ferrari M, Margolese H, Turecki G. Evaluating the Clinical Feasibility of an Artificial Intelligence-Powered, Web-Based Clinical Decision Support System for the Treatment of Depression in Adults: Longitudinal Feasibility Study. JMIR Form Res. 2021 Oct 25;5(10):e31862. doi: 10.2196/31862. PubMed 34694234 ↗

Individual participant data

Plan to share: Yes

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Mar 17, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04061642
Lead sponsor
Aifred Health Inc.
Responsible party
Sponsor
First posted
Aug 20, 2019
Start date
Dec 16, 2019
Primary completion
Dec 31, 2020
Completion
Dec 31, 2020
Last update
Mar 17, 2021

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Mar 2021. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion