TreadWill, an Automated Intervention for Depressive Symptoms
NCT ID: NCT04703491
Last Updated: 2021-05-04
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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UNKNOWN
NA
500 participants
INTERVENTIONAL
2021-04-27
2022-04-30
Brief Summary
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1. Slides and interactive text-based conversations based on Cognitive Behavioral Therapy (CBT);
2. Mindfulness videos;
3. Game-based Cognitive Bias Modification paradigms;
4. An empathetic chatbot. This study's primary aim is to test the differential effectiveness of this full-featured version of TreadWill compared to a text-based CBT program.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
SUPPORTIVE_CARE
DOUBLE
Study Groups
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Full intervention
This group receives the full-featured intervention, including CCBT, CBM, Mindfulness, chatbot with many interactive elements.
Interactive and full-featured intervention
Participants will go through an automated program. Participants will learn and practice the techniques of CBT through multimedia elements. They will play games based on Cognitive Bias Modification (CBM) paradigms, practice mindfulness, and chat with an automated empathic chatbot.
Limited CCBT control group
This group receives feature-limited intervention (text-based computerized CBT)
Feature-limited CCBT
Participants will be going through an automated program. Participants will learn and practice the techniques of CBT in a plain-text format with reduced features
Waitlist control group
This group receives waitlist control.
Waitlist control
Participants will be put on a waitlist for a period of 6 weeks.
Interventions
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Interactive and full-featured intervention
Participants will go through an automated program. Participants will learn and practice the techniques of CBT through multimedia elements. They will play games based on Cognitive Bias Modification (CBM) paradigms, practice mindfulness, and chat with an automated empathic chatbot.
Feature-limited CCBT
Participants will be going through an automated program. Participants will learn and practice the techniques of CBT in a plain-text format with reduced features
Waitlist control
Participants will be put on a waitlist for a period of 6 weeks.
Eligibility Criteria
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Inclusion Criteria
* PHQ-9 Score from 5 to 19
* Access to an internet-enabled Android smartphone
* Plan to use TreadWill in Google Chrome browser
* Agree to allow notifications from TreadWill
* Agree to add TreadWill to Home screen
* Have email on one of the HTML-enabled platforms including Gmail, Outlook, Yahoo, Rediffmail, AOL, Hotmail.
Exclusion Criteria
* Unemployed
* Current or previous diagnosis of bipolar disorder/manic-depressive disorder or psychosis
* Prospective participants who say they only want to check out the program and do not plan to complete it are excluded.
* Used an earlier version of TreadWill
18 Years
35 Years
ALL
No
Sponsors
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Indian Institute of Technology Kanpur
OTHER
Responsible Party
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Nitin Gupta
Associate Professor
Principal Investigators
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Nitin Gupta, PhD
Role: PRINCIPAL_INVESTIGATOR
Indian Institute of Technology Kanpur
Locations
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Indian Institute of Technology Kanpur
Kanpur, Uttar Pradesh, India
Countries
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Central Contacts
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References
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Gilbody S, Brabyn S, Lovell K, Kessler D, Devlin T, Smith L, Araya R, Barkham M, Bower P, Cooper C, Knowles S, Littlewood E, Richards DA, Tallon D, White D, Worthy G; REEACT collaborative. Telephone-supported computerised cognitive-behavioural therapy: REEACT-2 large-scale pragmatic randomised controlled trial. Br J Psychiatry. 2017 May;210(5):362-367. doi: 10.1192/bjp.bp.116.192435. Epub 2017 Mar 2.
Andrews G, Basu A, Cuijpers P, Craske MG, McEvoy P, English CL, Newby JM. Computer therapy for the anxiety and depression disorders is effective, acceptable and practical health care: An updated meta-analysis. J Anxiety Disord. 2018 Apr;55:70-78. doi: 10.1016/j.janxdis.2018.01.001. Epub 2018 Feb 1.
Related Links
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Link for TreadWill study
Other Identifiers
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IITK/IEC/2019-20/II/4
Identifier Type: -
Identifier Source: org_study_id
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