TreadWill, an Automated Intervention for Depressive Symptoms
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Depressive Symptoms
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentMasking: Double (Participant, Outcomes Assessor)Masking Description: The participant is masked to the intervention assigned to them. All outcome measures are self-reported by the participants through a computer program without any involvement of the experimenters.Primary Purpose: Supportive Care
Participation Requirements
- Age
- Between 18 years and 35 years
- Gender
- Both males and females
Description
TreadWill is an online tool to deliver automated intervention for depressive symptoms. TreadWill helps the participants learn the concepts of Cognitive Behavioral Therapy (CBT), and practice mindfulness in an interactive manner. It also has games based on Cognitive Bias Modification (CBM) and an emp...
TreadWill is an online tool to deliver automated intervention for depressive symptoms. TreadWill helps the participants learn the concepts of Cognitive Behavioral Therapy (CBT), and practice mindfulness in an interactive manner. It also has games based on Cognitive Bias Modification (CBM) and an empathetic chatbot. We hypothesize that participants using TreadWill will show a significant reduction in depressive symptoms and will show engagement with the program. To test this hypothesis, we are conducting a randomized controlled trial. We will randomize participants into three groups: experimental, active control, and waitlist. Participants randomized to the experimental group will get access to the full-featured version of TreadWill as described above. Participants randomized to the active control group will have access to a limited version of TreadWill designed to deliver basic CBT in plain text format. The waitlisted participants will be put on a waitlist for 6 weeks.
Tracking Information
- NCT #
- NCT04703491
- Collaborators
- Not Provided
- Investigators
- Principal Investigator: Nitin Gupta, PhD Indian Institute of Technology Kanpur
Get Well Soon