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TreadWill, an Automated Intervention for Depressive Symptoms

NCT04703491 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 500

Last updated 2021-05-04

No results posted yet for this study

Summary

TreadWill is a fully automated digital intervention that provides a multi-modal treatment for depressive symptoms. It includes:

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.

Conditions

  • Depressive Symptoms

Interventions

BEHAVIORAL

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.

BEHAVIORAL

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

OTHER

Waitlist control

Participants will be put on a waitlist for a period of 6 weeks.

Sponsors & Collaborators

  • Indian Institute of Technology Kanpur

    lead OTHER

Principal Investigators

  • Nitin Gupta, PhD · Indian Institute of Technology Kanpur

Study Design

Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
35 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-04-27
Primary Completion
2022-01-31
Completion
2022-04-30

Countries

  • India

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04703491 on ClinicalTrials.gov