ClinicalTrials.Veeva

Menu

Application of the Web-based Acceptance and Commitment Therapy for Depression (ACTION)

G

Gachon University

Status

Enrolling

Conditions

Major Depressive Disorder

Treatments

Device: Web-based ACT
Behavioral: Treatment as usual

Study type

Interventional

Funder types

Other

Identifiers

NCT06293781
GachonU

Details and patient eligibility

About

PROSPECTIVE INTERVENTION STUDY; EFFICACY OF WEB-BASED ACCEPTANCE AND COMMITMENT THERAPY

Full description

Acceptance Commitment Therapy (ACT) is known to help people recover from depression by improving psychological flexibility through acceptance, defusion, self-as-context, present moment, committed action, and helping them live a values-based life. This study is a randomized controlled trial to determine if web-based ACT leads to changes in the psychological flexibility and cognitive fusion. Also, through the functional MRI study, possible treatment mechanisms by which the web-based ACT exerts will be identified.

Enrollment

60 estimated patients

Sex

All

Ages

19 to 65 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients who diagnosed major depressive disorder

Exclusion criteria

  • Patients who have serious medical problems, metal implants in their bodies, severe brain injury or brain disease
  • Women who were pregnant or nursing
  • Patients at high risk for suicide

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

60 participants in 2 patient groups

ACT
Experimental group
Description:
Web-based ACT with treatment as usual
Treatment:
Behavioral: Treatment as usual
Device: Web-based ACT
Controls
Active Comparator group
Description:
Waitlist being on the treatment as usual
Treatment:
Behavioral: Treatment as usual

Trial contacts and locations

1

Loading...

Central trial contact

Kyoung-Sae Na, MD, PhD

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems