iTEST: Introspective Accuracy as a Novel Target for Functioning in Psychotic Disorders

Part of paid clinical trials in La Jolla, California.

Sponsor
University of California, San Diego
Study ID
NCT05899348
Status
Completed

Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - 65 Years
Healthy Volunteers
Not accepted

Interventions

  • iTEST — BEHAVIORAL
    iTEST is a computerized training intervention delivered on a mobile device that is coupled with individual contacts with a therapist/coach. The mobile components train in improving participant's ability to form accurate judgments about their performance and their rate of functional activities. The intervention involves coaching coupled with automated training that is delivered on a mobile device. The automated training involves daily cognitive tests in which the goal for treatment is to improve judgments of accuracy of self-assessment, and coaching is aimed at applying improving metacognitive awareness to every day activities.

Study Details

People with psychotic disorders experience a high level of functional disability, and a major contributor to this disability is introspective accuracy, which is defined as inaccurate judgements of one's abilities and performance on tasks. Yet, no intervention has directly targeted introspective accuracy for psychotic illnesses. This trial will evaluate a new intervention, called iTEST, that uses mobile devices to train people with psychotic disorders to improve introspective accuracy and, ultimately, functional outcomes

Key Dates

Start date
Oct 1, 2023
Status verified
Feb 2026
Primary completion
Jul 1, 2025
Completion
Aug 1, 2025

Study Design

Enrollment
69 participants (actual)
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT

Arms

  • Experimental: iTEST

Primary Outcome Measure

Trained Introspective Accuracy [ Time Frame: Change from Baseline to 16 week follow up assessment ]

Locations (2)

FacilityCityStateZIPSite coordinators
University of California, San DiegoLa JollaCalifornia92037-
University of Texas at DallasRichardsonTexas75080-

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