Actively Recruiting

Phase Not Applicable
Age: 11Years - 99Years
All Genders
Healthy Volunteers
NCT05970991

Virtual Implicit Bias Reduction and Neutralization Training (VIBRANT)

Led by University of Washington · Updated on 2025-03-12

400

Participants Needed

1

Research Sites

152 weeks

Total Duration

On this page

Sponsors

U

University of Washington

Lead Sponsor

N

National Institute of Mental Health (NIMH)

Collaborating Sponsor

AI-Summary

What this Trial Is About

Healthcare providers' implicit bias has been identified as a contributor to longstanding health inequities via negative impacts on the patient-clinician relationship and biased delivery of high-quality evidence-based practices (EBP). The implementation of any EBP runs the risk of worsening existing health disparities due to inequitable access, delivery, or benefit of the intervention. Clinician bias can be a critical and unaddressed determinant of implementation for any EBP. Although some implicit bias interventions for healthcare providers are emerging, studies have rarely included mental health professionals. In a previously NIMH funded project, our research team iteratively developed a brief (\~45 minutes), interactive online Virtual Implicit Bias Reduction and Neutralization Training (VIBRANT) for school mental health clinicians with promising preliminary findings. The current study will test the effectiveness of VIBRANT-an implementation strategy for promoting equitable adoption, penetration, fidelity, and sustainment of EBPs. One highly learnable, efficient, and scalable EBP that is particularly well-suited for the education sector is Measurement-Base Care (MBC)-the systematic collection of patient-reported progress data to inform clinical decision-making. The proposed study aims to (1) evaluate VIBRANT's feasibility to promote equitable adoption, penetration, fidelity, and sustainment of MBC, with a validated, brief, interactive online training for MBC; (2) examine VIBRANT's impact on proximal mechanisms of change including clinicians' implicit bias as well as distal youth mental health outcomes (i.e., symptoms and functioning) with Black and Latinx youth, and (3) assess feasibility of research procedures for a future large-scale efficacy trial.

CONDITIONS

Official Title

Virtual Implicit Bias Reduction and Neutralization Training (VIBRANT)

Who Can Participate

Age: 11Years - 99Years
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Clinicians must provide school-based mental health services in middle and high school settings for at least 50% of their clinical deployment.
  • Clinicians must provide ongoing one-on-one mental health services to students.
  • Clinicians must have a caseload with at least 20% Black or Latinx students.
  • Youth participants must identify as Black/African American and/or Hispanic/Latina/Latino/Latinx.
  • Youth participants must be starting ongoing treatment with a participating school mental health clinician.
  • Caregivers must be primary caregivers able to answer questions about the youth's daily behaviors and emotional well-being.
Not Eligible

You will not qualify if you...

  • Clinicians who have previously participated in a measurement-based care study with this research team and completed the online MBC training.
  • Clinicians who have participated in a prior study related to VIBRANT.
  • Youths with developmental or learning disabilities that affect informed consent or reliable study participation.
  • Youths who do not speak English or Spanish.
  • Caregivers who do not live with the youth or lack sufficient daily contact to report on the youth's behaviors and emotional well-being.
  • Caregivers who do not speak English or Spanish.

AI-Screening

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Trial Site Locations

Total: 1 location

1

University of Washington

Seattle, Washington, United States, 98115

Actively Recruiting

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Research Team

F

Freda Liu, PhD

CONTACT

How is the study designed?

Study Type

INTERVENTIONAL

Masking

SINGLE

Allocation

RANDOMIZED

Model

PARALLEL

Primary Purpose

HEALTH_SERVICES_RESEARCH

Number of Arms

2

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