Virtual Implicit Bias Reduction and Neutralization Training (VIBRANT)

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 VIB…

This description comes directly from the study's public registry record.

Freda Liu, PhD  ·  206-987-3295  ·  fredaliu@uw.edu

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