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 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.