A Brief Online Implicit Bias Intervention for School Mental Health Clinicians

Int J Environ Res Public Health. 2022 Jan 7;19(2):679. doi: 10.3390/ijerph19020679.

Abstract

Clinician bias has been identified as a potential contributor to persistent healthcare disparities across many medical specialties and service settings. Few studies have examined strategies to reduce clinician bias, especially in mental healthcare, despite decades of research evidencing service and outcome disparities in adult and pediatric populations. This manuscript describes an intervention development study and a pilot feasibility trial of the Virtual Implicit Bias Reduction and Neutralization Training (VIBRANT) for mental health clinicians in schools-where most youth in the U.S. access mental healthcare. Clinicians (N = 12) in the feasibility study-a non-randomized open trial-rated VIBRANT as highly usable, appropriate, acceptable, and feasible for their school-based practice. Preliminarily, clinicians appeared to demonstrate improvements in implicit bias knowledge, use of bias-management strategies, and implicit biases (as measured by the Implicit Association Test [IAT]) post-training. Moreover, putative mediators (e.g., clinicians' VIBRANT strategies use, IAT D scores) and outcome variables (e.g., clinician-rated quality of rapport) generally demonstrated correlations in the expected directions. These pilot results suggest that brief and highly scalable online interventions such as VIBRANT are feasible and promising for addressing implicit bias among healthcare providers (e.g., mental health clinicians) and can have potential downstream impacts on minoritized youth's care experience.

Keywords: Implicit Association Test (IAT); human-centered design; implicit bias; mental healthcare professionals; online training; school mental health.

Publication types

  • Clinical Trial
  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Attitude of Health Personnel
  • Bias, Implicit*
  • Child
  • Feasibility Studies
  • Healthcare Disparities
  • Humans
  • Internet-Based Intervention*
  • Mental Health
  • Pilot Projects