ADVANCING THE APPROACH TO IMPLICIT BIAS TRAINING AND ENHANCING ITS CONSISTENCY ACROSS THE GLOBE: A SCOPING REVIEW
Abstract - Prejudice exists in many forms, evoking unconscious connotations and stereotypes related to protected characteristics. Implicit Bias (IB) encompasses these associations, whether positive or negative and has been extensively linked to healthcare disparities and poor patient outcomes. Implicit Bias Training (IBT) has emerged as an intervention aimed at helping individuals recognize and address their unrecognized discriminatory patterns. However, institutions such as universities, government sectors, and workforces have struggled to effectively eliminate IB despite implementing various frameworks. The existing research lacks a comprehensive understanding of the varying levels of implicit bias awareness among healthcare professionals, primarily because of the inconsistent approaches and absence of standardized education and strategies to mitigate implicit bias.This review aims to critically analyze existing IBT frameworks in the UK and the USA and propose a standardized IBT framework. The effectiveness of IBT is predominantly assessed using the Implicit Association Test (IAT), the primary metric tool employed for this purpose.
This paper emphasizes the need for a qualitative metric tool to measure IB, in addition to the traditional reliance on IAT scores. Additionally, this paper introduces a prospective framework for teaching IB. By addressing the limitations of current IBT approaches and developing a standardized framework, it is hoped that the reduction of IB can be more effectively achieved.
Keywords - Implicit Bias, Implicit Bias Training, Implicit Association Test, Unconscious Bias, Healthcare disparities