Implicit bias assessment by career stage in medical education training: a narrative review

Abstract Implicit biases involve associations outside conscious awareness that lead to a negative evaluation of a person based on individual characteristics. Early evaluation of implicit bias in medical training can prevent long-term adverse health outcomes related to racial bias. However, to our kn...

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Main Authors: Alisha Crump, May Saad Al-Jorani, Sunya Ahmed, Ekas Abrol, Shikha Jain
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Education
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Online Access:https://doi.org/10.1186/s12909-024-06319-9
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author Alisha Crump
May Saad Al-Jorani
Sunya Ahmed
Ekas Abrol
Shikha Jain
author_facet Alisha Crump
May Saad Al-Jorani
Sunya Ahmed
Ekas Abrol
Shikha Jain
author_sort Alisha Crump
collection DOAJ
description Abstract Implicit biases involve associations outside conscious awareness that lead to a negative evaluation of a person based on individual characteristics. Early evaluation of implicit bias in medical training can prevent long-term adverse health outcomes related to racial bias. However, to our knowledge, no present studies examine the sequential assessment of implicit bias through the different stages of medical training. The objective of this narrative review is to examine the breadth of existing publications that assess implicit bias at the current levels of medical training, pre-medical, graduate, and postgraduate. Protocol for this study was drafted using the Scale for the Assessment of Narrative Reviews (SANRA). Keyword literature search on peer-reviewed databases Google Scholar, PubMed, Ebsco, ScienceDirect, and MedEd Portal from January 1, 2017, to March 1, 2022, was used to identify applicable research articles. The online database search identified 1,512 articles. Full screening resulted in 75 papers meeting the inclusion criteria. Over 50% of extracted papers (74%) were published between 2019 and 2021 and investigated implicit bias at the post-graduate level (43%), followed by the graduate level (34%), and pre-medical level (9.4%). Fourteen percent were classified as mixed. Studies at the medical and medical graduate level identified an implicit preference towards white, male, non-LGBTQIA+, thin, patients. Study findings highlight notable gaps within the sequential assessment of implicit bias, specifically at the pre-medical training level. Longitudinal epidemiological research is needed to examine the long-term effect of implicit biases on existing healthcare disparities.
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spelling doaj-art-ec7e615387d5491cb9c8bc86a19f61992025-02-02T12:29:56ZengBMCBMC Medical Education1472-69202025-01-0125111210.1186/s12909-024-06319-9Implicit bias assessment by career stage in medical education training: a narrative reviewAlisha Crump0May Saad Al-Jorani1Sunya Ahmed2Ekas Abrol3Shikha Jain4School of Pharmacy, University of Maryland, Postdoctoral FellowCollege of Medicine, Medical Student, Mustansiriyah UniversitySt. George’s University, School of Medicine West Indies, Medical StudentThe University of Illinois Cancer Center, Research SpecialistUniversity of Illinois Chicago, College of Medicine, Associate Professor of MedicineAbstract Implicit biases involve associations outside conscious awareness that lead to a negative evaluation of a person based on individual characteristics. Early evaluation of implicit bias in medical training can prevent long-term adverse health outcomes related to racial bias. However, to our knowledge, no present studies examine the sequential assessment of implicit bias through the different stages of medical training. The objective of this narrative review is to examine the breadth of existing publications that assess implicit bias at the current levels of medical training, pre-medical, graduate, and postgraduate. Protocol for this study was drafted using the Scale for the Assessment of Narrative Reviews (SANRA). Keyword literature search on peer-reviewed databases Google Scholar, PubMed, Ebsco, ScienceDirect, and MedEd Portal from January 1, 2017, to March 1, 2022, was used to identify applicable research articles. The online database search identified 1,512 articles. Full screening resulted in 75 papers meeting the inclusion criteria. Over 50% of extracted papers (74%) were published between 2019 and 2021 and investigated implicit bias at the post-graduate level (43%), followed by the graduate level (34%), and pre-medical level (9.4%). Fourteen percent were classified as mixed. Studies at the medical and medical graduate level identified an implicit preference towards white, male, non-LGBTQIA+, thin, patients. Study findings highlight notable gaps within the sequential assessment of implicit bias, specifically at the pre-medical training level. Longitudinal epidemiological research is needed to examine the long-term effect of implicit biases on existing healthcare disparities.https://doi.org/10.1186/s12909-024-06319-9Implicit biasMedical educationPre-medicalMedicalGraduate
spellingShingle Alisha Crump
May Saad Al-Jorani
Sunya Ahmed
Ekas Abrol
Shikha Jain
Implicit bias assessment by career stage in medical education training: a narrative review
BMC Medical Education
Implicit bias
Medical education
Pre-medical
Medical
Graduate
title Implicit bias assessment by career stage in medical education training: a narrative review
title_full Implicit bias assessment by career stage in medical education training: a narrative review
title_fullStr Implicit bias assessment by career stage in medical education training: a narrative review
title_full_unstemmed Implicit bias assessment by career stage in medical education training: a narrative review
title_short Implicit bias assessment by career stage in medical education training: a narrative review
title_sort implicit bias assessment by career stage in medical education training a narrative review
topic Implicit bias
Medical education
Pre-medical
Medical
Graduate
url https://doi.org/10.1186/s12909-024-06319-9
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