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Anti-Indigenous bias of medical school applicants: a cross-sectional study
BACKGROUND: Structural and interpersonal anti-Indigenous racism is prevalent in Canadian healthcare. The Truth and Reconciliation Commission calls on medical schools to address anti-Indigenous bias in students. We measured the prevalence of interpersonal anti-Indigenous bias among medical school app...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484063/ https://www.ncbi.nlm.nih.gov/pubmed/36123670 http://dx.doi.org/10.1186/s12909-022-03739-3 |
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author | Roach, Pamela Hernandez, Santanna Carbert, Amanda Jalil, Rabiya Panaccione, Remo Ruzycki, Shannon M. |
author_facet | Roach, Pamela Hernandez, Santanna Carbert, Amanda Jalil, Rabiya Panaccione, Remo Ruzycki, Shannon M. |
author_sort | Roach, Pamela |
collection | PubMed |
description | BACKGROUND: Structural and interpersonal anti-Indigenous racism is prevalent in Canadian healthcare. The Truth and Reconciliation Commission calls on medical schools to address anti-Indigenous bias in students. We measured the prevalence of interpersonal anti-Indigenous bias among medical school applicants to understand how the medical school selection process selects for or against students with high levels of bias. METHODS: All applicants to a single university in the 2020–2021 admissions cycle were invited to participate. Explicit anti-Indigenous bias was measured using two sliding scale thermometers. The first asked how participants felt about Indigenous people (from 0, indicating ‘cold/unfavourable’ to 100, indicating ‘warm/favourable’) and the second asked whether participants preferred white (scored 100) or Indigenous people (scored 0). Participants then completed an implicit association test examining preferences for European or Indigenous faces (negative time latencies suggest preference for European faces). Explicit and implicit anti-Indigenous biases were compared by applicant demographics (including gender and racial identity), application status (offered an interview, offered admission, accepted a position), and compared to undergraduate medical and mathematics students. RESULTS: There were 595 applicant respondents (32.4% response rate, 64.2% cisgender women, 55.3% white). Applicants felt warmly toward Indigenous people (median 96 (IQR 80–100)), had no explicit preference for white or Indigenous people (median 50 (IQR 37–55), and had mild implicit preference for European faces (− 0.22 ms (IQR -0.54, 0.08 ms)). There were demographic differences associated with measures of explicit and implicit bias. Applicants who were offered admission had warmer feelings toward Indigenous people and greater preference for Indigenous people compared to those were not successful. CONCLUSIONS: Medical school applicants did not have strong interpersonal explicit and implicit anti-Indigenous biases. Outlier participants with strong biases were not offered interviews or admission to medical school. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-022-03739-3. |
format | Online Article Text |
id | pubmed-9484063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94840632022-09-20 Anti-Indigenous bias of medical school applicants: a cross-sectional study Roach, Pamela Hernandez, Santanna Carbert, Amanda Jalil, Rabiya Panaccione, Remo Ruzycki, Shannon M. BMC Med Educ Research BACKGROUND: Structural and interpersonal anti-Indigenous racism is prevalent in Canadian healthcare. The Truth and Reconciliation Commission calls on medical schools to address anti-Indigenous bias in students. We measured the prevalence of interpersonal anti-Indigenous bias among medical school applicants to understand how the medical school selection process selects for or against students with high levels of bias. METHODS: All applicants to a single university in the 2020–2021 admissions cycle were invited to participate. Explicit anti-Indigenous bias was measured using two sliding scale thermometers. The first asked how participants felt about Indigenous people (from 0, indicating ‘cold/unfavourable’ to 100, indicating ‘warm/favourable’) and the second asked whether participants preferred white (scored 100) or Indigenous people (scored 0). Participants then completed an implicit association test examining preferences for European or Indigenous faces (negative time latencies suggest preference for European faces). Explicit and implicit anti-Indigenous biases were compared by applicant demographics (including gender and racial identity), application status (offered an interview, offered admission, accepted a position), and compared to undergraduate medical and mathematics students. RESULTS: There were 595 applicant respondents (32.4% response rate, 64.2% cisgender women, 55.3% white). Applicants felt warmly toward Indigenous people (median 96 (IQR 80–100)), had no explicit preference for white or Indigenous people (median 50 (IQR 37–55), and had mild implicit preference for European faces (− 0.22 ms (IQR -0.54, 0.08 ms)). There were demographic differences associated with measures of explicit and implicit bias. Applicants who were offered admission had warmer feelings toward Indigenous people and greater preference for Indigenous people compared to those were not successful. CONCLUSIONS: Medical school applicants did not have strong interpersonal explicit and implicit anti-Indigenous biases. Outlier participants with strong biases were not offered interviews or admission to medical school. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-022-03739-3. BioMed Central 2022-09-19 /pmc/articles/PMC9484063/ /pubmed/36123670 http://dx.doi.org/10.1186/s12909-022-03739-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Roach, Pamela Hernandez, Santanna Carbert, Amanda Jalil, Rabiya Panaccione, Remo Ruzycki, Shannon M. Anti-Indigenous bias of medical school applicants: a cross-sectional study |
title | Anti-Indigenous bias of medical school applicants: a cross-sectional study |
title_full | Anti-Indigenous bias of medical school applicants: a cross-sectional study |
title_fullStr | Anti-Indigenous bias of medical school applicants: a cross-sectional study |
title_full_unstemmed | Anti-Indigenous bias of medical school applicants: a cross-sectional study |
title_short | Anti-Indigenous bias of medical school applicants: a cross-sectional study |
title_sort | anti-indigenous bias of medical school applicants: a cross-sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484063/ https://www.ncbi.nlm.nih.gov/pubmed/36123670 http://dx.doi.org/10.1186/s12909-022-03739-3 |
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