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Gender bias in academic medicine: a resumé study

BACKGROUND: Minimising the effects of unconscious bias in selection for clinical academic training is essential to ensure that allocation of training posts is based on merit. We looked at the effect of anonymising applications to a training programme for junior doctors on the scores of the applicati...

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Autores principales: Burke, Elaine, Heron, Elizabeth A., Hennessy, Martina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152728/
https://www.ncbi.nlm.nih.gov/pubmed/37127591
http://dx.doi.org/10.1186/s12909-023-04192-6
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author Burke, Elaine
Heron, Elizabeth A.
Hennessy, Martina
author_facet Burke, Elaine
Heron, Elizabeth A.
Hennessy, Martina
author_sort Burke, Elaine
collection PubMed
description BACKGROUND: Minimising the effects of unconscious bias in selection for clinical academic training is essential to ensure that allocation of training posts is based on merit. We looked at the effect of anonymising applications to a training programme for junior doctors on the scores of the applications and on gender balance; and whether female candidates were more likely to seek gender-concordant mentors. METHODS: Applications to the training programme were reviewed and scored independently by reviewers who received either an anonymised or named copy. Scores were compared using a paired t-test, and differences in scores compared by gender. The gender of named supervisors for male and female candidates was compared. RESULTS: Scores of 101 applications were reviewed. When their identity was known, male candidates scored 1.72% higher and female candidates scored 0.74% higher, but these findings were not statistically significant (p value = 0.279 and 0.579). Following introduction of anonymisation, the proportion of successful female candidates increased from 27 to 46%. Female candidates were more likely to name a female supervisor compared to male (41% vs. 25% of supervisors). CONCLUSIONS: Anonymising applications did not significantly change scores, although gender balance improved. Gender-concordant mentoring initiatives should consider effects on mentors as well as mentees. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-023-04192-6.
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spelling pubmed-101527282023-05-03 Gender bias in academic medicine: a resumé study Burke, Elaine Heron, Elizabeth A. Hennessy, Martina BMC Med Educ Research BACKGROUND: Minimising the effects of unconscious bias in selection for clinical academic training is essential to ensure that allocation of training posts is based on merit. We looked at the effect of anonymising applications to a training programme for junior doctors on the scores of the applications and on gender balance; and whether female candidates were more likely to seek gender-concordant mentors. METHODS: Applications to the training programme were reviewed and scored independently by reviewers who received either an anonymised or named copy. Scores were compared using a paired t-test, and differences in scores compared by gender. The gender of named supervisors for male and female candidates was compared. RESULTS: Scores of 101 applications were reviewed. When their identity was known, male candidates scored 1.72% higher and female candidates scored 0.74% higher, but these findings were not statistically significant (p value = 0.279 and 0.579). Following introduction of anonymisation, the proportion of successful female candidates increased from 27 to 46%. Female candidates were more likely to name a female supervisor compared to male (41% vs. 25% of supervisors). CONCLUSIONS: Anonymising applications did not significantly change scores, although gender balance improved. Gender-concordant mentoring initiatives should consider effects on mentors as well as mentees. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-023-04192-6. BioMed Central 2023-05-01 /pmc/articles/PMC10152728/ /pubmed/37127591 http://dx.doi.org/10.1186/s12909-023-04192-6 Text en © The Author(s) 2023 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
Burke, Elaine
Heron, Elizabeth A.
Hennessy, Martina
Gender bias in academic medicine: a resumé study
title Gender bias in academic medicine: a resumé study
title_full Gender bias in academic medicine: a resumé study
title_fullStr Gender bias in academic medicine: a resumé study
title_full_unstemmed Gender bias in academic medicine: a resumé study
title_short Gender bias in academic medicine: a resumé study
title_sort gender bias in academic medicine: a resumé study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152728/
https://www.ncbi.nlm.nih.gov/pubmed/37127591
http://dx.doi.org/10.1186/s12909-023-04192-6
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