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Gender Bias in Medicine: Does It Exist at AUA Plenary Sessions?
- Source :
-
Urology [Urology] 2021 Apr; Vol. 150, pp. 77-80. Date of Electronic Publication: 2020 May 18. - Publication Year :
- 2021
-
Abstract
- Objective: To determine if gender bias exists at the plenary sessions of the American Urological Association (AUA) annual conference by evaluating variations in the use of a professional title (PT) during speaker introductions at these sessions.<br />Methods: We retrospectively reviewed video archives of all plenary sessions from the AUA annual conferences from 2017 to 2019. Videos that included both plenary introducer and speaker were included for analysis. The following data were collected: conference year, gender, and academic rank of "introducer" and of "speaker," and use of PT (ie, doctor) during speaker introduction. Variations in use of PT for introductions of speakers based on gender of introducer and of speaker were analyzed by chi-square tests.<br />Results: Four hundred and fourteen videos were reviewed; 195 (47%) with a composite 622 introducer/speaker pairs were reviewed and analyzed. Only 8.7% of introducers and 14.6% of speakers were female (Table 1). Overall, there was no difference in the use of PT for introductions of female vs male speakers (61.5% vs 60.8%, P = 0.90). However, male speakers were more likely to be introduced as doctor when introduced by a female vs a male (75.60% vs 59.60%, P = 0.04). Female speakers were equally likely to be introduced as doctor regardless of introducer gender.<br />Conclusion: Men represented the majority of presenters and speakers in the plenary session at AUA meetings. However, there is not a significant difference in the use of PT for AUA plenary speaker introductions based on gender.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)
- Subjects :
- Female
Humans
Retrospective Studies
Societies, Medical organization & administration
United States
Urology organization & administration
Congresses as Topic statistics & numerical data
Sexism statistics & numerical data
Societies, Medical statistics & numerical data
Urology statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1527-9995
- Volume :
- 150
- Database :
- MEDLINE
- Journal :
- Urology
- Publication Type :
- Academic Journal
- Accession number :
- 32439553
- Full Text :
- https://doi.org/10.1016/j.urology.2020.05.012