Comparison of women and men in biomedical informatics scientific dissemination: retrospective observational case study of the AMIA Annual Symposium: 2017–2020

Author:

Hartzler Andrea L1ORCID,Leroy Gondy2ORCID,Daurelle Brenda3,Ochoa Magali3,Williamson Jeffrey4,Cohen Dasha4,Stipelman Carole5

Affiliation:

1. Department of Biomedical Informatics and Medical Education School of Medicine, University of Washington, Seattle, Washington, USA

2. Management Information Systems, Eller College of Management, University of Arizona, Tucson, Arizona, USA

3. Data Warehouse, U Health University of Utah, Salt Lake City, Utah, USA

4. American Medical Informatics Association, Bethesda, Maryland, USA

5. Department of Pediatrics, Provider Informatics, Information Technology Services, University of Utah, Salt Lake City, Utah, USA

Abstract

Abstract Objective Although the representation of women in science has improved, women remain underrepresented in scientific publications. This study compares women and men in scholarly dissemination through the AMIA Annual Symposium. Materials and Methods Through a retrospective observational study, we analyzed 2017–2020 AMIA submissions for differences in panels, papers, podium abstracts, posters, workshops, and awards for men compared with women. We assigned a label of woman or man to authors and reviewers using Genderize.io, and then compared submission and acceptance rates, performed regression analyses to evaluate the impact of the assumed gender, and performed sentiment analysis of reviewer comments. Results Of the 4687 submissions for which Genderize.io could predict man or woman based on first name, 40% were led by women and 60% were led by men. The acceptance rate was smilar. Although submission and acceptance rates for women increased over the 4 years, women-led podium abstracts, panels, and workshops were underrepresented. Men reviewers increased the odds of rejection. Men provided longer reviews and lower reviewer scores, but women provided reviews that had more positive words. Discussion Overall, our findings reflect significant gains for women in the 4 years of conference data analyzed. However, there remain opportunities to improve representation of women in workshop submissions, panel and podium abstract speakers, and balanced peer reviews. Future analyses could be strengthened by collecting gender directly from authors, including diverse genders such as non-binary. Conclusion We found little evidence of major bias against women in submission, acceptance, and awards associated with the AMIA Annual Symposium from 2017 to 2020. Our study is unique because of the analysis of both authors and reviewers. The encouraging findings raise awareness of progress and remaining opportunities in biomedical informatics scientific dissemination.

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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