Influence of Gender on Surgical Residency Applicants' Recommendation Letters
作者: Florence E. TurrentineCaitlin N. DreisbachAmanda R. St IvanyJohn B. HanksAnneke T. Schroen
作者单位: 1Department of Surgery, School of Medicine, University of Virginia, Charlottesville, VA
2School of Nursing, University of Virginia, Charlottesville, VA
3Data Science Institute, University of Virginia, Charlottesville, VA
4Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH
刊名: Journal of the American College of Surgeons, 2019, Vol.228 (4), pp.356-365.e3
来源数据库: Elsevier Journal
DOI: 10.1016/j.jamcollsurg.2018.12.020
英文摘要: Background(#br)Implicit bias has been documented in candidate selection within academic medicine. Gender bias is exposed when writers systematically use different language to describe attributes of male and female applicants. This study examined the presence of gender bias in recommendation letters for surgical residency candidates.(#br)Study Design(#br)Recommendation letters for 2016 to 2017 surgery resident applicants selected for interview at an academic institution were analyzed using qualitative text analysis, quantitative text mining, and topic modeling. Dedoose, QDA Miner, and RStudio analytic software were used for analysis.(#br)Results(#br)There were 332 letters of recommendation for 89 applicants (51% male) analyzed. Of 265 letter writers, 86% were male, 21% chairs, and 50%...
全文获取路径: Elsevier  (合作)
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