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Dig Dis Sci ; 67(2): 380-387, 2022 02.
Artigo em Inglês | MEDLINE | ID: mdl-33141389

RESUMO

BACKGROUND: Though there are an increasing number of female medical graduates, women remain underrepresented in academic medicine. There have been several reasons to explain this gender disparity, including marital status, number of children, number of hours worked, job flexibility, perceptions of women as inferior leaders, gender bias, sexual harassment, and unsupportive academic climates. AIMS: This study aimed to investigate the relationship between scholarly productivity and the representation of female gastroenterologists in academia. Specifically, scholarly productivity measured by the h-index and academic rank were explored to determine if there were gender disparities in academic productivity and rank in gastroenterology. METHODS: Gastroenterology departmental listings were obtained from the Fellowship and Residency Interactive Database of the American Medical Association. The Scopus database was used to record each physician's h-index. Statistical analyses were conducted with Wilcoxon rank-sum test, which compared matched samples by academic rank, and ANOVA tests, which compared multiple academic ranks. RESULTS: Out of 1703 academic gastroenterologists, women account for 25% of academic physicians. Women have statistically lower h-indices at the level of Assistant Professor (p = 0.0012), and at the level of Chair (p = 0.01). There was no difference in h-indices between male and female at the rank of Associate Professor and Professor. CONCLUSIONS: While these results mirror patterns appreciated in other fields of medicine, the results at the rank of Chair may suggest that despite the lower h-index compared to their male counterparts, females are perceived as having strong inherent leadership skills outside of academic productivity that are also conducive to leading a department and may be contributing to their rise to Chair.


Assuntos
Docentes de Medicina/estatística & dados numéricos , Gastroenterologia/estatística & dados numéricos , Equidade de Gênero , Médicas/estatística & dados numéricos , Educação Médica , Humanos
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