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1.
J Womens Health (Larchmt) ; 26(5): 560-570, 2017 05.
Artigo em Inglês | MEDLINE | ID: mdl-28281870

RESUMO

BACKGROUND: Women are less successful than men in renewing R01 grants from the National Institutes of Health. Continuing to probe text mining as a tool to identify gender bias in peer review, we used algorithmic text mining and qualitative analysis to examine a sample of critiques from men's and women's R01 renewal applications previously analyzed by counting and comparing word categories. METHODS: We analyzed 241 critiques from 79 Summary Statements for 51 R01 renewals awarded to 45 investigators (64% male, 89% white, 80% PhD) at the University of Wisconsin-Madison between 2010 and 2014. We used latent Dirichlet allocation to discover evaluative "topics" (i.e., words that co-occur with high probability). We then qualitatively examined the context in which evaluative words occurred for male and female investigators. We also examined sex differences in assigned scores controlling for investigator productivity. RESULTS: Text analysis results showed that male investigators were described as "leaders" and "pioneers" in their "fields," with "highly innovative" and "highly significant research." By comparison, female investigators were characterized as having "expertise" and working in "excellent" environments. Applications from men received significantly better priority, approach, and significance scores, which could not be accounted for by differences in productivity. CONCLUSIONS: Results confirm our previous analyses suggesting that gender stereotypes operate in R01 grant peer review. Reviewers may more easily view male than female investigators as scientific leaders with significant and innovative research, and score their applications more competitively. Such implicit bias may contribute to sex differences in award rates for R01 renewals.


Assuntos
Pesquisa Biomédica , Mineração de Dados , Linguística , National Institutes of Health (U.S.) , Revisão da Pesquisa por Pares , Apoio à Pesquisa como Assunto , Sexismo , Distinções e Prêmios , Feminino , Humanos , Masculino , Pesquisa Qualitativa , Fatores Sexuais , Estados Unidos , Wisconsin , Redação
2.
Acad Med ; 91(8): 1080-8, 2016 08.
Artigo em Inglês | MEDLINE | ID: mdl-27276003

RESUMO

PURPOSE: Prior text analysis of R01 critiques suggested that female applicants may be disadvantaged in National Institutes of Health (NIH) peer review, particularly for renewals. NIH altered its review format in 2009. The authors examined R01 critiques and scoring in the new format for differences due to principal investigator (PI) sex. METHOD: The authors analyzed 739 critiques-268 from 88 unfunded and 471 from 153 funded applications for grants awarded to 125 PIs (76 males, 49 females) at the University of Wisconsin-Madison between 2010 and 2014. The authors used seven word categories for text analysis: ability, achievement, agentic, negative evaluation, positive evaluation, research, and standout adjectives. The authors used regression models to compare priority and criteria scores, and results from text analysis for differences due to PI sex and whether the application was for a new (Type 1) or renewal (Type 2) R01. RESULTS: Approach scores predicted priority scores for all PIs' applications (P < .001), but scores and critiques differed significantly for male and female PIs' Type 2 applications. Reviewers assigned significantly worse priority, approach, and significance scores to female than male PIs' Type 2 applications, despite using standout adjectives (e.g., "outstanding," "excellent") and making references to ability in more critiques (P < .05 for all comparisons). CONCLUSIONS: The authors' analyses suggest that subtle gender bias may continue to operate in the post-2009 NIH review format in ways that could lead reviewers to implicitly hold male and female applicants to different standards of evaluation, particularly for R01 renewals.


Assuntos
Pesquisa Biomédica , Revisão da Pesquisa por Pares , Pesquisadores/estatística & dados numéricos , Fatores Sexuais , Sexismo/estatística & dados numéricos , Feminino , Humanos , Masculino , National Institutes of Health (U.S.) , Estados Unidos
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