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J Womens Health (Larchmt) ; 25(3): 292-8, 2016 Mar.
Article in English | MEDLINE | ID: mdl-26555562

ABSTRACT

BACKGROUND: Gender stereotypes in science impede supportive environments for women. Research suggests that women's perceptions of these environments are influenced by stereotype threat (ST): anxiety faced in situations where one may be evaluated using negative stereotypes. This study developed and tested ST metrics for first time use with junior faculty in academic medicine. METHODS: Under a 2012 National Institutes of Health Pathfinder Award, Stanford School of Medicine's Office of Diversity and Leadership, working with experienced clinicians, social scientists, and epidemiologists, developed and administered ST measures to a representative group of junior faculty. RESULTS: 174 School of Medicine junior faculty were recruited (62% women, 38% men; 75% assistant professors, 25% instructors; 50% white, 40% Asian, 10% underrepresented minority). Women reported greater susceptibility to ST than did men across all items including ST vulnerability (p < 0.001); rejection sensitivity (p = 0.001); gender identification (p < 0.001); perceptions of relative potential (p = 0.048); and, sense of belonging (p = 0.049). Results of career-related consequences of ST were more nuanced. Compared with men, women reported lower beliefs in advancement (p = 0.021); however, they had similar career interest and identification, felt just as connected to colleagues, and were equally likely to pursue careers outside academia (all p > 0.42). CONCLUSIONS: Innovative ST metrics can provide a more complete picture of academic medical center environments. While junior women faculty are susceptible to ST, they may not yet experience all of its consequences in their early careers. As such, ST metrics offer a tool for evaluating institutional initiatives to increase supportive environments for women in academic medicine.


Subject(s)
Achievement , Faculty, Medical , Leadership , Physicians, Women/psychology , Prejudice/psychology , Stereotyping , Academic Medical Centers , Adult , California , Career Mobility , Female , Humans , Male , Minority Groups/psychology , Minority Groups/statistics & numerical data , Schools, Medical , Socioeconomic Factors , United States
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