The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Reducing Implicit Gender Leadership Bias in Academic Medicine With an Educational Intervention
Open accessAbstract
Purpose: One challenge academic health centers face is to advance female faculty to leadership positions and retain them there in numbers equal to men, especially given the equal representation of women and men among graduates of medicine and biological sciences over the last 10 years. The purpose of this study is to investigate the explicit and implicit biases favoring men as leaders, among both men and women faculty, and to assess whether these attitudes change following an educational intervention. Method: The authors used a standardized, 20-minute educational intervention to educate faculty about implicit biases and strategies for overcoming them. Next, they assessed the effect of this intervention. From March 2012 through April 2013, 281 faculty members participated in the intervention across 13 of 18 clinical departments. Results: The study assessed faculty members’ perceptions of bias as well as their explicit and implicit attitudes toward gender and leadership. Results indicated that the intervention significantly changed all faculty members’ perceptions of bias ( P < .05 across all eight measures). Although, as expected, explicit biases did not change following the intervention, the intervention did have a small but significant positive effect on the implicit biases surrounding women and leadership of all participants regardless of age or gender ( P = .008). Conclusions: These results suggest that providing education on bias and strategies for reducing it can serve as an important step toward reducing gender bias in academic medicine and, ultimately, promoting institutional change, specifically the promoting of women to higher ranks.
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Cites
Role congruity theory of prejudice toward female leaders.
Eagly, A. H., & Karau, S. J. (2002) · Psychological Review · doi:10.1037//0033-295x.109.3.573 · Cited by 7,300
Understanding and using the Implicit Association Test: I. An improved scoring algorithm.
Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.85.2.197 · Cited by 5,815
Self-citationUnderstanding and using the Implicit Association Test: III. Meta-analysis of predictive validity.
Greenwald, A. G., Poehlman, T. A., Uhlmann, E. L., & Banaji, M. R. (2009) · Journal of Personality and Social Psychology · doi:10.1037/a0015575 · Cited by 3,257
Science faculty’s subtle gender biases favor male students
Moss-Racusin, C. A., Dovidio, J. F., Brescoll, V. L., Graham, M. J., & Handelsman, J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211286109 · Cited by 3,150
Getting a Job: Is There a Motherhood Penalty?
Correll, S. J., Benard, S., & Paik, I. (2007) · American Journal of Sociology · doi:10.1086/511799 · Cited by 2,525
Gender and the effectiveness of leaders: A meta-analysis.
Eagly, A. H., Karau, S. J., & Makhijani, M. G. (1995) · Psychological Bulletin · doi:10.1037//0033-2909.117.1.125 · Cited by 1,284
Long-term reduction in implicit race bias: A prejudice habit-breaking intervention
Devine, P. G., Forscher, P. S., Austin, A. J., & Cox, W. T. L. (2012) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2012.06.003 · Cited by 1,259
Pervasiveness and correlates of implicit attitudes and stereotypes
Nosek, B. A., Smyth, F. L., Hansen, J. J., Devos, T., Lindner, N. M., Ranganath, K. A., Smith, C. T., Olson, K. R., Chugh, D., Greenwald, A. G., et al. (2007) · European Review of Social Psychology · doi:10.1080/10463280701489053 · Cited by 1,247
Self-citationUnderstanding and Using the Implicit Association Test: II. Method Variables and Construct Validity
Nosek, B. A., Greenwald, A. G., & Banaji, M. R. (2005) · Personality and Social Psychology Bulletin · doi:10.1177/0146167204271418 · Cited by 1,158
Self-citationThe Malleability of Automatic Stereotypes and Prejudice
Blair, I. V. (2002) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr0603_8 · Cited by 1,152
Cited by
Eliminating Explicit and Implicit Biases in Health Care: Evidence and Research Needs
Vela, M. B., Erondu, A. I., Smith, N. A., Peek, M. E., Woodruff, J. N., & Chin, M. H. (2022) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-052620-103528 · Cited by 426
Butkus, R., Serchen, J., Moyer, D. V., Bornstein, S. S., Hingle, S. T., & for the Health and Public Policy Committee of the American College of Physicians* (2018) · Annals of Internal Medicine · doi:10.7326/m17-3438 · Cited by 322
Teherani, A., Hauer, K. E., Fernandez, A., King, T. E., & Lucey, C. (2018) · Academic Medicine · doi:10.1097/acm.0000000000002323 · Cited by 291
Speaker Introductions at Internal Medicine Grand Rounds: Forms of Address Reveal Gender Bias
Files, J. A., Mayer, A. P., Ko, M. G., Friedrich, P., Jenkins, M., Bryan, M. J., Vegunta, S., Wittich, C. M., Lyle, M. A., Melikian, R., et al. (2017) · Journal of Women's Health · doi:10.1089/jwh.2016.6044 · Cited by 284
Estimating Implicit and Explicit Gender Bias Among Health Care Professionals and Surgeons
Salles, A., Awad, M., Goldin, L., Krus, K., Lee, J. V., Schwabe, M. T., & Lai, C. K. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.6545 · Cited by 264
Metadata
- Authors
- Girod, S., Fassiotto, M., Grewal, D., Ku, M. C., Sriram, N., Nosek, B. A., & Valantine, H.
- Venue
- Academic Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-08
- Volume
- 91
- Issue
- 8
- Pages
- 1143-1150
- ISSN
- 1040-2446 (ISSN-L)
- OpenAlex
- W2335036046
- Cited by
- 323
- References
- 42
- FWCI
- 66.89
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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