Background: More and more female residents enter postgraduate medical training (PGMT). Meanwhile, women are still underrepresented in academic medicine, in leadership positions and in most surgical specialties. This suggests that female residents' career development may still be negatively impacted by subtle, often unconscious stereotype associations regarding gender and career-ambition, called implicit gender-career bias. This study explored the existence and strength of implicit gender-career bias in doctors who currently work in PGMT, i.e. in attending physicians who act as clinical trainers and in their residents.
Methods: We tested implicit gender-career bias in doctors working in PGMT by means of an online questionnaire and an online Implicit Association Test (IAT). We used standard IAT analysis to calculate participants' IAT D scores, which indicate the direction and strength of bias. Linear regression analyses were used to test whether the strength of bias was related to gender, position (resident or clinical trainer) or specialty (non-surgical or surgical specialty).
Results: The mean IAT D score among 403 participants significantly differed from zero (D-score = 0.36 (SD = 0.39), indicating bias associating male with career and female with family. Stronger gender-career bias was found in women (β =0 .11; CI 0.02; 0.19; p = 0.01) and in residents (β 0.12; CI 0.01; 0.23; p = 0.03).
Conclusions: This study may provide a solid basis for explicitly addressing implicit gender-career bias in PGMT. The general understanding in the medical field is that gender bias is strongest among male doctors' in male-dominated surgical specialties. Contrary to this view, this study demonstrated that the strongest bias is held by females themselves and by residents, independently of their specialty. Apparently, the influx of female doctors in the medical field has not yet reduced implicit gender-career bias in the next generation of doctors, i.e. in today's residents, and in females.
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http://dx.doi.org/10.1186/s12909-021-02694-9 | DOI Listing |
BMC Public Health
April 2024
Department of Sport Science, Bielefeld University, Bielefeld, Germany.
Background: Despite some gains, women continue to have less access to work and poorer experiences in the workplace, relative to men. The purpose of this study was to examine the relationships among women's life expectancy and two work-related factors, sexual harassment and gender-career biases.
Method: We examined the associations at the state level of analysis (and District of Columbia) in the US from 2011 to 2019 (n = 459) using archival data from various sources.
Clin Orthop Relat Res
July 2024
Department of Orthopedic Surgery, The Hughston Foundation/Hughston Clinic, Columbus, GA, USA.
Background: Orthopaedic surgery continues to be one of the least diverse medical specialties. Recently, increasing emphasis has been placed on improving diversity in the medical field, which includes the need to better understand existing biases. Despite this, only about 6% of orthopaedic surgeons are women and 0.
View Article and Find Full Text PDFNat Hum Behav
April 2023
How well can social scientists predict societal change, and what processes underlie their predictions? To answer these questions, we ran two forecasting tournaments testing the accuracy of predictions of societal change in domains commonly studied in the social sciences: ideological preferences, political polarization, life satisfaction, sentiment on social media, and gender-career and racial bias. After we provided them with historical trend data on the relevant domain, social scientists submitted pre-registered monthly forecasts for a year (Tournament 1; N = 86 teams and 359 forecasts), with an opportunity to update forecasts on the basis of new data six months later (Tournament 2; N = 120 teams and 546 forecasts). Benchmarking forecasting accuracy revealed that social scientists' forecasts were on average no more accurate than those of simple statistical models (historical means, random walks or linear regressions) or the aggregate forecasts of a sample from the general public (N = 802).
View Article and Find Full Text PDFMed Educ Online
December 2022
Department of Family Medicine, University of Washington (UW), UW Center for Health Workforce Studies, Seattle, WA, USA.
Problem And Purpose: Healthcare provider implicit bias influences the learning environment and patient care. Bias awareness is one of the key elements to be included in implicit bias education. Research on education enhancing bias awareness is limited.
View Article and Find Full Text PDFPlast Reconstr Surg Glob Open
June 2021
Department of Plastic and Reconstructive Surgery, Stanford University, Santa Rosa, Calif.
Unlabelled: The aim of this study was to examine for the presence of implicit bias within the field of plastic surgery using a gender-specific Implicit Association Test (IAT), specifically looking at gender and career stereotypes.
Methods: A Gender-Career/Family Implicit Association Test was developed and distributed to the international plastic surgery community. Mean scores were calculated.
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