| Literature DB >> 32792453 |
Megan E L Brown1, George E G Hunt2, Ffion Hughes2, Gabrielle M Finn2.
Abstract
OBJECTIVE: To explore medical student perceptions and experiences of gender bias within medical education.Entities:
Keywords: education & training (see medical education & training); medical education & training; qualitative research
Mesh:
Year: 2020 PMID: 32792453 PMCID: PMC7430333 DOI: 10.1136/bmjopen-2020-039092
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Adapted table from William’s work on patterns of gender bias
| Pattern of bias | Description |
| Prove-it-again! | Descriptive bias—stems from assumptions about the typical woman. Women have to prove themselves over and over again to be seen as equally competent to men. |
| Tight-rope bias | Prescriptive bias—stems from assumptions about how women should behave. Describes a double bind: if women behave in traditionally feminine ways they exacerbate prove-it-again problems. If they behave in masculine ways, they are seen as lacking social skills. |
| The maternal wall | Descriptive bias—strong negative competence and commitment assumptions triggered by motherhood. |
| Prescriptive bias—disapproval on the basis that mothers should be at home and working fewer hours. Women with children are routinely pushed to the margins of the professional world. | |
| Tug of war | Occurs as women navigate own path between assimilating masculine traditions and resisting them. Women’s different strategies (eg, tom boy vs preserving female tradition) pit them against one another, leading to judgement on the ‘right way’ to be a woman. |
Bias is described as either descriptive bias (regarding what women are like), prescriptive bias (regarding how women should behave) or both.
Participant demographics
| Gender | Age | Year of study (students) | Ethnicity | Institutions |
| Occupational position (faculty) | ||||
|
|
|
| White British=22 |
|
| Year 1 |
| Year 1=3 | Black British=2 | Institution A: 5 |
| Male=0 | 20–30=1 | Year 2=5 | Asian British=1 | Institution B: 23 |
| Female=2 | 30–40=1 | Year 3=8 | Chinese=1 | Institution C: 2 |
| Trans male=1 | 40–50=1 | Year 4=10 | Any other Asian background=1 | Institution D: 1 |
| Year 2 | 50–60=5 | Year 5=6 | Indian British=1 | Institution E: 1 |
| Male=3 | 60–70=1 | Faculty: | White European=2 | Faculty: |
| Female=2 | Non-clinical academic: 2 | Arab=2 | All from one institution (institution B). | |
| Year 3 | Clinical academic: 6 | Mixed=7 | ||
| Male=3 | Administrative: 1 | Black African=2 | ||
| Female=5 | ||||
| Year 4 | ||||
| Male=0 | ||||
| Female=10 | ||||
| Year 5 | ||||
| Male=1 | ||||
| Female=5 | ||||
|
| ||||
| Male=6 | ||||
| Female=3 |
Major themes, subthemes and open codes
| Major theme | Perceptions of a culture of bias | Organisational culture | Desired transformational change |
| Subtheme 1: | Patterns of bias | Culture | Action |
| Open codes: | Maternal wall bias | Sociocultural impact | Balancing the boardroom |
| Tug of war | Paradigmatic trajectories | Balancing the Multidisciplinary team | |
| Prove-it-again | Physical environments | Balance redresser | |
| Tight-rope bias | Educational environments | ||
| Subtheme 2: | Underestimations | Discrimination | Barriers |
| Open codes: | Capability | Intersectional | Initiative challenges |
| Pressure | Overtly perceived | Reporting challenges | |
| Microaggressions | |||
| Structural |