Dataset for: Extent and types of gender-based discrimination against female medical students and physicians at five university hospitals in Germany – Results of an online survey
Data files
Oct 24, 2023 version files 30.57 KB
Abstract
Objective: There is a gap in research on gender-based discrimination (GBD) in medical education and practice in Germany. This study therefore examines the extent and forms of GBD among female medical students and physicians in Germany. Causes, consequences and possible interventions of GBD are discussed.
Methods: Female medical students (n=235) and female physicians (n=157) from five university hospitals in northern Germany were asked about their personal experiences with GBD in an online survey on self-efficacy expectations and individual perceptions of the “glass ceiling effect” using an open-ended question regarding their own experiences with GBD. The answers were analyzed by content analysis using inductive category formation and relative category frequencies.
Results: From both interviewed groups, approximately 75% of each reported having experienced GBD. Their experiences fell into five main categories: sexual harassment with subcategories of verbal and physical, discrimination based on existing/possible motherhood with subcategories of structural and verbal, direct preference for men, direct neglect of women, and derogatory treatment based on gender.
Conclusion: The study contributes to filling the aforementioned research gap. At the hospitals studied, GBD is a common phenomenon among both female medical students and physicians, manifesting itself in multiple forms. Transferability of the results beyond the hospitals studied to all of Germany seems plausible. Much is known about the causes, consequences and effective countermeasures against GBD. Those responsible for training and employers in hospitals should fulfill their responsibility by implementing measures from the set of empirically evaluated interventions.
README: Dataset for: Extent and types of gender-based discrimination against female medical students and physicians at five university hospitals in Germany - Results of an online survey
The Dataset includes the case number, age and categorized answers to the online open question if the study participant had any personal experiences with gender-based discrimination. The Data was collected in 2019 at five university hospitals in northern Germany. The participants were female medical students and physicians.
The evaluation was done according to Mayrings qualitative content analysis. The occurring categories were further summarized by relative frequencies.
Description of the Data and file structure
CASE = case number
GROUP = Was the participant a medical student or physician?
Age = age in years
Kat0 = Was any kind of gender-based Discrimination reported?
Kat1 = sexual harassment or sexist verbal attacks
Kat1v = verbal harassment
Kat1k = physical harassment
Kat2 = discrimination due to possible or existing motherhood
Kat2s = structural discrimination due to possible or existing motherhood
Kat2v = verbal discrimination due to possible or existing motherhood
Kat3 = direct preference of men
Kat4 = direct disadvantaging of women
Kat5 = degrading treatment due to gender
Kat6 = no gender-based discrimination reported
0 / 1 = category (not) applicable
KA = no answer given
Methods
Female medical students and physicians from five university hospitals in northern Germany were given an online open question concerning their personal experiences with gernderbased discrimination. The answers were evaluated by qualitative content analysis (Mayring) and by relative frequencies.