Key result
Female patient vignettes yield ~42% lower recognition of postoperative MI compared to male vignettes.
Why the study?
There have been no studies targeting surgeons' potential gender bias in recognizing postoperative myocardial infarction symptoms despite cardiovascular disease being the leading cause of death in women.
Does patient gender influence surgeons' recognition and management of postoperative myocardial infarction?
Cross-Sectional (n=205)
Single-blind (participants blinded to gender randomization)
Randomized equally distributed assignment to one of two case studies
Yes
Does patient gender influence surgeons' recognition and management of postoperative myocardial infarction?
Absolute Event Rate: 32% vs 55.6%
p-value: p=<0.005
Surgeons are significantly less likely to recognize postoperative myocardial infarction symptoms and initiate cardiac diagnostics in female patients compared to male patients.
May suggest gender bias in postoperative MI recognition; hypothesis-generating and requires prospective validation before practice implications.
Background: Cardiovascular disease remains the leading cause of death in women. Gender bias and blindness are coming into focus as relevant risk factors for patients. To date, there have been no studies that target surgeons’ potential gender bias in recognizing postoperative myocardial infarction (MI). Methods: An online clinical vignette describing a patient with postoperative MI was randomized for gender. Possible diagnoses, the next steps in management, and questions on gender bias were assessed. Results: A total of 205 surveys were analyzed. MI was recognized in 55.6% of the male case studies vs. 32.0% of the female case studies in the first question (p < 0.005). Cardiac diagnostics were initiated significantly more in male case studies (94% vs. 76%, p = 0.001). Female surgeons listed MI as the first diagnosis twice as often as male surgeons overall (43% vs. 23%, p = 0.027). Female surgeons were also more likely to mention MI across the survey at all compared to male surgeons (89% vs. 67%, p = 0.0002). Board-certified surgeons diagnosed MI by the end of the survey significantly more (88.2%) than residents (75.0%) and medical students (75.0%, p = 0.047). Conclusions: Overall, this study was able to demonstrate the presence of both gender bias and gender blindness in surgeons’ assessment of postoperative myocardial infarction symptoms with a clear disadvantage for female patients and a superior awareness for female surgeons.
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Guethoff et al. (2024) conducted a cross-sectional in Surgeons' recognition of postoperative myocardial infarction (n=205). Female patient case study vs. Male patient case study was evaluated on Recognition of myocardial infarction in the first question (p=<0.005). The female patient case study resulted in significantly lower recognition of postoperative myocardial infarction in the first question compared to the male patient case study (32.0% vs. 55.6%, p<0.005).
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