How Does Gender Bias Affect Referrals to Female Surgeons

How Does Gender Bias Affect Referrals to Female Surgeons

This study by Sarsons et al (2017), dives into the subtle but impactful ways gender bias plays out in the medical field, specifically focusing on how general practitioners (GPs) refer patients to surgeons after different surgical outcomes. The key question explored here is whether GPs interpret patient results differently based on the gender of the surgeon—and the findings show that they do, in pretty striking ways.

The research found that GPs tend to react more negatively toward female surgeons than male surgeons after a bad outcome. If a female surgeon’s patient has a bad outcome, referrals to her drop significantly more than they would for a male surgeon in the same situation. On the flip side, when a male surgeon has a great outcome, GPs reward him with more referrals than they do female surgeons who perform just as well. Essentially, women face harsher consequences for mistakes and get less credit for their successes.

Another interesting aspect is the “spillover effect.” If a GP has a bad experience with one female surgeon, they become less likely to refer patients to other female surgeons in the same specialty. This doesn’t happen with male surgeons. It’s as if one bad experience with a woman leads the GPs to question the abilities of all women in that field, but men are judged as individuals.

This kind of bias has serious career implications for female surgeons. Fewer referrals mean fewer opportunities to build skills, gain experience, and ultimately, make a name for themselves. It also impacts their earnings since their income depends largely on the volume of referrals they get. Over time, this could explain part of why women tend to have slower career progression and face a persistent gender pay gap, even in high-skilled fields like medicine.

The study suggests that these biases are likely a form of attribution bias, where GPs might unconsciously believe women are less capable surgeons than men. So, when things go wrong, it confirms their bias, but when things go right, they may just chalk it up to luck or external factors rather than skill. This contrasts with a more rational, Bayesian way of thinking, where GPs would adjust their beliefs based solely on outcomes, without gender playing a role.

Ultimately, while the study is focused on the medical field, the implications stretch much further. The findings shine a light on how gender biases can creep into any profession, especially in industries where women are underrepresented. It highlights how women often have to work harder and prove themselves more just to reach the same level as men, a pattern that likely plays a big part in the ongoing gender gaps in leadership, pay, and promotions across many fields.

References

Sarsons, H., Akhtari, M., Barron, K., Becker, A., Borusyak, K., Chandra, A., … Laird, J. (2017). Interpreting Signals in the Labor Market: Evidence from Medical Referrals. Retrieved from https://scholar.harvard.edu/files/sarsons/files/sarsons_jmp_01.pdf