# @prescriptionfitnessmd on Instagram

- **Type:** Image
- **Original URL:** https://www.instagram.com/p/DJnU1jysL1A
- **Gondola URL:** https://gondola.cc/posts/63299952-prescriptionfitnessmd-instagram
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/96cf769a36.jpg
- **Posted:** 2025-05-14T00:49:42.000+00:00
- **Account Owner:** Kaitlyn McSurdy, MD | Cardiology Fellow + Marathoner (@prescriptionfitnessmd) — https://gondola.cc/prescriptionfitnessmd

## Caption

DID YOU KNOW that gender bias in LOR has actually been studied in a variety of specialties in academic medicine? women are more likely to be described by their communal characteristics and men by their accomplishments/potential to accomplish. one study even looked at the outcome of gendered language on application success, noting a higher residency match rate for men.

there are obviously many types of implicit bias, but specifically for gender bias in LOR, some tools have been developed to help neutralize language and reduce this to give everyone a fair chance. advocate for yourself and make sure your mentors know that resources like this are available!

University of Arizona has a one-pager that was introduced to me when I was applying for fellowship by one of my MALE attendings as he used this to help revise his own letters. talk about a #HeForShe! ❤️

as chief, I was introduced to the second tool, which is a gender bias calculator. this simple tool allows LOR writers to upload their letter and receive feedback on ways it can be improved from an implicit bias standpoint.

I think with the evolution of AI, there will be a lot of space to further improve this and also work on reducing other types of implicit bias!

I promised you no gatekeeping… sticking to that promise!

📚 Gender bias in reference letters for residency and academic medicine: a systematic review,” Postgraduate Medical Journal
💻 Google “University of Arizona LOR gender bias screening”
💻 http://www.tomforth.co.uk/genderbias/

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heforshe

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