Considerations of sex as a binary variable in clinical algorithms

Dinushika Mohottige; Samira Farouk; Tonia Poteat; Asa Radix; Selma Feldman Witchel

doi:10.1038/s41581-024-00840-2

Considerations of sex as a binary variable in clinical algorithms

Dinushika Mohottige
, Samira Farouk
, Tonia Poteat
, Asa Radix
, Selma Feldman Witchel

Research output: Contribution to journal › Comment/debate

7 Scopus citations

Abstract

Clinical algorithms that are used to guide medical decision-making often include sex as a variable. However, binary considerations of sex and/or gender might introduce bias due to potentially inaccurate assumptions about sex and gender-specific physiology, hormones and exposures. An equity-focused approach to sex and gender is essential when using clinical algorithms to ensure health equity across populations.

Original language	English
Pages (from-to)	347-348
Number of pages	2
Journal	Nature Reviews Nephrology
Volume	20
Issue number	6
DOIs	https://doi.org/10.1038/s41581-024-00840-2
State	Published - Jun 2024

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10.1038/s41581-024-00840-2

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title = "Considerations of sex as a binary variable in clinical algorithms",

abstract = "Clinical algorithms that are used to guide medical decision-making often include sex as a variable. However, binary considerations of sex and/or gender might introduce bias due to potentially inaccurate assumptions about sex and gender-specific physiology, hormones and exposures. An equity-focused approach to sex and gender is essential when using clinical algorithms to ensure health equity across populations.",

author = "Dinushika Mohottige and Samira Farouk and Tonia Poteat and Asa Radix and Witchel, \{Selma Feldman\}",

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AU - Radix, Asa

AU - Witchel, Selma Feldman

N1 - Publisher Copyright: © Springer Nature Limited 2024.

PY - 2024/6

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N2 - Clinical algorithms that are used to guide medical decision-making often include sex as a variable. However, binary considerations of sex and/or gender might introduce bias due to potentially inaccurate assumptions about sex and gender-specific physiology, hormones and exposures. An equity-focused approach to sex and gender is essential when using clinical algorithms to ensure health equity across populations.

AB - Clinical algorithms that are used to guide medical decision-making often include sex as a variable. However, binary considerations of sex and/or gender might introduce bias due to potentially inaccurate assumptions about sex and gender-specific physiology, hormones and exposures. An equity-focused approach to sex and gender is essential when using clinical algorithms to ensure health equity across populations.

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DO - 10.1038/s41581-024-00840-2

M3 - Comment/debate

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JO - Nature Reviews Nephrology

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Considerations of sex as a binary variable in clinical algorithms

Abstract

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