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Reexamining the use of race in medical algorithms: the maternal health calculator debate.
Kimani, Rachel Wangari.
Affiliation
  • Kimani RW; Laboratory of the Neurogenetics of Language, Rockefeller University, New York, NY, United States.
Front Public Health ; 12: 1417429, 2024.
Article in En | MEDLINE | ID: mdl-38939564
ABSTRACT
The concept of race is prevalent in medical, nursing, and public health literature. Clinicians often incorporate race into diagnostics, prognostic tools, and treatment guidelines. An example is the recently heavily debated use of race and ethnicity in the Vaginal Birth After Cesarean (VBAC) calculator. In this case, the critics argued that the use of race in this calculator implied that race confers immutable characteristics that affect the ability of women to give birth vaginally after a c-section. This debate is co-occurring as research continues to highlight the racial disparities in health outcomes, such as high maternal mortality among Black women compared to other racial groups in the United States. As the healthcare system contemplates the necessity of utilizing race-a social and political construct, to monitor health outcomes, it has sparked more questions about incorporating race into clinical algorithms, including pulmonary tests, kidney function tests, pharmacotherapies, and genetic testing. This paper critically examines the argument against the race-based Vaginal Birth After Cesarean (VBAC) calculator, shedding light on its implications. Moreover, it delves into the detrimental effects of normalizing race as a biological variable, which hinders progress in improving health outcomes and equity.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Maternal Health Limits: Female / Humans / Pregnancy Country/Region as subject: America do norte Language: En Journal: Front Public Health Year: 2024 Document type: Article Affiliation country: United States Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Maternal Health Limits: Female / Humans / Pregnancy Country/Region as subject: America do norte Language: En Journal: Front Public Health Year: 2024 Document type: Article Affiliation country: United States Country of publication: Switzerland