Race and Ethnicity: A Part of the Equation for Personalized Clinical Decision Making?
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Much of the reluctance to use race in prediction models stems from overgeneralization of its potentially objectionable use in polar predictions in non-medical settings to its use for non-polar predictions in medical settings.
“We have previously argued that much of the reluctance to use race in prediction models stems from overgeneralization of its potentially objectionable use in polar predictions in non-medical settings to its use for non-polar predictions in medical settings29.”
From Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities (2020) · cites this paper as [29]
There is currently no consensus or guidance on how protected characteristics-race in particular-should be incorporated in clinical prediction.
“Currently, there is no consensus or guidance on how protected characteristics–race in particular– should be incorporated in clinical prediction29.”
From Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities (2020) · cites this paper as [29]
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- Authors
- Paulus, J. K., & Kent, D. M.
- Affiliations
- Tufts University (US)
- Venue
- Circulation: Cardiovascular Quality and Outcomes
- Published
- 2017-07
- Volume
- 10
- Issue
- 7
- ISSN
- 1941-7705 (ISSN-L)
- 1941-7713
- PMC
- PMC5558842
- OpenAlex
- W2731253005
- Cited by
- 35
- References
- 10
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 3 · 2023: 7 · 2022: 8 · 2021: 5 · 2020: 1 · 2018: 1
- FWCI
- 1.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Circulation Cardiovascular Quality and Outcomes (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (U01NS086294)
- Topics
- Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- race, ethnicity, cardiovascular health disparities
- MeSH terms
- Clinical Decision-Making, Cardiovascular Diseases, Decision Support Techniques, Ethnicity, Humans, Phenotype, Prognosis, Risk Factors, Risk Assessment, Patient Selection, Genetic Predisposition to Disease, Racial Groups, Health Status Disparities, Healthcare Disparities, Precision Medicine, Culturally Competent Care
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