Cited by 16Non-Invasive Vital Sign MonitoringStatistical Methods in EpidemiologyRace, Genetics, and Society

Racial bias in pulse oximetry: More statistical detail may help tackle the problem

Philip, Keir E J, Tidswell, Robert, McFadyen, Charles·2021·BMJ

Abstract

We were glad to see a news article1 highlighting research by Sjoding and colleagues2 which identifies a racial bias in pulse oximetry, with hypoxaemia identified less frequently in black people compared with white. The research is valuable, identifying an important matter; however, further details would aid clinical application of the findings. Useful, additional, commonly used metrics absent from the paper include bias, precision, limits of agreement, and accuracy value. A …

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Crossref · 10.1136/bmj.n298

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Authors
Philip, K. E. J., Tidswell, R., & McFadyen, C.
Affiliations
  • Imperial College London (GB)
  • University College London (GB)
Venue
BMJ
Publisher
BMJ
Published
2021-02-02
Volume
372
Pages
n298
ISSN
1756-1833 (ISSN-L)
OpenAlex
W3128610225
Cited by
16
References
3
Citations by year
2026: 1 · 2025: 1 · 2024: 4 · 2023: 6 · 2022: 2 · 2021: 2
Type
journal article
Language
en
Open access
closed
Locations
  • BMJ (publishedVersion)
  • PubMed (publishedVersion)
  • Spiral (Imperial College London) (submittedVersion)
Funders
  • National Institute for Health and Care Research (ACF-2019-18-007)
  • Medical Research Council (MR/S006737/1)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
Keywords
pulse oximetry, racial bias, hypoxemia, Black patients, measurement accuracy, limits of agreement, bias and precision
MeSH terms
Race Factors, Biometry, Humans, Oximetry

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