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Cited by 259

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

Race, Ethnicity, and Pain Treatment: Striving to Understand the Causes and Solutions to the Disparities in Pain Treatment

Bonham, Vence L.·2001·Journal of Law, Medicine & Ethics

Abstract

would like for them to know that I am in pain or this part of my body hurts or the other part hurts — that I am not lying about it. To examine me and to cut down on the pain….And help me out. Patient with Sickle Cell Disease, Focus Group Participant Pain in the United States is widely recognized to be undertreated; however, the capacity to treat pain has never been greater. The causes of this undertreatment are varied. As we focus on pain and why it is too often ineffectively treated, we also discover that this undertreatment afflicts some more than others. What divides the some from the others isn't limited to one factor, but one particularly disturbing factor is race and ethnicity. Racial and ethnic minority populations are at higher risk for oligoanalgesia, or the ineffective treatment of pain. Only through further study of the differences in pain treatment based on race and ethnicity can we develop strategies to reduce the disparities in care.

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Metadata

Authors
Bonham, V. L.
Venue
Journal of Law, Medicine & Ethics
Published
2001
Volume
29
Issue
1
Pages
52-68
ISSN
  • 1073-1105 (ISSN-L)
  • 1748-720X
OpenAlex
W2061984744
Cited by
259
References
51
FWCI
42.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Race, Ethnicity, and Pain Treatment: Striving to Understand the Causes and Solutions to the Disparities in Pain Treatment. https://app.cochat.ai/papers/10.1111/j.1748-720x.2001.tb00039.x
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Bonham, V. L. (2001). Race, Ethnicity, and Pain Treatment: Striving to Understand the Causes and Solutions to the Disparities in Pain Treatment. Journal of Law, Medicine & Ethics. https://doi.org/10.1111/j.1748-720x.2001.tb00039.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.