Racial and Ethnic Disparities in Research and Clinical Trials.

Clinical trials Dermatology Diversity Ethnic skin Health disparities Health equity Research Skin of color

Journal

Dermatologic clinics
ISSN: 1558-0520
Titre abrégé: Dermatol Clin
Pays: United States
ID NLM: 8300886

Informations de publication

Date de publication:
Apr 2023
Historique:
entrez: 18 3 2023
pubmed: 19 3 2023
medline: 22 3 2023
Statut: ppublish

Résumé

Clinical trials are an essential component of research for determining the safety and efficacy of treatments for medical diseases. In order for the results of clinical trials to be generalizable to diverse populations, they must include participants at ratios that are reflective of national and global populations. A significant number of dermatology studies not only lack racial/ethnic diversity but also fail to report data on minority recruitment and enrollment. Reasons for this are multifold and are discussed in this review. Although steps have been implemented to improve this issue, greater efforts are needed for sustained and meaningful change.

Identifiants

pubmed: 36933925
pii: S0733-8635(22)00100-0
doi: 10.1016/j.det.2022.10.007
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

351-358

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of interest Dr N. Elbuluk is the director of the USC Dermatology Diversity and Inclusion Program as well as the Director of the Skin of Color and Pigmentary Disorders Program at the USC Department of Dermatology, Keck School of Medicine.

Auteurs

Nicole C Syder (NC)

Department of Dermatology, Keck School of Medicine, University of Southern California, 830 South Flower Street, Ste 100, Los Angeles, CA 90017, USA.

Nada Elbuluk (N)

Department of Dermatology, Keck School of Medicine, University of Southern California, 830 South Flower Street, Ste 100, Los Angeles, CA 90017, USA. Electronic address: nada.elbuluk@med.usc.edu.

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Classifications MeSH