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Geospatial Analysis of the Proportion of Persons Defined as Underrepresented in Medicine for Each Medical School and Their Surrounding Core-Based Statistical Area.
Quiñónez, Zoel A; Benitez-Melo, Angel; Diaz, Laura M; Lennig, Michael; Char, Danton; Smith, Charlotte.
Afiliação
  • Quiñónez ZA; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Benitez-Melo A; Graduate Division, School of Public Health, University of California, Berkeley, Berkeley, California, USA.
  • Diaz LM; Department of Biology, University of San Diego, San Diego, California, USA.
  • Lennig M; Division of Environmental Health Sciences, School of Public Health, University of California Berkeley, Berkeley, California, USA.
  • Char D; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Smith C; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California, USA.
Health Equity ; 8(1): 132-137, 2024.
Article em En | MEDLINE | ID: mdl-38435025
ABSTRACT

Background:

The current approach to increasing diversity in medical education fails to consider local community demographics when determining medical school matriculation.

Purpose:

We propose that medical schools better reflect their surrounding community, both because racially/ethnically concordant physicians have been shown to provide better care and to repair the historical and current racist impacts of these institutions that have criminalized, displaced, and excluded local Black and Brown communities. Methods and

Results:

In this study, we used geospatial analysis to determine that medical school enrollments generally fail to reflect their surrounding community, represented as their core-based statistical area, within which the individual medical schools reside.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article