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Shawn Foster

Biographic Data

ID6060744
NAMEShawn Foster
GIVEN NAMESShawn
FAMILY NAMEFoster
SIGNATUREFOSTER S
AFFILIATIONSDavid W. Baker, Kenzie A. Cameron, Joseph Feinglass, Jason Thompson, and Patricia Georgas are with the Division of General Internal Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ill. D.W. Baker is also with the Institute for Healthcare Studies, Feinberg School of Medicine. Shawn Foster, Deborah Pierce, and Romana Hasnain-Wynia are with the Health Research and Educational Trust, Chicago.
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS7
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2006
LATEST PUBLICATION YEAR2006
H-INDEX1
  • A System for Rapidly and Accurately Collecting Patients’ Race and Ethnicity

    David W Baker, Kenzie A Cameron et al.•ARTICLE•American Journal of Public Health•2006•Cited by: 7•References: 18

    Objectives. We assessed the feasibility of collecting race/ethnicity data from patients using their own preferred racial/ethnic terms. Methods. The 424 patients described their race/ethnicity using their own categories, and we compared their descriptions with their responses to the questions (1) “Do you consider yourself Latino or Hispanic?” and (2) “Which category best describes your race?” (7 response options in our computer interview). We also…

  • A System for Rapidly and Accurately Collecting Patients’ Race and Ethnicity

    David W Baker, Kenzie A Cameron et al.•ARTICLE•American Journal of Public Health•2006•Cited by: 7•References: 18

    Objectives. We assessed the feasibility of collecting race/ethnicity data from patients using their own preferred racial/ethnic terms. Methods. The 424 patients described their race/ethnicity using their own categories, and we compared their descriptions with their responses to the questions (1) “Do you consider yourself Latino or Hispanic?” and (2) “Which category best describes your race?” (7 response options in our computer interview). We also…

  • A System for Rapidly and Accurately Collecting Patients’ Race and Ethnicity

    David W Baker, Kenzie A Cameron et al.•ARTICLE•American Journal of Public Health•2006•Cited by: 7•References: 18

    Objectives. We assessed the feasibility of collecting race/ethnicity data from patients using their own preferred racial/ethnic terms. Methods. The 424 patients described their race/ethnicity using their own categories, and we compared their descriptions with their responses to the questions (1) “Do you consider yourself Latino or Hispanic?” and (2) “Which category best describes your race?” (7 response options in our computer interview). We also…

Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Categorization (1 work) · Computer Science (1 work) · Cultural Competency in Health Care (1 work) · Demography (1 work) · Ethnic group (1 work) · Gender Studies (1 work) · Gerontology (1 work) · Gerontology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae