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Developing an Algorithm for Combining Race and Ethnicity Data Sources in the Veterans Health Administration.
Hernandez, Susan E; Sylling, Philip W; Mor, Maria K; Fine, Michael J; Nelson, Karin M; Wong, Edwin S; Liu, Chuan-Fen; Batten, Adam J; Fihn, Stephan D; Hebert, Paul L.
Afiliação
  • Hernandez SE; Department of Health Services, School of Public Health, University of Washington, 1959 NE Pacific St, Magnuson Health Sciences Center, Room H-680, Box 357660, Seattle, WA 98195-7660.
  • Sylling PW; Assessment, Policy Development & Evaluation Unit, Public Health-Seattle & King County, 401 5th Ave, Suite #1300, Seattle, WA 98104.
  • Mor MK; King County Department of Community and Human Services, Performance Measurement and Evaluation, 401 5th Ave, Suite #500, Seattle, WA 98104.
  • Fine MJ; VA Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System University Drive (151C), Pittsburgh, PA 15240.
  • Nelson KM; Biostatistics, Informatics, and Computing Core (BICC), Pittsburgh CHERP, VA Pittsburgh Healthcare System, University Drive (151C), Pittsburgh, PA 15240.
  • Wong ES; Pitt Public Health, University of Pittsburgh, 130 De Soto Street, Pittsburgh, PA 15261.
  • Liu CF; VA Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Healthcare System University Drive (151C), Pittsburgh, PA 15240.
  • Batten AJ; Center for Research on Health Care, School of Medicine, University of Pittsburgh, Pittsburgh, PA.
  • Fihn SD; School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213.
  • Hebert PL; PACT Demonstration Laboratory Initiative, VA Puget Sound Health Care System, 1660 S. Columbian Way, Seattle, WA 98108.
Mil Med ; 185(3-4): e495-e500, 2020 03 02.
Article em En | MEDLINE | ID: mdl-31603222

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Veteranos / Algoritmos / Etnicidade Tipo de estudo: Prognostic_studies Limite: Aged / Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Veteranos / Algoritmos / Etnicidade Tipo de estudo: Prognostic_studies Limite: Aged / Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2020 Tipo de documento: Article