Your browser doesn't support javascript.
loading
Imputing Missing Race/Ethnicity in Pediatric Electronic Health Records: Reducing Bias with Use of U.S. Census Location and Surname Data.
Grundmeier, Robert W; Song, Lihai; Ramos, Mark J; Fiks, Alexander G; Elliott, Marc N; Fremont, Allen; Pace, Wilson; Wasserman, Richard C; Localio, Russell.
Afiliação
  • Grundmeier RW; The Children's Hospital of Philadelphia, Philadelphia, PA.
  • Song L; The Children's Hospital of Philadelphia, Philadelphia, PA.
  • Ramos MJ; The Children's Hospital of Philadelphia, Philadelphia, PA.
  • Fiks AG; The Children's Hospital of Philadelphia, Philadelphia, PA.
  • Elliott MN; RAND Corporation, Santa Monica, CA.
  • Fremont A; RAND Corporation, Santa Monica, CA.
  • Pace W; DARTNet Institute, University of Colorado Denver, Aurora, CO.
  • Wasserman RC; University of Vermont, Burlington, VT.
  • Localio R; Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Health Serv Res ; 50(4): 946-60, 2015 Aug.
Article em En | MEDLINE | ID: mdl-25759144
OBJECTIVE: To assess the utility of imputing race/ethnicity using U.S. Census race/ethnicity, residential address, and surname information compared to standard missing data methods in a pediatric cohort. DATA SOURCES/STUDY SETTING: Electronic health record data from 30 pediatric practices with known race/ethnicity. STUDY DESIGN: In a simulation experiment, we constructed dichotomous and continuous outcomes with pre-specified associations with known race/ethnicity. Bias was introduced by nonrandomly setting race/ethnicity to missing. We compared typical methods for handling missing race/ethnicity (multiple imputation alone with clinical factors, complete case analysis, indicator variables) to multiple imputation incorporating surname and address information. PRINCIPAL FINDINGS: Imputation using U.S. Census information reduced bias for both continuous and dichotomous outcomes. CONCLUSIONS: The new method reduces bias when race/ethnicity is partially, nonrandomly missing.
Assuntos
Palavras-chave
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Etnicidade / Coleta de Dados / Censos / Grupos Raciais / Registros Eletrônicos de Saúde Aspecto: Determinantes_sociais_saude / Equity_inequality Limite: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn País/Região como assunto: America do norte Idioma: En Revista: Health Serv Res Ano de publicação: 2015 Tipo de documento: Article País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Etnicidade / Coleta de Dados / Censos / Grupos Raciais / Registros Eletrônicos de Saúde Aspecto: Determinantes_sociais_saude / Equity_inequality Limite: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn País/Região como assunto: America do norte Idioma: En Revista: Health Serv Res Ano de publicação: 2015 Tipo de documento: Article País de publicação: Estados Unidos