Imputing Missing Race/Ethnicity in Pediatric Electronic Health Records: Reducing Bias with Use of U.S. Census Location and Surname Data.
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.
Palavras-chave
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