Asunto(s)
Índice de Masa Corporal , Colesterol/sangre , Programas de Detección Diagnóstica , Dislipidemias/diagnóstico , Adhesión a Directriz , Obesidad Infantil/diagnóstico , Guías de Práctica Clínica como Asunto , Pautas de la Práctica en Medicina , Factores de Edad , Biomarcadores/sangre , Niño , Dislipidemias/sangre , Dislipidemias/epidemiología , Femenino , Humanos , Masculino , Obesidad Infantil/epidemiología , Obesidad Infantil/fisiopatología , Valor Predictivo de las Pruebas , Pronóstico , Estudios Retrospectivos , Medición de Riesgo , Factores de Riesgo , Estados Unidos/epidemiologíaRESUMEN
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.