Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Grundmeier RW

PROVIDER: S-EPMC4545341 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Grundmeier Robert W RW Song Lihai L Ramos Mark J MJ Fiks Alexander G AG Elliott Marc N MN Fremont Allen A Pace Wilson W Wasserman Richard C RC Localio Russell R

Health services research 20150311 4

<h4>Objective</h4>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.<h4>Data sources/study setting</h4>Electronic health record data from 30 pediatric practices with known race/ethnicity.<h4>Study design</h4>In a simulation experiment, we constructed dichotomous and continuous outcomes with pre-specified associations with known race/ethnicity. Bias was int ...[more]

PMID: 25759144

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Dataset Information

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

Objective

Data sources/study setting

Study design

Principal findings

Conclusions

Publications

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

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