Online Program

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Wednesday, January 10
Wed, Jan 10, 5:30 PM - 7:00 PM
Crystal Ballroom CD & Prefunction
Welcome Reception & Poster Session I

Imputation of Race and Ethnicity in Health Insurance Claims (303995)

Robert Aseltine, UCONN Health 
*Ofer Harel, University of Connecticut 
Yishu Xue, University of Connecticut 

Keywords: Imputations, missing data, race, health insurance claims, health disparities

The State of Connecticut is populating an All Payers Claims Database (APCD) which will hold all healthcare claims data for residents of Connecticut. The APCD will be a valuable resource for the study of healthcare delivery, costs and outcomes. It is also a potential resource for the study of health disparities in Connecticut. However, since very few healthcare claims records include the race and ethnicity of the beneficiary (approximately 3%), their use for the study of health disparities is very limited. The imputation of race and ethnicity in these claims data would greatly increase the value of the data held in the APCD and may lead to better healthcare outcomes for CT residents. Currently no model exists to impute race and ethnicity in CT healthcare claims. This project aims to use previously existing CT birth records data held by the Department of Public Health (DPH) to produce an imputation model that can be used to impute race and ethnicity in CT healthcare claims, thereby greatly increasing the utility of the data in the CT APCD.