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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedGrundmeier RW, Song L, Ramos MJ
Imputing missing race/ethnicity in pediatric electronic health records: Reducing bias with use of U.S. census location and surname data.
The researchers assessed 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. In a simulation experiment, they constructed dichotomous and continuous outcomes with pre-specified associations with known race/ethnicity. They found that imputation using U.S. Census information reduced bias for both continuous and dichotomous outcomes.
AHRQ-funded; HS021645.
Citation: Grundmeier RW, Song L, Ramos MJ .
Imputing missing race/ethnicity in pediatric electronic health records: Reducing bias with use of U.S. census location and surname data.
Health Serv Res 2015 Aug;50(4):946-60. doi: 10.1111/1475-6773.12295..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Children/Adolescents, Racial and Ethnic Minorities
Bakken SN, Hill JN, Guihan M
Factors influencing consent for electronic data linkage in urban Latinos.
Within the context of patient participation in a Learning Health System, this study examined consent rates and factors associated with consent for linking survey data with electronic clinical data in a sample of 2,271 Latinos. Consent rate was 96.3%. Government insurance status and health literacy significantly influenced the odds of consent.
AHRQ-funded; HS022961.
Citation: Bakken SN, Hill JN, Guihan M .
Factors influencing consent for electronic data linkage in urban Latinos.
Stud Health Technol Inform 2015;216:984..
Keywords: Racial and Ethnic Minorities, Health Information Technology (HIT), Electronic Health Records (EHRs), Data, Racial and Ethnic Minorities