학술논문
Assessing an electronic self-report method for improving quality of ethnicity and race data in the Veterans Health Administration.
Document Type
article
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Source
JAMIA Open. 6(2)
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Language
Abstract
ObjectiveEvaluate self-reported electronic screening (eScreening) in a VA Transition Care Management Program (TCM) to improve the accuracy and completeness of administrative ethnicity and race data.Materials and methodsWe compared missing, declined, and complete (neither missing nor declined) rates between (1) TCM-eScreening (ethnicity and race entered into electronic tablet directly by patient using eScreening), (2) TCM-EHR (Veteran-completed paper form plus interview, data entered by staff), and (3) Standard-EHR (multiple processes, data entered by staff). The TCM-eScreening (n = 7113) and TCM-EHR groups (n = 7113) included post-9/11 Veterans. Standard-EHR Veterans included all non-TCM Gulf War and post-9/11 Veterans at VA San Diego (n = 92 921).ResultsEthnicity: TCM-eScreening had lower rates of missingness than TCM-EHR and Standard-EHR (3.0% vs 5.3% and 8.6%, respectively, P .05) or data completeness (89.9% vs 91%, P > .05). Both had better data completeness than Standard-EHR (P