Accuracy of race, ethnicity, and language preference in an electronic health record.
J Gen Intern Med
; 30(6): 719-23, 2015 Jun.
Article
en En
| MEDLINE
| ID: mdl-25527336
ABSTRACT
BACKGROUND:
Collection of data on race, ethnicity, and language preference is required as part of the "meaningful use" of electronic health records (EHRs). These data serve as a foundation for interventions to reduce health disparities.OBJECTIVE:
Our aim was to compare the accuracy of EHR-recorded data on race, ethnicity, and language preference to that reported directly by patients. DESIGN/SUBJECTS/MAINMEASURES:
Data collected as part of a tobacco cessation intervention for minority and low-income smokers across a network of 13 primary care clinics (n = 569). KEYRESULTS:
Patients were more likely to self-report Hispanic ethnicity (19.6 % vs. 16.6 %, p < 0.001) and African American race (27.0 % vs. 20.4 %, p < 0.001) than was reported in the EHR. Conversely, patients were less likely to complete the survey in Spanish than the language preference noted in the EHR suggested (5.1 % vs. 6.3 %, p < 0.001). Thirty percent of whites self-reported identification with at least one other racial or ethnic group, as did 37.0 % of Hispanics, and 41.0 % of African Americans. Over one-third of EHR-documented Spanish speakers elected to take the survey in English. One-fifth of individuals who took the survey in Spanish were recorded in the EHR as English-speaking.CONCLUSION:
We demonstrate important inaccuracies and the need for better processes to document race/ ethnicity and language preference in EHRs.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Etnicidad
/
Cese del Hábito de Fumar
/
Grupos Raciales
/
Documentación
/
Registros Electrónicos de Salud
/
Lenguaje
Tipo de estudio:
Clinical_trials
/
Prognostic_studies
Límite:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Año:
2015
Tipo del documento:
Article