Cited by 234Electronic Health Records SystemsMedical Coding and Health InformationSurvey Methodology and Nonresponse

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Accuracy of Race, Ethnicity, and Language Preference in an Electronic Health Record

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Klinger, Elissa V., Carlini, Sara V., Gonzalez, Irina, Hubert, Stella St., Linder, Jeffrey A., Rigotti, Nancy A., Kontos, Emily Z., Park, Elyse R., Marinacci, Lucas X., Haas, Jennifer S.·2015·Journal of General Internal Medicine

DOI 10.1007/s11606-014-3102-8PMC PMC4441665

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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/main measures 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).Key results 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.

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Authors: Klinger, E. V., Carlini, S. V., Gonzalez, I., Hubert, S. S., Linder, J. A., Rigotti, N. A., Kontos, E. Z., Park, E. R., Marinacci, L. X., & Haas, J. S.
Affiliations: Brigham and Women's Hospital (US)
Harvard University (US)
ORCID: Klinger, Elissa V.
Carlini, Sara V.
Gonzalez, Irina
Linder, Jeffrey A.
Rigotti, Nancy A.
Park, Elyse R.
Marinacci, Lucas X.
Haas, Jennifer S.
Venue: Journal of General Internal Medicine
Publisher: Springer Science and Business Media LLC
Published: 2014-12-20
Volume: 30
Issue: 6
Pages: 719-723
ISSN: 0884-8734 (ISSN-L)
1525-1497
DOI: 10.1007/s11606-014-3102-8
PMC: PMC4441665
OpenAlex: W2088121266
Cited by: 234
References: 18
Citations by year: 2026: 16 · 2025: 31 · 2024: 35 · 2023: 52 · 2022: 38 · 2021: 30 · 2020: 8 · 2019: 11 · 2018: 6 · 2017: 2 · 2016: 3 · 2015: 2
FWCI: 4.26
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.springer.com/tdm (tdm)
Locations: Journal of General Internal Medicine (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: Harvard University
Harvard Catalyst (TR001102)
National Institutes of Health (UL1TR001102, 1UL1TR0011-02)
National Cancer Institute (P50CA148596)
National Center for Research Resources
National Center for Advancing Translational Sciences (TR001102)
Topics: Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
Keywords: language preference, electronic health records, health disparities, meaningful use, tobacco cessation interventions, primary health centers, low-income smokers
MeSH terms: Adult, Aged, Documentation, Ethnicity, Female, Humans, Language, Male, Middle Aged, Smoking Cessation, Racial Groups, Health Status Disparities, Young Adult, Electronic Health Records, Self Report

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Accuracy of Race, Ethnicity, and Language Preference in an Electronic Health Record

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