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Concordance Between Electronic Health Record-Recorded Race and Ethnicity and Patient Report in Emergency Department Patients.
Pettit, Nicholas R; Lane, Kathleen A; Gibbs, Leslie; Musey, Paul; Li, Xiaochun; Vest, Joshua R.
Afiliação
  • Pettit NR; Department of Emergency Medicine (Pettit, Gibbs, Musey), Indiana University School of Medicine, Indianapolis, IN. Electronic address: pettitnr@gmail.com.
  • Lane KA; Department of Biostatistics and Health Data Science (Lane, Li), Indiana University School of Medicine, Indianapolis, IN.
  • Gibbs L; Department of Emergency Medicine (Pettit, Gibbs, Musey), Indiana University School of Medicine, Indianapolis, IN.
  • Musey P; Department of Emergency Medicine (Pettit, Gibbs, Musey), Indiana University School of Medicine, Indianapolis, IN.
  • Li X; Department of Biostatistics and Health Data Science (Lane, Li), Indiana University School of Medicine, Indianapolis, IN; Department of Health Policy and Management (Li, Vest), Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN.
  • Vest JR; Department of Health Policy and Management (Li, Vest), Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN.
Ann Emerg Med ; 84(2): 111-117, 2024 Aug.
Article em En | MEDLINE | ID: mdl-38691067
ABSTRACT

OBJECTIVE:

We assessed the concordance of patient-reported race and ethnicity for emergency department (ED) patients compared with what was recorded in the electronic health record.

METHODS:

We conducted a single-center, prospective, observational study of 744 ED patients (English- and/or Spanish-speaking), asking them to describe their race and ethnicity. We compared the distributions of ethnicity and race between patient-reported and electronic health record data using McNemar's test. We calculated percent agreement and Cohen's kappa, with 95% confidence intervals (CI), for the concordance of patient-reported race and ethnicity with electronic health record data.

RESULTS:

Of 744 ED patients, 731 participants who completed the survey reported their ethnicity, resulting in 98.2% of electronic health records obtained ethnicities matched self-reported data (kappa = 0.95; 95% CI 0.92 to 0.98). For those who self-reported as Hispanic, only 92.3% agreement was observed between the self-reported and electronic health record values. For all patients who had race recorded, 85.4% agreement was observed (kappa = 0.75; 95% CI 0.71 to 0.79). High rates of agreement were observed for Black or African American patients (98.7%) and White patients (96.6%), with low rates for those who identified as "More than one race" (22.9%) or "Other" race (1.8%). In the subset of Hispanic patients, low rates of agreement (25.0%) were observed for race (kappa = 0.10; 95% CI 0.01 to 0.19).

CONCLUSIONS:

Documentation discordance regarding race and ethnicity exists between electronic health records and self-reported data for our ED patients, particularly for ethnically Hispanic and Latino/a patients. Future efforts should focus on ensuring that demographic information in the electronic health record is accurately collected.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Etnicidade / Grupos Raciais / Serviço Hospitalar de Emergência / Registros Eletrônicos de Saúde / Autorrelato Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Ann Emerg Med Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Etnicidade / Grupos Raciais / Serviço Hospitalar de Emergência / Registros Eletrônicos de Saúde / Autorrelato Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Ann Emerg Med Ano de publicação: 2024 Tipo de documento: Article