Trial reportJournal of general internal medicine2015
Accuracy of race, ethnicity, and language preference in an electronic health record.
Trial report in Journal of general internal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
159 citing papers in PubMed, 6 syntheses or guidelines pooled it, 235 citations in OpenAlex.
- Association between language discordance and unplanned hospital readmissions or emergency department revisits: a systematic review and meta-analysis.BMJ quality & safety · 2024Pooled it
- Improving Clinical Documentation with Artificial Intelligence: A Systematic Review.Perspectives in health information management · 2024Pooled it
- Systematic review: Individual-level factors and social determinants of health impacting sleep health in individuals with inflammatory bowel disease.Journal of advanced nursing · 2023Pooled it
- Limited English Proficiency and Clinical Outcomes After Hospital-Based Care in English-Speaking Countries: a Systematic Review.Journal of general internal medicine · 2022Pooled it
- The quality of social determinants data in the electronic health record: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Does the association between early life growth and later obesity differ by race/ethnicity or socioeconomic status? A systematic review.Annals of epidemiology · 2017Pooled it
- Sustained improvement in caregiver-reported infant demographic collection: a pilot towards equitable outcomes in the neonatal intensive care unit.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
- Racial disparities in multiple sclerosis quality of care metrics.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Article
- Accuracy and Equity of the End-of-Life Care Index in Predicting 1-Year Mortality.JAMA network open · 2026Article
- Race and Ethnicity Data in the Electronic Health Records: New Insights Through Comparison with American Community Survey Microdata.Journal of racial and ethnic health disparities · 2026Article
- Rebooting immunity in congenital athymia: Factors impacting reconstitution with thymus implantation.Journal of human immunity · 2026Article
- Longitudinal effects of inpatient music therapy dosage on pain intensity and opioid utilization among patients with hematologic or oncologic conditions: a retrospective cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Knowledge Architecture for Race and Ethnic Group Defining in Learning Health Systems.Learning health systems · 2026Article
- Patient Perspectives on Identifiers for Immigrant Patients in Electronic Health Records.Journal of immigrant and minority health · 2026Article
- Evaluating the impact of discordant and missing demographic information on population health assessments using linked electronic health records and Census Bureau microdata.PLOS digital health · 2026Article
- Development and validation of risk models for hospital-acquired bleeding in medical inpatients: the Medical Inpatients Thrombosis and Hemostasis (MITH) study.Journal of thrombosis and haemostasis : JTH · 2026Article
- Racial and socioeconomic disparities in genetic evaluation and testing in the adult patient population.American journal of human genetics · 2026Article
- Improving Accurate Documentation of Limited English Proficiency Patients at a Tertiary Affiliated Urgent Care Center in New York City.Journal of patient experience · 2026Article
- Extracting language information from clinical notes using large language models.International journal of medical informatics · 2026Article
- Characterizing Identifiers for Immigrant Populations in Electronic Health Records.Journal of immigrant and minority health · 2025Article
99 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundCollection 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.
objectiveOur 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
resultsPatients 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.
conclusionWe demonstrate important inaccuracies and the need for better processes to document race/ ethnicity and language preference in EHRs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.