Discrepancies in Race and Ethnicity in the Electronic Health Record Compared to Self-report

被引:27
|
作者
Samalik, Joann M. [1 ]
Goldberg, Caren S. [2 ]
Modi, Zubin J. [3 ,4 ]
Fredericks, Emily M. [3 ,5 ]
Gadepalli, Samir K. [3 ,6 ]
Eder, Sally J. [3 ]
Adler, Jeremy [1 ,3 ]
机构
[1] Univ Michigan, CS Mott Childrens Hosp, Div Pediat Gastroenterol, Michigan Med, 1500 E Med Ctr Dr, Ann Arbor, MI 48109 USA
[2] Univ Michigan, CS Mott Childrens Hosp, Div Pediat Cardiol, Michigan Med, 1500 E Med Ctr Dr, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Susan B Meister Child Hlth Evaluat & Res Ctr, Michigan Med, 2900 Plymouth Rd, Ann Arbor, MI 48109 USA
[4] Univ Michigan, CS Mott Childrens Hosp, Div Pediat Nephrol, Michigan Med, 1500 E Med Ctr Dr, Ann Arbor, MI 48109 USA
[5] Univ Michigan, CS Mott Childrens Hosp, Div Pediat Psychol, Michigan Med, 1500 E Med Ctr Dr, Ann Arbor, MI 48109 USA
[6] Univ Michigan, CS Mott Childrens Hosp, Div Pediat Surg, Michigan Med, 1500 E Med Ctr Dr, Ann Arbor, MI 48109 USA
关键词
Race; Ethnicity; Disparities; Data quality; Electronic health record; INFLAMMATORY-BOWEL-DISEASE; RACIAL DISPARITIES; PEDIATRIC-PATIENTS; CHILDREN; ACCESS; MORTALITY; OUTCOMES;
D O I
10.1007/s40615-022-01445-w
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective Racial and ethnic disparities are commonplace in health care. Research often relies on sociodemographic information recorded in the electronic health record (EHR). Little evidence is available about the accuracy of EHR-recorded sociodemographic information, and none in pediatrics. Our objective was to determine the accuracy of EHR-recorded race and ethnicity compared to self-report. Methods Patients/guardians enrolled in two prospective observational studies (10/2014-1/2019) provided self-reported sociodemographic information. Corresponding EHR information was abstracted. EHR information was compared to self-report, considered "gold standard." Agreement was evaluated with Cohen's kappa. Results A total of 503 patients (42% female, median age 12.8 years) were identified. Self-reported race (N=484) was 73% White, 16% Black or African American (AA), 4% Asian, 5% multiracial, and 2% other. Self-reported ethnicity (N=410) was 9% Hispanic/Latino, and 88% non-Hispanic/Latino. Agreement between self-reported and EHR-recorded race was substantial (kappa =0.77, 95% CI 0.72-0.83). Race was discordant among 10% (47/476). Hispanic/Latino ethnicity also had strong agreement (kappa = 0.77, 95% CI 0.65-0.89). Among those who self-reported Hispanic/Latino and reported race (N= 21), race was less accurately recorded in the EHR (kappa = 0.26, 95% CI 0-0.54). Race did not match among 43% with recorded race (9/21). Among self-reported racial and/or ethnic minorities, 13% (12/164) were misclassified in the EHR as non-Hispanic White. Conclusions We found race and ethnicity are often inaccurately recorded in the EHR for patients who self-identify as minorities, leading to under-representation of minorities in the EHR. Inaccurately recorded race and ethnicity has important implications for disparity research, and for informing health policy. Reliable processes are needed to incorporate self-reported race and ethnicity in the EHR at institutional and national levels.
引用
收藏
页码:2670 / 2675
页数:6
相关论文
共 50 条
  • [21] Effect of Ethnicity on Antipsychotic Response: Self-Report and Pca Ancestry Analysis
    Polsinelli, Gina
    Hassan, Ahmed
    Zai, Clement
    Liberman, Jeffrey
    Meltzer, Herbert
    Kennedy, James
    de Luca, Vincenzo
    BIOLOGICAL PSYCHIATRY, 2012, 71 (08) : 295S - 295S
  • [22] Educational achievement recorded on certificates of death compared with self-report
    Rosamond, WD
    Tyroler, HA
    Chambless, LE
    Folsom, AR
    Cooper, L
    Conwill, D
    EPIDEMIOLOGY, 1997, 8 (02) : 202 - 204
  • [23] Factorial Invariance of Child Self-Report Across Race/Ethnicity Groups: A Multigroup Confirmatory Factor Analysis Approach Utilizing the PedsQL™*4.0 Generic Core Scales
    Limbers, Christine A.
    Newman, Daniel A.
    Varni, James W.
    ANNALS OF EPIDEMIOLOGY, 2009, 19 (08) : 575 - 581
  • [24] Self-Rated Health and Residential Segregation: How Does Race/Ethnicity Matter?
    Gibbons, Joseph
    Yang, Tse-Chuan
    JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE, 2014, 91 (04): : 648 - 660
  • [25] Imputing Missing Race/Ethnicity in Pediatric Electronic Health Records: Reducing Bias with Use of US Census Location and Surname Data
    Grundmeier, Robert W.
    Song, Lihai
    Ramos, Mark J.
    Fiks, Alexander G.
    Elliott, Marc N.
    Fremont, Allen
    Pace, Wilson
    Wasserman, Richard C.
    Localio, Russell
    HEALTH SERVICES RESEARCH, 2015, 50 (04) : 946 - 960
  • [26] Issues With Variability in Electronic Health Record Data About Race and Ethnicity: Descriptive Analysis of the National COVID Cohort Collaborative Data Enclave
    Cook, Lily
    Espinoza, Juan
    Weiskopf, Nicole G.
    Mathews, Nisha
    Dorr, David A.
    Gonzales, Kelly L.
    Wilcox, Adam
    Madlock-Brown, Charisse
    JMIR MEDICAL INFORMATICS, 2022, 10 (09)
  • [27] Self-rated mental health and race/ethnicity in the United States: support for the epidemiological paradox
    Santos-Lozada, Alexis R.
    PEERJ, 2016, 4
  • [28] Prevalence of alcohol use disorders documented in electronic health records in primary care across intersections of race or ethnicity, sex, and socioeconomic status
    Ellis, Robert L.
    Hallgren, Kevin A.
    Williams, Emily C.
    Glass, Joseph E.
    Rhew, Isaac C.
    Oliver, Malia
    Bradley, Katharine A.
    ADDICTION SCIENCE & CLINICAL PRACTICE, 2024, 19 (01):
  • [29] Mammography self-report and mammography claims - Racial, ethnic, and socioeconomic discrepancies among elderly women
    Holt, Kathleen
    Franks, Peter
    Meldrum, Sean
    Fiscella, Kevin
    MEDICAL CARE, 2006, 44 (06) : 513 - 518
  • [30] Linking Teacher- Versus Child Self-report Discrepancies in Aggression to Demographic and Cognitive Profiles
    Baker, Erin R.
    Jensen, Cjersti J.
    EARLY CHILDHOOD EDUCATION JOURNAL, 2024, 52 (02) : 443 - 458