Evidence map›Paper›PMID 27631381›Full record

ArticleJournal of racial and ethnic health disparities2016

Discrepancies in Race and Ethnicity Documentation: a Potential Barrier in Identifying Racial and Ethnic Disparities.

M Magaña López, M Bevans, L Wehrlen, L Yang, G R Wallen

Open access · hybridAbstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 6 pooled it
6.2field-weighted citation impact, top 4% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 6 syntheses or guidelines pooled it, 99 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Racial and Ethnic Disparities in Survival Among Patients With Hepatocellular Carcinoma in the United States: A Systematic Review and Meta-Analysis.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022
    Pooled it
  5. The quality of social determinants data in the electronic health record: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021
    Pooled it
  6. Residential Segregation and Racial Cancer Disparities: A Systematic Review.Journal of racial and ethnic health disparities · 2017
    Pooled it
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  17. How to optimize and evaluate diversity in gynecologic cancer clinical trials: statements from the GCIG Barcelona Meeting.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2024
    Article
  18. Article
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  20. Agreement of electronic health record-documented race and ethnicity with parental report.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

M Magaña LópezNational Institutes of Health (NIH), Clinical Center, 10 Center Drive, Room 2B01, Bethesda, MD, 20892, USA.
M BevansNational Institutes of Health (NIH), Clinical Center, 10 Center Drive, Room 2B01, Bethesda, MD, 20892, USA.
L WehrlenNational Institutes of Health (NIH), Clinical Center, 10 Center Drive, Room 2B01, Bethesda, MD, 20892, USA.
L YangNational Institutes of Health (NIH), Clinical Center, 10 Center Drive, Room 2B01, Bethesda, MD, 20892, USA.
G R WallenNational Institutes of Health (NIH), Clinical Center, 10 Center Drive, Room 2B01, Bethesda, MD, 20892, USA. gwallen@cc.nih.gov.
National Institutes of Health Clinical Center · US

Funding

Health Beliefs and Health Behavior Practices Among Minorities with Rheumatic DiseZIACL001141 · CLC · CLINICAL CENTER · PI WALLEN, GWENYTH R · 2009 to 2017
$0k
Intramural NIH HHS ZIA CL001141
6 · The paper itself

Abstract

backgroundData collection on race and ethnicity is critical in the assessment of racial disparities related to health. Studies comparing clinical and administrative data show discrepancies in race documentation and attribution.

methodsSelf-reported data from two studies were compared to demographics in the electronic health record (EHR) extracted from the Biomedical Translational Research Information System (BTRIS) repository. McNemar and Bhapkar analyses were conducted to quantify the agreement of ethnicity and race between self-reported and EHR data. Pearson's chi-square tests were used to explore the relationship between acculturation, length of time in the USA, country of residence, and how individuals self-reported their race.

resultsThe sample (n = 280) was predominantly female (52.1 %), with a mean age of 47 (SD ± 13.74), mean years in the USA were 12.8 (SD ± 11.67) and the majority were born outside of the USA. (55.6 %). Those who self-identified as Hispanic (n = 208) scored a mean of 5.5 (SD ± 3.07) on the short acculturation scale (SAS) that ranges 4 to 20; lower scores indicate less acculturation. A significant difference was found between the way race is reported in the electronic medical record and self-reported data among those people who identified as Hispanic, with significant differences in the white (p < 0.0001) and other (p < 0.0001) categories.

conclusionsThe misclassification of race is most frequent in those individuals who self-identified as Hispanic. As the Hispanic population in the USA continues to grow, understanding the factors that affect the way that individuals from this heterogeneous population self-report race may provide important guidance in tailoring care to address health disparities.

Indexed as

Demographic collectionEthnicityHealth disparitiesRace

Identifiers

PMID27631381
PMCPMC5342943
OpenAlexW2509529148

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.