ArticleJournal of medical Internet research2020
Information Loss in Harmonizing Granular Race and Ethnicity Data: Descriptive Study of Standards.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed.
- Nonrandom Missingness in Child Race and Ethnicity Records and the US Federal Data Standards: Pooled Analysis of Community-Based Child Health Studies.JMIR public health and surveillance · 2025Article
- Discrepancies in Aggregate Patient Data between Two Sources with Data Originating from the Same Electronic Health Record: A Case Study.Applied clinical informatics · 2025Article
- Contextualized race and ethnicity annotations for clinical text from MIMIC-III.Scientific data · 2024Article
- Changes in the Demographic Distribution of Chicago Gun-Homicide Decedents From 2015-2021: Violent Death Surveillance Cross-sectional Study.JMIR public health and surveillance · 2023Article
- Analyzing Patient-Provided Responses to Improve Collection of Health Equity Data Elements.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- DEIA is essential to advance the goals of translational science: Perspectives from NCATS.Journal of clinical and translational science · 2023Article
- A Scoping Review of Approaches to Improving Quality of Data Relating to Health Inequalities.International journal of environmental research and public health · 2022Article
- Surveillance for Coccidioidomycosis, Histoplasmosis, and Blastomycosis - United States, 2019.Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundData standards for race and ethnicity have significant implications for health equity research.
objectiveWe aim to describe a challenge encountered when working with a multiple-race and ethnicity assessment in the Eastern Caribbean Health Outcomes Research Network (ECHORN), a research collaborative of Barbados, Puerto Rico, Trinidad and Tobago, and the US Virgin Islands.
methodsWe examined the data standards guiding harmonization of race and ethnicity data for multiracial and multiethnic populations, using the Office of Management and Budget (OMB) Statistical Policy Directive No. 15.
resultsOf 1211 participants in the ECHORN cohort study, 901 (74.40%) selected 1 racial category. Of those that selected 1 category, 13.0% (117/901) selected Caribbean; 6.4% (58/901), Puerto Rican or Boricua; and 13.5% (122/901), the mixed or multiracial category. A total of 17.84% (216/1211) of participants selected 2 or more categories, with 15.19% (184/1211) selecting 2 categories and 2.64% (32/1211) selecting 3 or more categories. With aggregation of ECHORN data into OMB categories, 27.91% (338/1211) of the participants can be placed in the "more than one race" category.
conclusionsThis analysis exposes the fundamental informatics challenges that current race and ethnicity data standards present to meaningful collection, organization, and dissemination of granular data about subgroup populations in diverse and marginalized communities. Current standards should reflect the science of measuring race and ethnicity and the need for multidisciplinary teams to improve evolving standards throughout the data life cycle.
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Registered trials
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