ArticleMedical care research and review : MCRR2021
Beyond Black and White: Mapping Misclassification of Medicare Beneficiaries Race and Ethnicity.
Article in Medical care research and review : MCRR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis 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
29 citing papers in PubMed, 1 synthesis or guideline pooled 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
- Outcomes for American Indian and Alaska Native Populations With Cancer in Traditional Medicare.JAMA network open · 2026Observational
- The dilemma of using racial and ethnic categories in biomedical research.BMC medical research methodology · 2026Article
- Days at Home Among Dually Eligible Medicare Beneficiaries With Alzheimer Disease and Related Dementias.JAMA network open · 2026Article
- Statistical Accuracy of Administratively Recorded Race/Ethnicity in the Military Health System and Race/Ethnicity Ascertained via Questionnaire.Journal of racial and ethnic health disparities · 2026Article
- Segregation in hospital care for Medicare beneficiaries by race and ethnicity and dual-eligible status from 2013 to 2021.Health services research · 2025Article
- Opioid Cap Laws and Opioid Prescriptions After Total Joint Replacements in Older Adults.JAMA network open · 2025Article
- Disparities in Misclassification of Race and Ethnicity in Electronic Medical Records Among Patients with Traumatic Injury.Journal of racial and ethnic health disparities · 2024Article
- Native Hawaiian and Pacific Islander populations in genomic research.NPJ genomic medicine · 2024Review
- American Black Authorship Has Decreased Across All Clinical Specialties Despite an Increasing Number of Black Physicians Between 1990 and 2020 in the USA.Journal of racial and ethnic health disparities · 2024Review
- Misracialization of Indigenous people in population health and mortality studies: a scoping review to establish promising practices.Epidemiologic reviews · 2023Article
- Approaches to developing de novo cancer population models to examine questions about cancer and race in bladder, gastric, and endometrial cancer and multiple myeloma: the Cancer Intervention and Surveillance Modeling Network incubator program.Journal of the National Cancer Institute. Monographs · 2023Article
- Cardiovascular Outcomes of α-Blockers vs 5-α Reductase Inhibitors for Benign Prostatic Hyperplasia.JAMA network open · 2023Article
- Assessing the validity of race and ethnicity coding in administrative Medicare data for reporting outcomes among Medicare advantage beneficiaries from 2015 to 2017.Health services research · 2023Article
- Associations of Postdischarge Follow-Up With Acute Care and Mortality in Lupus: A Medicare Cohort Study.Arthritis care & research · 2023Observational
- Race and Ethnicity Misclassification in Hospital Discharge Data and the Impact on Differences in Severe Maternal Morbidity Rates in Florida.International journal of environmental research and public health · 2023Article
- Short Report: Race and Ethnicity Misclassification in Kidney Transplantation Research.Transplantation direct · 2022Article
- Issues With Variability in Electronic Health Record Data About Race and Ethnicity: Descriptive Analysis of the National COVID Cohort Collaborative Data Enclave.JMIR medical informatics · 2022Article
- Racial Disparities in Adherence to Annual Lung Cancer Screening and Recommended Follow-Up Care: A Multicenter Cohort Study.Annals of the American Thoracic Society · 2022Article
- Use of hospitals in the New York City Metropolitan Region, by race: how separate? How equal in resources and quality?BMC health services research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The Centers for Medicare and Medicaid Services administrative data contains two variables that are used for research and evaluation of health disparities: the enrollment database (EDB) beneficiary race code and the Research Triangle Institute (RTI) race code. The objective of this article is to examine state-level variation in racial/ethnic misclassification of EDB and RTI race codes compared with self-reported data collected during home health care. The study population included 4,231,370 Medicare beneficiaries who utilized home health care services in 2015. We found substantial variation between states in Medicare administrative data misclassification of self-identified Hispanic, Asian American/Pacific Islander, and American Indian/Alaska Native beneficiaries. Caution should be used when interpreting state-level health care disparities and minority health outcomes based on existing race variables contained in Medicare data sets. Self-reported race/ethnicity data collected during routine care of Medicare beneficiaries may be used to improve the accuracy of minority health and health disparities reporting and research.
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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.