Cited by 48Medical Coding and Health InformationHealthcare Policy and ManagementRace, Genetics, and Society

The DOI matches its Crossref record, with a small difference in title or year.

Improving Identification of Hispanic Males in Medicare: Use of Surname Matching

Abstract

Objectives Medicare administrative and claims files maintained by the Centers for Medicare and Medicaid Services (CMS) are frequently used to examine racial and ethnic disparities in healthcare use. However, identification of Hispanic ethnicity for beneficiaries in the Medicare claims files is problematic, greatly limiting the use of these administrative data for examining race/ethnicity differences. This article reports on 2 studies assessing the effectiveness of a Hispanic surname match for improving the accuracy of race/ethnicity codes for elderly males in the Medicare data sets. Methods Study 1 used survey data to compare a Medicare race code + Spanish surname composite indicator to self-identification as Hispanic. Study 2 used Medicare administrative files and U.S. Census 2000 data to identify how well the Medicare race code alone and the Medicare race code + Spanish surname composite indicator compared with estimates obtained from census data for 16 U.S. counties dispersed across 5 states. Results Using self-identification as the gold standard, including the Spanish surname match increased accuracy for Hispanics and whites compared with the Medicare race code alone. The Spanish surname match also dramatically improved the Medicare code's estimation of elderly Hispanic and white males compared with county-level census data. Conclusions Augmenting the Medicare race code with a match to Spanish surnames yields substantial improvement in the identification of elderly Hispan…

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Crossref · 10.1097/01.mlr.0000132392.49176.5a

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  • Fourteen studies reported that Hispanic patients were more likely to be misclassified, either that information about their ethnicity was missing or they had been mistakenly grouped into the "Other" category.

    “Fourteen studies reported that Hispanic patients were more likely to be misclassified, either that information about their ethnicity was missing or they had been mistakenly grouped into the “Other” category.11,23–25,29,30,32,33,36–41”
  • Imputation was recommended not only as a solution for missing data but also to improve the accuracy of implausible data.

    “Imputation was recommended not only as a solution for missing data but also to improve the accuracy of implausible data.29,30,36,37,66,71”
  • Methods involving Spanish surname coding were investigated in several studies to increase the reliability and consistency of data from Hispanic patients.

    “Methods involving Spanish surname coding, a close relative of BISG that uses a patient’s last name to guess their ethnicity, were investigated in several studies to increase the reliability and consistency of data from Hispanic patients.29,36,37,66”

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Research works printed but not linked: 10

  1. Gornick, 1996, Effects of race and income on mortality and use of services among Medicare beneficiaries., N Engl J Med, 335, 791, 10.1056/NEJM199609123351106 · DOI
  2. Lauderdale, 1996, The expanded racial and ethnic codes in the Medicare data files: their completeness of coverage and accuracy., Am J Public Health, 86, 712, 10.2105/AJPH.86.5.712 · DOI
  3. Arday, 2000, HCFA's racial and ethnic data: current accuracy and recent improvements., Health Care Financ Rev, 21, 107
  4. Perkins, 1993, Evaluating the Passel-Word Spanish Surname List: 1990 Decennial Census Post Enumeration Survey Results. Washington, DC: Population Division, US Bureau of the Census., Population Division Working Paper, 4, 1
  5. Word, 1996, Building a Spanish Surname List for the 1990sA New Approach to an Old Problem. Washington, DC: Population Division, US Bureau of the Census., Technica Working Paper, 13, 1
  6. Howard, 1983, Survey research in New Mexico Hispanics: some methodological issues., Am J Epidemiol, 117, 27, 10.1093/oxfordjournals.aje.a113512 · DOI
  7. Hazuda, 1986, A comparison of three indicators for identifying Mexican Americans in epidemiologic research. Methodological findings from the San Antonio Heart Study., Am J Epidemiol, 123, 96, 10.1093/oxfordjournals.aje.a114228 · DOI
  8. Perez-Stable, 1995, Use of Spanish surnames to identify Latinos: comparison to self-identification., J Natl Cancer Inst Monogr, 18, 11
  9. Stewart, 1999, Comparison of methods for classifying Hispanic ethnicity in a population-based cancer registry., Am J Epidemiol, 149, 1063, 10.1093/oxfordjournals.aje.a009752 · DOI
  10. Bach, 2002, Patient demographic and socioeconomic characteristics in the SEER–Medicare database., Med Care, 40, IV, 10.1097/00005650-200208001-00003 · DOI

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Metadata

Authors
Morgan, R. O., Wei, I. I., & Virnig, B. A.
Affiliations
  • Baylor College of Medicine (US)
  • University of Minnesota (US)
Corresponding author
  • Morgan, Robert O.
  • Wei, Iris I.
Venue
Medical Care
Published
2004-08
Volume
42
Issue
8
Pages
810-816
ISSN
0025-7079 (ISSN-L)
OpenAlex
W2021992593
Cited by
48
References
0
Citations by year
2024: 1 · 2023: 3 · 2022: 1 · 2021: 2 · 2020: 1 · 2019: 5 · 2016: 1 · 2015: 2 · 2014: 1 · 2013: 3 · 2012: 3
FWCI
8.72
Type
journal article
Language
en
Open access
closed
Locations
  • Medical Care (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
  • Social Sciences › Anthropology › Race, Genetics, and Society
Keywords
Medicare claims data, racial and ethnic disparities, Spanish surnames, elderly man, self-identification, health care equity, administrative data quality
MeSH terms
Aged, Black or African American, Data Collection, Medicare, Hispanic or Latino, Humans, Male, Managed Care Programs, Middle Aged, Names, Research Design, United States, Centers for Medicare and Medicaid Services, U.S., United States Department of Veterans Affairs, Veterans, Databases, Factual, Censuses, Health Care Surveys, Black People, White People

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