More Accurate Racial and Ethnic Codes for Medicare Administrative Data.
Analyses of health care disparities in Medicare using administrative race and ethnicity data have typically been limited to Black and White beneficiaries. This is in part due to the small size of the other categories, inaccuracies in the race and ethnicity codes, and caveats that more extensive anal...
| Publicado en: | Health Care Financing Review Vol. 29; no. 3; pp. 27 - 43 |
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| Autores principales: | , |
| Formato: | Artículo |
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HCFA ORDS Publications
Spring 2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=510793602&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510793602 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 01958631 HCF jtl: Health Care Financing Review issn: 01958631 maglogo: N pubinfo: dt: Spring 2008 vid: 29 iid: 3 pid: 187 pub: HCFA ORDS Publications artinfo: ui: 510793602 ppf: 27 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 4.5MB tig: atl: More Accurate Racial and Ethnic Codes for Medicare Administrative Data. aug: au: Eicheldinger, Celia Bonito, Arthur su: Medicare Race identity Ethnicity sug: subj: Medicare Race identity Ethnicity ab: Analyses of health care disparities in Medicare using administrative race and ethnicity data have typically been limited to Black and White beneficiaries. This is in part due to the small size of the other categories, inaccuracies in the race and ethnicity codes, and caveats that more extensive analyses would produce biased results. While previous Medicare efforts certainly improved the accuracy of race and ethnicity coding, we have developed an imputation algorithm that dramatically improves the accuracy of coding for Hispanic and Asian or Pacific Islander beneficiaries. When compared with self-reported race and ethnicity, sensitivity increased from 29.5 to 76.6 percent for Hispanic and from 54.7 to 79.2 percent for Asian and Pacific Islander beneficiaries, with no loss of specificity, and Kappa coefficients reaching 0.80. As a result, 2,245,792 beneficiaries were recoded to Hispanic and 336,363 to Asian or Pacific Islander. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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