Evaluating alternative risk adjusters for Medicare.
Part of a special section on dually eligible Medicare and Medicaid beneficiaries. The writers use three years of Medicare Current Beneficiary Survey to assess alternative demographic, survey, and claims-based risk adjusters for Medicare capitation payment. They contend that the survey health-statu...
| Publicado en: | Health Care Financing Review Vol. 20; no. 2; pp. 109 - 130 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
HCFA ORDS Publications
Winter 1998
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| Materias: | |
| 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=511092835&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 511092835 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: Winter 1998 vid: 20 iid: 2 pid: 187 pub: HCFA ORDS Publications artinfo: ui: 511092835 ppf: 109 ppct: 21 formats: fmt: @attributes: type: T tig: atl: Evaluating alternative risk adjusters for Medicare. aug: au: Pope, Gregory C. Adamache, Killard W. Walsh, Edith G. su: Medicare Medical care Risk assessment Medical care financing sug: subj: Medicare Medical care Risk assessment Medical care financing keyword: Risk adjustment (Medical care) ab: Part of a special section on dually eligible Medicare and Medicaid beneficiaries. The writers use three years of Medicare Current Beneficiary Survey to assess alternative demographic, survey, and claims-based risk adjusters for Medicare capitation payment. They contend that the survey health-status models have three to four times the predictive power of the demographic models. In addition, the assert that the risk-adjustment model derived from claims diagnoses has 75-percent greater predictive power than a comprehensive survey model. Furthermore, they argue that no single model predicts average expenditures well for all beneficiaries subgroups of interest, implying that a combined model may be appropriate. They conclude that more data are required to obtain stable estimates of model parameters and consider the advantages and disadvantages of alternative risk adjusters. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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