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Evaluating Alternative Risk Adjusters for Medicare
In this study the authors use 3 years of the Medicare Current Beneficiary Survey (MCBS) to evaluate alternative demographic, survey, and claims-based risk adjusters for Medicare capitation payment. The survey health-status models have three to four times the predictive power of the demographic model...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
CENTERS for MEDICARE & MEDICAID SERVICES
1998
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194526/ https://www.ncbi.nlm.nih.gov/pubmed/25372855 |
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author | Pope, Gregory C. Adamache, Killard W. Walsh, Edith G. Khandker, Rezaul K. |
author_facet | Pope, Gregory C. Adamache, Killard W. Walsh, Edith G. Khandker, Rezaul K. |
author_sort | Pope, Gregory C. |
collection | PubMed |
description | In this study the authors use 3 years of the Medicare Current Beneficiary Survey (MCBS) to evaluate alternative demographic, survey, and claims-based risk adjusters for Medicare capitation payment. The survey health-status models have three to four times the predictive power of the demographic models. The risk-adjustment model derived from claims diagnoses has 75-percent greater predictive power than a comprehensive survey model. No single model predicts average expenditures well for all beneficiary subgroups of interest, suggesting a combined model may be appropriate. More data are needed to obtain stable estimates of model parameters. Advantages and disadvantages of alternative risk adjusters are discussed. |
format | Online Article Text |
id | pubmed-4194526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1998 |
publisher | CENTERS for MEDICARE & MEDICAID SERVICES |
record_format | MEDLINE/PubMed |
spelling | pubmed-41945262014-11-04 Evaluating Alternative Risk Adjusters for Medicare Pope, Gregory C. Adamache, Killard W. Walsh, Edith G. Khandker, Rezaul K. Health Care Financ Rev Research Article In this study the authors use 3 years of the Medicare Current Beneficiary Survey (MCBS) to evaluate alternative demographic, survey, and claims-based risk adjusters for Medicare capitation payment. The survey health-status models have three to four times the predictive power of the demographic models. The risk-adjustment model derived from claims diagnoses has 75-percent greater predictive power than a comprehensive survey model. No single model predicts average expenditures well for all beneficiary subgroups of interest, suggesting a combined model may be appropriate. More data are needed to obtain stable estimates of model parameters. Advantages and disadvantages of alternative risk adjusters are discussed. CENTERS for MEDICARE & MEDICAID SERVICES 1998 /pmc/articles/PMC4194526/ /pubmed/25372855 Text en |
spellingShingle | Research Article Pope, Gregory C. Adamache, Killard W. Walsh, Edith G. Khandker, Rezaul K. Evaluating Alternative Risk Adjusters for Medicare |
title | Evaluating Alternative Risk Adjusters for Medicare |
title_full | Evaluating Alternative Risk Adjusters for Medicare |
title_fullStr | Evaluating Alternative Risk Adjusters for Medicare |
title_full_unstemmed | Evaluating Alternative Risk Adjusters for Medicare |
title_short | Evaluating Alternative Risk Adjusters for Medicare |
title_sort | evaluating alternative risk adjusters for medicare |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194526/ https://www.ncbi.nlm.nih.gov/pubmed/25372855 |
work_keys_str_mv | AT popegregoryc evaluatingalternativeriskadjustersformedicare AT adamachekillardw evaluatingalternativeriskadjustersformedicare AT walshedithg evaluatingalternativeriskadjustersformedicare AT khandkerrezaulk evaluatingalternativeriskadjustersformedicare |