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Using chronic disease risk factors to adjust Medicare capitation payments

This study evaluates the use of risk factors for chronic disease as health status adjusters for Medicare's capitation formula, the average adjusted per capita costs (AAPCC). Risk factor data for the surviving members of the Framingham Study cohort who were examined in 1982-83 were merged with 1...

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Detalles Bibliográficos
Autores principales: Schauffler, Helen Halpin, Howland, Jonathan, Cobb, Janet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: CENTERS for MEDICARE & MEDICAID SERVICES 1992
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4193323/
https://www.ncbi.nlm.nih.gov/pubmed/10124441
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author Schauffler, Helen Halpin
Howland, Jonathan
Cobb, Janet
author_facet Schauffler, Helen Halpin
Howland, Jonathan
Cobb, Janet
author_sort Schauffler, Helen Halpin
collection PubMed
description This study evaluates the use of risk factors for chronic disease as health status adjusters for Medicare's capitation formula, the average adjusted per capita costs (AAPCC). Risk factor data for the surviving members of the Framingham Study cohort who were examined in 1982-83 were merged with 100 percent Medicare payment data for 1984 and 1985, matching on Social Security number and sex. Seven different AAPCC models were estimated to assess the independent contributions of risk factors and measures of prior utilization and disability in increasing the explanatory power of AAPCC. The findings suggest that inclusion of risk factors for chronic disease as health status adjusters can improve substantially the predictive accuracy of AAPCC.
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spelling pubmed-41933232014-11-04 Using chronic disease risk factors to adjust Medicare capitation payments Schauffler, Helen Halpin Howland, Jonathan Cobb, Janet Health Care Financ Rev Research Article This study evaluates the use of risk factors for chronic disease as health status adjusters for Medicare's capitation formula, the average adjusted per capita costs (AAPCC). Risk factor data for the surviving members of the Framingham Study cohort who were examined in 1982-83 were merged with 100 percent Medicare payment data for 1984 and 1985, matching on Social Security number and sex. Seven different AAPCC models were estimated to assess the independent contributions of risk factors and measures of prior utilization and disability in increasing the explanatory power of AAPCC. The findings suggest that inclusion of risk factors for chronic disease as health status adjusters can improve substantially the predictive accuracy of AAPCC. CENTERS for MEDICARE & MEDICAID SERVICES 1992 /pmc/articles/PMC4193323/ /pubmed/10124441 Text en
spellingShingle Research Article
Schauffler, Helen Halpin
Howland, Jonathan
Cobb, Janet
Using chronic disease risk factors to adjust Medicare capitation payments
title Using chronic disease risk factors to adjust Medicare capitation payments
title_full Using chronic disease risk factors to adjust Medicare capitation payments
title_fullStr Using chronic disease risk factors to adjust Medicare capitation payments
title_full_unstemmed Using chronic disease risk factors to adjust Medicare capitation payments
title_short Using chronic disease risk factors to adjust Medicare capitation payments
title_sort using chronic disease risk factors to adjust medicare capitation payments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4193323/
https://www.ncbi.nlm.nih.gov/pubmed/10124441
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