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Risk Adjustment for Dually Eligible Beneficiaries Using Long-Term Care
This study explores use of the principal inpatient diagnostic cost groups (PIPDCG) and hierarchical coexisting conditions (HCC) risk-adjustment methodologies for a population of dually eligible beneficiaries receiving chronic long-term care (LTC). Measures of individual predictive accuracy for this...
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/PMC4194524/ https://www.ncbi.nlm.nih.gov/pubmed/25372482 |
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author | McCall, Nelda Korb, Jodi |
author_facet | McCall, Nelda Korb, Jodi |
author_sort | McCall, Nelda |
collection | PubMed |
description | This study explores use of the principal inpatient diagnostic cost groups (PIPDCG) and hierarchical coexisting conditions (HCC) risk-adjustment methodologies for a population of dually eligible beneficiaries receiving chronic long-term care (LTC). Measures of individual predictive accuracy for this population compared with the total Medicare population were similar for the PIPDCG models but somewhat smaller for the HCC models. Incorporating measures of functional status increased the R(2) values by only a small amount for Medicare expenditures but by a somewhat larger amount for total expenditures. Addition of other variables, especially placement, further improved the predictive power. |
format | Online Article Text |
id | pubmed-4194524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1998 |
publisher | CENTERS for MEDICARE & MEDICAID SERVICES |
record_format | MEDLINE/PubMed |
spelling | pubmed-41945242014-11-04 Risk Adjustment for Dually Eligible Beneficiaries Using Long-Term Care McCall, Nelda Korb, Jodi Health Care Financ Rev Research Article This study explores use of the principal inpatient diagnostic cost groups (PIPDCG) and hierarchical coexisting conditions (HCC) risk-adjustment methodologies for a population of dually eligible beneficiaries receiving chronic long-term care (LTC). Measures of individual predictive accuracy for this population compared with the total Medicare population were similar for the PIPDCG models but somewhat smaller for the HCC models. Incorporating measures of functional status increased the R(2) values by only a small amount for Medicare expenditures but by a somewhat larger amount for total expenditures. Addition of other variables, especially placement, further improved the predictive power. CENTERS for MEDICARE & MEDICAID SERVICES 1998 /pmc/articles/PMC4194524/ /pubmed/25372482 Text en |
spellingShingle | Research Article McCall, Nelda Korb, Jodi Risk Adjustment for Dually Eligible Beneficiaries Using Long-Term Care |
title | Risk Adjustment for Dually Eligible Beneficiaries Using Long-Term Care |
title_full | Risk Adjustment for Dually Eligible Beneficiaries Using Long-Term Care |
title_fullStr | Risk Adjustment for Dually Eligible Beneficiaries Using Long-Term Care |
title_full_unstemmed | Risk Adjustment for Dually Eligible Beneficiaries Using Long-Term Care |
title_short | Risk Adjustment for Dually Eligible Beneficiaries Using Long-Term Care |
title_sort | risk adjustment for dually eligible beneficiaries using long-term care |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194524/ https://www.ncbi.nlm.nih.gov/pubmed/25372482 |
work_keys_str_mv | AT mccallnelda riskadjustmentforduallyeligiblebeneficiariesusinglongtermcare AT korbjodi riskadjustmentforduallyeligiblebeneficiariesusinglongtermcare |