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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...

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Detalles Bibliográficos
Autores principales: McCall, Nelda, Korb, Jodi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: CENTERS for MEDICARE & MEDICAID SERVICES 1998
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.
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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
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