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Mispricing in the Medicare Advantage Risk Adjustment Model

The Centers for Medicare and Medicaid Services (CMS) implemented hierarchical condition category (HCC) models in 2004 to adjust payments to Medicare Advantage (MA) plans to reflect enrollees’ expected health care costs. We use Verisk Health’s diagnostic cost group (DxCG) Medicare models, refined “de...

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Autores principales: Chen, Jing, Ellis, Randall P., Toro, Katherine H., Ash, Arlene S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5950933/
https://www.ncbi.nlm.nih.gov/pubmed/25933614
http://dx.doi.org/10.1177/0046958015583089
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author Chen, Jing
Ellis, Randall P.
Toro, Katherine H.
Ash, Arlene S.
author_facet Chen, Jing
Ellis, Randall P.
Toro, Katherine H.
Ash, Arlene S.
author_sort Chen, Jing
collection PubMed
description The Centers for Medicare and Medicaid Services (CMS) implemented hierarchical condition category (HCC) models in 2004 to adjust payments to Medicare Advantage (MA) plans to reflect enrollees’ expected health care costs. We use Verisk Health’s diagnostic cost group (DxCG) Medicare models, refined “descendants” of the same HCC framework with 189 comprehensive clinical categories available to CMS in 2004, to reveal 2 mispricing errors resulting from CMS’ implementation. One comes from ignoring all diagnostic information for “new enrollees” (those with less than 12 months of prior claims). Another comes from continuing to use the simplified models that were originally adopted in response to assertions from some capitated health plans that submitting the claims-like data that facilitate richer models was too burdensome. Even the main CMS model being used in 2014 recognizes only 79 condition categories, excluding many diagnoses and merging conditions with somewhat heterogeneous costs. Omitted conditions are typically lower cost or “vague” and not easily audited from simplified data submissions. In contrast, DxCG Medicare models use a comprehensive, 394-HCC classification system. Applying both models to Medicare’s 2010-2011 fee-for-service 5% sample, we find mispricing and lower predictive accuracy for the CMS implementation. For example, in 2010, 13% of beneficiaries had at least 1 higher cost DxCG-recognized condition but no CMS-recognized condition; their 2011 actual costs averaged US$6628, almost one-third more than the CMS model prediction. As MA plans must now supply encounter data, CMS should consider using more refined and comprehensive (DxCG-like) models.
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spelling pubmed-59509332018-05-17 Mispricing in the Medicare Advantage Risk Adjustment Model Chen, Jing Ellis, Randall P. Toro, Katherine H. Ash, Arlene S. Inquiry Original Research The Centers for Medicare and Medicaid Services (CMS) implemented hierarchical condition category (HCC) models in 2004 to adjust payments to Medicare Advantage (MA) plans to reflect enrollees’ expected health care costs. We use Verisk Health’s diagnostic cost group (DxCG) Medicare models, refined “descendants” of the same HCC framework with 189 comprehensive clinical categories available to CMS in 2004, to reveal 2 mispricing errors resulting from CMS’ implementation. One comes from ignoring all diagnostic information for “new enrollees” (those with less than 12 months of prior claims). Another comes from continuing to use the simplified models that were originally adopted in response to assertions from some capitated health plans that submitting the claims-like data that facilitate richer models was too burdensome. Even the main CMS model being used in 2014 recognizes only 79 condition categories, excluding many diagnoses and merging conditions with somewhat heterogeneous costs. Omitted conditions are typically lower cost or “vague” and not easily audited from simplified data submissions. In contrast, DxCG Medicare models use a comprehensive, 394-HCC classification system. Applying both models to Medicare’s 2010-2011 fee-for-service 5% sample, we find mispricing and lower predictive accuracy for the CMS implementation. For example, in 2010, 13% of beneficiaries had at least 1 higher cost DxCG-recognized condition but no CMS-recognized condition; their 2011 actual costs averaged US$6628, almost one-third more than the CMS model prediction. As MA plans must now supply encounter data, CMS should consider using more refined and comprehensive (DxCG-like) models. SAGE Publications 2015-05-01 /pmc/articles/PMC5950933/ /pubmed/25933614 http://dx.doi.org/10.1177/0046958015583089 Text en © The Author(s) 2015 http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Chen, Jing
Ellis, Randall P.
Toro, Katherine H.
Ash, Arlene S.
Mispricing in the Medicare Advantage Risk Adjustment Model
title Mispricing in the Medicare Advantage Risk Adjustment Model
title_full Mispricing in the Medicare Advantage Risk Adjustment Model
title_fullStr Mispricing in the Medicare Advantage Risk Adjustment Model
title_full_unstemmed Mispricing in the Medicare Advantage Risk Adjustment Model
title_short Mispricing in the Medicare Advantage Risk Adjustment Model
title_sort mispricing in the medicare advantage risk adjustment model
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5950933/
https://www.ncbi.nlm.nih.gov/pubmed/25933614
http://dx.doi.org/10.1177/0046958015583089
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