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Evaluating the Role of Past Clinical Information on Risk Adjustment
OBJECTIVE: The objective of this study was to evaluate whether incorporating historical clinical information beyond 1 year improves risk adjustment. DATA SOURCES: Administrative data from the Department of Veterans Affairs and Medicare (for veterans concurrently enrolled in Medicare) for fiscal year...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6970544/ https://www.ncbi.nlm.nih.gov/pubmed/31688567 http://dx.doi.org/10.1097/MLR.0000000000001236 |
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author | Lin, John K. Hong, Juliette Phibbs, Ciaran Almenoff, Peter Wagner, Todd |
author_facet | Lin, John K. Hong, Juliette Phibbs, Ciaran Almenoff, Peter Wagner, Todd |
author_sort | Lin, John K. |
collection | PubMed |
description | OBJECTIVE: The objective of this study was to evaluate whether incorporating historical clinical information beyond 1 year improves risk adjustment. DATA SOURCES: Administrative data from the Department of Veterans Affairs and Medicare (for veterans concurrently enrolled in Medicare) for fiscal years (FYs) 2011–2015. STUDY DESIGN: We regressed total annual costs on Medicare hierarchical condition category indicators and risk scores for FY 2015 in both a concurrent and a prospective model using 5-fold cross-validation. Regressions were repeated incorporating clinical information from FY 2011 to 2015. Model fit was appraised using R(2) and mean squared predictive error (MSPE). DATA COLLECTION: All veterans affairs users (n=3,254,783) with diagnostic information FY 2011–2015. PRINCIPAL FINDINGS: In a concurrent model, adding additional years of historical clinical information (FY 2011–2014) did not result in substantive gains in fit (R(2) from 0.671 to 0.673) or predictive capability (MSPE from 1956 to 1950). In a prospective model, adding additional years of historical clinical information also did not result in substantive gains in fit (R(2) from 0.334 to 0.344) or predictive capability (MSPE from 3988 to 3940). CONCLUSION: Incorporating historical clinical information yielded no material gain in risk adjustment fit. |
format | Online Article Text |
id | pubmed-6970544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-69705442020-02-10 Evaluating the Role of Past Clinical Information on Risk Adjustment Lin, John K. Hong, Juliette Phibbs, Ciaran Almenoff, Peter Wagner, Todd Med Care Brief Report OBJECTIVE: The objective of this study was to evaluate whether incorporating historical clinical information beyond 1 year improves risk adjustment. DATA SOURCES: Administrative data from the Department of Veterans Affairs and Medicare (for veterans concurrently enrolled in Medicare) for fiscal years (FYs) 2011–2015. STUDY DESIGN: We regressed total annual costs on Medicare hierarchical condition category indicators and risk scores for FY 2015 in both a concurrent and a prospective model using 5-fold cross-validation. Regressions were repeated incorporating clinical information from FY 2011 to 2015. Model fit was appraised using R(2) and mean squared predictive error (MSPE). DATA COLLECTION: All veterans affairs users (n=3,254,783) with diagnostic information FY 2011–2015. PRINCIPAL FINDINGS: In a concurrent model, adding additional years of historical clinical information (FY 2011–2014) did not result in substantive gains in fit (R(2) from 0.671 to 0.673) or predictive capability (MSPE from 1956 to 1950). In a prospective model, adding additional years of historical clinical information also did not result in substantive gains in fit (R(2) from 0.334 to 0.344) or predictive capability (MSPE from 3988 to 3940). CONCLUSION: Incorporating historical clinical information yielded no material gain in risk adjustment fit. Lippincott Williams & Wilkins 2020-02 2019-11-01 /pmc/articles/PMC6970544/ /pubmed/31688567 http://dx.doi.org/10.1097/MLR.0000000000001236 Text en Written work prepared by employees of the Federal Government as part of their official duties is, under the U.S. Copyright Act, a “work of the United States Government” for which copyright protection under Title 17 of the United States Code is not available. As such, copyright does notextend to the contributions of employees of the Federal Government. |
spellingShingle | Brief Report Lin, John K. Hong, Juliette Phibbs, Ciaran Almenoff, Peter Wagner, Todd Evaluating the Role of Past Clinical Information on Risk Adjustment |
title | Evaluating the Role of Past Clinical Information on Risk Adjustment |
title_full | Evaluating the Role of Past Clinical Information on Risk Adjustment |
title_fullStr | Evaluating the Role of Past Clinical Information on Risk Adjustment |
title_full_unstemmed | Evaluating the Role of Past Clinical Information on Risk Adjustment |
title_short | Evaluating the Role of Past Clinical Information on Risk Adjustment |
title_sort | evaluating the role of past clinical information on risk adjustment |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6970544/ https://www.ncbi.nlm.nih.gov/pubmed/31688567 http://dx.doi.org/10.1097/MLR.0000000000001236 |
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