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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...

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Autores principales: Lin, John K., Hong, Juliette, Phibbs, Ciaran, Almenoff, Peter, Wagner, Todd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
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.
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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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