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The Charlson Comorbidity Index Can Be Used Prospectively to Identify Patients Who Will Incur High Future Costs
BACKGROUND: Reducing health care costs requires the ability to identify patients most likely to incur high costs. Our objective was to evaluate the ability of the Charlson comorbidity score to predict the individuals who would incur high costs in the subsequent year and to contrast its predictive ab...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254512/ https://www.ncbi.nlm.nih.gov/pubmed/25469987 http://dx.doi.org/10.1371/journal.pone.0112479 |
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author | Charlson, Mary Wells, Martin T. Ullman, Ralph King, Fionnuala Shmukler, Celia |
author_facet | Charlson, Mary Wells, Martin T. Ullman, Ralph King, Fionnuala Shmukler, Celia |
author_sort | Charlson, Mary |
collection | PubMed |
description | BACKGROUND: Reducing health care costs requires the ability to identify patients most likely to incur high costs. Our objective was to evaluate the ability of the Charlson comorbidity score to predict the individuals who would incur high costs in the subsequent year and to contrast its predictive ability with other commonly used predictors. METHODS: We contrasted the prior year Charlson comorbidity index, costs, Diagnostic Cost Group (DCG) and hospitalization as predictors of subsequent year costs from claims data of fund that provides comprehensive health benefits to a large union of health care workers. Total costs in the subsequent year was the principal outcome. RESULTS: Of the 181,764 predominantly Black and Latino beneficiaries, 70% were adults (mean age 45.7 years; 62% women). As the comorbidity index increased, total yearly costs increased significantly (P<.001). At lower comorbidity, the costs were similar across different chronic diseases. Using regression to predict total costs, top 5(th) and 10(th) percentile of costs, the comorbidity index, prior costs and DCG achieved almost identical explained variance in both adults and children. CONCLUSIONS AND RELEVANCE: The comorbidity index predicted health costs in the subsequent year, performing as well as prior cost and DCG in identifying those in the top 5% or 10%. The comorbidity index can be used prospectively to identify patients who are likely to incur high costs. TRIAL REGISTRATION: ClinicalTrials.gov NCT01761253 |
format | Online Article Text |
id | pubmed-4254512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42545122014-12-11 The Charlson Comorbidity Index Can Be Used Prospectively to Identify Patients Who Will Incur High Future Costs Charlson, Mary Wells, Martin T. Ullman, Ralph King, Fionnuala Shmukler, Celia PLoS One Research Article BACKGROUND: Reducing health care costs requires the ability to identify patients most likely to incur high costs. Our objective was to evaluate the ability of the Charlson comorbidity score to predict the individuals who would incur high costs in the subsequent year and to contrast its predictive ability with other commonly used predictors. METHODS: We contrasted the prior year Charlson comorbidity index, costs, Diagnostic Cost Group (DCG) and hospitalization as predictors of subsequent year costs from claims data of fund that provides comprehensive health benefits to a large union of health care workers. Total costs in the subsequent year was the principal outcome. RESULTS: Of the 181,764 predominantly Black and Latino beneficiaries, 70% were adults (mean age 45.7 years; 62% women). As the comorbidity index increased, total yearly costs increased significantly (P<.001). At lower comorbidity, the costs were similar across different chronic diseases. Using regression to predict total costs, top 5(th) and 10(th) percentile of costs, the comorbidity index, prior costs and DCG achieved almost identical explained variance in both adults and children. CONCLUSIONS AND RELEVANCE: The comorbidity index predicted health costs in the subsequent year, performing as well as prior cost and DCG in identifying those in the top 5% or 10%. The comorbidity index can be used prospectively to identify patients who are likely to incur high costs. TRIAL REGISTRATION: ClinicalTrials.gov NCT01761253 Public Library of Science 2014-12-03 /pmc/articles/PMC4254512/ /pubmed/25469987 http://dx.doi.org/10.1371/journal.pone.0112479 Text en © 2014 Charlson et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Charlson, Mary Wells, Martin T. Ullman, Ralph King, Fionnuala Shmukler, Celia The Charlson Comorbidity Index Can Be Used Prospectively to Identify Patients Who Will Incur High Future Costs |
title | The Charlson Comorbidity Index Can Be Used Prospectively to Identify Patients Who Will Incur High Future Costs |
title_full | The Charlson Comorbidity Index Can Be Used Prospectively to Identify Patients Who Will Incur High Future Costs |
title_fullStr | The Charlson Comorbidity Index Can Be Used Prospectively to Identify Patients Who Will Incur High Future Costs |
title_full_unstemmed | The Charlson Comorbidity Index Can Be Used Prospectively to Identify Patients Who Will Incur High Future Costs |
title_short | The Charlson Comorbidity Index Can Be Used Prospectively to Identify Patients Who Will Incur High Future Costs |
title_sort | charlson comorbidity index can be used prospectively to identify patients who will incur high future costs |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254512/ https://www.ncbi.nlm.nih.gov/pubmed/25469987 http://dx.doi.org/10.1371/journal.pone.0112479 |
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