The Charlson Comorbidity Index Can Be Used Prospectively to Identify Patients Who Will Incur High Future Costs
| Autor: | Ralph Ullman, Martin T. Wells, Mary E. Charlson, Fionnuala King, Celia Shmukler |
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| Rok vydání: | 2014 |
| Předmět: |
Male
Gerontology Percentile Adolescent Total cost lcsh:Medicine Comorbidity Young Adult Health Economics Health care Medicine and Health Sciences Humans Medicine Prospective Studies Child lcsh:Science Prospective cohort study health care economics and organizations Depression (differential diagnoses) Multidisciplinary Health economics business.industry lcsh:R Infant Health Risk Analysis Health Care Costs Middle Aged Explained variation medicine.disease Hospitalization Health Care Models Economic Child Preschool Chronic Disease Regression Analysis Female lcsh:Q Health Services Research business Research Article Demography |
| Zdroj: | PLoS ONE, Vol 9, Iss 12, p e112479 (2014) PLoS ONE |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0112479 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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