Journal ArticleDOI
Comorbidity measures for use with administrative data.
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TLDR
The present method addresses some of the limitations of previous measures and produces an expanded set of comorbidities that easily is applied without further refinement to administrative data for a wide range of diseases.Abstract:
Objectives.This study attempts to develop a comprehensive set of comorbidity measures for use with large administrative inpatient datasets.Methods.The study involved clinical and empirical review of comorbidity measures, development of a framework that attempts to segregate comorbidities from otherread more
Citations
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Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.
Hude Quan,Vijaya Sundararajan,Patricia Halfon,Andrew Fong,Bernard Burnand,Jean-Christophe Luthi,L. Duncan Saunders,Cynthia A. Beck,Thomas E Feasby,William A. Ghali +9 more
TL;DR: A multistep process to develop ICD-10 coding algorithms to define Charlson and Elixhauser comorbidities in administrative data and assess the performance of the resulting algorithms found these newly developed algorithms produce similar estimates ofComorbidity prevalence in administrativeData, and may outperform existing I CD-9-CM coding algorithms.
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Updating and Validating the Charlson Comorbidity Index and Score for Risk Adjustment in Hospital Discharge Abstracts Using Data From 6 Countries
Hude Quan,Bing Li,Chantal Marie Couris,Kiyohide Fushimi,Patrick Graham,Phil Hider,Jean-Marie Januel,Vijaya Sundararajan +7 more
TL;DR: The updated Charlson index of 12 comorbidities showed good-to-excellent discrimination in predicting in-hospital mortality in data from 6 countries and may be more appropriate for use with more recent administrative data.
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The Agency for Healthcare Research and Quality
TL;DR: The mission of the Agency for Healthcare Research and Quality is “to improve the quality, safety, efficiency, and effectiveness of health care for all Americans”.
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Prevalence, expenditures, and complications of multiple chronic conditions in the elderly
TL;DR: Better primary care, especially coordination of care, could reduce avoidable hospitalization rates, especially for individuals with multiple chronic conditions.
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How to measure comorbidity: a critical review of available methods
TL;DR: The Charlson Index, the CIRS, the ICED and the Kaplan Index are valid and reliable methods to measure comorbidity that can be used in clinical research.
References
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A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation☆
TL;DR: The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death fromComorbid disease for use in longitudinal studies and further work in larger populations is still required to refine the approach.
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Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases
TL;DR: It is concluded that the adapted comorbidity index will be useful in studies of disease outcome and resource use employing administrative databases.
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Presentation adapting a clinical comorbidity index for use with ICD-9-CM administrative data: Differing perspectives
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Practical considerations on the use of the Charlson comorbidity index with administrative data bases.
TL;DR: It is concluded that the Charlson index may be an efficient approach to risk adjustment from administrative data bases, although it should be tested on other conditions.
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The importance of classifying initial co-morbidity in evaluating the outcome of diabetes mellitus
TL;DR: Among 5-yr survivors, the occurrence rate of new vascular events (or ‘diabetic complications’) was directly related to the same features of age and co-morbidity that seemed to affect fatality.