Literature DB >> 22126957

Comorbidity indexes from administrative datasets: what is measured?

Shyamala G Nadathur1.   

Abstract

It is important to factor-in the characteristics of patients that may affect treatment, outcome and resource when making clinical and administrative decisions, plans or policies. For some two and half decades there have been efforts to construct and refine instruments that endeavour to capture the concept of comorbidity. This paper focuses on such comorbidity measures that are derived from diagnoses information recorded in administrative datasets. The pros and cons of the popular weighted Charlson and Charlson-based indexes are discussed. Means to improve the comorbidity indexes are considered including the very concept and definition of comorbidity.

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Year:  2011        PMID: 22126957     DOI: 10.1071/AH10933

Source DB:  PubMed          Journal:  Aust Health Rev        ISSN: 0156-5788            Impact factor:   1.990


  2 in total

1.  Healthcare utilization and costs associated with S. aureus and P. aeruginosa pneumonia in the intensive care unit: a retrospective observational cohort study in a US claims database.

Authors:  Moe H Kyaw; David M Kern; Siting Zhou; Ozgur Tunceli; Hasan S Jafri; Judith Falloon
Journal:  BMC Health Serv Res       Date:  2015-06-21       Impact factor: 2.655

2.  Validation of an obstetric comorbidity index in an external population.

Authors:  A Metcalfe; L M Lix; J-A Johnson; G Currie; A W Lyon; F Bernier; S C Tough
Journal:  BJOG       Date:  2015-01-05       Impact factor: 6.531

  2 in total

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