Scinovex
article Open AccessTop 10% cited

Why Summary Comorbidity Measures Such As the Charlson Comorbidity Index and Elixhauser Score Work

Medical Care · 2013 · Vol. 53(9) · pp. e65–e72
Steven R. AustinYu‐Ning WongRobert G. UzzoJ. Robert BeckBrian L. Egleston

Abstract

Summary comorbidity measures, such as the Charlson Comorbidity Index and Elixhauser scores, are commonly used for clinical prognosis and comorbidity adjustment. We have provided a theoretical justification that validates the use of such scores under many conditions. Our simulations generally confirm the utility of the summary comorbidity measures as substitutes for use of the individual comorbidity variables in health services research. One caveat is that a summary measure may only be as good as the variables used to create it.

Chronic Disease Management StrategiesStatistical Methods in EpidemiologyNutrition and Health in AgingComorbidityConfoundingMedicineCharlson comorbidity indexPsychiatryInternal medicine

MeSH terms

AgedAlgorithmsFemaleMedicareHealth Services ResearchHumansInsurance Claim ReviewKidney NeoplasmsMaleNeoplasm StagingPrognosisUnited StatesModels, StatisticalComorbidityIncidence
Citations
701
FWCI
7.33
field-weighted impact
References
25
Percentile
98%
vs. same field & year
Citations per year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.

Why Summary Comorbidity Measures Such As the Charlson Comorbidity Index and Elixhauser Score Work · Scinovex