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Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases

BMC Health Services Research · 2008 · Vol. 8(1) · pp. 12–12

Bing Li✉(Alberta Health Services)Dewey Evans(Provincial Health Services Authority)Peter Faris(University of Calgary)Stafford Dean(University of Calgary)Hude Quan(University of Calgary)

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Abstract

The change in coding algorithms did not influence the performance of either the Charlson or Elixhauser comorbidity measures in the prediction of outcome. Both comorbidity measures were still valid prognostic indicators in the ICD-10 data and had a similar performance in predicting short and long term mortality in the ICD-9 and ICD-10 data.

Medical Coding and Health Information Chronic Disease Management Strategies Machine Learning in HealthcareMedicineICD-10Health administrationHealth informaticsNursing researchQuality of Life ResearchDatabaseEmergency medicinePublic healthMedical emergency

MeSH terms

AgedAlgorithmsBritish ColumbiaDiabetes MellitusFemaleHeart FailureHumansKidney Failure, ChronicMaleROC CurveProgram EvaluationComorbidityLogistic ModelsHospital MortalityRisk Adjustment