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Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data

Medical Care · 2005 · Vol. 43(11) · pp. 1130–1139

Hude Quan✉(University of Alberta)Vijaya Sundararajan(Services Australia)Patricia Halfon(Institute of Social and Preventive Medicine)Andrew Fong✉(University of Alberta)Bernard Burnand(Institute of Social and Preventive Medicine)Jean‐Christophe Luthi(Institute of Social and Preventive Medicine)L. Duncan Saunders(University of Alberta)Cynthia A Beck✉(University of Alberta)Thomas E. Feasby✉(University of Alberta)William A. Ghali✉(University of Alberta)

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Abstract

These newly developed ICD-10 and ICD-9-CM comorbidity coding algorithms produce similar estimates of comorbidity prevalence in administrative data, and may outperform existing ICD-9-CM coding algorithms.

Medical Coding and Health Information Chronic Disease Management Strategies Primary Care and Health OutcomesICD-10AlgorithmMedicineCoding (social sciences)Diagnosis codeComorbidityCurrent Procedural TerminologyData miningComputer scienceStatistics

MeSH terms

AlgorithmsCanadaDiseaseFemaleForms and Records ControlHumansMaleMedical RecordsMiddle AgedModels, StatisticalComorbidityHospital MortalityRisk AdjustmentInternational Classification of Diseases

Citations

10,453

FWCI

63.12

field-weighted impact

References

16

Percentile

100%

vs. same field & year

Citations per year

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References

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Medical Care · 1998 · 9,773 citations

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Journal of Clinical Epidemiology · 2004 · 2,455 citations

Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach

Biometrics · 1988 · 21,860 citations

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Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data · Scinovex