Coding Algorithms for Defining Comorbidities in …

ORIGINALARTICLEC oding Algorithms for Defining Comorbidities inICD-9-CM and ICD-10 Administrative DataHude Quan, MD, PhD,* Vijaya Sundararajan, MD, MPH, FACP, Patricia Halfon, MD, Andrew Fong, BCOMM,* Bernard Burnand, MD, MPH, Jean-Christophe Luthi, MD, PhD, L. Duncan Saunders, MBBCh, PhD, Cynthia A. Beck, MD, MASc,* Thomas E. Feasby, MD,**and William A. Ghali, MD, MPH,* , Objectives:Implementation of the International Statistical Classi-fication of Disease and Related Health Problems, 10th Revision(ICD-10) Coding system presents challenges for using administrativedata. Recognizing this, we conducted a multistep process to developICD-10 Coding Algorithms to define Charlson and Elixhauser co-morbidities in administrative data and assess the performance of theresulting :ICD-10 Coding Algorithms were developed by transla-tion of the ICD-9-CM codes constituting Deyo s (for Charlsoncomorbidities) and Elixhauser s Coding Algorithms and by physi-cians assessment of the face-validity of selected ICD-10 codes.

ORIGINAL ARTICLE Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data Hude Quan, MD, PhD,*† Vijaya Sundararajan, MD, MPH, FACP,‡ Patricia Halfon, MD,§

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