articleMedical CareOct 13, 2005Closed access

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

University of Alberta · University of Calgary · +3 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

Objectives

Implementation of the International Statistical Classification of Disease and Related Health Problems, 10th Revision (ICD-10) coding system presents challenges for using administrative data. Recognizing this, we conducted a multistep process to develop ICD-10 coding algorithms to define Charlson and Elixhauser comorbidities in administrative data and assess the performance of the resulting algorithms.

Methods

ICD-10 coding algorithms were developed by "translation" of the ICD-9-CM codes constituting Deyo's (for Charlson comorbidities) and Elixhauser's coding algorithms and by physicians' assessment of the face-validity of selected ICD-10 codes. The process of carefully developing ICD-10 algorithms also produced modified and enhanced ICD-9-CM coding algorithms for the Charlson and Elixhauser comorbidities. We then used data on in-patients aged 18 years and older in ICD-9-CM and ICD-10 administrative hospital discharge data from a Canadian health region to assess the comorbidity frequencies and mortality prediction achieved by the original ICD-9-CM algorithms, the enhanced ICD-9-CM algorithms, and the new ICD-10 coding algorithms.

Citation impact

10,585
total citations
FWCI
57.46
Percentile
100%
References
16
Citations per year

Authors

10

Topics & keywords

Keywords
  • ICD-10
  • Algorithm
  • Medicine
  • Coding (social sciences)
  • Diagnosis code
  • Comorbidity
  • Current Procedural Terminology
  • Data mining
UN Sustainable Development Goals
  • Good health and well-being
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