Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data

Détails

ID Serval
serval:BIB_DE5610D1AFC3
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data
Périodique
Medical Care
Auteur⸱e⸱s
Quan Hude, Sundararajan Vijaya, Halfon Patricia, Fong Andrew, Burnand Bernard, Saunders L. Duncan , Beck Cynthia A., Feasby Thomas E., Ghali William A.
ISSN
0025-7079
Statut éditorial
Publié
Date de publication
2005
Volume
43
Numéro
11
Pages
1130-1139
Notes
SAPHIRID:48687 --- Old url value: http://gateway.ovid.com/ovidweb.cgi?T=JS&MODE=ovid&PAGE=fulltext&D=ovft&AN=00005650-200511000-00010
Résumé
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. RESULTS: Among 56,585 patients in the ICD-9-CM data and 58,805 patients in the ICD-10 data, frequencies of the 17 Charlson comorbidities and the 30 Elixhauser comorbidities remained generally similar across algorithms. The new ICD-10 and enhanced ICD-9-CM coding algorithms either matched or outperformed the original Deyo and Elixhauser ICD-9-CM coding algorithms in predicting in-hospital mortality. The C-statistic was 0.842 for Deyo's ICD-9-CM coding algorithm, 0.860 for the ICD-10 coding algorithm, and 0.859 for the enhanced ICD-9-CM coding algorithm, 0.868 for the original Elixhauser ICD-9-CM coding algorithm, 0.870 for the ICD-10 coding algorithm and 0.878 for the enhanced ICD-9-CM coding algorithm. CONCLUSIONS: 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. [Authors]
Pubmed
Web of science
Création de la notice
05/03/2008 10:30
Dernière modification de la notice
20/08/2019 17:02
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