A unidirectional mapping of ICD-8 to ICD-10 codes, for harmonized longitudinal analysis of diseases
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Periodic revisions of the international classification of diseases (ICD) ensure that the classification reflects new practices and knowledge; however, this complicates retrospective research as diagnoses are coded in different versions. For longitudinal disease trajectory studies, a crosswalk is an essential tool and a comprehensive mapping between ICD-8 and ICD-10 has until now been lacking. In this study, we map all ICD-8 morbidity codes to ICD-10 in the expanded Danish ICD version. We mapped ICD-8 codes to ICD-10, using a many-to-one system inspired by general equivalence mappings such that each ICD-8 code maps to a single ICD-10 code. Each ICD-8 code was manually and unidirectionally mapped to a single ICD-10 code based on medical setting and context. Each match was assigned a score (1 of 4 levels) reflecting the quality of the match and, if applicable, a “flag” signalling choices made in the mapping. We provide the first complete mapping of the 8596 ICD-8 morbidity codes to ICD-10 codes. All Danish ICD-8 codes representing diseases were mapped and 5106 (59.4%) achieved the highest consistency score. Only 334 (3.9%) of the ICD-8 codes received the lowest mapping consistency score. The mapping provides a scaffold for translation of ICD-8 to ICD-10, which enable longitudinal disease studies back to and 1969 in Denmark and to 1965 internationally with further adaption.
Originalsprog | Engelsk |
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Tidsskrift | European Journal of Epidemiology |
Vol/bind | 38 |
Sider (fra-til) | 1043–1052 |
Antal sider | 10 |
ISSN | 0393-2990 |
DOI | |
Status | Udgivet - 2023 |
Bibliografisk note
Funding Information:
Open access funding provided by Royal Library, Copenhagen University Library. We gratefully acknowledge the support of the EU (EU-STANDS4PM, 825843) and the Novo Nordisk Foundation via Grants, NNF14CC0001 and NNF17OC0027594. The funding bodies had no role in the design, analysis, interpretation or writing the manuscript.
Publisher Copyright:
© 2023, The Author(s).
ID: 363058590