A unidirectional mapping of ICD-8 to ICD-10 codes, for harmonized longitudinal analysis of diseases

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

A unidirectional mapping of ICD-8 to ICD-10 codes, for harmonized longitudinal analysis of diseases. / Pedersen, Mette Krogh; Eriksson, Robert; Reguant, Roc; Collin, Catherine; Pedersen, Helle Krogh; Sørup, Freja Karuna Hemmingsen; Simon, Christian; Birch, Anna Marie; Larsen, Michael; Nielsen, Anna Pors; Belling, Kirstine; Brunak, Søren.

In: European Journal of Epidemiology, Vol. 38, 2023, p. 1043–1052 .

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Pedersen, MK, Eriksson, R, Reguant, R, Collin, C, Pedersen, HK, Sørup, FKH, Simon, C, Birch, AM, Larsen, M, Nielsen, AP, Belling, K & Brunak, S 2023, 'A unidirectional mapping of ICD-8 to ICD-10 codes, for harmonized longitudinal analysis of diseases', European Journal of Epidemiology, vol. 38, pp. 1043–1052 . https://doi.org/10.1007/s10654-023-01027-y

APA

Pedersen, M. K., Eriksson, R., Reguant, R., Collin, C., Pedersen, H. K., Sørup, F. K. H., Simon, C., Birch, A. M., Larsen, M., Nielsen, A. P., Belling, K., & Brunak, S. (2023). A unidirectional mapping of ICD-8 to ICD-10 codes, for harmonized longitudinal analysis of diseases. European Journal of Epidemiology, 38, 1043–1052 . https://doi.org/10.1007/s10654-023-01027-y

Vancouver

Pedersen MK, Eriksson R, Reguant R, Collin C, Pedersen HK, Sørup FKH et al. A unidirectional mapping of ICD-8 to ICD-10 codes, for harmonized longitudinal analysis of diseases. European Journal of Epidemiology. 2023;38:1043–1052 . https://doi.org/10.1007/s10654-023-01027-y

Author

Pedersen, Mette Krogh ; Eriksson, Robert ; Reguant, Roc ; Collin, Catherine ; Pedersen, Helle Krogh ; Sørup, Freja Karuna Hemmingsen ; Simon, Christian ; Birch, Anna Marie ; Larsen, Michael ; Nielsen, Anna Pors ; Belling, Kirstine ; Brunak, Søren. / A unidirectional mapping of ICD-8 to ICD-10 codes, for harmonized longitudinal analysis of diseases. In: European Journal of Epidemiology. 2023 ; Vol. 38. pp. 1043–1052 .

Bibtex

@article{0abc88da1c6e447da080227bcc65ab5e,
title = "A unidirectional mapping of ICD-8 to ICD-10 codes, for harmonized longitudinal analysis of diseases",
abstract = "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.",
keywords = "Conversion table, Crosswalk, Data harmonization, Denmark, Diagnosis, Disease codes, ICD-10, ICD-8, International classification of diseases, Mapping",
author = "Pedersen, {Mette Krogh} and Robert Eriksson and Roc Reguant and Catherine Collin and Pedersen, {Helle Krogh} and S{\o}rup, {Freja Karuna Hemmingsen} and Christian Simon and Birch, {Anna Marie} and Michael Larsen and Nielsen, {Anna Pors} and Kirstine Belling and S{\o}ren Brunak",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s).",
year = "2023",
doi = "10.1007/s10654-023-01027-y",
language = "English",
volume = "38",
pages = "1043–1052 ",
journal = "European Journal of Epidemiology",
issn = "0393-2990",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - A unidirectional mapping of ICD-8 to ICD-10 codes, for harmonized longitudinal analysis of diseases

AU - Pedersen, Mette Krogh

AU - Eriksson, Robert

AU - Reguant, Roc

AU - Collin, Catherine

AU - Pedersen, Helle Krogh

AU - Sørup, Freja Karuna Hemmingsen

AU - Simon, Christian

AU - Birch, Anna Marie

AU - Larsen, Michael

AU - Nielsen, Anna Pors

AU - Belling, Kirstine

AU - Brunak, Søren

N1 - Publisher Copyright: © 2023, The Author(s).

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Conversion table

KW - Crosswalk

KW - Data harmonization

KW - Denmark

KW - Diagnosis

KW - Disease codes

KW - ICD-10

KW - ICD-8

KW - International classification of diseases

KW - Mapping

U2 - 10.1007/s10654-023-01027-y

DO - 10.1007/s10654-023-01027-y

M3 - Journal article

C2 - 37555907

AN - SCOPUS:85167357915

VL - 38

SP - 1043

EP - 1052

JO - European Journal of Epidemiology

JF - European Journal of Epidemiology

SN - 0393-2990

ER -

ID: 363058590