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Field testing a new ICD coding system: methods and early experiences with ICD-11 Beta Version 2018
OBJECTIVE: A beta version (2018) of International Classification of Diseases, 11th Revision for MMS (ICD-11), needed testing. Field-testing involves real-world application of the new codes to examine usability. We describe creating a dataset and characterizing the usability of ICD-11 code set by cod...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644463/ https://www.ncbi.nlm.nih.gov/pubmed/36348430 http://dx.doi.org/10.1186/s13104-022-06238-2 |
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author | Eastwood, Cathy A. Southern, Danielle A. Khair, Shahreen Doktorchik, Chelsea Cullen, Denise Ghali, William A. Quan, Hude |
author_facet | Eastwood, Cathy A. Southern, Danielle A. Khair, Shahreen Doktorchik, Chelsea Cullen, Denise Ghali, William A. Quan, Hude |
author_sort | Eastwood, Cathy A. |
collection | PubMed |
description | OBJECTIVE: A beta version (2018) of International Classification of Diseases, 11th Revision for MMS (ICD-11), needed testing. Field-testing involves real-world application of the new codes to examine usability. We describe creating a dataset and characterizing the usability of ICD-11 code set by coders. We compare ICD-11 against ICD-10-CA (Canadian modification) and a reference standard dataset of diagnoses. Real-world usability encompasses code selection and time to code a complete inpatient chart using ICD-11 compared with ICD-10-CA. METHODS AND RESULTS: A random sample of inpatient records previously coded using ICD-10-CA was selected from hospitals in Calgary, Alberta (N = 2896). Nurses examined these charts for conditions and healthcare-related harms. Clinical coders re-coded the same charts using ICD-11 codes. Inter-rater reliability (IRR) and coding time improved with ICD-11 coding experience (23.6 to 9.9 min average per chart). Code structure comparisons and challenges encountered are described. Overall, 86.3% of main condition codes matched. Coder comments regarding duplicate codes, missing codes, code finding issues enabled improvements to the ICD-11 Browser, Coding Tool, and Reference Guide. Training is essential for solid IRR with 17,000 diagnostic categories in the new ICD-11. As countries transition to ICD-11, our coding experiences and methods can inform users for implementation or field testing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-022-06238-2. |
format | Online Article Text |
id | pubmed-9644463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96444632022-11-15 Field testing a new ICD coding system: methods and early experiences with ICD-11 Beta Version 2018 Eastwood, Cathy A. Southern, Danielle A. Khair, Shahreen Doktorchik, Chelsea Cullen, Denise Ghali, William A. Quan, Hude BMC Res Notes Research Note OBJECTIVE: A beta version (2018) of International Classification of Diseases, 11th Revision for MMS (ICD-11), needed testing. Field-testing involves real-world application of the new codes to examine usability. We describe creating a dataset and characterizing the usability of ICD-11 code set by coders. We compare ICD-11 against ICD-10-CA (Canadian modification) and a reference standard dataset of diagnoses. Real-world usability encompasses code selection and time to code a complete inpatient chart using ICD-11 compared with ICD-10-CA. METHODS AND RESULTS: A random sample of inpatient records previously coded using ICD-10-CA was selected from hospitals in Calgary, Alberta (N = 2896). Nurses examined these charts for conditions and healthcare-related harms. Clinical coders re-coded the same charts using ICD-11 codes. Inter-rater reliability (IRR) and coding time improved with ICD-11 coding experience (23.6 to 9.9 min average per chart). Code structure comparisons and challenges encountered are described. Overall, 86.3% of main condition codes matched. Coder comments regarding duplicate codes, missing codes, code finding issues enabled improvements to the ICD-11 Browser, Coding Tool, and Reference Guide. Training is essential for solid IRR with 17,000 diagnostic categories in the new ICD-11. As countries transition to ICD-11, our coding experiences and methods can inform users for implementation or field testing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-022-06238-2. BioMed Central 2022-11-08 /pmc/articles/PMC9644463/ /pubmed/36348430 http://dx.doi.org/10.1186/s13104-022-06238-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Note Eastwood, Cathy A. Southern, Danielle A. Khair, Shahreen Doktorchik, Chelsea Cullen, Denise Ghali, William A. Quan, Hude Field testing a new ICD coding system: methods and early experiences with ICD-11 Beta Version 2018 |
title | Field testing a new ICD coding system: methods and early experiences with ICD-11 Beta Version 2018 |
title_full | Field testing a new ICD coding system: methods and early experiences with ICD-11 Beta Version 2018 |
title_fullStr | Field testing a new ICD coding system: methods and early experiences with ICD-11 Beta Version 2018 |
title_full_unstemmed | Field testing a new ICD coding system: methods and early experiences with ICD-11 Beta Version 2018 |
title_short | Field testing a new ICD coding system: methods and early experiences with ICD-11 Beta Version 2018 |
title_sort | field testing a new icd coding system: methods and early experiences with icd-11 beta version 2018 |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644463/ https://www.ncbi.nlm.nih.gov/pubmed/36348430 http://dx.doi.org/10.1186/s13104-022-06238-2 |
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