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Comparing chronic condition rates using ICD-9 and ICD-10 in VA patients FY2014–2016

BACKGROUND: Management of patients with chronic conditions relies on accurate measurement. It is unknown how transition to the ICD-10 coding system affected reporting of chronic condition rates over time. We measured chronic condition rates 2 years before and 1 year after the transition to ICD-10 to...

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Autores principales: Yoon, Jean, Chow, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561575/
https://www.ncbi.nlm.nih.gov/pubmed/28818082
http://dx.doi.org/10.1186/s12913-017-2504-9
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author Yoon, Jean
Chow, Adam
author_facet Yoon, Jean
Chow, Adam
author_sort Yoon, Jean
collection PubMed
description BACKGROUND: Management of patients with chronic conditions relies on accurate measurement. It is unknown how transition to the ICD-10 coding system affected reporting of chronic condition rates over time. We measured chronic condition rates 2 years before and 1 year after the transition to ICD-10 to examine changes in prevalence rates and potential measurement issues in the Veterans Affairs (VA) health care system. METHODS: We developed definitions for 34 chronic conditions using ICD-9 and ICD-10 codes and compared the prevalence rates of these conditions from FY2014 to 2016 in a 20% random sample (1.0 million) of all VA patients. In each year we estimated the total number of patients diagnosed with the conditions. We regressed each condition on an indicator of ICD-10 (versus ICD-9) measurement to obtain the odds ratio associated with ICD-10. RESULTS: Condition prevalence estimates were similar for most conditions before and after ICD-10 transition. We found significant changes in a few exceptions. Alzheimer’s disease and spinal cord injury had more than twice the odds of being measured with ICD-10 compared to ICD-9. HIV/AIDS had one-third the odds, and arthritis had half the odds of being measured with ICD-10. Alcohol dependence and tobacco/nicotine dependence had half the odds of being measured in ICD-10. CONCLUSION: Many chronic condition rates were consistent from FY14–16, and there did not appear to be widespread undercoding of conditions after ICD-10 transition. It is unknown whether increased sensitivity or undercoding led to decreases in mental health conditions.
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spelling pubmed-55615752017-08-18 Comparing chronic condition rates using ICD-9 and ICD-10 in VA patients FY2014–2016 Yoon, Jean Chow, Adam BMC Health Serv Res Research Article BACKGROUND: Management of patients with chronic conditions relies on accurate measurement. It is unknown how transition to the ICD-10 coding system affected reporting of chronic condition rates over time. We measured chronic condition rates 2 years before and 1 year after the transition to ICD-10 to examine changes in prevalence rates and potential measurement issues in the Veterans Affairs (VA) health care system. METHODS: We developed definitions for 34 chronic conditions using ICD-9 and ICD-10 codes and compared the prevalence rates of these conditions from FY2014 to 2016 in a 20% random sample (1.0 million) of all VA patients. In each year we estimated the total number of patients diagnosed with the conditions. We regressed each condition on an indicator of ICD-10 (versus ICD-9) measurement to obtain the odds ratio associated with ICD-10. RESULTS: Condition prevalence estimates were similar for most conditions before and after ICD-10 transition. We found significant changes in a few exceptions. Alzheimer’s disease and spinal cord injury had more than twice the odds of being measured with ICD-10 compared to ICD-9. HIV/AIDS had one-third the odds, and arthritis had half the odds of being measured with ICD-10. Alcohol dependence and tobacco/nicotine dependence had half the odds of being measured in ICD-10. CONCLUSION: Many chronic condition rates were consistent from FY14–16, and there did not appear to be widespread undercoding of conditions after ICD-10 transition. It is unknown whether increased sensitivity or undercoding led to decreases in mental health conditions. BioMed Central 2017-08-17 /pmc/articles/PMC5561575/ /pubmed/28818082 http://dx.doi.org/10.1186/s12913-017-2504-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Yoon, Jean
Chow, Adam
Comparing chronic condition rates using ICD-9 and ICD-10 in VA patients FY2014–2016
title Comparing chronic condition rates using ICD-9 and ICD-10 in VA patients FY2014–2016
title_full Comparing chronic condition rates using ICD-9 and ICD-10 in VA patients FY2014–2016
title_fullStr Comparing chronic condition rates using ICD-9 and ICD-10 in VA patients FY2014–2016
title_full_unstemmed Comparing chronic condition rates using ICD-9 and ICD-10 in VA patients FY2014–2016
title_short Comparing chronic condition rates using ICD-9 and ICD-10 in VA patients FY2014–2016
title_sort comparing chronic condition rates using icd-9 and icd-10 in va patients fy2014–2016
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561575/
https://www.ncbi.nlm.nih.gov/pubmed/28818082
http://dx.doi.org/10.1186/s12913-017-2504-9
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