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Spine coding transition from ICD-9 to ICD-10: Not taking advantage of the specificity of a more granular system

BACKGROUND: The transition from International Classification of Diseases, 9th Edition (ICD-9) to the 10th edition (ICD-10) in 2015 increased the number and specificity of diagnostic codes with the goal of facilitating clinical care and research possibilities. Considering the potential to default to...

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Autores principales: Sabatino, Matthew J., Burroughs, Patrick J., Moore, Harold G., Grauer, Jonathan N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820049/
https://www.ncbi.nlm.nih.gov/pubmed/35141603
http://dx.doi.org/10.1016/j.xnsj.2020.100035
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author Sabatino, Matthew J.
Burroughs, Patrick J.
Moore, Harold G.
Grauer, Jonathan N.
author_facet Sabatino, Matthew J.
Burroughs, Patrick J.
Moore, Harold G.
Grauer, Jonathan N.
author_sort Sabatino, Matthew J.
collection PubMed
description BACKGROUND: The transition from International Classification of Diseases, 9th Edition (ICD-9) to the 10th edition (ICD-10) in 2015 increased the number and specificity of diagnostic codes with the goal of facilitating clinical care and research possibilities. Considering the potential to default to less specified ICD-10 codes, the current study evaluated the number of codes utilized for spine-related conditions before versus after the transition to ICD-10. METHODS: The numbers of patients with an index encounter for a primary spine-related non-deformity diagnosis codes indexed as “dorsopathies” were abstracted from the Humana PearlDiver dataset. As the transition from ICD-9 to ICD-10 occurred in 2015, the current study compared the year prior (ICD-9) to the year after (ICD-10). The number of ICD-9 and ICD-10 codes was assessed, and distribution of utilization was compared using the Kolmogorov-Smirnov test. RESULTS: In 2014, 848,623 patients were assigned one of the 100 unique ICD-9 dorsopathy codes, of which 17 codes (17% of available codes) were used for more than 1% of the patients. In 2016, 840,310 patients were assigned one of the 504 unique ICD-10 dorsopathy codes, of which 21 (4% of available codes) were used for more than 1% of the patients. The top 20 codes in 2014 (ICD-9) and the top 20 codes in 2016 (ICD-10) both represented the majority of the patient population and were not statistically differently represented (p = 0.819). Further, analysis of ICD-10 codes demonstrated a clear bias toward utilizing less specified codes. CONCLUSIONS: Despite a five-fold increase in available diagnostic codes for spine conditions in ICD-10, in the year after implementation providers continued to select a small proportion of less specific diagnostic codes when treating spine patients.
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spelling pubmed-88200492022-02-08 Spine coding transition from ICD-9 to ICD-10: Not taking advantage of the specificity of a more granular system Sabatino, Matthew J. Burroughs, Patrick J. Moore, Harold G. Grauer, Jonathan N. N Am Spine Soc J Clinical Studies BACKGROUND: The transition from International Classification of Diseases, 9th Edition (ICD-9) to the 10th edition (ICD-10) in 2015 increased the number and specificity of diagnostic codes with the goal of facilitating clinical care and research possibilities. Considering the potential to default to less specified ICD-10 codes, the current study evaluated the number of codes utilized for spine-related conditions before versus after the transition to ICD-10. METHODS: The numbers of patients with an index encounter for a primary spine-related non-deformity diagnosis codes indexed as “dorsopathies” were abstracted from the Humana PearlDiver dataset. As the transition from ICD-9 to ICD-10 occurred in 2015, the current study compared the year prior (ICD-9) to the year after (ICD-10). The number of ICD-9 and ICD-10 codes was assessed, and distribution of utilization was compared using the Kolmogorov-Smirnov test. RESULTS: In 2014, 848,623 patients were assigned one of the 100 unique ICD-9 dorsopathy codes, of which 17 codes (17% of available codes) were used for more than 1% of the patients. In 2016, 840,310 patients were assigned one of the 504 unique ICD-10 dorsopathy codes, of which 21 (4% of available codes) were used for more than 1% of the patients. The top 20 codes in 2014 (ICD-9) and the top 20 codes in 2016 (ICD-10) both represented the majority of the patient population and were not statistically differently represented (p = 0.819). Further, analysis of ICD-10 codes demonstrated a clear bias toward utilizing less specified codes. CONCLUSIONS: Despite a five-fold increase in available diagnostic codes for spine conditions in ICD-10, in the year after implementation providers continued to select a small proportion of less specific diagnostic codes when treating spine patients. Elsevier 2020-10-31 /pmc/articles/PMC8820049/ /pubmed/35141603 http://dx.doi.org/10.1016/j.xnsj.2020.100035 Text en Published by Elsevier Ltd on behalf of North American Spine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Clinical Studies
Sabatino, Matthew J.
Burroughs, Patrick J.
Moore, Harold G.
Grauer, Jonathan N.
Spine coding transition from ICD-9 to ICD-10: Not taking advantage of the specificity of a more granular system
title Spine coding transition from ICD-9 to ICD-10: Not taking advantage of the specificity of a more granular system
title_full Spine coding transition from ICD-9 to ICD-10: Not taking advantage of the specificity of a more granular system
title_fullStr Spine coding transition from ICD-9 to ICD-10: Not taking advantage of the specificity of a more granular system
title_full_unstemmed Spine coding transition from ICD-9 to ICD-10: Not taking advantage of the specificity of a more granular system
title_short Spine coding transition from ICD-9 to ICD-10: Not taking advantage of the specificity of a more granular system
title_sort spine coding transition from icd-9 to icd-10: not taking advantage of the specificity of a more granular system
topic Clinical Studies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820049/
https://www.ncbi.nlm.nih.gov/pubmed/35141603
http://dx.doi.org/10.1016/j.xnsj.2020.100035
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