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Genetic testing utilization for patients with neurologic disease and the limitations of claims data

OBJECTIVE: To determine the utilization of genetic testing in patients seen by a neurologist within a large private insurance population. METHODS: Using the Optum health care claims database, we identified a cross-sectional cohort of patients who had been evaluated by a neurologist no more than 30 d...

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Autores principales: Mackenzie, Samuel J., Lin, Chun Chieh, Todd, Peter K., Burke, James F., Callaghan, Brian C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061285/
https://www.ncbi.nlm.nih.gov/pubmed/32185241
http://dx.doi.org/10.1212/NXG.0000000000000405
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author Mackenzie, Samuel J.
Lin, Chun Chieh
Todd, Peter K.
Burke, James F.
Callaghan, Brian C.
author_facet Mackenzie, Samuel J.
Lin, Chun Chieh
Todd, Peter K.
Burke, James F.
Callaghan, Brian C.
author_sort Mackenzie, Samuel J.
collection PubMed
description OBJECTIVE: To determine the utilization of genetic testing in patients seen by a neurologist within a large private insurance population. METHODS: Using the Optum health care claims database, we identified a cross-sectional cohort of patients who had been evaluated by a neurologist no more than 30 days before initial genetic testing. Within this group, we then categorized genetic testing between 2014 and 2016 on the basis of the Current Procedural Terminology (CPT) codes related to molecular and genetic testing. We also evaluated the International Classification of Disease Version 9 Clinical Code Classifications (ICD-9 CCS) associated with testing. RESULTS: From 2014 to 2016, a total of 45,014 claims were placed for 29,951 patients who had been evaluated by a neurologist within the preceding 30 days. Of these, 29,926 (66.5%) were associated with codes that were too nonspecific to infer what test was actually performed. Among those claims where the test was clearly identifiable, 7,307 (16.2%) were likely obtained for purposes of neurologic diagnosis, whereas the remainder (17.2%) was obtained for non-neurological purposes. An additional 3,793 claims (8.4%) wherein the test ordered could not be clearly identified were associated with a neurology-related ICD-9 CCS. CONCLUSIONS: Accurate assessment of genetic testing utilization using claims data is not possible given the high prevalence of nonspecific codes. Reducing the ambiguity surrounding the CPT codes and the actual testing performed will become even more important as more genetic tests become available.
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spelling pubmed-70612852020-03-17 Genetic testing utilization for patients with neurologic disease and the limitations of claims data Mackenzie, Samuel J. Lin, Chun Chieh Todd, Peter K. Burke, James F. Callaghan, Brian C. Neurol Genet Article OBJECTIVE: To determine the utilization of genetic testing in patients seen by a neurologist within a large private insurance population. METHODS: Using the Optum health care claims database, we identified a cross-sectional cohort of patients who had been evaluated by a neurologist no more than 30 days before initial genetic testing. Within this group, we then categorized genetic testing between 2014 and 2016 on the basis of the Current Procedural Terminology (CPT) codes related to molecular and genetic testing. We also evaluated the International Classification of Disease Version 9 Clinical Code Classifications (ICD-9 CCS) associated with testing. RESULTS: From 2014 to 2016, a total of 45,014 claims were placed for 29,951 patients who had been evaluated by a neurologist within the preceding 30 days. Of these, 29,926 (66.5%) were associated with codes that were too nonspecific to infer what test was actually performed. Among those claims where the test was clearly identifiable, 7,307 (16.2%) were likely obtained for purposes of neurologic diagnosis, whereas the remainder (17.2%) was obtained for non-neurological purposes. An additional 3,793 claims (8.4%) wherein the test ordered could not be clearly identified were associated with a neurology-related ICD-9 CCS. CONCLUSIONS: Accurate assessment of genetic testing utilization using claims data is not possible given the high prevalence of nonspecific codes. Reducing the ambiguity surrounding the CPT codes and the actual testing performed will become even more important as more genetic tests become available. Wolters Kluwer 2020-02-26 /pmc/articles/PMC7061285/ /pubmed/32185241 http://dx.doi.org/10.1212/NXG.0000000000000405 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Article
Mackenzie, Samuel J.
Lin, Chun Chieh
Todd, Peter K.
Burke, James F.
Callaghan, Brian C.
Genetic testing utilization for patients with neurologic disease and the limitations of claims data
title Genetic testing utilization for patients with neurologic disease and the limitations of claims data
title_full Genetic testing utilization for patients with neurologic disease and the limitations of claims data
title_fullStr Genetic testing utilization for patients with neurologic disease and the limitations of claims data
title_full_unstemmed Genetic testing utilization for patients with neurologic disease and the limitations of claims data
title_short Genetic testing utilization for patients with neurologic disease and the limitations of claims data
title_sort genetic testing utilization for patients with neurologic disease and the limitations of claims data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061285/
https://www.ncbi.nlm.nih.gov/pubmed/32185241
http://dx.doi.org/10.1212/NXG.0000000000000405
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