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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer
2020
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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. |
format | Online Article Text |
id | pubmed-7061285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer |
record_format | MEDLINE/PubMed |
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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