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Statewide trends and factors associated with genetic testing for hereditary cancer risk in Arkansas 2013–2018
BACKGROUND: Early identification of hereditary cancer risk would save lives, but genetic testing (GT) has been inadequate. We assessed i) trends for hereditary breast and ovarian cancer (HBOC), Lynch syndrome, and other GT and ii) factors associated with receipt of GT. METHODS: We used data from the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128197/ https://www.ncbi.nlm.nih.gov/pubmed/35606835 http://dx.doi.org/10.1186/s13053-022-00226-0 |
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author | Acharya, Mahip Zorn, Kristin K. Simonson, Melinda E. Bimali, Milan Moore, Gary W. Peng, Cheng Martin, Bradley C. |
author_facet | Acharya, Mahip Zorn, Kristin K. Simonson, Melinda E. Bimali, Milan Moore, Gary W. Peng, Cheng Martin, Bradley C. |
author_sort | Acharya, Mahip |
collection | PubMed |
description | BACKGROUND: Early identification of hereditary cancer risk would save lives, but genetic testing (GT) has been inadequate. We assessed i) trends for hereditary breast and ovarian cancer (HBOC), Lynch syndrome, and other GT and ii) factors associated with receipt of GT. METHODS: We used data from the Arkansas All-Payer Claims Database from January 2013 through June 2018 (commercial, Medicaid), December 2017 (state employee), or December 2016 (Medicare) and identified enrollees with ≥1 month of enrollment. Using Current Procedural Terminology (CPT-4) codes, rates for GT were calculated per 100,000 person-quarters and time series regressions estimated. Second, GT and covariate information for enrollees with 24 months of continuous enrollment were used to estimate separate logistic regression models for each GT category. RESULTS: Among 2,520,575 unique enrollees, HBOC testing rates were 2.2 (Medicaid), 22.0 (commercial), 40.4 (state employee), and 13.1(Medicare) per 100,000 person-quarters and increased linearly across all plans. Older age (OR=1.24; 95%CI 1.20 – 1.28), female sex (OR=18.91; 95%CI 13.01 – 28.86), higher comorbidity burden (OR=1.08; 95%CI 1.05 – 1.12), mental disorders (OR=1.53; 95%CI 1.15 – 2.00), and state employee coverage (OR=1.65; 95%CI 1.37 – 1.97) were positively associated with HBOC testing. Less than 1 of 10,000 enrollees received Lynch syndrome testing, while < 5 of 10,000 received HBOC testing. CONCLUSION: GT rates for hereditary cancer syndromes have increased in Arkansas but remain low. Receipt of GT was explained with high discrimination by sex and plan type. IMPACT: Expansion of GT for hereditary cancer risk in Arkansas is needed to identify high-risk individuals who could benefit from risk-reduction strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13053-022-00226-0. |
format | Online Article Text |
id | pubmed-9128197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91281972022-05-25 Statewide trends and factors associated with genetic testing for hereditary cancer risk in Arkansas 2013–2018 Acharya, Mahip Zorn, Kristin K. Simonson, Melinda E. Bimali, Milan Moore, Gary W. Peng, Cheng Martin, Bradley C. Hered Cancer Clin Pract Research BACKGROUND: Early identification of hereditary cancer risk would save lives, but genetic testing (GT) has been inadequate. We assessed i) trends for hereditary breast and ovarian cancer (HBOC), Lynch syndrome, and other GT and ii) factors associated with receipt of GT. METHODS: We used data from the Arkansas All-Payer Claims Database from January 2013 through June 2018 (commercial, Medicaid), December 2017 (state employee), or December 2016 (Medicare) and identified enrollees with ≥1 month of enrollment. Using Current Procedural Terminology (CPT-4) codes, rates for GT were calculated per 100,000 person-quarters and time series regressions estimated. Second, GT and covariate information for enrollees with 24 months of continuous enrollment were used to estimate separate logistic regression models for each GT category. RESULTS: Among 2,520,575 unique enrollees, HBOC testing rates were 2.2 (Medicaid), 22.0 (commercial), 40.4 (state employee), and 13.1(Medicare) per 100,000 person-quarters and increased linearly across all plans. Older age (OR=1.24; 95%CI 1.20 – 1.28), female sex (OR=18.91; 95%CI 13.01 – 28.86), higher comorbidity burden (OR=1.08; 95%CI 1.05 – 1.12), mental disorders (OR=1.53; 95%CI 1.15 – 2.00), and state employee coverage (OR=1.65; 95%CI 1.37 – 1.97) were positively associated with HBOC testing. Less than 1 of 10,000 enrollees received Lynch syndrome testing, while < 5 of 10,000 received HBOC testing. CONCLUSION: GT rates for hereditary cancer syndromes have increased in Arkansas but remain low. Receipt of GT was explained with high discrimination by sex and plan type. IMPACT: Expansion of GT for hereditary cancer risk in Arkansas is needed to identify high-risk individuals who could benefit from risk-reduction strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13053-022-00226-0. BioMed Central 2022-05-23 /pmc/articles/PMC9128197/ /pubmed/35606835 http://dx.doi.org/10.1186/s13053-022-00226-0 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 Acharya, Mahip Zorn, Kristin K. Simonson, Melinda E. Bimali, Milan Moore, Gary W. Peng, Cheng Martin, Bradley C. Statewide trends and factors associated with genetic testing for hereditary cancer risk in Arkansas 2013–2018 |
title | Statewide trends and factors associated with genetic testing for hereditary cancer risk in Arkansas 2013–2018 |
title_full | Statewide trends and factors associated with genetic testing for hereditary cancer risk in Arkansas 2013–2018 |
title_fullStr | Statewide trends and factors associated with genetic testing for hereditary cancer risk in Arkansas 2013–2018 |
title_full_unstemmed | Statewide trends and factors associated with genetic testing for hereditary cancer risk in Arkansas 2013–2018 |
title_short | Statewide trends and factors associated with genetic testing for hereditary cancer risk in Arkansas 2013–2018 |
title_sort | statewide trends and factors associated with genetic testing for hereditary cancer risk in arkansas 2013–2018 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128197/ https://www.ncbi.nlm.nih.gov/pubmed/35606835 http://dx.doi.org/10.1186/s13053-022-00226-0 |
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