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Electronic health records contain dispersed risk factor information that could be used to prevent breast and ovarian cancer
OBJECTIVE: The genetic testing for hereditary breast cancer that is most helpful in high-risk women is underused. Our objective was to quantify the risk factors for heritable breast and ovarian cancer contained in the electronic health record (EHR), to determine how many women meet national guidelin...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526466/ https://www.ncbi.nlm.nih.gov/pubmed/32940694 http://dx.doi.org/10.1093/jamia/ocaa152 |
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author | Payne, Thomas H Zhao, Lue Ping Le, Calvin Wilcox, Peter Yi, Troy Hinshaw, Jesse Hussey, Duncan Kostrinsky-Thomas, Alex Hale, Malika Brimm, John Hisama, Fuki M |
author_facet | Payne, Thomas H Zhao, Lue Ping Le, Calvin Wilcox, Peter Yi, Troy Hinshaw, Jesse Hussey, Duncan Kostrinsky-Thomas, Alex Hale, Malika Brimm, John Hisama, Fuki M |
author_sort | Payne, Thomas H |
collection | PubMed |
description | OBJECTIVE: The genetic testing for hereditary breast cancer that is most helpful in high-risk women is underused. Our objective was to quantify the risk factors for heritable breast and ovarian cancer contained in the electronic health record (EHR), to determine how many women meet national guidelines for referral to a cancer genetics professional but have no record of a referral. METHODS AND MATERIALS: We reviewed EHR records of a random sample of women to determine the presence and location of risk-factor information meeting National Comprehensive Cancer Network (NCCN) guidelines for a further genetic risk evaluation for breast and/or ovarian cancer, and determine whether the women were referred for such an evaluation. RESULTS: A thorough review of the EHR records of 299 women revealed that 24 (8%) met the NCCN criteria for referral for a further genetic risk evaluation; of these, 12 (50%) had no referral to a medical genetics clinic. CONCLUSIONS: Half of the women whose EHR records contain risk-factor information meeting the criteria for further genetic risk evaluation for heritable forms of breast and ovarian cancer were not referred. |
format | Online Article Text |
id | pubmed-7526466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-75264662020-10-07 Electronic health records contain dispersed risk factor information that could be used to prevent breast and ovarian cancer Payne, Thomas H Zhao, Lue Ping Le, Calvin Wilcox, Peter Yi, Troy Hinshaw, Jesse Hussey, Duncan Kostrinsky-Thomas, Alex Hale, Malika Brimm, John Hisama, Fuki M J Am Med Inform Assoc Brief Communications OBJECTIVE: The genetic testing for hereditary breast cancer that is most helpful in high-risk women is underused. Our objective was to quantify the risk factors for heritable breast and ovarian cancer contained in the electronic health record (EHR), to determine how many women meet national guidelines for referral to a cancer genetics professional but have no record of a referral. METHODS AND MATERIALS: We reviewed EHR records of a random sample of women to determine the presence and location of risk-factor information meeting National Comprehensive Cancer Network (NCCN) guidelines for a further genetic risk evaluation for breast and/or ovarian cancer, and determine whether the women were referred for such an evaluation. RESULTS: A thorough review of the EHR records of 299 women revealed that 24 (8%) met the NCCN criteria for referral for a further genetic risk evaluation; of these, 12 (50%) had no referral to a medical genetics clinic. CONCLUSIONS: Half of the women whose EHR records contain risk-factor information meeting the criteria for further genetic risk evaluation for heritable forms of breast and ovarian cancer were not referred. Oxford University Press 2020-09-17 /pmc/articles/PMC7526466/ /pubmed/32940694 http://dx.doi.org/10.1093/jamia/ocaa152 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Brief Communications Payne, Thomas H Zhao, Lue Ping Le, Calvin Wilcox, Peter Yi, Troy Hinshaw, Jesse Hussey, Duncan Kostrinsky-Thomas, Alex Hale, Malika Brimm, John Hisama, Fuki M Electronic health records contain dispersed risk factor information that could be used to prevent breast and ovarian cancer |
title | Electronic health records contain dispersed risk factor information that could be used to prevent breast and ovarian cancer |
title_full | Electronic health records contain dispersed risk factor information that could be used to prevent breast and ovarian cancer |
title_fullStr | Electronic health records contain dispersed risk factor information that could be used to prevent breast and ovarian cancer |
title_full_unstemmed | Electronic health records contain dispersed risk factor information that could be used to prevent breast and ovarian cancer |
title_short | Electronic health records contain dispersed risk factor information that could be used to prevent breast and ovarian cancer |
title_sort | electronic health records contain dispersed risk factor information that could be used to prevent breast and ovarian cancer |
topic | Brief Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526466/ https://www.ncbi.nlm.nih.gov/pubmed/32940694 http://dx.doi.org/10.1093/jamia/ocaa152 |
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