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Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices
BACKGROUND: Germline genetic testing is recommended by the National Comprehensive Cancer Network (NCCN) for individuals including, but not limited to, those with a personal history of ovarian cancer, young-onset (< 50 years) breast cancer, and a family history of ovarian cancer or male breast can...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629034/ https://www.ncbi.nlm.nih.gov/pubmed/37932730 http://dx.doi.org/10.1186/s13012-023-01308-w |
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author | Symecko, Heather Schnoll, Robert Beidas, Rinad S. Bekelman, Justin E. Blumenthal, Daniel Bauer, Anna-Marika Gabriel, Peter Boisseau, Leland Doucette, Abigail Powers, Jacquelyn Cappadocia, Jacqueline McKenna, Danielle B. Richardville, Robert Cuff, Lauren Offer, Ryan Clement, Elizabeth G. Buttenheim, Alison M. Asch, David A. Rendle, Katharine A. Shelton, Rachel C. Fayanju, Oluwadamilola M. Wileyto, E. Paul Plag, Martina Ware, Sue Shulman, Lawrence N. Nathanson, Katherine L. Domchek, Susan M. |
author_facet | Symecko, Heather Schnoll, Robert Beidas, Rinad S. Bekelman, Justin E. Blumenthal, Daniel Bauer, Anna-Marika Gabriel, Peter Boisseau, Leland Doucette, Abigail Powers, Jacquelyn Cappadocia, Jacqueline McKenna, Danielle B. Richardville, Robert Cuff, Lauren Offer, Ryan Clement, Elizabeth G. Buttenheim, Alison M. Asch, David A. Rendle, Katharine A. Shelton, Rachel C. Fayanju, Oluwadamilola M. Wileyto, E. Paul Plag, Martina Ware, Sue Shulman, Lawrence N. Nathanson, Katherine L. Domchek, Susan M. |
author_sort | Symecko, Heather |
collection | PubMed |
description | BACKGROUND: Germline genetic testing is recommended by the National Comprehensive Cancer Network (NCCN) for individuals including, but not limited to, those with a personal history of ovarian cancer, young-onset (< 50 years) breast cancer, and a family history of ovarian cancer or male breast cancer. Genetic testing is underused overall, and rates are consistently lower among Black and Hispanic populations. Behavioral economics-informed implementation strategies, or nudges, directed towards patients and clinicians may increase the use of this evidence-based clinical practice. METHODS: Patients meeting eligibility for germline genetic testing for breast and ovarian cancer will be identified using electronic phenotyping algorithms. A pragmatic cohort study will test three sequential strategies to promote genetic testing, two directed at patients and one directed at clinicians, deployed in the electronic health record (EHR) for patients in OB-GYN clinics across a diverse academic medical center. We will use rapid cycle approaches informed by relevant clinician and patient experiences, health equity, and behavioral economics to optimize and de-risk our strategies and methods before trial initiation. Step 1 will send patients messages through the health system patient portal. For non-responders, step 2 will reach out to patients via text message. For non-responders, Step 3 will contact patients’ clinicians using a novel “pend and send” tool in the EHR. The primary implementation outcome is engagement with germline genetic testing for breast and ovarian cancer predisposition, defined as a scheduled genetic counseling appointment. Patient data collected through the EHR (e.g., race/ethnicity, geocoded address) will be examined as moderators of the impact of the strategies. DISCUSSION: This study will be one of the first to sequentially examine the effects of patient- and clinician-directed strategies informed by behavioral economics on engagement with breast and ovarian cancer genetic testing. The pragmatic and sequential design will facilitate a large and diverse patient sample, allow for the assessment of incremental gains from different implementation strategies, and permit the assessment of moderators of strategy effectiveness. The findings may help determine the impact of low-cost, highly transportable implementation strategies that can be integrated into healthcare systems to improve the use of genomic medicine. TRIAL REGISTRATION: ClinicalTrials.gov. NCT05721326. Registered February 10, 2023. https://www.clinicaltrials.gov/study/NCT05721326 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13012-023-01308-w. |
format | Online Article Text |
id | pubmed-10629034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106290342023-11-08 Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices Symecko, Heather Schnoll, Robert Beidas, Rinad S. Bekelman, Justin E. Blumenthal, Daniel Bauer, Anna-Marika Gabriel, Peter Boisseau, Leland Doucette, Abigail Powers, Jacquelyn Cappadocia, Jacqueline McKenna, Danielle B. Richardville, Robert Cuff, Lauren Offer, Ryan Clement, Elizabeth G. Buttenheim, Alison M. Asch, David A. Rendle, Katharine A. Shelton, Rachel C. Fayanju, Oluwadamilola M. Wileyto, E. Paul Plag, Martina Ware, Sue Shulman, Lawrence N. Nathanson, Katherine L. Domchek, Susan M. Implement Sci Study Protocol BACKGROUND: Germline genetic testing is recommended by the National Comprehensive Cancer Network (NCCN) for individuals including, but not limited to, those with a personal history of ovarian cancer, young-onset (< 50 years) breast cancer, and a family history of ovarian cancer or male breast cancer. Genetic testing is underused overall, and rates are consistently lower among Black and Hispanic populations. Behavioral economics-informed implementation strategies, or nudges, directed towards patients and clinicians may increase the use of this evidence-based clinical practice. METHODS: Patients meeting eligibility for germline genetic testing for breast and ovarian cancer will be identified using electronic phenotyping algorithms. A pragmatic cohort study will test three sequential strategies to promote genetic testing, two directed at patients and one directed at clinicians, deployed in the electronic health record (EHR) for patients in OB-GYN clinics across a diverse academic medical center. We will use rapid cycle approaches informed by relevant clinician and patient experiences, health equity, and behavioral economics to optimize and de-risk our strategies and methods before trial initiation. Step 1 will send patients messages through the health system patient portal. For non-responders, step 2 will reach out to patients via text message. For non-responders, Step 3 will contact patients’ clinicians using a novel “pend and send” tool in the EHR. The primary implementation outcome is engagement with germline genetic testing for breast and ovarian cancer predisposition, defined as a scheduled genetic counseling appointment. Patient data collected through the EHR (e.g., race/ethnicity, geocoded address) will be examined as moderators of the impact of the strategies. DISCUSSION: This study will be one of the first to sequentially examine the effects of patient- and clinician-directed strategies informed by behavioral economics on engagement with breast and ovarian cancer genetic testing. The pragmatic and sequential design will facilitate a large and diverse patient sample, allow for the assessment of incremental gains from different implementation strategies, and permit the assessment of moderators of strategy effectiveness. The findings may help determine the impact of low-cost, highly transportable implementation strategies that can be integrated into healthcare systems to improve the use of genomic medicine. TRIAL REGISTRATION: ClinicalTrials.gov. NCT05721326. Registered February 10, 2023. https://www.clinicaltrials.gov/study/NCT05721326 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13012-023-01308-w. BioMed Central 2023-11-06 /pmc/articles/PMC10629034/ /pubmed/37932730 http://dx.doi.org/10.1186/s13012-023-01308-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Study Protocol Symecko, Heather Schnoll, Robert Beidas, Rinad S. Bekelman, Justin E. Blumenthal, Daniel Bauer, Anna-Marika Gabriel, Peter Boisseau, Leland Doucette, Abigail Powers, Jacquelyn Cappadocia, Jacqueline McKenna, Danielle B. Richardville, Robert Cuff, Lauren Offer, Ryan Clement, Elizabeth G. Buttenheim, Alison M. Asch, David A. Rendle, Katharine A. Shelton, Rachel C. Fayanju, Oluwadamilola M. Wileyto, E. Paul Plag, Martina Ware, Sue Shulman, Lawrence N. Nathanson, Katherine L. Domchek, Susan M. Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices |
title | Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices |
title_full | Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices |
title_fullStr | Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices |
title_full_unstemmed | Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices |
title_short | Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices |
title_sort | protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629034/ https://www.ncbi.nlm.nih.gov/pubmed/37932730 http://dx.doi.org/10.1186/s13012-023-01308-w |
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