Evaluation of a Genetic Counseling Aid for Hereditary Breast and Ovarian Cancer

Author(s):  
Deborah Cragun ◽  
Lucia Camperlengo ◽  
Emily Robinson ◽  
Pauleena Pal ◽  
Jongphil Kim ◽  
...  
Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2729
Author(s):  
Julie Lapointe ◽  
Michel Dorval ◽  
Jocelyne Chiquette ◽  
Yann Joly ◽  
Jason Robert Guertin ◽  
...  

Medical genetic services are facing an unprecedented demand for counseling and testing for hereditary breast and ovarian cancer (HBOC) in a context of limited resources. To help resolve this issue, a collaborative oncogenetic model was recently developed and implemented at the CHU de Québec-Université Laval; Quebec; Canada. Here, we present the protocol of the C-MOnGene (Collaborative Model in OncoGenetics) study, funded to examine the context in which the model was implemented and document the lessons that can be learned to optimize the delivery of oncogenetic services. Within three years of implementation, the model allowed researchers to double the annual number of patients seen in genetic counseling. The average number of days between genetic counseling and disclosure of test results significantly decreased. Group counseling sessions improved participants’ understanding of breast cancer risk and increased knowledge of breast cancer and genetics and a large majority of them reported to be overwhelmingly satisfied with the process. These quality and performance indicators suggest this oncogenetic model offers a flexible, patient-centered and efficient genetic counseling and testing for HBOC. By identifying the critical facilitating factors and barriers, our study will provide an evidence base for organizations interested in transitioning to an oncogenetic model integrated into oncology care; including teams that are not specialized but are trained in genetics.


2018 ◽  
Vol 10 (2) ◽  
pp. 337-346 ◽  
Author(s):  
Mary Kathleen Ladd ◽  
Beth N Peshkin ◽  
Leigha Senter ◽  
Shari Baldinger ◽  
Claudine Isaacs ◽  
...  

Abstract Risk-reducing mastectomy (RRM) and salpingo-oophorectomy (RRSO) are increasingly used to reduce breast and ovarian cancer risk following BRCA1/BRCA2 testing. However, little is known about how genetic counseling influences decisions about these surgeries. Although previous studies have examined intentions prior to counseling, few have examined RRM and RRSO intentions in the critical window between genetic counseling and test result disclosure. Previous research has indicated that intentions at this time point predict subsequent uptake of surgery, suggesting that much decision-making has taken place prior to result disclosure. This period may be a critical time to better understand the drivers of prophylactic surgery intentions. The aim of this study was to examine predictors of RRM and RRSO intentions. We hypothesized that variables from the Health Belief Model would predict intentions, and we also examined the role of affective factors. Participants were 187 women, age 21–75, who received genetic counseling for hereditary breast and ovarian cancer. We utilized multiple logistic regression to identify independent predictors of intentions. 49.2% and 61.3% of participants reported intentions for RRM and RRSO, respectively. Variables associated with RRM intentions include: newly diagnosed with breast cancer (OR = 3.63, 95% CI = 1.20–11.04), perceived breast cancer risk (OR = 1.46, 95% CI = 1.17–1.81), perceived pros (OR = 1.79, 95% CI = 1.38–2.32) and cons of RRM (OR = 0.81, 95% CI = 0.65–0.996), and decision conflict (OR = 0.80, 95% CI = 0.66–0.98). Variables associated with RRSO intentions include: proband status (OR = 0.28, 95% CI = 0.09–0.89), perceived pros (OR = 1.35, 95% CI = 1.11–1.63) and cons of RRSO (OR = 0.72, 95% CI = 0.59–0.89), and ambiguity aversion (OR = 0.79, 95% CI = 0.65–0.95). These data provide support for the role of genetic counseling in fostering informed decisions about risk management, and suggest that the role of uncertainty should be explored further.


PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0200559
Author(s):  
Muy-Kheng M. Tea ◽  
Yen Y. Tan ◽  
Christine Staudigl ◽  
Birgit Eibl ◽  
Romana Renz ◽  
...  

2017 ◽  
Vol 27 (2) ◽  
pp. 261-275 ◽  
Author(s):  
Hiroko Terui-Kohbata ◽  
Junko Yotsumoto ◽  
Miho Aoki ◽  
Yoko Oishi ◽  
Nobuyuki Uchida ◽  
...  

2019 ◽  
Vol 11 (1) ◽  
pp. 85-99 ◽  
Author(s):  
Alejandra Hurtado-de-Mendoza ◽  
Kristi D. Graves ◽  
Sara Gómez-Trillos ◽  
Minna Song ◽  
Lyndsay Anderson ◽  
...  

2009 ◽  
Vol 18 (1) ◽  
pp. 87-100 ◽  
Author(s):  
Yolanda Ridge ◽  
Karen Panabaker ◽  
Mary McCullum ◽  
Cheryl Portigal-Todd ◽  
Jenna Scott ◽  
...  

1997 ◽  
Vol 6 (1) ◽  
pp. 45-60 ◽  
Author(s):  
Josephine Green ◽  
Martin Richards ◽  
Frances Murton ◽  
Helen Statham ◽  
Nina Hallowell

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