| Literature DB >> 34072979 |
Julie Lapointe1, Michel Dorval1,2,3, Jocelyne Chiquette1,4, Yann Joly5,6, Jason Robert Guertin1,7, Maude Laberge1,8,9, Jean Gekas4, Johanne Hébert2,10, Marie-Pascale Pomey11,12, Tania Cruz-Marino13, Omar Touhami13, Arnaud Blanchet Saint-Pierre14, Sylvain Gagnon13, Karine Bouchard1, Josée Rhéaume4, Karine Boisvert4, Claire Brousseau4, Lysanne Castonguay4, Sylvain Fortier4, Isabelle Gosselin4, Philippe Lachapelle4, Sabrina Lavoie4, Brigitte Poirier4, Marie-Claude Renaud4, Maria-Gabriela Ruizmangas4, Alexandra Sebastianelli4, Stéphane Roy4, Madeleine Côté4, Marie-Michelle Racine15, Marie-Claude Roy14, Nathalie Côté14, Carmen Brisson14, Nelson Charette14, Valérie Faucher13, Josianne Leblanc13, Marie-Ève Dubeau13, Marie Plante4, Christine Desbiens4, Martin Beaumont4, Jacques Simard1,16, Hermann Nabi1,7.
Abstract
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.Entities:
Keywords: breast and ovarian cancer; health services delivery; integrated knowledge translation; interdisciplinary research; oncogenetics; prevention; screening; treatment
Year: 2021 PMID: 34072979 DOI: 10.3390/cancers13112729
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639