Literature DB >> 26334522

The knowledge value-chain of genetic counseling for breast cancer: an empirical assessment of prediction and communication processes.

Nabil Amara1, Jolyane Blouin-Bougie2, Jalila Jbilou3, Norrin Halilem4, Jacques Simard5, Réjean Landry6.   

Abstract

The aim of this paper is twofold: to analyze the genetic counseling process for breast cancer with a theoretical knowledge transfer lens and to compare generalists, medical specialists, and genetic counselors with regards to their genetic counseling practices. This paper presents the genetic counseling process occurring within a chain of value-adding activities of four main stages describing health professionals' clinical practices: (1) evaluation, (2) investigation, (3) information, and (4) decision. It also presents the results of a cross-sectional study based on a Canadian medical doctors and genetic counselors survey (n = 176) realized between July 2012 and March 2013. The statistical exercise included descriptive statistics, one-way ANOVA and post-hoc tests. The results indicate that even though all types of health professionals are involved in the entire process of genetic counseling for breast cancer, genetic counselors are more involved in the evaluation of breast cancer risk, while medical doctors are more active in the decision toward breast cancer risk management strategies. The results secondly demonstrate the relevance and the key role of genetic counselors in the care provided to women at-risk of familial breast cancer. This paper presents an integrative framework to understand the current process of genetic counseling for breast cancer in Canada, and to shed light on how and where health professionals contribute to the process. It also offers a starting point for assessing clinical practices in genetic counseling in order to establish more clearly where and to what extent efforts should be undertaken to implement future genetic services.

Entities:  

Keywords:  Canadian health care providers; Familial breast cancer; Genetic counseling; Knowledge management; Knowledge value chain; Risk communication; Risk prediction

Mesh:

Year:  2016        PMID: 26334522     DOI: 10.1007/s10689-015-9835-7

Source DB:  PubMed          Journal:  Fam Cancer        ISSN: 1389-9600            Impact factor:   2.375


  67 in total

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Authors:  Laura E Forrest; Martin B Delatycki; Loane Skene; MaryAnne Aitken
Journal:  Eur J Hum Genet       Date:  2007-03-28       Impact factor: 4.246

Review 2.  Applying the 2011 Canadian guidelines for breast cancer screening in practice.

Authors:  Ellen Warner; Ruth Heisey; June C Carroll
Journal:  CMAJ       Date:  2012-09-10       Impact factor: 8.262

Review 3.  Assessing women at high risk of breast cancer: a review of risk assessment models.

Authors:  Eitan Amir; Orit C Freedman; Bostjan Seruga; D Gareth Evans
Journal:  J Natl Cancer Inst       Date:  2010-04-28       Impact factor: 13.506

4.  Reported referral for genetic counseling or BRCA 1/2 testing among United States physicians: a vignette-based study.

Authors:  Katrina F Trivers; Laura-Mae Baldwin; Jacqueline W Miller; Barbara Matthews; C Holly A Andrilla; Denise M Lishner; Barbara A Goff
Journal:  Cancer       Date:  2011-07-25       Impact factor: 6.860

Review 5.  Application of breast cancer risk prediction models in clinical practice.

Authors:  Susan M Domchek; Andrea Eisen; Kathleen Calzone; Jill Stopfer; Anne Blackwood; Barbara L Weber
Journal:  J Clin Oncol       Date:  2003-02-15       Impact factor: 44.544

Review 6.  Psychological impact of genetic counseling for familial cancer: a systematic review and meta-analysis.

Authors:  Dejana Braithwaite; Jon Emery; Fiona Walter; A Toby Prevost; Stephen Sutton
Journal:  J Natl Cancer Inst       Date:  2004-01-21       Impact factor: 13.506

7.  UK clinicians' knowledge of and attitudes to the prenatal diagnosis of single gene disorders.

Authors:  H V Firth; R H Lindenbaum
Journal:  J Med Genet       Date:  1992-01       Impact factor: 6.318

8.  Diffusion of breast cancer risk assessment in primary care.

Authors:  Carmen E Guerra; Melani Sherman; Katrina Armstrong
Journal:  J Am Board Fam Med       Date:  2009 May-Jun       Impact factor: 2.657

9.  Evaluation of a breast/ovarian cancer genetics referral screening tool in a mammography population.

Authors:  Cecelia A Bellcross; Amy A Lemke; Laura S Pape; Angela L Tess; Lorraine T Meisner
Journal:  Genet Med       Date:  2009-11       Impact factor: 8.822

10.  Tailoring communication in consultations with women from high risk breast cancer families.

Authors:  E A Lobb; P N Butow; B Meiser; A Barratt; C Gaff; M A Young; J Kirk; G K Suthers; K Tucker
Journal:  Br J Cancer       Date:  2002-08-27       Impact factor: 7.640

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  5 in total

Review 1.  Primary care providers' cancer genetic testing-related knowledge, attitudes, and communication behaviors: A systematic review and research agenda.

Authors:  Jada G Hamilton; Ekland Abdiwahab; Heather M Edwards; Min-Lin Fang; Andrew Jdayani; Erica S Breslau
Journal:  J Gen Intern Med       Date:  2016-12-19       Impact factor: 5.128

Review 2.  The composition and capacity of the clinical genetics workforce in high-income countries: a scoping review.

Authors:  Nick Dragojlovic; Kennedy Borle; Nicola Kopac; Ursula Ellis; Patricia Birch; Shelin Adam; Jan M Friedman; Amy Nisselle; Alison M Elliott; Larry D Lynd
Journal:  Genet Med       Date:  2020-06-24       Impact factor: 8.822

3.  Impact of a genetic counseling requirement prior to genetic testing.

Authors:  David D Stenehjem; Trang Au; Amy M Sainski; Hillevi Bauer; Krystal Brown; Johnathan Lancaster; Vanessa Stevens; Diana I Brixner
Journal:  BMC Health Serv Res       Date:  2018-03-07       Impact factor: 2.655

4.  Disentangling the determinants of interest and willingness-to-pay for breast cancer susceptibility testing in the general population: a cross-sectional Web-based survey among women of Québec (Canada).

Authors:  Jolyane Blouin-Bougie; Nabil Amara; Karine Bouchard; Jacques Simard; Michel Dorval
Journal:  BMJ Open       Date:  2018-02-27       Impact factor: 2.692

5.  Breast Cancer Risk Estimation and Personal Insurance: A Qualitative Study Presenting Perspectives from Canadian Patients and Decision Makers.

Authors:  Gratien Dalpé; Ida Ngueng Feze; Shahad Salman; Yann Joly; Julie Hagan; Emmanuelle Lévesque; Véronique Dorval; Jolyane Blouin-Bougie; Nabil Amara; Michel Dorval; Jacques Simard
Journal:  Front Genet       Date:  2017-09-21       Impact factor: 4.599

  5 in total

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