Literature DB >> 11180587

Proband family uptake of familial-genetic counselling.

L Hagoel1, S Dishon, R Almog, Z Silman, S Bisland-Becktell, G Rennert.   

Abstract

Familial-genetic counselling for breast/ovarian cancers is a process initiated by a proband, and designed for all her/his blood relatives. This study focused on family members' uptake of an invitation to participate in counselling as a function of proband and family determinants. Of 163 breast/ovarian syndrome families tested, 67 carrying one of the three known Jewish mutations were included. For both the proband and family members, demographic variables, cancer status, position in the family and type of referral (proband only) were examined. Eligible family members' uptake rate was 34%. Lower family uptake was associated with the proband having cancer, and/or being doctor-referred (vs self-referred). Individuals of either the proband's or older generations had lower uptake rates compared with family members of younger generations. Being a cancer patient or a first degree relative of either a cancer patient or the proband was related to higher uptake. The study results indicate that baseline information routinely gathered by counselling services can be useful in predicting uptake. Providing insight into complex barriers to genetic counselling, these results also suggest potential directions for interventions to improve uptake, thereby enhancing individuals' abilities to make informed decisions regarding issues such as genetic testing.

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Year:  2000        PMID: 11180587     DOI: 10.1002/1099-1611(200011/12)9:6<522::aid-pon492>3.0.co;2-s

Source DB:  PubMed          Journal:  Psychooncology        ISSN: 1057-9249            Impact factor:   3.894


  9 in total

1.  What do we tell the children? Contrasting the disclosure choices of two HD families regarding risk status and predictive genetic testing.

Authors:  Kathryn Holt
Journal:  J Genet Couns       Date:  2006-08       Impact factor: 2.537

Review 2.  Disparities in gynecologic cancer genetics evaluation.

Authors:  Emily M Hinchcliff; Erica M Bednar; Karen H Lu; J Alejandro Rauh-Hain
Journal:  Gynecol Oncol       Date:  2019-01-31       Impact factor: 5.482

3.  Use of a patient-entered family health history tool with decision support in primary care: impact of identification of increased risk patients on genetic counseling attendance.

Authors:  Adam H Buchanan; Carol A Christianson; Tiffany Himmel; Karen P Powell; Astrid Agbaje; Geoffrey S Ginsburg; Vincent C Henrich; Lori A Orlando
Journal:  J Genet Couns       Date:  2014-08-15       Impact factor: 2.537

4.  The use of family history questionnaires: an examination of genetic risk estimates and genetic testing eligibility in the non-responder population.

Authors:  Susan Randall Armel; Kara Hitchman; Kathryn Millar; Laura Zahavich; Rochelle Demsky; Joan Murphy; Barry Rosen
Journal:  J Genet Couns       Date:  2011-03-30       Impact factor: 2.537

Review 5.  Barriers and facilitators for cascade testing in genetic conditions: a systematic review.

Authors:  Swetha Srinivasan; Nae Yeon Won; W David Dotson; Sarah T Wright; Megan C Roberts
Journal:  Eur J Hum Genet       Date:  2020-09-18       Impact factor: 4.246

6.  Reading between the lines: a comparison of responders and non-responders to a family history questionnaire and implications for cancer genetic counselling.

Authors:  Julia H Appleby-Tagoe; William D Foulkes; Laura Palma
Journal:  J Genet Couns       Date:  2011-08-16       Impact factor: 2.537

7.  Uptake of predictive testing among relatives of BRCA1 and BRCA2 families: a multicenter study in northeastern Spain.

Authors:  Judit Sanz; Teresa Ramón y Cajal; Asunción Torres; Esther Darder; Neus Gadea; Angela Velasco; Daniel Fortuny; Consol López; David Fisas; Joan Brunet; M Carmen Alonso; Judith Balmaña
Journal:  Fam Cancer       Date:  2010-09       Impact factor: 2.375

8.  The impact of social roles on the experience of men in BRCA1/2 families: implications for counseling.

Authors:  Mary B Daly
Journal:  J Genet Couns       Date:  2008-08-08       Impact factor: 2.537

Review 9.  Gynecologic Cancer Risk and Genetics: Informing an Ideal Model of Gynecologic Cancer Prevention.

Authors:  Lauren C Tindale; Almira Zhantuyakova; Stephanie Lam; Michelle Woo; Janice S Kwon; Gillian E Hanley; Bartha Knoppers; Kasmintan A Schrader; Stuart J Peacock; Aline Talhouk; Trevor Dummer; Kelly Metcalfe; Nora Pashayan; William D Foulkes; Ranjit Manchanda; David Huntsman; Gavin Stuart; Jacques Simard; Lesa Dawson
Journal:  Curr Oncol       Date:  2022-06-30       Impact factor: 3.109

  9 in total

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