Literature DB >> 15767527

Patients' resistance to risk information in genetic counseling for BRCA1/2.

Andrea D Gurmankin1, Susan Domchek, Jill Stopfer, Christina Fels, Katrina Armstrong.   

Abstract

BACKGROUND: Risk information from health care providers is relevant to and used in nearly all medical decisions. Patients often misunderstand their risks, yet little is known about the risk perception that patients derive from risk communications with health care providers. This study examines patients' risk perceptions following communication with health care providers during genetic counseling about the risks of breast cancer and BRCA1/2 mutations.
METHODS: A prospective, longitudinal study was conducted from October 2002 to February 2004 of women who received genetic counseling. The women completed a survey before their counseling and a telephone interview in the week after the counseling. Main outcome measures included change from precounseling in risk perception and accuracy of postcounseling risk perception (relative to actual risk information communicated).
RESULTS: A total of 108 women agreed to participate in the study. The women's postcounseling risk perceptions were significantly lower than their precounseling risk perceptions (breast cancer: 17%, P<.001; mutation: 13%, P<.001) but were significantly higher than the actual risk information communicated (breast cancer: 19%, P<.001; mutation: 24%, P<.001). Accuracy of breast cancer risk perception but not mutation risk perception was associated with precounseling worry (P = .04), even after adjusting for trait anxiety (P = .01).
CONCLUSIONS: This research demonstrates patients' resistance to risk information. Inappropriately high risk perception derived from a risk communication with a health care provider can lead patients to make different, and potentially worse, medical decisions than they would with an accurate risk perception and to be unnecessarily distressed about their risk.

Entities:  

Keywords:  Empirical Approach; Genetics and Reproduction

Mesh:

Year:  2005        PMID: 15767527     DOI: 10.1001/archinte.165.5.523

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  21 in total

1.  How bad is a 10% chance of losing a toe? Judgments of probabilistic conditions by doctors and laypeople.

Authors:  Andrea Gurmankin Levy; Jonathan Baron
Journal:  Mem Cognit       Date:  2005-12

2.  Genetic testing for BRCA1: effects of a randomised study of knowledge provision on interest in testing and long term test uptake; implications for the NICE guidelines.

Authors:  Julia Hall; Susan Gray; Roger A'Hern; Susan Shanley; Maggie Watson; Kathryn Kash; Robert Croyle; Rosalind Eeles
Journal:  Fam Cancer       Date:  2008-08-05       Impact factor: 2.375

3.  Patients' understanding of how genotype variation affects benefits of tamoxifen therapy for breast cancer.

Authors:  N T Brewer; J T Defrank; W K Chiu; J G Ibrahim; C M Walko; P Rubin; O A Olajide; S G Moore; R E Raab; D R Carrizosa; S W Corso; G Schwartz; J M Peppercorn; H L McLeod; L A Carey; W J Irvin
Journal:  Public Health Genomics       Date:  2014-01-22       Impact factor: 2.000

4.  Factors affecting recall of different types of personal genetic information about Alzheimer's disease risk: the REVEAL study.

Authors:  Andria G Besser; Saskia C Sanderson; J Scott Roberts; Clara A Chen; Kurt D Christensen; Denise M Lautenbach; L Adrienne Cupples; Robert C Green
Journal:  Public Health Genomics       Date:  2015-01-24       Impact factor: 2.000

5.  Predictors of uptake of obesity genetic testing among affected adults.

Authors:  Mary E Segal; Marcia Polansky; Pamela Sankar
Journal:  Hum Genet       Date:  2006-09-21       Impact factor: 4.132

6.  Genetic counseling, genetic testing, and risk perceptions for breast and colorectal cancer: Results from the 2015 National Health Interview Survey.

Authors:  Erin Turbitt; Megan C Roberts; Jennifer M Taber; Erika A Waters; Timothy S McNeel; Barbara B Biesecker; William M P Klein
Journal:  Prev Med       Date:  2019-02-25       Impact factor: 4.018

7.  Improving communication of breast cancer recurrence risk.

Authors:  Noel T Brewer; Alice R Richman; Jessica T DeFrank; Valerie F Reyna; Lisa A Carey
Journal:  Breast Cancer Res Treat       Date:  2011-10-01       Impact factor: 4.872

8.  Perceived risk following melanoma genetic testing: a 2-year prospective study distinguishing subjective estimates from recall.

Authors:  Lisa G Aspinwall; Jennifer M Taber; Wendy Kohlmann; Samantha L Leaf; Sancy A Leachman
Journal:  J Genet Couns       Date:  2013-12-10       Impact factor: 2.537

9.  Experiences and decisions that motivate women at increased risk of breast cancer to participate in an experimental screening program.

Authors:  Michelle Proulx; Marie-Dominique Beaulieu; Christine Loignon; Marie-Hélène Mayrand; Christine Maugard; Nathalie Bellavance; Diane Provencher
Journal:  J Genet Couns       Date:  2009-02-14       Impact factor: 2.537

Review 10.  Anchoring-and-adjustment bias in communication of disease risk.

Authors:  Ibrahim Senay; Kimberly A Kaphingst
Journal:  Med Decis Making       Date:  2009-03-11       Impact factor: 2.583

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.