How risk is perceived, constructed and interpreted by clients in clinical genetics, and the effects on decision making: systematic review.
Fulltext:
69976.pdf
Embargo:
until further notice
Size:
471.0Kb
Format:
PDF
Description:
Publisher’s version
Publication year
2008Source
Journal of Genetic Counseling, 17, 1, (2008), pp. 30-63ISSN
Publication type
Article / Letter to editor
Display more detailsDisplay less details
Organization
IQ Healthcare
Former Organization
Centre for Quality of Care Research
Journal title
Journal of Genetic Counseling
Volume
vol. 17
Issue
iss. 1
Page start
p. 30
Page end
p. 63
Subject
EBP 4: Quality of Care; NCEBP 3: Implementation ScienceAbstract
As an individual's understanding of their genetic risk may influence risk management decisions, it is important to understand the ways in which risk is constructed and interpreted. We systematically reviewed the literature, undertaking a narrative synthesis of 59 studies presenting data on the ways in which individuals perceive, construct and interpret their risk, and the subsequent effects. While most studies assessed perceived risk quantitatively, the combined evidence suggests individuals find risk difficult to accurately quantify, with a tendency to overestimate. Rather than being a stand-alone concept, risk is something lived and experienced and the process of constructing risk is complex and influenced by many factors. While evidence of the effects of perceived risk is limited and inconsistent, there is some evidence to suggest high risk estimations may adversely affect health and lead to inappropriate uptake of medical surveillance and preventative measures by some individuals. A more focused approach to research is needed with greater exploration of the ways in which risk is constructed, along with the development of stronger theoretical models, to facilitate effective and patient-centered counseling strategies.
This item appears in the following Collection(s)
- Academic publications [244084]
- Electronic publications [131068]
- Faculty of Medical Sciences [92872]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.