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Updated: Aug 16, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
Published on: November 3, 2010
Communicating risk information in genetic counseling: an observational study
Susan Michie1, Kathryn Lester, Julia Pinto
1Centre for Outcomes Research and Effectiveness, Department of Psychology, University College London, London. s.michie@ucl.ac.uk
Genetic counselors often use words or numbers to communicate risk, but patient understanding is frequently not assessed. This communication gap raises concerns about informed decision-making in genetic counseling.
Area of Science:
- Medical Genetics
- Communication Studies
- Health Psychology
Background:
- Effective risk communication is crucial in genetic counseling for informed patient decision-making.
- Understanding how patients interpret risk information influences their engagement and choices.
Purpose of the Study:
- To analyze the forms of risk expression used in UK genetic counseling sessions.
- To examine patient responses to different risk communication methods.
- To determine the frequency of clinician assessment of patient comprehension.
Main Methods:
- Analysis of 115 transcribed UK genetic counseling consultations.
- Reliable coding of risk expressions (words, probabilities, percentages) and patient responses (understanding, misunderstanding, disagreement, no response).
- Documentation of clinician's assessment of patient comprehension.
Main Results:
- Over half of risk expressions were words (53%), with numbers comprising the rest (47%).
- No significant association was found between the form of risk expression and patient response.
- Clinicians assessed patient comprehension in only 25% of instances, less frequently after using words than numbers.
- Patient non-response to risk communication occurred in 43% of cases.
Conclusions:
- A significant portion of risk communication in genetic counseling goes unacknowledged by patients.
- The low rate of comprehension assessment by clinicians, coupled with frequent patient non-response, suggests potential for decisions made without full understanding of genetic risks.
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