Journal article
Non‐Directiveness and Authenticity in the Predictive Genetic Clinic
- Abstract:
- The predictive genetic clinic is a space where counsellors use non‐directive counselling to facilitate asymptomatic patients at risk of carrying a dominantly inherited disease access a predictive genetic test. The social science literature has a history of examining practices within this clinic, but with little attention from the sociology of identity. In this paper, we highlight the importance of identity within these clinics by examining how currently healthy patients anticipate the prospect of a future identity of illness and death. We do this by examining how patients authenticate a decision to take a predictive genetic test for Huntington's Disease (HD). In deciding to take this test, a patient simultaneously asserts that they want the test, and they will be able to cope with a positive (bad news) test result. Positioning this as a claim to authenticity using Habermas, we explore authentic decision making through four themes—vouching, calibrating, reassuring and projecting. Non‐directive counselling provides space for patients to articulate the authenticity of their decision while enabling counsellors probe their decision. However, counselling risks hindering authentic decision making and may devalue the social and familial as bases for efforts to authenticate.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 542.1KB, Terms of use)
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- Publisher copy:
- 10.1111/1467-9566.70149
Authors
+ Economic and Social Research Council
More from this funder
- Funder identifier:
- https://ror.org/03n0ht308
- Publisher:
- Wiley
- Journal:
- Sociology of Health & Illness More from this journal
- Volume:
- 48
- Issue:
- 2
- Article number:
- e70149
- Publication date:
- 2026-01-29
- Acceptance date:
- 2026-01-15
- DOI:
- EISSN:
-
1467-9566
- ISSN:
-
0141-9889
- Language:
-
English
- Keywords:
- Source identifiers:
-
3706410
- Deposit date:
-
2026-01-29
- ARK identifier:
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- Copyright date:
- 2026
- Licence:
- CC Attribution (CC BY)
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