Motivation in the age of genomics
Why genetic findings of disease susceptibility might not motivate behavior change
Bibliographic Data
| ID | 8248673 |
|---|---|
| Authors | Tinsley HG Webster, T Webster (Vanderbilt University), Sarah J Beal (0000-0002-7223-0070, Cincinnati Children's Hospital Medical Center), Kyle B Brothers (0000-0002-8550-9724, University of Louisville, corresponding author) |
| Year | 2013 |
| Volume | 9 |
| Issue | 1 |
| Publication date | 2013-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Life Sciences Society and Policy (JOURNAL) |
| Journal identifiers | ISSN: 2195-7819 • E-ISSN: 2195-7819 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1186/2195-7819-9-8 |
| OpenAlex | W2097896167 |
| Language | EN |
| References cited | 66 |
There is a growing consensus that results generated through multiplex genetic tests, even those produced as a part of research, should be reported to providers and patients when they are considered “actionable,” that is, when they could be used to inform some potentially beneficial clinical action. However, there remains controversy over the precise criterion that should be used in identifying when a result meets this standard. In this paper, we seek to refine the concept of “actionability” by exploring one proposed use for genetic test results. We argue that genetic test results indicating that a patient is at risk for developing a chronic health condition should not be considered actionable if the only potential value of that result is to motivate patients to make changes in their health behaviors. Since the empirical research currently available on this question is equivocal, we explore relevant psychological theories of human motivation to demonstrate that current theory does not support the assumption that information about genetic risk will be motivating to most patients in their attempts to make changes in health behaviors
Biology · Disease · Empirical research · Epistemology · Genetic testing · Machine learning · Applied Psychology · Behavioral Health and Interventions · BRCA gene mutations in cancer · Computer Science · Medicine · Psychology · Social Psychology
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| Citation velocity | historical |
|---|---|
| Highly cited | No |