Why does genetic causal information alter perceived treatment effectiveness? An analogue study
Why does genetic causal information alter perceived treatment effectiveness? An analogue study
Objectives: when a health problem is perceived as having a genetic cause, this appears to increase the perceived effectiveness of pharmacological treatments and reduce perceived effectiveness of non-pharmacological treatments. Potential mediators of this effect include causal attributions, perceived severity, and perceived control over the health problem. This study aimed to use experimental methods to establish which beliefs mediate the effect of genetic causal information on perceived effectiveness of treatments.
Design: a 4(cause: environmental, family history, genetic test, family history & genetic test)×2(severity: higher or low) between-subjects design using vignettes about heart disease risk, obesity or depression.
Methods: a total of 647 adults, randomly assigned to read one of the experimental vignettes, were interviewed. Key outcomes were perceived effectiveness of medication and of non-pharmacological treatments. Potential mediators of perceived severity, perceived controllability, and causal attributions were also assessed.
Results: for heart disease risk, genetic causes reduced perceived effectiveness of non-pharmacological treatments (an effect mediated by causal attributions and perceived control) but did not influence perceived medication effectiveness. For obesity, neither severity nor cause influenced the perceived effectiveness of either treatment. For depression, genetic causes only increased perceived effectiveness of medication for more severe depression, an effect mediated by perceived control.
Conclusions: the impact of genetic causal information on perceived effectiveness of treatments varies with type of health problem. When genetic causal information influences perceived treatment effectiveness, it does so by altering causal attributions and perceived controllability. However, these effects are small and unlikely to translate into clinically meaningful differences in health-enhancing behaviours
294-313
Wright, Alison J.
158f7014-ab90-408e-94b1-49bcd2ca8ceb
Sutton, Stepehn R.
a8f15ef5-6a5b-4ca3-b8b1-df4db6e7f004
Hankins, Matthew
ce4b7d68-3320-4af4-9dd7-3537a4b07219
Whitwell, Sophia C.L.
a67a9cdb-b729-4a5b-84f6-8205e2761a89
Macfarlane, Angela
0dbcd887-5abf-48d1-8366-ff3a63f9c98c
Marteau, Theresa M.
b0519138-0d20-419c-8bd2-99afb591cc07
May 2012
Wright, Alison J.
158f7014-ab90-408e-94b1-49bcd2ca8ceb
Sutton, Stepehn R.
a8f15ef5-6a5b-4ca3-b8b1-df4db6e7f004
Hankins, Matthew
ce4b7d68-3320-4af4-9dd7-3537a4b07219
Whitwell, Sophia C.L.
a67a9cdb-b729-4a5b-84f6-8205e2761a89
Macfarlane, Angela
0dbcd887-5abf-48d1-8366-ff3a63f9c98c
Marteau, Theresa M.
b0519138-0d20-419c-8bd2-99afb591cc07
Wright, Alison J., Sutton, Stepehn R., Hankins, Matthew, Whitwell, Sophia C.L. and Macfarlane, Angela
,
Marteau, Theresa M.
(ed.)
(2012)
Why does genetic causal information alter perceived treatment effectiveness? An analogue study.
British Journal of Health Psychology, 17 (2), .
(doi:10.1111/j.2044-8287.2011.02038.x).
(PMID:22107338)
Abstract
Objectives: when a health problem is perceived as having a genetic cause, this appears to increase the perceived effectiveness of pharmacological treatments and reduce perceived effectiveness of non-pharmacological treatments. Potential mediators of this effect include causal attributions, perceived severity, and perceived control over the health problem. This study aimed to use experimental methods to establish which beliefs mediate the effect of genetic causal information on perceived effectiveness of treatments.
Design: a 4(cause: environmental, family history, genetic test, family history & genetic test)×2(severity: higher or low) between-subjects design using vignettes about heart disease risk, obesity or depression.
Methods: a total of 647 adults, randomly assigned to read one of the experimental vignettes, were interviewed. Key outcomes were perceived effectiveness of medication and of non-pharmacological treatments. Potential mediators of perceived severity, perceived controllability, and causal attributions were also assessed.
Results: for heart disease risk, genetic causes reduced perceived effectiveness of non-pharmacological treatments (an effect mediated by causal attributions and perceived control) but did not influence perceived medication effectiveness. For obesity, neither severity nor cause influenced the perceived effectiveness of either treatment. For depression, genetic causes only increased perceived effectiveness of medication for more severe depression, an effect mediated by perceived control.
Conclusions: the impact of genetic causal information on perceived effectiveness of treatments varies with type of health problem. When genetic causal information influences perceived treatment effectiveness, it does so by altering causal attributions and perceived controllability. However, these effects are small and unlikely to translate into clinically meaningful differences in health-enhancing behaviours
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Published date: May 2012
Organisations:
Faculty of Health Sciences
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Local EPrints ID: 343711
URI: http://eprints.soton.ac.uk/id/eprint/343711
ISSN: 1359-107X
PURE UUID: b45d0e1d-0fce-44d5-9133-17b6879b2fec
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Date deposited: 12 Oct 2012 09:26
Last modified: 14 Mar 2024 12:06
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Contributors
Author:
Alison J. Wright
Author:
Stepehn R. Sutton
Author:
Matthew Hankins
Author:
Sophia C.L. Whitwell
Author:
Angela Macfarlane
Editor:
Theresa M. Marteau
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