Preferences for cancer treatments: An overview of methods and applications in oncology

Blinman, P; King, M; Norman, R; Viney, R; Stockler, MR

Preferences for cancer treatments: An overview of methods and applications in oncology

Blinman, P King, M Norman, R

Viney, R

Stockler, MR

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Publication Type:: Journal Article
Citation:: Annals of Oncology, 2012, 23 (5), pp. 1104 - 1110
Issue Date:: 2012-05-01

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Field	Value	Language
dc.contributor.author	Blinman, P	en_US
dc.contributor.author	King, M	en_US
dc.contributor.author	Norman, R https://orcid.org/0000-0002-3112-3893	en_US
dc.contributor.author	Viney, R https://orcid.org/0000-0002-0039-9635	en_US
dc.contributor.author	Stockler, MR	en_US
dc.date.issued	2012-05-01	en_US
dc.identifier.citation	Annals of Oncology, 2012, 23 (5), pp. 1104 - 1110	en_US
dc.identifier.issn	0923-7534	en_US
dc.identifier.uri	http://hdl.handle.net/10453/18811
dc.description.abstract	This review provides cancer clinicians and researchers with an overview of methods for assessing preferences, with examples and recommendations for their application in oncology. Decisions about cancer treatments involve trade-offs between their relative benefits and harms. An individual's preference for a cancer treatment reflects their evaluation of the relative benefits and harms in comparison with a given alternative or alternatives. Methods of preference assessment include the ranking or rating scale, standard gamble (SG), time trade-off (TTO), visual analogue scale, discrete choice experiment (DCE), and multi-attribute utility instrument (MAUI). The choice of method depends on the purpose of preference assessment; the ranking or rating scale, SG, TTO, and DCEs are best suited to clinical decisions, whereas MAUIs are best suited to health policy decisions. Knowledge of patients' preferences for cancer treatments can better inform clinical decisions about patient management by enabling the tailoring of decisions to individual patients' values, attitudes, and priorities and health policy decisions through economic evaluations of cancer treatments and their suitability for coverage by health payers. © The Author 2012. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved.	en_US
dc.relation.ispartof	Annals of Oncology	en_US
dc.relation.isbasedon	10.1093/annonc/mdr559	en_US
dc.subject.classification	Oncology & Carcinogenesis	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Neoplasms	en_US
dc.subject.mesh	Decision Making	en_US
dc.subject.mesh	Medical Oncology	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Decision Support Techniques	en_US
dc.subject.mesh	Research Design	en_US
dc.subject.mesh	Practice Guidelines as Topic	en_US
dc.subject.mesh	Patient Preference	en_US
dc.title	Preferences for cancer treatments: An overview of methods and applications in oncology	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	23	en_US
utslib.for	140208 Health Economics	en_US
utslib.for	1112 Oncology and Carcinogenesis	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	23	en_US

Abstract:

This review provides cancer clinicians and researchers with an overview of methods for assessing preferences, with examples and recommendations for their application in oncology. Decisions about cancer treatments involve trade-offs between their relative benefits and harms. An individual's preference for a cancer treatment reflects their evaluation of the relative benefits and harms in comparison with a given alternative or alternatives. Methods of preference assessment include the ranking or rating scale, standard gamble (SG), time trade-off (TTO), visual analogue scale, discrete choice experiment (DCE), and multi-attribute utility instrument (MAUI). The choice of method depends on the purpose of preference assessment; the ranking or rating scale, SG, TTO, and DCEs are best suited to clinical decisions, whereas MAUIs are best suited to health policy decisions. Knowledge of patients' preferences for cancer treatments can better inform clinical decisions about patient management by enabling the tailoring of decisions to individual patients' values, attitudes, and priorities and health policy decisions through economic evaluations of cancer treatments and their suitability for coverage by health payers. © The Author 2012. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/18811