Valuing Child Health Utility 9D Health States with a young adolescent sample: a feasibility study to compare best worst discrete choice, standard gamble and time trade off methods.

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dc.contributor.author Ratcliffe, J
dc.contributor.author Couzner, L
dc.contributor.author Flynn, TN
dc.contributor.author Sawyer, M
dc.contributor.author Stevens, K
dc.contributor.author Brazier, JE
dc.contributor.author Burgess, LB
dc.date.accessioned 2012-10-12T03:34:29Z
dc.date.issued 2011-01
dc.identifier.citation Applied Health Economics and Health Policy, 2011, 9 (1), pp. 15 - 27
dc.identifier.issn 1175-5652
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/18659
dc.description.abstract QALYs are increasingly being utilized as a health outcome measure to calculate the benefits of new treatments and interventions within cost-utility analyses for economic evaluation. Cost-utility analyses of adolescent-specific treatment programmes are scant in comparison with those reported upon for adults and tend to incorporate the views of clinicians or adults as the main source of preferences. However, it is not clear that the views of adults are in accordance with those of adolescents on this issue. Hence, the treatments and interventions most highly valued by adults may not correspond with those most highly valued by adolescents. Ordinal methods for health state valuation may be more easily understood and interpreted by young adolescent samples than conventional approaches. The availability of young adolescent-specific health state values for the estimation of QALYs will provide new insights into the types of treatment programmes and health services that are most highly valued by young adolescents.
dc.publisher Adis International
dc.relation.isbasedon 10.2165/11536960-000000000-00000
dc.title Valuing Child Health Utility 9D Health States with a young adolescent sample: a feasibility study to compare best worst discrete choice, standard gamble and time trade off methods.
dc.type Journal Article
dc.parent Applied Health Economics and Health Policy
dc.journal.volume 1
dc.journal.volume 9
dc.journal.number 1 en_US
dc.publocation USA en_US
dc.identifier.startpage 15 en_US
dc.identifier.endpage 27 en_US
dc.cauo.name BUS.Faculty of Business en_US
dc.conference Verified OK en_US
dc.for 1505 Marketing
dc.for 1402 Applied Economics
dc.for 1117 Public Health and Health Services
dc.personcode 960812
dc.personcode 102815
dc.percentage 34 en_US
dc.classification.name Public Health and Health Services en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords en_US
dc.description.keywords Nursing sensitive outcomes
dc.description.keywords Policy
dc.description.keywords Skill-mix
dc.description.keywords Staffing
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Business
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Faculty of Science/School of Mathematical Sciences
pubs.organisational-group /University of Technology Sydney/Strength - Study of Choice


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