Developing adolescent-specific health state values for economic evaluation: an application of profile case best-worst scaling to the Child Health Utility 9D.
about
Using Best-Worst Scaling to Investigate Preferences in Health CareMitii™ ABI: study protocol of a randomised controlled trial of a web-based multi-modal training program for children and adolescents with an Acquired Brain Injury (ABI).From KIDSCREEN-10 to CHU9D: creating a unique mapping algorithm for application in economic evaluationComparison of general population, patient, and carer utility values for dementia health statesMeasuring and valuing health-related quality of life among children and adolescents in mainland China--a pilot studyThe validity of the Child Health Utility instrument (CHU9D) as a routine outcome measure for use in child and adolescent mental health services.A think aloud study comparing the validity and acceptability of discrete choice and best worst scaling methods.Factors impacting physicians' decisions to prevent variceal hemorrhageMeasuring Health Utilities in Children and Adolescents: A Systematic Review of the Literature.Paving the way for the use of the SDQ in economic evaluations of school-based population health interventions: an empirical analysis of the external validity of SDQ mapping algorithms to the CHU9D in an educational setting.A Review of the Development and Application of Generic Multi-Attribute Utility Instruments for Paediatric Populations.Adolescent values for immunisation programs in Australia: A discrete choice experiment.Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview.Health-related quality of life associated with bullying and aggression: a cross-sectional study in English secondary schools.Reliability, Validity, and Feasibility of Direct Elicitation of Children's Preferences for Health States.Mapping CHU9D Utility Scores from the PedsQLTM 4.0 SF-15.Is Best-Worst Scaling Suitable for Health State Valuation? A Comparison with Discrete Choice Experiments.Variation in Treatment Priorities for Chronic Hepatitis C: A Latent Class Analysis.Nothing About Us Without Us? A Comparison of Adolescent and Adult Health-State Values for the Child Health Utility-9D Using Profile Case Best-Worst Scaling.Risk factors for impaired quality of life and psychosocial adjustment after pediatric heart, kidney, and liver transplantation.Mapping scores from the Strengths and Difficulties Questionnaire (SDQ) to preference-based utility values.Does one size fit all? Assessing the preferences of older and younger people for attributes of quality of life.A Systematic Review Comparing the Acceptability, Validity and Concordance of Discrete Choice Experiments and Best-Worst Scaling for Eliciting Preferences in Healthcare.Choice Blindness and Health-State Choices among Adolescents and Adults.Valuing Child Health Utility 9D Health States with Young Adults: Insights from a Time Trade Off Study.Valuing SF-6D Health States Using a Discrete Choice Experiment.Valuing children's health: whose quality of life matters?Important features of home-based support services for older Australians and their informal carers.Australian Public Preferences for the Funding of New Health Technologies
P2860
Q28072872-5C60F1B3-F68C-4CA6-8F83-6A141DE877C8Q30661976-FA9B6CD7-9612-4BAB-8E66-B6EE6714A99CQ34570162-E2C6DC39-1F36-43A5-966A-987E4966888AQ34735838-82CD149D-6282-4C85-B99B-99BFDAB6F96BQ35106873-B4C674EB-B635-43B4-B02E-F57A4F75317BQ35122676-04B8713D-0516-44A5-8698-AD5184D4B054Q35155987-1813882C-305D-4C55-A229-B60DC2140470Q35580226-64CB66C9-658F-47DB-B628-A737209B7A18Q35746671-C9BC8228-5D77-4AE0-8A5C-3CDF6144866FQ36795837-37078339-81DB-46FE-8191-6A92F35330D0Q38488723-27ADDE75-5249-4EB2-BBF2-2168D7406FAFQ38660189-62226383-357C-49BE-822A-A8A256674747Q38689999-AB459734-6CB2-4A45-84B8-6BBCFA76D422Q38723012-2BF71CFB-5562-466B-99E6-3E3C4D658F79Q38970154-B44E0C4C-CFEA-46FB-9ED2-074132D77E28Q39121036-F726B30D-734A-4EA8-A57D-27FB3F454A20Q39131270-79798944-5B16-4F2B-BE43-B7C9360E728AQ40374302-DBB9B8C9-750D-43C9-99A2-6398AFD3B4FCQ41416295-DA7E364F-6E33-4DBB-9B5E-548021E48363Q44168849-15D44775-DED5-4F37-BFE7-AAD51FC4E026Q45947162-09AB2032-4985-47D1-87D2-1F5AF0C9BAF8Q47279681-A2724DC9-F99F-433C-A39A-CC1566269883Q47410326-A10B1E5A-C2A4-4879-88D6-8463ADAFF417Q47924213-3ADE99E8-05F9-4410-9725-7748D171F24AQ48019547-EAEA2165-44AB-439F-BA86-00D8F6786A21Q48171221-32B5B3F3-AD3B-427C-A765-8B72A83DAC30Q48417519-9581C23C-1D07-4487-BD74-5E9DF6D82EC7Q53236331-8D85AA74-F33F-44BC-A02C-E3994002CBF0Q57574202-B3C02901-4CE7-491B-AE5E-600F5EE7C929
P2860
Developing adolescent-specific health state values for economic evaluation: an application of profile case best-worst scaling to the Child Health Utility 9D.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Developing adolescent-specific ...... o the Child Health Utility 9D.
@en
Developing adolescent-specific ...... o the Child Health Utility 9D.
@nl
type
label
Developing adolescent-specific ...... o the Child Health Utility 9D.
@en
Developing adolescent-specific ...... o the Child Health Utility 9D.
@nl
prefLabel
Developing adolescent-specific ...... o the Child Health Utility 9D.
@en
Developing adolescent-specific ...... o the Child Health Utility 9D.
@nl
P2093
P2860
P1433
P1476
Developing adolescent-specific ...... to the Child Health Utility 9D
@en
P2093
Frances Terlich
Katherine Stevens
Michael Sawyer
Terry Flynn
P2860
P304
P356
10.2165/11597900-000000000-00000
P577
2012-08-01T00:00:00Z
P6179
1013745234