Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10153
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dc.contributor.authorLongworth, L-
dc.contributor.authorYang, Y-
dc.contributor.authorYoung, T-
dc.contributor.authorMulhern, B-
dc.contributor.authorHernandez, M-
dc.contributor.authorMukuria, C-
dc.contributor.authorRowen, D-
dc.contributor.authorTosh, J-
dc.contributor.authorTsuchiya, A-
dc.contributor.authorEvans, P-
dc.contributor.authorKeetharuth, A-
dc.contributor.authorBrazier, J-
dc.contributor.editorNIHR-
dc.date.accessioned2015-02-06T14:54:37Z-
dc.date.available2014-02-01-
dc.date.available2015-02-06T14:54:37Z-
dc.date.issued2014-
dc.identifier.citationHealth Technology Assessment, 18(9): (2014)en_US
dc.identifier.issn1366-5278-
dc.identifier.urihttp://www.journalslibrary.nihr.ac.uk/hta/volume-18/issue-9#abstract-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/10153-
dc.description.abstractResults: (1) EQ-5D was valid and responsive for skin conditions and most cancers; in vision, its performance varied according to aetiology; and performance was poor for hearing impairments. The HUI3 performed well for hearing and vision disorders. It also performed well in cancers although evidence was limited and there was no evidence in skin conditions. There were limited data for SF-6D in all four conditions and limited evidence on reliability of all instruments. (2) Mapping algorithms were estimated to predict EQ-5D values from alternative cancer-specific measures of health. Response mapping using all the domain scores was the best performing model for the EORTC QLQ-C30. In an exploratory analysis, a limited dependent variable mixture model performed better than an equivalent linear model. In the full analysis for the FACT-G, linear regression using ordinary least squares gave the best predictions followed by the tobit model. (3) The exploratory valuation study found that bolt-on items for vision, hearing and tiredness had a significant impact on values of the health states, but the direction and magnitude of differences depended on the severity of the health state. The vision bolt-on item had a statistically significant impact on EQ-5D health state values and a full valuation model was estimated. Conclusions: EQ-5D performs well in studies of cancer and skin conditions. Mapping techniques provide a solution to predict EQ-5D values where EQ-5D has not been administered. For conditions where EQ-5D was found to be inappropriate, including some vision disorders and for hearing, bolt-ons provide a promising solution. More primary research into the psychometric properties of the generic preference-based measures is required, particularly in cancer and for the assessment of reliability. Further research is needed for the development and valuation of bolt-ons to EQ-5D. Funding: This project was funded by the UK Medical Research Council (MRC) as part of the MRC-NIHR methodology research programme (reference G0901486) and will be published in full in Health Technology Assessment; Vol. 18, No. 9. See the NIHR Journals Library website for further project information.en_US
dc.language.isoenen_US
dc.relation.isreplacedby2438/8064-
dc.relation.isreplacedbyhttp://bura.brunel.ac.uk/handle/2438/8064-
dc.subjectEQ-5Den_US
dc.subjectSkin conditionsen_US
dc.titleUse of generic and condition-specific measures of health-related quality of life in NICE decision-making: a systematic review, statistical modelling and surveyen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.3310/hta18090-
dc.relation.isPartOfHealth Technology Assessment-
dc.relation.isPartOfHealth Technology Assessment-
pubs.issue9-
pubs.issue9-
pubs.merge-to2438/8064-
pubs.merge-tohttp://bura.brunel.ac.uk/handle/2438/8064-
pubs.volume18-
pubs.volume18-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Health and Life Sciences-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Health and Life Sciences/Dept of Life Sciences-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Health and Life Sciences/Dept of Life Sciences/Biological Sciences-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies/Health Economics-
pubs.organisational-data/Brunel/Specialist Centres-
pubs.organisational-data/Brunel/Specialist Centres/HERG-
Appears in Collections:Health Economics Research Group (HERG)
Dept of Life Sciences Research Papers

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