Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/121455
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dc.contributor.authorCleland, J.-
dc.contributor.authorHutchinson, C.-
dc.contributor.authorKhadka, J.-
dc.contributor.authorMilte, R.-
dc.contributor.authorRatcliffe, J.-
dc.date.issued2019-
dc.identifier.citationApplied Health Economics and Health Policy, 2019; 17(6):781-801-
dc.identifier.issn1179-1896-
dc.identifier.issn1179-1896-
dc.identifier.urihttp://hdl.handle.net/2440/121455-
dc.description.abstractOlder people (aged 65 years and over) are the fastest growing age cohort in the majority of developed countries, and the proportion of individuals defined as the oldest old (aged 80 years and over) living with physical frailty and cognitive impairment is rising. These population changes put increasing pressure on health and aged care services, thus it is important to assess the cost effectiveness of interventions targeted for older people across health and aged care sectors to identify interventions with the strongest capacity to enhance older peoples' quality of life and provide value for money. Cost-utility analysis (CUA) is a form of economic evaluation that typically uses preference-based instruments to measure and value health-related quality of life for the calculation of quality-adjusted life-years (QALYS) to enable comparisons of the cost effectiveness of different interventions. A variety of generic preference-based instruments have been used to measure older people's quality of life, including the Adult Social Care Outcomes Toolkit (ASCOT); Health Utility Index Mark 2 (HUI2); Health Utility Index Mark 3 (HUI3); Short-Form-6 Dimensions (SF-6D); Assessment of Quality of Life-6 dimensions (AQoL-6D); Assessment of Quality of Life-8 dimensions (AQoL-8D); Quality of Wellbeing Scale-Self-Administered (QWB-SA); 15 Dimensions (15D); EuroQol-5 dimensions (EQ-5D); and an older person specific preference-based instrument-the Investigating Choice Experiments Capability Measure for older people (ICECAP-O). This article reviews the development and application of these instruments within the older population and discusses the issues surrounding their use with this population. Areas for further research relating to the development and application of generic preference-based instruments with populations of older people are also highlighted.-
dc.description.statementofresponsibilityJenny Cleland, Claire Hutchinson, Jyoti Khadka, Rachel Milte, Julie Ratcliffe-
dc.language.isoen-
dc.publisherSpringer Verlag-
dc.rights© Springer Nature Switzerland AG 2019.-
dc.source.urihttp://dx.doi.org/10.1007/s40258-019-00512-4-
dc.subjectHumans-
dc.subjectHealth Surveys-
dc.subjectQuality-Adjusted Life Years-
dc.subjectQuality of Life-
dc.subjectAged-
dc.subjectAged, 80 and over-
dc.subjectPatient Preference-
dc.titleA review of the development and application of generic preference-based instruments with the older population-
dc.typeJournal article-
dc.identifier.doi10.1007/s40258-019-00512-4-
dc.relation.granthttp://purl.org/au-research/grants/arc/LP170100664-
pubs.publication-statusPublished-
dc.identifier.orcidRatcliffe, J. [0000-0001-7365-1988]-
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