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A Review of the Development and Application of Generic Preference-Based Instruments with the Older Population

Author

Listed:
  • Jenny Cleland

    (Flinders University)

  • Claire Hutchinson

    (Flinders University)

  • Jyoti Khadka

    (Flinders University
    South Australian Health and Medical Research Institute (SAHMRI))

  • Rachel Milte

    (Flinders University)

  • Julie Ratcliffe

    (Flinders University)

Abstract

Older 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.

Suggested Citation

  • Jenny Cleland & Claire Hutchinson & Jyoti Khadka & Rachel Milte & Julie Ratcliffe, 2019. "A Review of the Development and Application of Generic Preference-Based Instruments with the Older Population," Applied Health Economics and Health Policy, Springer, vol. 17(6), pages 781-801, December.
    • Handle: RePEc:spr:aphecp:v:17:y:2019:i:6:d:10.1007_s40258-019-00512-4
    DOI: 10.1007/s40258-019-00512-4
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    References listed on IDEAS

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    1. Julie Ratcliffe & Thomas Flint & Tiffany Easton & Maggie Killington & Ian Cameron & Owen Davies & Craig Whitehead & Susan Kurrle & Michelle Miller & Enwu Liu & Maria Crotty, 2017. "An Empirical Comparison of the EQ-5D-5L, DEMQOL-U and DEMQOL-Proxy-U in a Post-Hospitalisation Population of Frail Older People Living in Residential Aged Care," Applied Health Economics and Health Policy, Springer, vol. 15(3), pages 399-412, June.
    2. Catherine Milte & Ruth Walker & Mary Luszcz & Emily Lancsar & Billingsley Kaambwa & Julie Ratcliffe, 2014. "How Important Is Health Status in Defining Quality of Life for Older People? An Exploratory Study of the Views of Older South Australians," Applied Health Economics and Health Policy, Springer, vol. 12(1), pages 73-84, February.
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    Cited by:

    1. Natalia Perogil-Barragán & Santiago Gomez-Paniagua & Jorge Rojo-Ramos & María José González-Becerra & Sabina Barrios-Fernández & Konstantinos Gianikellis & Antonio Castillo-Paredes & Julián Carvajal-G, 2023. "Cross-Cultural Adaptation and Psychometric Properties of the Spanish Version of the OPQOL-Brief," IJERPH, MDPI, vol. 20(3), pages 1-11, January.
    2. Himmler, Sebastian & Jonker, Marcel & van Krugten, Frédérique & Hackert, Mariska & van Exel, Job & Brouwer, Werner, 2022. "Estimating an anchored utility tariff for the well-being of older people measure (WOOP) for the Netherlands," Social Science & Medicine, Elsevier, vol. 301(C).
    3. Lidia Engel & Leona Kosowicz & Ekaterina Bogatyreva & Frances Batchelor & Nancy Devlin & Briony Dow & Andrew S. Gilbert & Brendan Mulhern & Tessa Peasgood & Rosalie Viney, 2023. "Face Validity of Four Preference-Weighted Quality-of-Life Measures in Residential Aged Care: A Think-Aloud Study," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 16(6), pages 655-666, November.
    4. Julie Ratcliffe & Siobhan Bourke & Jinhu Li & Brendan Mulhern & Claire Hutchinson & Jyoti Khadka & Rachel Milte & Emily Lancsar, 2022. "Valuing the Quality-of-Life Aged Care Consumers (QOL-ACC) Instrument for Quality Assessment and Economic Evaluation," PharmacoEconomics, Springer, vol. 40(11), pages 1069-1079, November.
    5. Hackert, Mariska Q.N. & van Exel, Job & Brouwer, Werner B.F., 2020. "Well-being of Older People (WOOP): Quantitative validation of a new outcome measure for use in economic evaluations," Social Science & Medicine, Elsevier, vol. 259(C).

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