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Assessing quality of life in the elderly: a direct comparison of the EQ‐5D and AQoL

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  • Richard Holland
  • Richard D Smith
  • Ian Harvey
  • Louise Swift
  • Elizabeth Lenaghan

Abstract

As more research is undertaken on the elderly, accurately assessing changes in their quality of life becomes increasingly important. Generic instruments are the most popular method to assess quality of life, and one of the most widely used is the EQ‐5D. However, the range of dimensions, sensitivity of scales and completion rates have been raised as concerns when using this measure with the elderly. The AQoL is a newer instrument which offers greater richness in dimensions of health covered, and potentially offers greater sensitivity to changes in quality of life. This paper presents the results of a ‘head‐to‐head’ comparison of the EQ‐5D and AQoL in terms of practicality, construct validity, agreement (of absolute scores and their change over time) and sensitivity to change, as part of a randomised controlled trial in the elderly. Poor agreement was found between both the absolute scores from each instrument and change in scores over time. Although the AQoL appeared to have more favourable construct validity, the EQ‐5D was easier to administer, had a higher completion rate, and appeared more sensitive to change. We conclude that the AQoL is probably less well suited to measuring health status in a very elderly population than the EQ‐5D. Copyright © 2004 John Wiley & Sons, Ltd.

Suggested Citation

  • Richard Holland & Richard D Smith & Ian Harvey & Louise Swift & Elizabeth Lenaghan, 2004. "Assessing quality of life in the elderly: a direct comparison of the EQ‐5D and AQoL," Health Economics, John Wiley & Sons, Ltd., vol. 13(8), pages 793-805, August.
    • Handle: RePEc:wly:hlthec:v:13:y:2004:i:8:p:793-805
    DOI: 10.1002/hec.858
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    Cited by:

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    3. Stirling Bryan & Louise Longworth, 2005. "Measuring health-related utility:," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(3), pages 253-260, September.
    4. Mulhern, B & Smith, SC & Rowen, D & Brazier, JE & Knapp, M & Lamping, DL & Loftus, V & Young, Tracey A. & Howard, RJ & Banerjee, S, 2010. "Improving the measurement of QALYs in dementia: developing patient- and carer-reported health state classification systems using Rasch analysis," MPRA Paper 29948, University Library of Munich, Germany.
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    6. Lukasz Tanajewski & Matthew Franklin & Georgios Gkountouras & Vladislav Berdunov & Rowan H Harwood & Sarah E Goldberg & Lucy E Bradshaw & John R F Gladman & Rachel A Elliott, 2015. "Economic Evaluation of a General Hospital Unit for Older People with Delirium and Dementia (TEAM Randomised Controlled Trial)," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-20, December.
    7. Susan T. Stewart & Rebecca M. Woodward & Allison B. Rosen & David M. Cutler, 2005. "A Proposed Method for Monitoring U.S. Population Health: Linking Symptoms, Impairments, and Health Ratings," NBER Working Papers 11358, National Bureau of Economic Research, Inc.
    8. Julie A. Campbell & Andrew J. Palmer & Alison Venn & Melanie Sharman & Petr Otahal & Amanda Neil, 2016. "A Head-to-Head Comparison of the EQ-5D-5L and AQoL-8D Multi-Attribute Utility Instruments in Patients Who Have Previously Undergone Bariatric Surgery," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 9(4), pages 311-322, August.
    9. Julie A. Campbell & Martin Hensher & Amanda Neil & Alison Venn & Stephen Wilkinson & Andrew J. Palmer, 2018. "An Exploratory Study of Long-Term Publicly Waitlisted Bariatric Surgery Patients’ Quality of Life Before and 1 Year After Bariatric Surgery, and Considerations for Healthcare Planners," PharmacoEconomics - Open, Springer, vol. 2(1), pages 63-76, March.

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