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Valuing states from multiple measures on the same visual analogue sale: a feasibility study

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  • Donna Rowen
  • John Brazier
  • Aki Tsuchiya
  • Mónica Hernández Alava

Abstract

Previous methods of empirical mapping involve using regressions on patient or general population self‐reported data from datasets involving two or more measures. This approach relies on overlap in the descriptive systems of the measures and assumes it is appropriate to use different measures on the same population, which may not always be the case. This paper presents a feasibility study for a new approach to mapping between preference‐based measures (PBM) using general population visual analogue scale (VAS) values as a common yardstick. We use data from a valuation study of 502 members of the UK general population, where, using ranking and VAS tasks, interviewees simultaneously valued health states defined by three of six PBM: EQ‐5D (generic), SF‐6D (generic), HUI2 (generic for children and adults), AQL‐5D (asthma specific), OPUS (social care specific) and ICECAP (capabilities). Regression techniques are used to estimate the relationship between these VAS values and the original value set (i.e. ‘tariff’). These results are subsequently used to estimate the relationship between all six PBM to enable ‘value‐based mapping’ between measures. This new method of mapping potentially has a useful role in evidence synthesis and cross programme comparisons in studies using different measures. Copyright © 2011 John Wiley & Sons, Ltd.

Suggested Citation

  • Donna Rowen & John Brazier & Aki Tsuchiya & Mónica Hernández Alava, 2012. "Valuing states from multiple measures on the same visual analogue sale: a feasibility study," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 715-729, June.
  • Handle: RePEc:wly:hlthec:v:21:y:2012:i:6:p:715-729
    DOI: 10.1002/hec.1740
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    References listed on IDEAS

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    1. John Brazier & Yaling Yang & Aki Tsuchiya & Donna Rowen, 2010. "A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(2), pages 215-225, April.
    2. Katherine J. Stevens & Christopher J. McCabe & John E. Brazier, 2006. "Mapping between Visual Analogue Scale and Standard Gamble data; results from the UK Health Utilities Index 2 valuation survey," Health Economics, John Wiley & Sons, Ltd., vol. 15(5), pages 527-533, May.
    3. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    4. Christopher McCabe & Katherine Stevens & Jennifer Roberts & John Brazier, 2005. "Health state values for the HUI 2 descriptive system: results from a UK survey," Health Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 231-244, March.
    5. Jack Dowie, 2002. "Decision validity should determine whether a generic or condition‐specific HRQOL measure is used in health care decisions," Health Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 1-8, January.
    6. Grewal, Ini & Lewis, Jane & Flynn, Terry & Brown, Jackie & Bond, John & Coast, Joanna, 2006. "Developing attributes for a generic quality of life measure for older people: Preferences or capabilities?," Social Science & Medicine, Elsevier, vol. 62(8), pages 1891-1901, April.
    7. Bernie J. O'Brien & Marian Spath & Gordon Blackhouse & J.L. Severens & Paul Dorian & John Brazier, 2003. "A view from the bridge: agreement between the SF‐6D utility algorithm and the Health Utilities Index," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 975-981, November.
    8. Ryan, Mandy & Netten, Ann & Skatun, Diane & Smith, Paul, 2006. "Using discrete choice experiments to estimate a preference-based measure of outcome--An application to social care for older people," Journal of Health Economics, Elsevier, vol. 25(5), pages 927-944, September.
    9. Coast, Joanna & Flynn, Terry N. & Natarajan, Lucy & Sproston, Kerry & Lewis, Jane & Louviere, Jordan J. & Peters, Tim J., 2008. "Valuing the ICECAP capability index for older people," Social Science & Medicine, Elsevier, vol. 67(5), pages 874-882, September.
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    Cited by:

    1. John Brazier & Aki Tsuchiya, 2015. "Improving Cross-Sector Comparisons: Going Beyond the Health-Related QALY," Applied Health Economics and Health Policy, Springer, vol. 13(6), pages 557-565, December.
    2. Gang Chen & Munir A. Khan & Angelo Iezzi & Julie Ratcliffe & Jeff Richardson, 2016. "Mapping between 6 Multiattribute Utility Instruments," Medical Decision Making, , vol. 36(2), pages 160-175, February.

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