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Comparison of General Population, Patient, and Carer Utility Values for Dementia Health States

Author

Listed:
  • Donna Rowen
  • Brendan Mulhern
  • Sube Banerjee
  • Rhian Tait
  • Caroline Watchurst
  • Sarah C. Smith
  • Tracey A. Young
  • Martin Knapp
  • John E. Brazier

Abstract

Utility values to estimate quality-adjusted life years (QALYs) for use in cost-utility analyses are usually elicited from members of the general population. Public attitudes and understanding of dementia in particular may mean that values elicited from the general population may differ from patients and carers for dementia health states. This study examines how the population impacts utility values elicited for dementia health states using interviewer-administered time tradeoff valuation of health states defined by the dementia-specific preference-based measures DEMQOL-U (patient-report) and DEMQOL-Proxy-U (carer-report). Eight DEMQOL-U states were valued by 78 members of the UK general population and 71 patients with dementia of mild severity. Eight DEMQOL-Proxy-U states were valued by 77 members of the UK general population and 71 carers of patients with dementia of mild severity. Random-effects generalized least squares regression estimated the impact of population, dementia health state, and respondent sociodemographic characteristics on elicited values, finding that values for dementia health states differed by population and that the difference varied across dementia health states. Patients with dementia and carers of patients with dementia gave systematically lower values than members of the general population that were not due to differences in the sociodemographic characteristics of the populations. Our results suggest that the population used to produce dementia health state values could impact the results of cost-utility analyses and potentially affect resource allocation decisions; yet, currently, only general population values are available for usage.

Suggested Citation

  • Donna Rowen & Brendan Mulhern & Sube Banerjee & Rhian Tait & Caroline Watchurst & Sarah C. Smith & Tracey A. Young & Martin Knapp & John E. Brazier, 2015. "Comparison of General Population, Patient, and Carer Utility Values for Dementia Health States," Medical Decision Making, , vol. 35(1), pages 68-80, January.
    • Handle: RePEc:sae:medema:v:35:y:2015:i:1:p:68-80
    DOI: 10.1177/0272989X14557178
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    References listed on IDEAS

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    1. Dolan, Paul & Roberts, Jennifer, 2002. "To what extent can we explain time trade-off values from other information about respondents?," Social Science & Medicine, Elsevier, vol. 54(6), pages 919-929, March.
    2. 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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    Cited by:

    1. Anna Nicolet & Antoinette D I van Asselt & Karin M Vermeulen & Paul F M Krabbe, 2020. "Value judgment of new medical treatments: Societal and patient perspectives to inform priority setting in The Netherlands," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-18, July.
    2. Rowen, Donna & Mukuria, Clara & Bray, Nathan & Carlton, Jill & Longworth, Louise & Meads, David & O'Neill, Ciaran & Shah, Koonal & Yang, Yaling, 2022. "Assessing the comparative feasibility, acceptability and equivalence of videoconference interviews and face-to-face interviews using the time trade-off technique," Social Science & Medicine, Elsevier, vol. 309(C).

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