Authors
Rachel Baker, Ian Bateman, Cam Donaldson, Michael Jones-Lee, Emily Lancsar, Graham Loomes, Helen Mason, Maria Odejar, J-L Pinto Prades, Angela Robinson, Mandy Ryan, Phil Shackley, Richard Smith, Robert Sugden, John Wildman
Publication date
2010
Journal
Health Technology Assessment (Winchester, England)
Volume
14
Issue
27
Pages
1-+
Publisher
NIHR Health Technology Assessment Programme
Description
OBJECTIVES
To identify characteristics of beneficiaries of health care over which relative weights should be derived and to estimate relative weights to be attached to health gains according to characteristics of recipients of these gains (relativities study); and to assess the feasibility of estimating a willingness-to-pay (WTP)-based value of a quality-adjusted life-year (QALY) (valuation study).
DESIGN
Two interview-based surveys were administered - one (for the relativities study) to a nationally representative sample of the population in England and the other (for the valuation study) to a smaller convenience sample.
SETTING
The two surveys were administered by the National Centre for Social Research (NatCen) in respondents' homes.
PARTICIPANTS
587 members of the public were interviewed for the relativities study and 409 for the valuation study.
METHODS
In the relativities study, in-depth qualitative work and considerations of policy relevance resulted in the identification of age and severity of illness as relevant characteristics. Scenarios reflecting these, along with additional components reflecting gains in QALYs, were presented to respondents in a series of pairwise choices using two types of question: discrete choice and matching. These questions were part of a longer questionnaire (including attitudinal and sociodemographic questions), which was administered face to face using a computer-assisted personal interview. In the valuation study, respondents were asked about their WTP to avoid/prevent different durations of headache or stomach illness and to value these states on a scale (death = 0; full health = 1) using standard gamble …
Total citations
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