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Discrete Choice Experiment
Quality Adjusted Life Year
Research Agenda
Life Year Saved
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Deriving distributional weights for QALYs through discrete choice experiments
Deriving distributional weights for QALYs through discrete choice experiments,10.1016/j.jhealeco.2011.01.003,Journal of Health Economics,Emily Lancsar
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Deriving distributional weights for QALYs through discrete choice experiments
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Emily Lancsar
,
John Wildman
,
Cam Donaldson
,
Mandy Ryan
,
Rachel Baker
This paper presents the first attempt to use a
discrete choice experiment
to derive distributional weights for quality adjusted life years (QALYs), based on characteristics (age and severity) of the beneficiaries. A novel approach using the Hicksian compensating variation is applied. Advantages include derivation of weights for QALYs, not just for life or life years saved, and investigation of the impact of the size of the health gain by allowing the gain to be traded against other characteristics. Results suggest one would generally not weight QALYs, except in a small number of specific cases and in those cases the weights are relatively small. Methodological challenges are highlighted as is a future research agenda.
Journal:
Journal of Health Economics - J HEALTH ECON
, vol. 30, no. 2, pp. 466-478, 2011
DOI:
10.1016/j.jhealeco.2011.01.003
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Citation Context
(1)
...investigate the role of what they term a “recoding heuristic” to characterize how health care costs may be treated by subjects in DCEs due to distortions introduced by insurance coverage. Lancsar et al.
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Citizen Participation in Patient Prioritization Policy Decisions: An Empirical and Experimental Study on Patients' Characteristics
Adele Diederich
,
Joffre Swait
,
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Journal:
PLOS One
, vol. 7, no. 5, 2012