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Valuing EQ-5D-5L health states ‘in context’ using a discrete choice experiment
Author(s) -
Amanda Cole,
Koonal Shah,
Brendan Mulhern,
Yan Feng,
Nancy Devlin
Publication year - 2017
Publication title -
the european journal of health economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.116
H-Index - 53
eISSN - 1618-7601
pISSN - 1618-7598
DOI - 10.1007/s10198-017-0905-7
Subject(s) - valuation (finance) , respondent , eq 5d , econometrics , statistic , actuarial science , operationalization , descriptive statistics , medicine , context (archaeology) , statistics , psychology , economics , mathematics , geography , philosophy , archaeology , finance , epistemology , political science , law , disease , pathology , health related quality of life
In health state valuation studies, health states are typically presented as a series of sentences, each describing a health dimension and severity 'level'. Differences in the severity levels can be subtle, and confusion about which is 'worse' can lead to logically inconsistent valuation data. A solution could be to mimic the way patients self-report health, where the ordinal structure of levels is clear. We develop and test the feasibility of presenting EQ-5D-5L health states in the 'context' of the entire EQ-5D-5L descriptive system.

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