Mapping the COPD Assessment Test onto EQ-5D

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Mapping the COPD Assessment Test onto EQ-5D Christopher K. Hoyle, PhD, Margaret Tabberer, MSc, Jean Brooks, MSc Value in Health Volume 19, Issue 4, Pages 469-477 (June 2016) DOI: 10.1016/j.jval.2016.01.005 Copyright © 2016 International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Terms and Conditions

Fig. 1 Scatter graph (A) and distributions (B) of EQ-5D-3L utilities and CAT total scores. Darker circles represent higher density of data points. For observations of both EQ-5D-3L and CAT, there were a total of 4446 observations, and the numbers in each subset of the EQ-5D-3L range were as follows: EQ-5D < 0, 38; 0 ≤ EQ-5D < 0.25, 91; 0.25 ≤ EQ-5D < 0.5, 41; 0.5 ≤ EQ-5D < 0.75, 1617; 0.75 ≤ EQ-5D < 1, 1307; EQ-5D = 1, 1352. CAT, COPD assessment test; COPD, chronic obstructive pulmonary disease; EQ-5D, EuroQol five-dimensional questionnaire. Value in Health 2016 19, 469-477DOI: (10.1016/j.jval.2016.01.005) Copyright © 2016 International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Terms and Conditions