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   <subfield code="a">The impact of disease severity on EQ-5D and SF-6D utility discrepancies in chronic heart failure</subfield>
   <subfield code="h">[Elektronische Daten]</subfield>
   <subfield code="c">[Nick Kontodimopoulos, Michalis Argiriou, Nikolaos Theakos, Dimitris Niakas]</subfield>
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   <subfield code="a">Objectives: To compare EQ-5D and SF-6D utilities across groups of chronic heart failure (CHF) patients with varying levels of disease severity. Methods: A consecutive sample (N=251) of CHF patients undergoing elective cardiac surgery were surveyed. Disease severity was proxied via a self-assessment scale, the EQ-VAS and the Duke Activity Status Index (DASI); however, validity was demonstrated only by the latter. Association and level of agreement between instruments in DASI-based severity groups were estimated with Pearson's r and the intraclass correlation coefficient (ICC), respectively. Paired-samples t test was used to identify significant differences. In a linear regression model, the DASI was used as an anchor of disease severity to identify a potential &quot;crossover” point between EQ-5D and SF-6D utilities. Results: EQ-5D and SF-6D strongly correlated over the entire sample (r=0.647, P&lt;0.001); however, their agreement was moderate (ICC=0.484, P&lt;0.001). In the less severe DASI groups (i.e. higher functional capacity) EQ-5D was significantly higher than SF-6D (P&lt;0.001) and differences constituted minimally important differences (MIDs). Contrarily, in the more severe groups SF-6D was predominantly higher than EQ-5D. The regression model indicated a utility crossover point at 0.722 and predicted that individuals with a utility score less than this would score higher on the SF-6D than on the EQ-5D, and vice versa. The DASI score at crossover was calculated at 31.94. Conclusions: In subgroups of patients differing in CHF severity according to the DASI, mean EQ-5D and SF-6D indices differed significantly. Contrarily, in socio-demographic and clinical groups, these utility differences were not directly evident. According to the evidence, comparisons based on severity classification via a valid disease-specific external instrument may provide insight on instrument choice in cost-utility analyses.</subfield>
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   <subfield code="a">Springer-Verlag, 2010</subfield>
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   <subfield code="a">Chronic heart failure</subfield>
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   <subfield code="a">Cost-utility analysis</subfield>
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   <subfield code="a">Duke activity status index</subfield>
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   <subfield code="a">EQ-5D</subfield>
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   <subfield code="a">Health-related quality of life</subfield>
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   <subfield code="a">Kontodimopoulos</subfield>
   <subfield code="D">Nick</subfield>
   <subfield code="u">Faculty of Social Sciences, Hellenic Open University, Bouboulinas 57, 26222, Patras, Greece</subfield>
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   <subfield code="a">Argiriou</subfield>
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   <subfield code="u">Faculty of Social Sciences, Hellenic Open University, Bouboulinas 57, 26222, Patras, Greece</subfield>
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   <subfield code="a">Theakos</subfield>
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   <subfield code="t">The European Journal of Health Economics</subfield>
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   <subfield code="g">12/4(2011-08-01), 383-391</subfield>
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