The impact of disease severity on EQ-5D and SF-6D utility discrepancies in chronic heart failure

26Citations
Citations of this article
53Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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 "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<0.001); however, their agreement was moderate (ICC = 0.484, P<0.001). In the less severe DASI groups (i.e. higher functional capacity) EQ-5D was significantly higher than SF-6D (P<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 diseasespecific external instrument may provide insight on instrument choice in cost-utility analyses. © Springer-Verlag 2010.

Cite

CITATION STYLE

APA

Kontodimopoulos, N., Argiriou, M., Theakos, N., & Niakas, D. (2011). The impact of disease severity on EQ-5D and SF-6D utility discrepancies in chronic heart failure. European Journal of Health Economics, 12(4), 383–391. https://doi.org/10.1007/s10198-010-0252-4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free