Systematic Review and Empirical Comparison of Contemporaneous EQ-5D and SF-6D Group Mean Scores

2011 ◽  
Vol 31 (6) ◽  
pp. E34-E44 ◽  
Author(s):  
David G. T. Whitehurst ◽  
Stirling Bryan ◽  
Martyn Lewis

Background. Group mean estimates and their underlying distributions are the focus of assessment for cost and outcome variables in economic evaluation. Research focusing on the comparability of alternative preference-based measures of health-related quality of life has typically focused on analysis of individual-level data within specific clinical specialties or community-based samples. Purpose. To explore the relationship between group mean scores for the EQ-5D and SF-6D across the utility scoring range. Methods. Studies were identified via a systematic search of 13 online electronic databases, a review of reference lists of included papers, and hand searches of key journals. Studies were included if they reported contemporaneous mean EQ-5D and SF-6D health state scores. All (sub)group comparisons of group mean EQ-5D and SF-6D scores identifiable from text, tables, or figures were extracted from identified studies. A total of 921 group mean comparisons were extracted from 56 studies. The nature of the relationship between the paired scores was examined using ranked scatter graphs and analysis of agreement. Results. Systematic differences in group mean estimates were observed at both ends of the utility scale. At the lower (upper) end of the scale, the SF-6D (EQ-5D) provides higher mean utility estimates. Conclusions. These findings show that group mean EQ-5D and SF-6D scores are not directly comparable. This raises serious concerns about the cross-study comparability of economic evaluations that differ in the choice of preference-based measures, although the review focuses on 2 of the available instruments only. Further work is needed to address the practical implications of noninterchangeable utility estimates for cost-per-QALY estimates and decision making.

2009 ◽  
Vol 18 (3) ◽  
pp. 229-239 ◽  
Author(s):  
Pedro Serrano-Aguilar ◽  
Yolanda Ramallo-Fariña ◽  
Maria Del Mar Trujillo-Martín ◽  
Sergio Raul Muñoz-Navarro ◽  
Lilisbeth Perestelo-Perez ◽  
...  

SUMMARYAim – To assess the relationship between mental health and health-related quality of life (HRQL) in the general population, and to map GHQ-12 as a screening test for population psychological distress to a generic health state measure (EQ-5D) in order to estimate health state values and allow deriving quality-adjusted life years. Methods – Relationship between mental health and HRQL was examined from the 2004 Canary Islands’ Health Survey. Participants were classified as probable psychiatric cases according to GHQ-12. HRQL was measured by the EQ-5D index. Multivariate lineal regression analysis was used to examine the association between mental health and HRQL adjusting by socio-demographic variables and comorbidities. A multivariate regression model was built from EQ-5D to estimate health states values using GHQ-12 as exposure. Results – EQ-5D index scores decreased as the GHQ-12 scores increased. Clinical and socio-demographic factors influenced HRQL without changing the overall trend for this negative relationship. The regression equation explained 43% of the variance. For estimation of utility scores, the model showed a high predictive capacity, with a mean forecast errors of 16%. Conclusions – HRQL progressively decreased when the probability of being a psychiatric case increased. Findings enable health state values to be derived from GHQ-12 scores for populations where utilities has not or cannot be measured directly.Declaration of Interest: Authors declare no conflicts of interest. This work was supported by the Quality Plan for the National Health Service (Spanish Ministry of Health and Social Policy).


2019 ◽  
Author(s):  
Paul Schneider

In economic evaluations of health technologies, health outcomes are commonly measured in terms of QALYs. QALYs are the product of time and health-related quality of life. Health-related quality of life, in turn, is determined by a social tariff, which is supposed to reflect the public’s preference over health states. This paper argues that, because of the tariff’s role in the societal decision making process, it should not be understood as merely a statistical model, but as a major instrument of democratic participation. I outline what implications this might have for both the method used to aggregate individual preferences, and the set of individuals whose preferences should count. Alternative tariff specifications are explored, and future research directions are proposed.


2002 ◽  
Vol 3 (4) ◽  
pp. 241-252
Author(s):  
Ya-Ting Chan

In a climate of economic scarcity, decisions about the allocation of healthcare resources need to be made explicit. An economic evaluation is able to identify and quantify the relationship between an input of resources and an output, hence to appreciate the efficiency of the project. One of the recent methodological approaches that has been used increasingly in health economic evaluations is the ‘cost-utility analysis’ (CUA). CUA considers benefits in utility terms and uses a unique index to assess them. We investigated the generic measurements of health related quality of life in the economic evaluation. Different instruments for evaluating quality of life and utility were categorized and briefly introduced. Literatures published in the journal “PharmacoEconomics” in 1997-2001 regarding quality of life and utility were reviewed. We were especially interested in the application of health profile SF-36 and utility measure EQ-5D. Selected articles were further analyzed and some issues concerning the methodologies of quality of life and utility are discussed.


2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Dana Drzayich Antol ◽  
Adrianne Waldman Casebeer ◽  
Raya Khoury ◽  
Todd Michael ◽  
Andrew Renda ◽  
...  

An amendment to this paper has been published and can be accessed via the original article.


2021 ◽  
Vol 70 ◽  
pp. 102623
Author(s):  
Gina Martin ◽  
Megan Graat ◽  
Alina Medeiros ◽  
Andrew F. Clark ◽  
Brenton L.G. Button ◽  
...  

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