Comparison of Contemporaneous EQ-5D and SF-6D Responses Using Scoring Algorithms Derived from Similar Valuation Exercises

Jul 1, 2014, 00:00
10.1016/j.jval.2014.03.1720
https://www.valueinhealthjournal.com/article/S1098-3015(14)01781-1/fulltext
Title : Comparison of Contemporaneous EQ-5D and SF-6D Responses Using Scoring Algorithms Derived from Similar Valuation Exercises
Citation : https://www.valueinhealthjournal.com/action/showCitFormats?pii=S1098-3015(14)01781-1&doi=10.1016/j.jval.2014.03.1720
First page : 570
Section Title : Preference-Based Assessments
Open access? : No
Section Order : 10

Objectives

Poor agreement between preference-based health-related quality-of-life instruments has been widely reported across patient and community-based samples. This study compares index scores generated from contemporaneous EQ-5D (3-level version) and SF-6D (SF-36 version) responses using scoring algorithms derived from independently-conducted Australian population-representative discrete choice experiments (DCEs), providing the first comparative analysis of health state valuations using the same method of valuation across the full value sets.

Methods

EQ-5D and SF-6D responses from seven patient data sets were transformed into health state valuations using published DCE-derived scoring algorithms. The empirical comparative evaluation consisted of graphical illustration of the location and spread of index scores, reporting of basic descriptive statistics, exploration of between-measure differences in mean index scores, and analysis of agreement.

Results

Compared with previously published findings regarding the comparability of “conventional” EQ-5D and SF-6D index scores, health state valuations from the DCE-derived scoring procedures showed that agreement between scores remained “fair” (intraclass correlation coefficient values across the seven data sets ranged from 0.375 to 0.615). Mean SF-6D scores were significantly lower than the respective mean EQ-5D score across all patient groups (mean difference for the whole sample = 0.253).

Conclusions

The magnitude of disagreement previously reported between EQ-5D and SF-6D index scores is not ameliorated through the application of DCE-derived value sets; sizeable discrepancies remain. These findings suggest that differences between EQ-5D and SF-6D index scores persist because of their respective descriptive systems. Further research is required to explore the implications of variations in the descriptive systems of preference-based instruments.

Categories :
  • Artificial Intelligence, Machine Learning, Predictive Analytics
  • Methodological & Statistical Research
  • Patient Behavior and Incentives
  • Patient Engagement
  • Patient-Centered Research
  • Patient-reported Outcomes & Quality of Life Outcomes
  • Preference Methods
Tags :
  • comparative analysis
  • discrete choice experiment
  • EQ-5D
  • SF-6D
  • standard gamble
  • time trade-off
Regions :
  • Asia Pacific (including Oceania)
ViH Article Tags :