Value sets for EQ-5D-5L : : a compendium, comparative review & user guide / / N. J. Devlin, Bram Roudijk, Kristina Ludwig, editors.

• Author: Devlin, Nancy.
• TeilnehmendeR: Roudijk, Bram.; Ludwig, Kristina.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2022.; ©2022.
• Year of Publication: 2022
• Language: English
• Physical Description: 1 online resource (290 pages)

This open access book provides an essential guide to value sets for anyone working with EQ-5D-5L data. The EQ-5D-5L is one of the most widely used health related quality of life questionnaires around the world, with applications in clinical trials, population health surveys and routine outcomes meas...

Table of Contents

• Intro
• Foreword by Michael Drummond
• Foreword by Kim Rand
• Preface
• Acknowledgements
• Contents
• About the Editors
• Contributors
• Chapter 1: The Development of the EQ-5D-5L and its Value Sets
• 1.1 The EQ-5D as an Instrument for Measuring and Valuing Health
• 1.2 The Development of the EQ-5D-5L
• 1.3 The need for EQ-5D-5L Values
• 1.4 The Aims of this Book
• References
• Chapter 2: The Development and Strengthening of Methods for Valuing EQ-5D-5L - An Overview
• 2.1 Development of the EQ-VT Protocol
• 2.2 Description of the EQ-VT Protocol
• 2.2.1 Contents of the Protocol
• 2.2.2 Why the cTTO Task was Adopted
• 2.2.3 Why the DCE Task was Adopted
• 2.2.4 Value Set Generation
• 2.3 How the EQ-VT Protocol Updates Evolved
• 2.4 Lessons Learned
• 2.5 Concluding Remarks
• References
• Chapter 3: Experimental Design for the Valuation of the EQ-5D-5L
• 3.1 Introduction
• 3.2 EQ-VT Designs
• 3.2.1 cTTO Design
• 3.2.2 DCE Design
• 3.2.3 Other Considerations
• 3.3 Alternative cTTO Designs
• 3.4 Future Research
• Appendices
• Appendix A: Construction for Level Balance Optimisation Criterion
• Appendix B: The cTTO design of the EQ-VT
• Appendix C: The DCE design of the EQ-VT
• Appendix D: The Design Used in the Peruvian EQ-5D-5L Valuation Study
• References
• Chapter 4: EQ-5D-5L Value Set Summaries
• 4.1 Introduction
• 4.2 Methods
• 4.3 Country-by-Country Overview of Value Sets
• 4.3.1 Wave 1
• 4.3.1.1 Country/Region: Canada (Table 4.1)
• 4.3.1.2 Country/Region: China (Table 4.5)
• 4.3.1.3 Country/Region: England (Table 4.9)
• 4.3.1.4 Country/Region: Netherlands (Table 4.13)
• 4.3.1.5 Country/Region: Spain (Table 4.17)
• 4.3.2 Wave 2
• 4.3.2.1 Country/Region: Japan (Table 4.21)
• 4.3.2.2 Country/Region: Korea (Table 4.25)
• 4.3.2.3 Country/Region: Thailand (Table 4.29).
• 4.3.2.4 Country/Region: Uruguay (Table 4.33)
• 4.3.2.5 Country/Region: Hong Kong (Table 4.37)
• 4.3.3 Wave 3
• 4.3.3.1 Country/Region: France (Table 4.41)
• 4.3.3.2 Country/Region: Germany (Table 4.45)
• 4.3.3.3 Country/Region: Indonesia (Table 4.49)
• 4.3.3.4 Country/Region: Ireland (Table 4.53)
• 4.3.3.5 Country/Region: Malaysia (Table 4.57)
• 4.3.3.6 Country/Region: Poland (Table 4.61)
• 4.3.3.7 Country/Region: Portugal (Table 4.65)
• 4.3.3.8 Country/Region: Taiwan (Table 4.69)
• 4.3.3.9 Country/Region: Denmark (Table 4.73)
• 4.3.3.10 Country/Region: Ethiopia (Table 4.77)
• 4.3.3.11 Country/Region: Hungary (Table 4.81)
• 4.3.3.12 Country/Region: Mexico (Table 4.85)
• 4.3.3.13 Country/Region: Peru (Table 4.89)
• 4.3.3.14 Country/Region: United States (Table 4.93)
• 4.3.3.15 Country/Region: Vietnam (Table 4.97)
• Chapter 5: Guidance to Users of EQ-5D-5L Value Sets
• 5.1 Introduction
• 5.2 Which Value Set Should Be Used to Estimate QALYs? - An Overview
• 5.2.1 End Users' Requirements and Recommendations
• 5.2.2 Relevance to the Population to Whom the Analysis Refers
• 5.2.3 Empirical Characteristics of the Value Sets
• 5.2.4 Transparency and Uncertainty
• 5.3 Which Value Set to Use in 'Non-QALY' Applications - An Overview
• 5.4 Choosing Value Sets - Some Further Considerations
• 5.4.1 Relevance to the Decision-Making Context
• 5.4.2 The Theoretical Properties of Values and Value Sets
• 5.5 Concluding Remarks
• References
• Chapter 6: How Do EQ-5D-5L Value Sets Differ?
• 6.1 Introduction
• 6.2 Methods
• 6.2.1 Analysing Differences Between Value Sets
• 6.2.2 Defining Preference Patterns and the Performance of These Patterns
• 6.3 Differences Between Value Sets
• 6.3.1 Relative Importance of the Dimensions
• 6.3.2 Marginal Value Decrements of Moving from One Level to Another.
• 6.3.3 Scale Length and Location of the Descriptive Midpoint on the Health Utility Scale
• 6.4 Identifying Preference Patterns
• 6.5 How Do These Preference Patterns Perform?
• 6.6 Discussion
• 6.6.1 Main Findings
• 6.6.2 Preference Patterns
• 6.6.3 Data Quality and Modelling Strategies
• 6.6.4 Differences Between Value Sets Between and Within Preference Patterns
• 6.6.5 Limitations
• 6.7 Conclusions
• References
• Chapter 7: Where Next for EQ-5D-5L National Value Sets and the EQ-VT Protocol?
• 7.1 Introduction
• 7.2 Future Directions for Improvements in the EQ-VT - An Overview
• 7.2.1 What Methods to Use?
• 7.2.2 Procedural Aspects
• 7.2.3 Analysis and Modelling
• 7.3 Developing Alternative Approaches and Answering Different Questions
• 7.4 Making Scientific and Social Value Judgements About Value Sets
• 7.5 Adapting to Change
• 7.6 Concluding Remarks
• References
• Glossary of EQ-5D Terms
• References.