Value sets for EQ-5D-5L : a compendium, comparative review & user guide

Value sets for EQ-5D-5L a compendium, comparative review & user guide

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...

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Detalles Bibliográficos
Autor principal: Devlin, Nancy (-)
Otros Autores: Roudijk, Bram, Ludwig, Kristina
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham Springer Nature 2022
Cham : 2022.
Materias:
Data sets.
Medical economics.
Quality of life > Research.
Questionnaires > Data processing.
Social issues & processes
Health economics
Qualitat de vida
Enquestes
Conjunts de dades
EQ-5D-5L
Value Set
Methodology
Compendium of Value Sets
Valuation Protocol
Valuation
Llibres electrònics
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009660361006719
Tabla de Contenidos:
  • 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.

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