Methods for Analysing and Reporting Eq-5d Data

ISBN-13: 9783030476212 / Angielski / Twarda / 2020 / 102 str.

Nancy Devlin; David Parkin; Bas Janssen

Spis treści

Foreword

 

Preface

 

Chapter 1 An introduction to EQ-5D instruments and their applications

 

1.1  Measuring health using the EQ-5D

1.2  What does the EQ-5D measure?

1.2.1 The EQ-5D self-reported health state (EQ-5D profile)

1.2.2 EQ VAS

1.2.3 EQ-5D values

1.2.4 What aspect of the information provided by the EQ-5D should be the primary focus on my analysis?

1.3  EQ-5D data collection and data handling

1.4  Before starting your analysis

1.4.1Treatment of missing data – what to do, what not to do

1.4.2 Planning your analysis

1.5 Guide to the rest of this book

References

 

 

Chapter 2 Analysis of EQ-5D profile data

 

2.1 Cross-sectional analysis: describing health at a point in time by dimension and level

2.2 Longitudinal analysis: describing changes in health between two time points by dimension and level

2.3 Cross sectional analysis: describing health at a point in time using profiles

2.4 Longitudinal analysis: describing changes in health between two points in time using profiles

2.4.1 The Paretian Classification of Health Change (PCHC)

2.4.2 The probability of superiority

2.4.3 Health Profile Grid (HPG)

2.5 Summarising the severity of EQ-5D profiles

2.5.1 The level sum score (LSS)

2.5.2 The level frequency score (LFS)

2.6 Analysing the informativity of EQ-5D profile data

2.6.1 Shannon Indices

2.6.2 Health State Density Curve (HSDC)

2.6.3 Health State Density Index (HSDI) and other related indices

References

 

Chapter 3 Analysis of EQ VAS data

 

3.1 Interpreting the EQ VAS

3.2 Simple descriptive statistics and inference

3.3 Modelling determinants of EQ VAS scores

References

 

 

Chapter 4 Analysis of EQ-5D values

 

4.1 Value sets and their properties

4.2 Positive and normative considerations in choice of value set

4.3 Simple descriptive statistics and inference

4.4 Examining the distribution of EQ-5D values

4.5 Variance and heteroskedasticity

4.6 exploring clusters in EQ-5D value distributions

4.7 Regression analysis

4.8 Uncertainty and sensitivity analysis

References

 

Chapter 5 Advanced topics

 

5.1 Analysing changes and differences in EQ-5D values and EQ VAS scores

5.1.1 Defining the outcomes of an intervention study as a change

5.1.2 Minimal Important Differences (MIDs)

·       Using EQ-5D MIDs

·       MID estimation methods

5.1.3 Case-mix and risk adjustment of EQ-5D data

5.2 Mapping

References

 

 

Glossary of terms

 

Blurb

This open access book is the first published guide about how to analyse data produced by the EQ-5D, one of the most widely used Patient Reported Outcomes questionnaires world wide. The authors provide practical, clear and comprehensive guidance in five concise chapters.  Following an overview of the EQ-5D and its analysis, we describe how the questionnaire data – the EQ-5D profile and EQ VAS – can be analysed in different ways to generate important insights into peoples’ health. We then show how the value sets which accompany the EQ-5D can be applied to summarise patients’ data. The final chapter deals with advanced topics, including the use of Minimally Important Differences, case-mix adjustment, mapping, and more.  This book is essential for those new to analyzing EQ-5D data and will be also be valuable for those with more experience. The methods can be applied to any EQ-5D instrument (for example, the three- and five-level and Youth versions) and many of the methods described will be equally relevant to other Patient Reported Outcomes instruments.