Methods for Analysing and Reporting EQ-5D Data

David Parkin, Bas Janssen, Nancy Devlin

ISBN 10: 3030476243 / ISBN 13: 9783030476243

Published by Springer Nature Switzerland AG, CH, 2020

About this Item

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 methodsdescribed will be equally relevant to other Patient Reported Outcomes instruments.

Seller Inventory # LU-9783030476243

Bibliographic Details

• Title: Methods for Analysing and Reporting EQ-5D Data
• Publisher: Springer Nature Switzerland AG, CH
• Publication Date: 2020
• Language: English
• ISBN 10: 3030476243
• ISBN 13: 9783030476243
• Binding: Paperback
• Edition: 2020 ed.
• Condition: New
• Dimensions: 15.49W x 0.74H x 23.5D centimeters 15.49 centimeters width by 0.74 centimeters height by 23.5 centimeters depth

About this title

Synopsis

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 methodsdescribed will be equally relevant to other Patient Reported Outcomes instruments.