Methods for Analysing and Reporting EQ-5D Data

Nancy Devlin

ISBN 10: 3030476243 / ISBN 13: 9783030476243

Published by Springer International Publishing Sep 2020, 2020

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 120 pp. Englisch.

Seller Inventory # 9783030476243

Bibliographic Details

• Title: Methods for Analysing and Reporting EQ-5D Data
• Publisher: Springer International Publishing Sep 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 3030476243
• ISBN 13: 9783030476243
• Binding: Taschenbuch
• Condition: Neu

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.