Methods for Analysing and Reporting EQ-5D Data

David Parkin, Bas Janssen, Nancy Devlin

ISBN 10: 3030476243 / ISBN 13: 9783030476243

Editore: Springer Nature Switzerland AG, CH, 2020

Riguardo questo articolo

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.

Codice articolo LU-9783030476243

Dati bibliografici

• Titolo: Methods for Analysing and Reporting EQ-5D Data
• Editore: Springer Nature Switzerland AG, CH
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030476243
• ISBN 13: 9783030476243
• Rilegatura: Paperback
• Edizione: 2020 ed.
• Condizione: New
• Dimensioni: 15,49 L x 0,74 A x 23,5 P centimetri 15,49 centimetri di larghezza per 0,74 centimetri di altezza per 23,5 centimetri di profondità

Descrizione articolo

Riassunto

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.