Methods for Analysing and Reporting EQ-5D Data
Devlin, Nancy; Parkin, David; Janssen, Bas
Sold by Biblios, Frankfurt am main, HESSE, Germany
AbeBooks Seller since September 10, 2024
New - Soft cover
Condition: New
Quantity: 4 available
Add to basketSold by Biblios, Frankfurt am main, HESSE, Germany
AbeBooks Seller since September 10, 2024
Condition: New
Quantity: 4 available
Add to basketPRINT ON DEMAND pp. XV, 102 34 illus., 26 illus. in color.
Seller Inventory # 18384560462
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.
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.
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