Methods for Analysing and Reporting EQ-5D Data
Devlin, Nancy
Venduto da Chiron Media, Wallingford, Regno Unito
Venditore AbeBooks dal 2 agosto 2010
Nuovi - Brossura
Condizione: Nuovo
Quantità: 1 disponibili
Aggiungere al carrelloVenduto da Chiron Media, Wallingford, Regno Unito
Venditore AbeBooks dal 2 agosto 2010
Condizione: Nuovo
Quantità: 1 disponibili
Aggiungere al carrelloCodice articolo 6666-GRD-9783030476243
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.
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.
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