Methods for Analysing and Reporting EQ-5D Data

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Methods for Analysing and Reporting EQ-5D Data

Nancy Devlin - Personal Name; David Parkin - Personal Name; Bas Janssen - Personal Name;

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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Series Title: -
Call Number: -
Publisher: : Springer International Publishing., 2020
Collation: XV, 102 ill; lamp
Language: English
ISBN/ISSN: 9783030476229
Classification: -
Content Type: text
Media Type: computer
Carrier Type: online resource
Edition: 1
Subject(s): Public Health
Quality of Life Research
Biomedicine
Specific Detail Info: The first Open Access book to offer practical and comprehensive advice on analysing EQ-5D data The Open Access book is unique in showing how important insights can be obtained from patients’ EQ-5D data - even before applying ‘value sets’ Written by three leading experts on the analysis of EQ-5D
Statement of Responsibility: Nancy Devlin , David Parkin , Bas Janssen

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Source: https://link.springer.com/book/10.1007/978-3-030-47622-9
Validator: ida
Digital Object Identifier (DOI): https://doi.org/10.1007/978-3-030-47622-9
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Journal Issue: -
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