Record ID | marc_oapen/convert_oapen_20201117.mrc:26467472:3258 |
Source | marc_oapen |
Download Link | /show-records/marc_oapen/convert_oapen_20201117.mrc:26467472:3258?format=raw |
LEADER: 03258namaa2200469uu 450
001 https://library.oapen.org/handle/20.500.12657/41288
005 20200813
020 $a978-3-030-47622-9
024 7 $a10.1007/978-3-030-47622-9$cdoi
041 0 $aEnglish
042 $adc
072 7 $aMBGR$2bicssc
072 7 $aMBN$2bicssc
072 7 $aMBNH$2bicssc
100 1 $aDevlin, Nancy$4auth
700 1 $aParkin, David$4auth
700 1 $aJanssen, Bas$4auth
245 10 $aMethods for Analysing and Reporting EQ-5D Data
260 $bSpringer Nature$c2020
300 $a1 electronic resource (102 p.)
506 0 $aOpen Access$2star$fUnrestricted online access
520 $aThis 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 book provides the first guidance for users of the EQ-5D, a widely used measure of patient reported health around the world, on how to analyse data Provides detailed and comprehensive guidance on methods for analysing and reporting EQ-5D data The book is accompanied by code, in R, SPSS, STATA and SAS to allow users to implement the methods on their own data The book is accompanied by a slide deck, for use by instructors wishing to teach the methods
540 $aCreative Commons$fby/4.0/$2cc$4http://creativecommons.org/licenses/by/4.0/
546 $aEnglish
650 7 $aMedical research$2bicssc
650 7 $aPublic health & preventive medicine$2bicssc
650 7 $aPersonal & public health$2bicssc
653 $aBiomedicine, general
653 $aPublic Health
653 $aQuality of Life Research
653 $aBiomedical Research
653 $aEQ-5D
653 $aOpen Access
653 $apatient reported outcomes (PROs)
653 $ahealth related quality of life (HRQoL)
653 $aquality of life
653 $aQALYs
653 $aMedical research
653 $aPublic health & preventive medicine
653 $aPersonal & public health
856 40 $awww.oapen.org$uhttps://library.oapen.org/bitstream/id/51092ff7-00ae-4d52-a21e-63ab90499d68/2020_Book_MethodsForAnalysingAndReportin.pdf$70$zOAPEN Library: download the publication
856 40 $awww.oapen.org$uhttps://library.oapen.org/handle/20.500.12657/41288$70$zOAPEN Library: description of the publication