How to Analyse EQ-5D Data? Methods for Analysing and Reporting EQ-5D Data: The Indispensable New Guide

“Methods for Analysing and Reporting EQ-5D Data” is the first published guide on how to analyse data produced by the EQ-5D. The official launch of this new, open-access book will take place as an online event on Tuesday 15th December, 13.00-14.00 GMT.

“Methods for Analysing and Reporting EQ-5D Data” is the first published guide on how to analyse data produced by the EQ-5D. The official launch of this new, open-access book will take place as an online event on Tuesday 15^th December, 13.00-14.00 GMT. 

“EQ-5D is the most widely used measure of patient reported outcomes (PRO) around the world. For a couple of decades now, it has been used in clinical trials, observational studies, population health surveys and – more recently – in routine data collection in health care systems. (…) EQ-5D has become the cornerstone of health technology appraisal (HTA), affecting important decisions about access to new medicines. But despite all that, EQ-5D data are often under-reported, and inadequately analysed. The bottom line is – if you collect these data from your patients, you should be committed to making sure you learn as much as possible from what they tell you.“

The text above is an extract from the Office of Health Economics (OHE) blog post “5 Things You Should Do with EQ-5D Data” written by Professor Nancy Devlin (OHE’s then Director of Research, now Senior Visiting Fellow). Nancy’s message immediately resonated in the health economics world, generating a very high number of visits in the first month after its publication (February 2016). Undoubtedly, Nancy’s blog was so popular because it provided something long overdue in the EQ-5D literature: clear recommendations on what to do (and/or not to do) with EQ-5D data. We like to think that Nancy’s powerful blog was also calling for a change in the scope of outcomes’ research: moving from the initial stages of measuring and valuing outcomes to the (less ‘academic’ but equally essential) phases of appropriately analysing and reporting EQ-5D data.

That short but compelling blog was the first step in the creation of a practical, transparent, comprehensive (and open access) book that provides guidance for the analysis of EQ-5D data: Methods for Analysing and Reporting EQ-5D Data. In this book, Professor David Parkin (Senior Visiting Fellow at OHE) and Dr Bas Janssen (EuroQol Research Foundation) join forces with Nancy to fill the gap in the literature highlighted by her blog, a blog that is still very much ‘alive’,  as it is often among the most accessed per month, even five years after its publication.

This open access book is the first published guide on how to analyse EQ-5D data, with a focus on the underlying measurement properties of the EQ-5D and how they affect the analysis and reporting of these data.

Although it has been online for a while, the official launch of the new book will take place digitally on Tuesday 15^th December, 13.00-14.00 GMT. The launch provides a great opportunity to find out more about the content and the ideas behind the book. The event will be introduced and chaired by Professor Paul Kind, followed by presentations and a Q&A session involving the book’s authors. Elly Stolk, Scientific Team Leader at EuroQol, will provide closing remarks.

If you would like to join the launch event, please register by clicking the following link.

Methods for Analysing and Reporting EQ-5D Data is now available online and can be downloaded here

Citation

Devlin, N.J. & Brooks, R. (2017) EQ-5D and the EuroQol Group: Past, Present and Future. Applied Health Economics and Health Policy. 15 (2), 127–137.

Devlin N, Parkin D, Janssen B. Methods for Analysing and Reporting EQ-5D Data [Internet]. Springer International Publishing; 2020. Available from: http://link.springer.com/10.1007/978-3-030-47622-9

Related Research

Zamora, B., Parkin, D., Feng, Y., Bateman, A., Herdman, M. & Devlin, N. (2018) New Methods for Analysing the Distribution of EQ-5D Observations. OHE Research Paper. London: Office of Health Economics.