Patient‐reported outcome measures in the NHS: new methods for analysing and reporting EQ‐5D data

B-Tier
Journal: Health Economics
Year: 2010
Volume: 19
Issue: 8
Pages: 886-905

Authors (3)

Nancy J. Devlin (not in RePEc) David Parkin (Office of Health Economics) John Browne (not in RePEc)

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

In a landmark move, the UK Department of Health (DH) has introduced the routine collection of patient‐reported outcome measures (PROMs) to measure the performance of health‐care providers. From April 2009, generic (EQ‐5D) and condition‐specific PROMs are being collected from patients before and after four surgical procedures; eventually this will be extended to include a wide range of other NHS services. The aim of this article is to report analysis of the EQ‐5D data generated from a pilot study commissioned by the DH and to consider the implications for the use of EQ‐5D data in performance indicators and measures of patient benefit. We present two new methods that we have developed for analysing and displaying EQ‐5D profile data: a Paretian Classification of Health Change and a health profile grid. We show that EQ‐5D profile data can be readily analysed to generate insights into the nature of changes in patient‐reported health that would be obscured by summarising these profiles by their index scores, or focusing just on the post operative outcomes. Our methods indicate differences between providers and between sub‐groups of patients. Our results also show striking differences in changes in EQ‐5D profiles between surgical procedures, which require further investigation. Copyright © 2010 John Wiley & Sons, Ltd.

Technical Details

RePEc Handle
repec:wly:hlthec:v:19:y:2010:i:8:p:886-905
Journal Field
Health
Author Count
3
Added to Database
2026-01-25