EconPapers    
Economics at your fingertips  
 

A comparison of the responsiveness of EQ-5D-5L and the QOLIE-31P and mapping of QOLIE-31P to EQ-5D-5L in epilepsy

Ben F. M. Wijnen (), Iris Mosweu, Marian H. J. M. Majoie, Leone Ridsdale, Reina J. A. Kinderen, Silvia M. A. A. Evers and Paul McCrone
Additional contact information
Ben F. M. Wijnen: Maastricht University
Iris Mosweu: Institute of Psychiatry, Psychology and Neuroscience at King’s College London
Marian H. J. M. Majoie: Epilepsy Centre Kempenhaeghe
Leone Ridsdale: Institute of Psychiatry, Psychology and Neuroscience at King’s College London
Reina J. A. Kinderen: Maastricht University
Silvia M. A. A. Evers: Maastricht University
Paul McCrone: Institute of Psychiatry, Psychology and Neuroscience at King’s College London

The European Journal of Health Economics, 2018, vol. 19, issue 6, 861-870

Abstract: Abstract Objective To investigate the responsiveness of and correlation between the EQ-5D-5L and the QOLIE-31P in patients with epilepsy, and develop a mapping function to predict EQ-5D-5L values based on the QOLIE-31P for use in economic evaluations. Methods The dataset was derived from two clinical trials, the ZMILE study in the Netherlands and the SMILE study in the UK. In both studies, patients’ quality of life using the EQ-5D-5L and QOLIE-31P was measured at baseline and 12 months follow-up. Spearman’s correlations, effect sizes (EF) and standardized response means (SRM) were calculated for both the EQ-5D-5L and QOLIE-31P domains and sub scores. Mapping functions were derived using ordinary least square (OLS) and censored least absolute deviations models. Results A total of 509 patients were included in this study. Low to moderately strong significant correlations were found between both instruments. The EQ-5D-5L showed high ceiling effects and small EFs and SRMs, whereas the QOLIE-31P did not show ceiling effects and also showed small to moderate EFs and SRMs. Results of the different mapping functions indicate that the highest adjusted R 2 we were able to regress was 0.265 using an OLS model with squared terms, leading to a mean absolute error of 0.103. Conclusions Results presented in this study emphasize the shortcomings of the EQ-5D-5L in epilepsy and the importance of the development of condition-specific preference-based instruments which can be used within the QALY framework. In addition, the usefulness of the constructed mapping function in economic evaluations is questionable.

Keywords: Mapping; Responsiveness; Quality of life; Epilepsy (search for similar items in EconPapers)
JEL-codes: D61 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1007/s10198-017-0928-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:eujhec:v:19:y:2018:i:6:d:10.1007_s10198-017-0928-0

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10198/PS2

Access Statistics for this article

The European Journal of Health Economics is currently edited by J.-M.G.v.d. Schulenburg

More articles in The European Journal of Health Economics from Springer, Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla ().

 
Page updated 2019-11-06
Handle: RePEc:spr:eujhec:v:19:y:2018:i:6:d:10.1007_s10198-017-0928-0