Evidence map›Paper›PMID 28871490›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2018

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 de Kinderen, Silvia M A A Evers, Paul McCrone

Open access · hybridAbstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
14.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Psychometric properties of the EQ-5D-5L: a systematic review of the literature.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
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  12. Mapping analysis to predict SF-6D utilities from health outcomes in people with focal epilepsy.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 4 countries.

Ben F M WijnenDepartment of Health Services Research, CAPHRI School of Public Health and Primary Care, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands. b.wijnen@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0001-7993-1905
Iris MosweuKing's Health Economics (KHE), Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK.
Marian H J M MajoieDepartment of Research and Development, Epilepsy Centre Kempenhaeghe, Heeze, The Netherlands.
Leone RidsdaleDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK.
Reina J A de KinderenDepartment of Health Services Research, CAPHRI School of Public Health and Primary Care, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
Silvia M A A EversDepartment of Health Services Research, CAPHRI School of Public Health and Primary Care, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
Paul McCroneKing's Health Economics (KHE), Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK.
King's College London · GBMaastricht University · NLMaastricht University Medical Centre · NL

Funding

Department of Health 09/165/01Health Technology Assessment Programme project number 09/165/01Netherlands Organization for Health Research and Development grant application number 836011018
6 · The paper itself

Abstract

objectiveTo 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.

methodsThe 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.

resultsA 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

conclusionsResults 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.

Indexed as

Quality of LifeAdolescentAdultAgedEpilepsyFemaleHumansMaleMiddle AgedNetherlandsPsychometricsReproducibility of ResultsSurveys and QuestionnairesYoung AdultEpilepsyMappingQuality of lifeResponsiveness

Identifiers

PMID28871490
PMCPMC6008365
OpenAlexW2750954924

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.