Evidence map›Paper›PMID 33449340›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2021

Properties of the EQ-5D-3L index distribution when longitudinal data from 27,328 spine surgery procedures are applied to nine national EQ-5D-3L value sets.

Anders Joelson, Freyr Gauti Sigmundsson, Jan Karlsson

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Anders JoelsonDepartment of Orthopedics, Orebro University School of Medical Sciences and Orebro University Hospital, Orebro, Sweden. anders@joelson.se.ORCID http://orcid.org/0000-0002-7931-9617
Freyr Gauti SigmundssonDepartment of Orthopedics, Orebro University School of Medical Sciences and Orebro University Hospital, Orebro, Sweden.
Jan KarlssonUniversity Health Care Research Center, Faculty of Medicine and Health, Orebro University, Orebro, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of the current study was to apply a single large longitudinal EQ-5D-3L data set to several national EQ-5D-3L value sets and explore differences in EQ-5D-3L index density functions and effect sizes before and after treatment.

methodsPatients, surgically treated for lumbar spinal stenosis or lumbar disk herniation between 2007 and 2017, were recruited from the national Swedish spine register. A total of 27,328 procedures were eligible for analysis. The EQ-5D health states were coded to EQ-5D-3L summary indices using value sets for 9 countries: Argentina, Australia, Canada, China, Germany, Italy, Sweden, the UK, and the US. The EQ-5D-3L summary index distributions were then estimated with kernel density estimation. The change in EQ-5D-3L index before and after treatment was evaluated with the standardized response mean (SRM).

resultsThere was a high variability in the resulting EQ-5D-3L index density functions. There were also considerable differences in EQ-5D-3L index density functions before and after treatment using the same value set. Effect sizes of 2-year change (SRM), however, were similar when the 9 value sets were applied on pre- and post-treatment data.

conclusionsWe found a marked variability in EQ-5D-3L index density functions when a single large data set was applied to 9 national EQ-5D-3L value sets. Consequently, studies that aggregate international data, e.g. meta-analyses, may produce misleading results if the underlying differences in EQ-5D-3L index density functions are inadequately handled. On the basis of the results of our study, we recommend against pooling of different national EQ-5D-3L index data.

Indexed as

ArgentinaAustraliaCanadaChinaFemaleGermanyHumansItalyLongitudinal StudiesMaleQuality of LifeSpineSurveys and QuestionnairesSwedenUnited KingdomUnited StatesCross-cultural comparisonsDensity functionsEQ-5D-3LHealth-related quality of lifePreference weights

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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.