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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
Örebro University, School of Medical Sciences. Department of Orthopedic.ORCID iD: 0000-0002-7931-9617
Örebro University, School of Medical Sciences. Örebro University Hospital. Department of Orthopedics.ORCID iD: 0000-0002-7376-4664
Örebro University, School of Medical Sciences. Örebro University Hospital. University Health Care Research Center.ORCID iD: 0000-0002-2559-5456
2021 (English)In: Quality of Life Research, ISSN 0962-9343, E-ISSN 1573-2649, Vol. 30, p. 1467-1475Article in journal (Refereed) Published
Abstract [en]

PURPOSE: The 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.

METHODS: Patients, 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).

RESULTS: There 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.

CONCLUSIONS: We 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.

Place, publisher, year, edition, pages
Springer, 2021. Vol. 30, p. 1467-1475
Keywords [en]
Cross-cultural comparisons, Density functions, EQ-5D-3L, Health-related quality of life, Preference weights
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:oru:diva-88543DOI: 10.1007/s11136-020-02749-2ISI: 000607970900001PubMedID: 33449340Scopus ID: 2-s2.0-85100053532OAI: oai:DiVA.org:oru-88543DiVA, id: diva2:1519053
Available from: 2021-01-18 Created: 2021-01-18 Last updated: 2024-01-02Bibliographically approved

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Joelson, AndersSigmundsson, Freyr GautiKarlsson, Jan

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