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Rasch analysis of the EQ-5D-3L and the EQ-5D-5L in persons with back and neck pain receiving physiotherapy in a primary care context
Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Section of Physiotherapy.
Umeå University, Faculty of Medicine, Department of Epidemiology and Global Health. Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine. Municipality of Östersund, Health and Social Care Administration, Östersund, Sweden.ORCID iD: 0000-0002-1087-8656
Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Section of Physiotherapy.ORCID iD: 0000-0002-9231-3594
2019 (English)In: European Journal of Physiotherapy, ISSN 2167-9169, E-ISSN 2167-9177Article in journal (Refereed) Epub ahead of print
Abstract [en]

Aim: The purpose of this study was to investigate the psychometric properties of the EQ-5D-3L and the EQ-5D-5L in patients with back and neck pain.

Materials and methods: Participants from two independent clinical survey studies was included in this study. In total 164 participants were answering either the EQ-5D-3L or the EQ-5D-5L after their visit to a physiotherapist in primary care for back and neck pain. Rasch analysis was performed to measure the psychometric properties of the two instruments.

Main findings: Overall, the EQ-5D-5L showed preliminary evidence of good psychometric properties. The items in both the EQ-5D-5L and the EQ-5D-3L showed acceptable goodness-of-fit indicating unidimensionality for both instruments measuring the concept health-related quality of life. All test persons fit the model, but the person separation reliability and person separation index were only barely acceptable for the EQ-5D-5L.

Conclusions: The results indicate that the EQ-5D-5L should be the preferred option when evaluating health-related quality of life with the EQ-5D, especially for patients with back and neck pain.

Place, publisher, year, edition, pages
Taylor & Francis, 2019.
Keywords [en]
EQ-5D, psychometric analysis, instrument development, health-related quality of life, primary health care
National Category
Physiotherapy
Identifiers
URN: urn:nbn:se:umu:diva-164008DOI: 10.1080/21679169.2019.1646801ISI: 000490517900001OAI: oai:DiVA.org:umu-164008DiVA, id: diva2:1360427
Available from: 2019-10-12 Created: 2019-10-12 Last updated: 2019-11-05

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Zingmark, MagnusStenberg, Gunilla
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Section of PhysiotherapyDepartment of Epidemiology and Global HealthDepartment of Public Health and Clinical Medicine
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