Kolovos, S., Bosmans, J.E., Van Dongen, J.M. et al. (9 more authors) (2017) Utility scores for different health states related to depression:individual participant data analysis. Quality of life research. pp. 1649-1658. ISSN 1573-2649
Abstract
ObjectivesDepression is associated with considerable impairments in health-related quality-of-life. However, the relationship between different health states related to depression severity and utility scores is unclear. The aim of this study was to evaluate whether utility scores are different for various health states related to depression severity.MethodsWe gathered individual participant data from ten randomized controlled trials evaluating depression treatments. The UK EQ-5D and SF-6D tariffs were used to generate utility scores. We defined five health states that were proposed from American Psychiatric Association and National Institute for Clinical Excellence guidelines: remission, minor depression, mild depression, moderate depression, and severe depression. We performed multilevel linear regression analysis.ResultsWe included 1629 participants in the analyses. The average EQ-5D utility scores for the five health states were 0.70 (95% CI 0.67–0.73) for remission, 0.62 (95% CI 0.58–0.65) for minor depression, 0.57 (95% CI 0.54–0.61) for mild depression, 0.52 (95%CI 0.49–0.56) for moderate depression, and 0.39 (95% CI 0.35–0.43) for severe depression. In comparison with the EQ-5D, the utility scores based on the SF-6D were similar for remission (EQ-5D = 0.70 vs. SF-6D = 0.69), but higher for severe depression (EQ-5D = 0.39 vs. SF-6D = 0.55).ConclusionsWe observed statistically significant differences in utility scores between depression health states. Individuals with less severe depressive symptoms had on average statistically significant higher utility scores than individuals suffering from more severe depressive symptomatology. In the present study, EQ-5D had a larger range of values as compared to SF-6D.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2017 |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Hull York Medical School (York) |
Depositing User: | Pure (York) |
Date Deposited: | 18 Jul 2018 15:40 |
Last Modified: | 16 Oct 2024 14:56 |
Published Version: | https://doi.org/10.1007/s11136-017-1536-2 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1007/s11136-017-1536-2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133508 |
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