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Assessment of outcome measures for cost–utility analysis in depression: mapping depression scales onto the EQ-5D-5L

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https://hdl.handle.net/10037/13180
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Date
2018-06-13
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Gamst-Klaussen, Thor; Lamu, Admassu N.; Chen, Gang; Olsen, Jan Abel
Abstract
Background: Many clinical studies including mental health interventions do not use a health state utility instrument, which is essential for producing quality-adjusted life years. In the absence of such utility instrument, mapping algorithms can be applied to estimate utilities from a disease-specific instrument.

Aims: We aim to develop mapping algorithms from two widely used depression scales; the Depression Anxiety Stress Scales (DASS-21) and the Kessler Psychological Distress Scale (K-10), onto the most widely used health state utility instrument, the EQ-5D-5L, using eight country-specific value sets.

Method: A total of 917 respondents with self-reported depression were recruited to describe their health on the DASS-21 and the K-10 as well as the new five-level version of the EQ-5D, referred to as the EQ-5D-5L. Six regression models were used: ordinary least squares regression, generalised linear models, beta binomial regression, fractional logistic regression model, MM-estimation and censored least absolute deviation. Root mean square error, mean absolute error and r2 were used as model performance criteria to select the optimal mapping function for each country-specific value set.

Results: Fractional logistic regression model was generally preferred in predicting EQ-5D-5L utilities from both DASS-21 and K-10. The only exception was the Japanese value set, where the beta binomial regression performed best.

Conclusions: Mapping algorithms can adequately predict EQ-5D-5L utilities from scores on DASS-21 and K-10. This enables disease-specific data from clinical trials to be applied for estimating outcomes in terms of quality-adjusted life years for use in economic evaluations.

Description
Source at https://doi.org/10.1192/bjo.2018.21
Is part of
Gamst-Klaussen, T. (2018). Three essays on measuring health-related quality of life: external and internal relationships of the EQ-5D-5L. Doctoral thesis. Available at http://hdl.handle.net/10037/14417.
Publisher
Cambridge University Press (CUP)
Citation
Gamst-Klaussen, T., Lamu, A.N., Chen, G. & Olsen, J.A. (2018). Assessment of outcome measures for cost–utility analysis in depression: mapping depression scales onto the EQ-5D-5L. BJPsych Open, 4, 160-166. https://doi.org/10.1192/bjo.2018.21.
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