Assessment of outcome measures for cost–utility analysis in depression: mapping depression scales onto the EQ-5D-5L
BackgroundMany 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...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2018-07-01
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| Series: | BJPsych Open |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S2056472418000212/type/journal_article |
| _version_ | 1811156993123024896 |
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| author | Thor Gamst-Klaussen Admassu N. Lamu Gang Chen Jan Abel Olsen |
| author_facet | Thor Gamst-Klaussen Admassu N. Lamu Gang Chen Jan Abel Olsen |
| author_sort | Thor Gamst-Klaussen |
| collection | DOAJ |
| description | BackgroundMany 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.AimsWe 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.MethodA 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.ResultsFractional 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.ConclusionsMapping 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.Declaration of interestNone. |
| first_indexed | 2024-04-10T05:00:02Z |
| format | Article |
| id | doaj.art-305f57ab423e473789c0ce4b16b21ed9 |
| institution | Directory Open Access Journal |
| issn | 2056-4724 |
| language | English |
| last_indexed | 2024-04-10T05:00:02Z |
| publishDate | 2018-07-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | BJPsych Open |
| spelling | doaj.art-305f57ab423e473789c0ce4b16b21ed92023-03-09T12:28:48ZengCambridge University PressBJPsych Open2056-47242018-07-01416016610.1192/bjo.2018.21Assessment of outcome measures for cost–utility analysis in depression: mapping depression scales onto the EQ-5D-5LThor Gamst-Klaussen0https://orcid.org/0000-0002-8497-8502Admassu N. Lamu1Gang Chen2Jan Abel Olsen3Department of Community Medicine, University of Tromsø, NorwayDepartment of Community Medicine, University of Tromsø, NorwayCentre for Health Economics, Monash University, AustraliaDepartment of Community Medicine, University of Tromsø, Norway and Centre for Health Economics, Monash University, AustraliaBackgroundMany 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.AimsWe 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.MethodA 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.ResultsFractional 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.ConclusionsMapping 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.Declaration of interestNone.https://www.cambridge.org/core/product/identifier/S2056472418000212/type/journal_articleStatistical methodologycost-effectivenessEQ-5D-5LmappingDASS-21, K-10 |
| spellingShingle | Thor Gamst-Klaussen Admassu N. Lamu Gang Chen Jan Abel Olsen Assessment of outcome measures for cost–utility analysis in depression: mapping depression scales onto the EQ-5D-5L BJPsych Open Statistical methodology cost-effectiveness EQ-5D-5L mapping DASS-21, K-10 |
| title | Assessment of outcome measures for cost–utility analysis in depression: mapping depression scales onto the EQ-5D-5L |
| title_full | Assessment of outcome measures for cost–utility analysis in depression: mapping depression scales onto the EQ-5D-5L |
| title_fullStr | Assessment of outcome measures for cost–utility analysis in depression: mapping depression scales onto the EQ-5D-5L |
| title_full_unstemmed | Assessment of outcome measures for cost–utility analysis in depression: mapping depression scales onto the EQ-5D-5L |
| title_short | Assessment of outcome measures for cost–utility analysis in depression: mapping depression scales onto the EQ-5D-5L |
| title_sort | assessment of outcome measures for cost utility analysis in depression mapping depression scales onto the eq 5d 5l |
| topic | Statistical methodology cost-effectiveness EQ-5D-5L mapping DASS-21, K-10 |
| url | https://www.cambridge.org/core/product/identifier/S2056472418000212/type/journal_article |
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