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Assessing outcomes for cost-utility analysis in mental health interventions: mapping mental health specific outcome measure GHQ-12 onto EQ-5D-3L
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health. Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.
2016 (English)In: Health and Quality of Life Outcomes, ISSN 1477-7525, E-ISSN 1477-7525, Vol. 14, 134Article in journal (Refereed) Published
Abstract [en]

Background: Many intervention-based studies aiming to improve mental health do not include a multi-attribute utility instrument (MAUI) that produces quality-adjusted life-years (QALYs) and it limits the applicability of the health economic analyses. This study aims to develop 'crosswalk' transformation algorithm between a measure for psychological distress General Health Questionnaire (GHQ-12) and MAUI EuroQoL (EQ-5D-3L). Methods: The study is based on a survey questionnaire sent to a random sample in four counties in Sweden in 2012. The survey included GHQ-12 and EQ-5D instruments, as well as a question about self-rated health. The EQ-5D index was calculated using the UK and the Swedish tariff values. Two OLS models were used to estimate the EQ-5D health state values using the GHQ-12 as exposure, based on the respondents (n = 17, 101) of two counties. The algorithms were applied to the data from two other counties, (n = 15, 447) to check the predictive capacity of the models. Results: The final models included gender, age, self-rated health and GHQ-12 scores as a quantitative variable. The regression equations explained 40 % (UK tariff) and 46 % (Swedish tariff) of the variances. The model showed a satisfying predictive capacity between the observed and the predicted EQ-5D index score, with Pearson correlation = 0.65 and 0.69 for the UK and Swedish models, respectively. Conclusion: The algorithms developed in this study can be used to determine cost-effectiveness of services or interventions that use GHQ-12 as a primary outcome where the utility measures are not collected.

Place, publisher, year, edition, pages
BioMed Central, 2016. Vol. 14, 134
Keyword [en]
Mapping, Preference-based measures, Mental health, Quality of life, Utilities
National Category
Health Care Service and Management, Health Policy and Services and Health Economy
URN: urn:nbn:se:umu:diva-130027DOI: 10.1186/s12955-016-0535-2ISI: 000384693800003PubMedID: 27644119OAI: diva2:1064093
Available from: 2017-01-11 Created: 2017-01-11 Last updated: 2017-01-11Bibliographically approved

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