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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
Umea Univ, Dept Publ Hlth & Clin Med Epidemiol & Global Hlth, Umea, Sweden.;Umea Univ, Dept Stat, Umea, Sweden..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Women's and Children's Health, Pediatrics.
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
2016. Vol. 14, 134
Keyword [en]
Mapping, Preference-based measures, Mental health, Quality of life, Utilities
National Category
Medical and Health Sciences
URN: urn:nbn:se:uu:diva-306755DOI: 10.1186/s12955-016-0535-2ISI: 000384693800003PubMedID: 27644119OAI: diva2:1046996
Forte, Swedish Research Council for Health, Working Life and Welfare
Available from: 2016-11-16 Created: 2016-11-03 Last updated: 2016-11-16Bibliographically approved

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