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01-04-2016 | Uitgave 4/2016 Open Access

Quality of Life Research 4/2016

Predictive models to estimate utility from clinical questionnaires in schizophrenia: findings from EuroSC

Tijdschrift:
Quality of Life Research > Uitgave 4/2016
Auteurs:
Carole Siani, Christian de Peretti, Aurélie Millier, Laurent Boyer, Mondher Toumi
Belangrijke opmerkingen

Electronic supplementary material

The online version of this article (doi:10.​1007/​s11136-015-1120-6) contains supplementary material, which is available to authorized users.

Abstract

Objective

The clinical symptoms of schizophrenia are associated with serious social, quality of life and functioning alterations. Typically, data on health utilities are not available in clinical studies in schizophrenia. This makes the economic evaluation of schizophrenia treatments challenging. The purpose of this article was to provide a mapping function to predict unobserved utility values in patients with schizophrenia from the available clinical and socio-demographic information.

Methods

The analysis was performed using data from EuroSC, a 2-year, multi-centre, cohort study conducted in France (N = 288), Germany (N = 618), and the UK (N = 302), totalling 1208 patients. Utility was calculated based on the EQ-5D questionnaire. The relationships between the utility values and the patients’ socio-demographic and clinical characteristics (Positive and Negative Syndrome Scale—PANSS, Calgary Depression Scale for Schizophrenia—CDSS, Global Assessment of Functioning—GAF, extra-pyramidal symptoms measured by Barnes Akathisia Scale—BAS, age, sex, country, antipsychotic type) were modelled using a random and a fixed individual effects panel linear model.

Results

The analysis demonstrated the prediction ability of the used parameters for estimating utility measures in patients with schizophrenia. Although there are small variations between countries, the same variables appear to be the key predictors. From a clinical perspective, age, gender, psychopathology, and depression were the most important predictors associated with the EQ-5D.

Conclusion

This paper proposed a reliable, robust and easy-to-apply mapping method to estimate EQ-5D utilities based on demographic and clinical measures in schizophrenia.

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Extra materiaal
Supplementary material 1 (DOCX 19 kb)
11136_2015_1120_MOESM1_ESM.docx
Supplementary material 2 (DOCX 18 kb)
11136_2015_1120_MOESM2_ESM.docx
Supplementary material 3 (DOCX 20 kb)
11136_2015_1120_MOESM3_ESM.docx
Supplementary material 4 (DOCX 17 kb)
11136_2015_1120_MOESM4_ESM.docx
Supplementary material 5 (DOCX 46 kb)
11136_2015_1120_MOESM5_ESM.docx
Literatuur
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