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Erschienen in: The European Journal of Health Economics 3/2015

01.04.2015 | Original Paper

SF-6D Portuguese population norms

verfasst von: Pedro L. Ferreira, Lara N. Ferreira, Luis N. Pereira

Erschienen in: The European Journal of Health Economics | Ausgabe 3/2015

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Abstract

Background

Population-based norms are important because they provide benchmarks that allow the interpretation of subgroups of population health, comparisons between studies, information on health inequalities and support for health-care interventions. The SF-6D is a preference-based measure of health, the use of which has been increasing throughout the world.

Objective

Other countries have provided population norms for the SF-6D. To date, SF-6D population norms for Portugal do not exist. This study therefore aimed to derive SF-6D Portuguese population norms.

Methods

A representative sample of the Portuguese general public (n = 1,500) was used in a telephone-based interview. The SF-36v2 was applied and the Portuguese SF-6D value set was used to obtain the SF-6D index. Descriptive and inferential data analyses were applied to sociodemographic variables, the dimensions of the SF-6D and the SF-6D index. Health index scores of the target population and selected subpopulations were estimated using domain estimation techniques when necessary.

Results

SF-6D utility scores decline with increasing age. Women, widowed individuals and individuals with low educational attainment report lower levels of SF-6D utility scores than men, those with a high educational attainment and those who are single.

Conclusions

This study reports Portuguese population norms measured using the SF-6D based on a national representative sample. These results can be used as reference data to inform policy.
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Metadaten
Titel
SF-6D Portuguese population norms
verfasst von
Pedro L. Ferreira
Lara N. Ferreira
Luis N. Pereira
Publikationsdatum
01.04.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
The European Journal of Health Economics / Ausgabe 3/2015
Print ISSN: 1618-7598
Elektronische ISSN: 1618-7601
DOI
https://doi.org/10.1007/s10198-014-0568-6

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