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Quality of Life Research

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01-03-2014 | Brief Communication

EQ-5D Portuguese population norms

Auteurs: Lara Noronha Ferreira, Pedro L. Ferreira, Luis N. Pereira, Mark Oppe

Gepubliceerd in: Quality of Life Research | Uitgave 2/2014

Abstract

Objectives

The EQ-5D is a widely used preference-based measure. Normative data can be used as references to analyze the effects of healthcare, determine the burden of disease and enable regional or country comparisons. Population norms for the EQ-5D exist for other countries but have not been previously published for Portugal. The purpose of this study was to derive EQ-5D Portuguese population norms.

Methods

The EQ-5D was applied by phone interview to a random sample of the Portuguese general population (n = 1,500) stratified by age, gender and region. The Portuguese value set was used to derive the EQ-5D index.

Results

Mean values were computed by gender and age groups, marital status, educational attainment, region and other variables to obtain the EQ-5D Portuguese norms. Health status declines with advancing age, and women reported worse health status than men. These results are similar to other EQ-5D population health studies.

Conclusion

This study provides Portuguese population health-related quality of life data measured by the EQ-5D that can be used as population norms. These norms can be used to inform Portuguese policy makers, health care professionals and researchers in issues related to health care policy and planning and quantification of treatment effects on health status.

vorige artikel The valuation of the EQ-5D in Portugal

volgende artikel Swedish experience-based value sets for EQ-5D health states

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Titel: EQ-5D Portuguese population norms
Auteurs: Lara Noronha Ferreira
Pedro L. Ferreira
Luis N. Pereira
Mark Oppe
Publicatiedatum: 01-03-2014
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 2/2014
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-013-0488-4

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Abstract

Objectives

Methods

Results

Conclusion

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