Establishing the European Norm for the health-related quality of life domains of the computer-adaptive test EORTC CAT Core

Pobierz opis bibliograficzny



  • 002 $a Establishing the European Norm for the health-related quality of life domains of the computer-adaptive test EORTC CAT Core
  • 003 $a Morten Petersen (Autor)
  • 003 $a Neil Aaronson (Autor)
  • 003 $a Anna Costantini (Autor)
  • 003 $a Peter Fayers (Autor)
  • 003 $a Mogens Groenvold (Autor)
  • 003 $a Bernhard Holzner (Autor)
  • 003 $a Colin Johnson (Autor)
  • 003 $a Georg Kemmler (Autor)
  • 003 $a Krzysztof Tomaszewski (Autor)
  • 003 $a Annika Waldmann (Autor)
  • 003 $a Teresa Young (Autor)
  • 003 $a Matthias Rose (Autor)
  • 003 $a Sandra Nolte (Autor)
  • 003 $a Gregor Liegl (Autor)
  • 004 $a Oryginalny artykuł naukowy
  • 008 $a 2018
  • 011 $a 0959-8049
  • 013 $a 10.1016/j.ejca.2018.11.023
  • 014 $a
  • 015 $a 153-163
  • 016 $a 1.03
  • 017 $a angielski
  • 020 $a Objective: The European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 health-related quality of life questionnaire is one of the most widely used cancer-specific health-related quality of life questionnaires worldwide. General population norm data can facilitate the interpretation of QLQ-C30 data obtained from cancer patients. This study aimed at systematically collecting norm data from the general population to develop European QLQ-C30 norm scores and to generate comparable norm data for individual countries in Europe and North America. Methods: We collected QLQ-C30 data from the general population across 11 European Union (EU) countries, Russia, Turkey, Canada and United States (n # 1000/country). Representative samples were stratified by sex and age groups (18e39, 40e49, 50e59, 60e69 and # 70 years). After applying weights based on the United Nations population distribution statistics, we calculated QLQ-C30 domain scores to generate a ‘European QLQ-C30 Norm’ based on the EU countries. Further, we calculated QLQ-C30 norm scores for all 15 individual countries. Results: A total of 15,386 respondents completed the online survey. For the EU sample, most QLQ-C30 domains showed differences by sex/age, with men scoring somewhat better health than women, while age effects varied across domains. Substantially larger differences were seen in inter-country comparisons, with Austrian and Dutch respondents reporting consistently better health compared with British and Polish respondents. Conclusions: This study is the first to systematically collect EORTC QLQ-C30 general population norm data across Europe and North America applying a consistent data collection method across 15 countries. These new norm data facilitate valid intra-country as well as inter-country comparisons and QLQ-C30 score interpretation.
  • 966 $a pedagogika

Dublin Core


Tomaszewski_Establishing.pdf (768 KB)

  • Licencja: CC BY-NC-ND 4.0
  • Wersja tekstu: Ostateczna opublikowana
  • Dostępność: Publiczny