G Liegl1, M A Petersen2, M Groenvold3, N K Aaronson4, A Costantini5, P M Fayers6, B Holzner7, C D Johnson8, G Kemmler7, K A Tomaszewski9, A Waldmann10, T E Young11, M Rose12, S Nolte13. 1. Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany. 2. Department of Palliative Medicine, Bispebjerg Hospital, Copenhagen, Denmark. 3. Department of Palliative Medicine, Bispebjerg Hospital, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark. 4. Division of Psychosocial Research & Epidemiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands. 5. Psycho-Oncology Unit, Sant'Andrea Hospital Sapienza, University of Rome, Rome, Italy. 6. Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom. 7. Department of Psychiatry, Psychotherapy and Psychosomatics, Innsbruck Medical University, Innsbruck, Austria. 8. University of Southampton, Southampton, United Kingdom. 9. Health Outcomes Research Unit, Department of Gerontology, Geriatrics, and Social Work, Faculty of Education, Ignatianum Academy, Krakow, Poland. 10. Institute of Social Medicine and Epidemiology, University of Luebeck, Luebeck, Germany; Ministry for Health and Consumer Protection, Hamburg Cancer Registry, Hamburg, Germany. 11. East & North Hertfordshire NHS Trust, Mount Vernon Cancer Centre, Northwood, Middlesex, United Kingdom. 12. Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany; Quantitative Health Sciences, Outcomes Measurement Science, University of Massachusetts Medical School, Worcester, MA, USA. 13. Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany; Population Health Strategic Research Centre, School of Health and Social Development, Deakin University, Burwood, VIC, Australia. Electronic address: sandra.nolte@charite.de.
Abstract
OBJECTIVE: The computer-adaptive test (CAT) of the European Organisation for Research and Treatment of Cancer (EORTC), the EORTC CAT Core, assesses the same 15 domains as the EORTC QLQ-C30 health-related quality of life questionnaire but with increased precision, efficiency, measurement range and flexibility. CAT parameters for estimating scores have been established based on clinical data from cancer patients. This study aimed at establishing the European Norm for each CAT domain based on general population data. METHODS: We collected representative general population data across 11 European Union (EU) countries, Russia, Turkey, Canada and the United States (n ≥ 1000/country; stratified by sex and age). We selected item subsets from each CAT domain for data collection (totalling 86 items). Differential item functioning (DIF) analyses were conducted to investigate cross-cultural measurement invariance. For each domain, means and standard deviations from the EU countries (weighted by country population, sex and age) were used to establish a T-metric with a European general population mean = 50 (standard deviation = 10). RESULTS: A total of 15,386 respondents completed the online survey (n = 11,343 from EU countries). EORTC CAT Core norm scores for all 15 countries were calculated. DIF had negligible impact on scoring. Domain-specific T-scores differed significantly across countries with small to medium effect sizes. CONCLUSION: This study establishes the official European Norm for the EORTC CAT Core. The European CAT Norm can be used globally and allows for meaningful interpretation of scores. Furthermore, CAT scores can be compared with sex- and age-adjusted norm scores at a national level within each of the 15 countries.
OBJECTIVE: The computer-adaptive test (CAT) of the European Organisation for Research and Treatment of Cancer (EORTC), the EORTC CAT Core, assesses the same 15 domains as the EORTC QLQ-C30 health-related quality of life questionnaire but with increased precision, efficiency, measurement range and flexibility. CAT parameters for estimating scores have been established based on clinical data from cancerpatients. This study aimed at establishing the European Norm for each CAT domain based on general population data. METHODS: We collected representative general population data across 11 European Union (EU) countries, Russia, Turkey, Canada and the United States (n ≥ 1000/country; stratified by sex and age). We selected item subsets from each CAT domain for data collection (totalling 86 items). Differential item functioning (DIF) analyses were conducted to investigate cross-cultural measurement invariance. For each domain, means and standard deviations from the EU countries (weighted by country population, sex and age) were used to establish a T-metric with a European general population mean = 50 (standard deviation = 10). RESULTS: A total of 15,386 respondents completed the online survey (n = 11,343 from EU countries). EORTC CAT Core norm scores for all 15 countries were calculated. DIF had negligible impact on scoring. Domain-specific T-scores differed significantly across countries with small to medium effect sizes. CONCLUSION: This study establishes the official European Norm for the EORTC CAT Core. The European CAT Norm can be used globally and allows for meaningful interpretation of scores. Furthermore, CAT scores can be compared with sex- and age-adjusted norm scores at a national level within each of the 15 countries.
Authors: Caterina Calderon; Pere J Ferrando; Urbano Lorenzo-Seva; Estrella Ferreira; Eun Mi Lee; Marta Oporto-Alonso; Berta M Obispo-Portero; Luka Mihic-Góngora; Adan Rodríguez-González; Paula Jiménez-Fonseca Journal: Qual Life Res Date: 2021-12-20 Impact factor: 3.440
Authors: Ida J Korfage; Giulia Carreras; Caroline M Arnfeldt Christensen; Pascalle Billekens; Louise Bramley; Linda Briggs; Francesco Bulli; Glenys Caswell; Branka Červ; Johannes J M van Delden; Luc Deliens; Lesley Dunleavy; Kim Eecloo; Giuseppe Gorini; Mogens Groenvold; Bud Hammes; Francesca Ingravallo; Lea J Jabbarian; Marijke C Kars; Hana Kodba-Čeh; Urska Lunder; Guido Miccinesi; Alenka Mimić; Polona Ozbič; Sheila A Payne; Suzanne Polinder; Kristian Pollock; Nancy J Preston; Jane Seymour; Anja Simonič; Anna Thit Johnsen; Alessandro Toccafondi; Mariëtte N Verkissen; Andrew Wilcock; Marieke Zwakman; Agnes van der Heide; Judith A C Rietjens Journal: PLoS Med Date: 2020-11-13 Impact factor: 11.069