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

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

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.

Computer-adaptive test, EORTC CAT Core, General population, Item response theory, Norm data, Normative data, Patient-reported outcomes, Quality of life, Self-report, Survey
0959-8049
133-141
Liegl, G.
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Petersen, M. A.
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Groenvold, M.
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Aaronson, N. K.
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Costantini, A.
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Fayers, P. M.
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Holzner, B.
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Johnson, C. D.
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Kemmler, G.
64261df5-a7cc-45f5-8c15-6e5d320c2c15
Tomaszewski, K. A.
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Waldmann, A.
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Young, T. E.
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Rose, M.
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Nolte, S.
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the EORTC Quality of Life Group
Liegl, G.
0494db17-bc96-4894-be19-3b45b11f06eb
Petersen, M. A.
784e6000-d637-4607-9665-1105381e59d1
Groenvold, M.
5b95b2af-3c57-44c3-9129-1ec98b6e6cdf
Aaronson, N. K.
2a1a214d-2ec3-4d25-af4a-871b59df820f
Costantini, A.
5a8d034c-2a63-4b7f-acbd-7701888435fb
Fayers, P. M.
32dc7cdc-1cb0-4cad-a8a7-8b158eb17f74
Holzner, B.
2dbb757c-77c4-4ea2-b983-c290bb721c4d
Johnson, C. D.
e50aa9cd-8c61-4fe3-a0b3-f51cc3a6c74a
Kemmler, G.
64261df5-a7cc-45f5-8c15-6e5d320c2c15
Tomaszewski, K. A.
517bb086-c18b-4dc5-9029-bd3d0202b356
Waldmann, A.
cb5a4db2-fc3c-4c3d-b935-eed9c9ed93a5
Young, T. E.
dfdf81bb-5df0-435b-8e15-af8c0961491b
Rose, M.
375fc387-c4dd-45d7-8e38-51b794f5dfe8
Nolte, S.
dad4037c-94dc-4160-a7ec-7c57b020e686

Liegl, G., Petersen, M. A., Groenvold, M., Aaronson, N. K., Costantini, A., Fayers, P. M., Holzner, B., Johnson, C. D., Kemmler, G., Tomaszewski, K. A., Waldmann, A., Young, T. E., Rose, M. and Nolte, S. , the EORTC Quality of Life Group (2019) Establishing the European Norm for the health-related quality of life domains of the computer-adaptive test EORTC CAT Core. European Journal of Cancer, 107, 133-141. (doi:10.1016/j.ejca.2018.11.023).

Record type: Article

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.

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Accepted/In Press date: 10 November 2018
e-pub ahead of print date: 18 December 2018
Published date: 1 January 2019
Keywords: Computer-adaptive test, EORTC CAT Core, General population, Item response theory, Norm data, Normative data, Patient-reported outcomes, Quality of life, Self-report, Survey

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Local EPrints ID: 427130
URI: https://eprints.soton.ac.uk/id/eprint/427130
ISSN: 0959-8049
PURE UUID: 27ed2541-2359-471d-85fb-07c7bdb326c3

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Date deposited: 03 Jan 2019 17:30
Last modified: 19 Jul 2019 16:46

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Contributors

Author: G. Liegl
Author: M. A. Petersen
Author: M. Groenvold
Author: N. K. Aaronson
Author: A. Costantini
Author: P. M. Fayers
Author: B. Holzner
Author: C. D. Johnson
Author: G. Kemmler
Author: K. A. Tomaszewski
Author: A. Waldmann
Author: T. E. Young
Author: M. Rose
Author: S. Nolte

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