The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
General population normative data for the EORTC QLQ-C30 health-related quality of life questionnaire based on 15,386 persons across 13 European countries, Canada and the Unites States
Open accessAbstract
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 (18-39, 40-49, 50-59, 60-69 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.
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Cites
Aaronson, N. K., Ahmedzai, S., Bergman, B., Bullinger, M., Cull, A., Duez, N. J., Filiberti, A., Flechtner, H., Fleishman, S. B., Haes, J. C. J. M. D., et al. (1993) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/85.5.365 · Cited by 16,005
Self-citationWorld Population Prospects The 2006 Revision
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Survey of chronic pain in Europe: Prevalence, impact on daily life, and treatment
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The size and burden of mental disorders and other disorders of the brain in Europe 2010
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Self-citationInterpreting the significance of changes in health-related quality-of-life scores.
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Self-citationQuality of life research within the EORTC—the EORTC QLQ-C30
Fayers, P., & Bottomley, A. (2002) · European Journal of Cancer · doi:10.1016/s0959-8049(01)00448-8 · Cited by 924
Self-citationStandardizing Patient Outcomes Measurement
Porter, M. E., Larsson, S., & Lee, T. H. (2016) · New England Journal of Medicine · doi:10.1056/nejmp1511701 · Cited by 626 · cited 1×
“One possible approach d as taken by the International Consortium for Health Outcomes Measurement (ICHOM) d is to define standard sets of existing PRO instruments to enable comparison of outcomes across health-care providers and geographies [6].”
BackgroundReference data for the quality of life questionnaire EORTC QLQ-C30 in the general German population
Schwarz, R., & Hinz, A. (2001) · European Journal of Cancer · doi:10.1016/s0959-8049(00)00447-0 · Cited by 503
Cited by
Daratumumab or active monitoring for high-risk smoldering multiple myeloma
Dimopoulos, M. A., Voorhees, P. M., Schjesvold, F., Cohen, Y. C., Hungria, V., Sandhu, I., Lindsay, J., Baker, R. I., Suzuki, K., Kosugi, H., et al. (2025) · New England Journal of Medicine · doi:10.1056/nejmoa2409029 · Cited by 121
Jeppesen, S. S., Bentsen, K. K., Jørgensen, T. L., Holm, H. S., Holst-Christensen, L., Tarpgaard, L. S., Dahlrot, R. H., & Eckhoff, L. (2021) · Acta Oncologica · doi:10.1080/0284186x.2020.1830169 · Cited by 61
Cancer Care During COVID-19 Era: The Quality of Life of Patients With Thyroid Malignancies
Falcone, R., Grani, G., Ramundo, V., Melcarne, R., Giacomelli, L., Filetti, S., & Durante, C. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.01128 · Cited by 42
“The results were compared with published normative data (21).”
ResultKoinig, K. A., Arnold, C., Lehmann, J., Giesinger, J., Köck, S., Willenbacher, W., Weger, R., Holzner, B., Ganswindt, U., Wolf, D., et al. (2021) · Cancer Medicine · doi:10.1002/cam4.3950 · Cited by 34
Self-citationDelforge, M., Patel, K., Eliason, L., Dhanda, D., Shi, L., Guo, S., Marshall, T. S., Arnulf, B., Cavo, M., Nooka, A., et al. (2024) · The Lancet Haematology · doi:10.1016/s2352-3026(24)00005-x · Cited by 31
Metadata
- Authors
- Nolte, S., Liegl, G., Petersen, M. A., Aaronson, N. K., Costantini, A., Fayers, P. M., Groenvold, M., Holzner, B., Johnson, C. D., Kemmler, G., Tomaszewski, K. A., Waldmann, A., Young, T. E., & Rose, M.
- Venue
- European Journal of Cancer
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 107
- Pages
- 153-163
- ISSN
- 0959-8049 (ISSN-L)
- OpenAlex
- W2906639914
- Cited by
- 462
- References
- 37
- FWCI
- 13.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
- Funders
- European Organisation for Research and Treatment of Cancer (001 2015)
- Austrian Science Fund (FWF #P26930)
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- The paper
- Nolte, S., Liegl, G., Petersen, M. A., Aaronson, N. K., Costantini, A., Fayers, P. M., Groenvold, M., Holzner, B., Johnson, C. D., Kemmler, G., Tomaszewski, K. A., Waldmann, A., Young, T. E., & Rose, M. (2019). General population normative data for the EORTC QLQ-C30 health-related quality of life questionnaire based on 15,386 persons across 13 European countries, Canada and the Unites States. European Journal of Cancer. https://doi.org/10.1016/j.ejca.2018.11.024
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
