Flexibility in patient-reported outcome and health-related quality of life measurement: The EORTC Quality of Life Group measurement strategy

The development of the first European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group (QLG) health-related quality of life (HRQoL) questionnaires contributed to the systematic uptake of HRQoL as an endpoint in cancer clinical trials, and to the measurement of HRQoL for individual assessment in routine care. Following a modular approach, these patient-reported outcome (PRO) measures (PROMs) ensure that both generic and disease-specific issues are assessed, enabling comparison of PROs across groups and studies. The application of a comprehensive and continually refined methodology for developing and updating these PROMs has been crucial in supporting their psychometric and cross-cultural validity, and their continued implementation in clinical research. However, the advancement of measurement science, the more widespread implementation of PROMs, and the significant evolution of anti-cancer therapies over the last decades have highlighted the need to adopt more flexible approaches to PRO assessment to ensure that PROMs remain relevant and fit-for-purpose. The QLG has responded to this call by implementing more tailored PRO measurement approaches through the development and release of the computerised adaptive test (CAT) version of the EORTC QLQ-C30 (i.e., the EORTC CAT Core) and the EORTC Item Library. The EORTC Item Library is an interactive online platform that allows for the creation of customised questionnaires (item lists) from the pool of available items derived from established EORTC QLG PROMs. The aim of this article is to describe the current EORTC QLG approach to PRO measurement in oncology, covering important historical developments and best practice recommendations.

Authors

Institutions

Publication Details

Journal
European Journal of Cancer
Published
2025-03-31
DOI
https://doi.org/10.1016/j.ejca.2025.115392
Citations
7
Primary Topic
Cancer survivorship and care
Type
article
Field-Weighted Citation Impact
7.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flexibility in patient-reported outcome and health-related quality of life measurement: The EORTC Quality of Life Group measurement strategy

Sandra Nolte, Johannes M. Giesinger, Claire Piccinin, Jaap C. Reijneveld et al.
7 citations
European Journal of Cancer
Cancer survivorship and care
7.32
article

Flexibility in patient-reported outcome and health-related quality of life measurement: The EORTC Quality of Life Group measurement strategy

Sandra Nolte, Johannes M. Giesinger, Claire Piccinin, Jaap C. Reijneveld, Sally Wheelwright, Lonneke V. van de Poll‐Franse, Susanne Singer, Fabio Efficace, Corneel Coens, Dagmara Kuliś, Galina Velikova, Alexandra Gilbert, Deborah Fitzsimmons, Martin Taphoorn, Anne‐Sophie Darlington, Morten Aagaard Petersen, Krzysztof A. Tomaszewski, Kristin Bjordal, Madeline Pe, Bernhard Holzner, Neil K. Aaronson, Mirjam A. G. Sprangers, Mogens Grøenvold
article en
7 citations

Abstract

The development of the first European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group (QLG) health-related quality of life (HRQoL) questionnaires contributed to the systematic uptake of HRQoL as an endpoint in cancer clinical trials, and to the measurement of HRQoL for individual assessment in routine care. Following a modular approach, these patient-reported outcome (PRO) measures (PROMs) ensure that both generic and disease-specific issues are assessed, enabling comparison of PROs across groups and studies. The application of a comprehensive and continually refined methodology for developing and updating these PROMs has been crucial in supporting their psychometric and cross-cultural validity, and their continued implementation in clinical research. However, the advancement of measurement science, the more widespread implementation of PROMs, and the significant evolution of anti-cancer therapies over the last decades have highlighted the need to adopt more flexible approaches to PRO assessment to ensure that PROMs remain relevant and fit-for-purpose. The QLG has responded to this call by implementing more tailored PRO measurement approaches through the development and release of the computerised adaptive test (CAT) version of the EORTC QLQ-C30 (i.e., the EORTC CAT Core) and the EORTC Item Library. The EORTC Item Library is an interactive online platform that allows for the creation of customised questionnaires (item lists) from the pool of available items derived from established EORTC QLG PROMs. The aim of this article is to describe the current EORTC QLG approach to PRO measurement in oncology, covering important historical developments and best practice recommendations.

European Journal of CancerVol. 220
Brighton and Sussex Medical School (GB), Oslo University Hospital (NO), Innsbruck Medical University (AT), Tilburg University (NL), Johannes Gutenberg University Mainz (DE), Leiden University Medical Center (NL), Frederiksberg Hospital (DK), St James's University Hospital (GB), The Netherlands Cancer Institute (NL), Swansea University (GB), University Medical Center of the Johannes Gutenberg University Mainz (DE), Eastern Health (AU), Fondazione Gimema Onlus (IT), European Organisation for Research and Treatment of Cancer (BE), Andrzej Frycz Modrzewski Krakow University (PL), Amsterdam University Medical Centers (NL), Stichting Epilepsie Instellingen Nederland (NL), University Hospital Innsbruck (AT), University of Southampton (GB), University of Amsterdam (NL)
Responsible consumption and production
Openalex Percentile: Top 3%
Cancer survivorship and care
7.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.