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dc.contributor.authorPetersen, Morten Aa.
dc.contributor.authorAaronson, Neil K.
dc.contributor.authorArraras, Juan I
dc.contributor.authorChie, Wei-Chu
dc.contributor.authorConroy, Thierry
dc.contributor.authorCostantini, Anna
dc.contributor.authorDirven, Linda
dc.contributor.authorFayers, Peter
dc.contributor.authorGamper, Eva-Maria
dc.contributor.authorGiesinger, Johannes M
dc.contributor.authorHabets, Esther J.J.
dc.contributor.authorHammerlid, Eva
dc.contributor.authorHelbostad, Jorunn L.
dc.contributor.authorHjermstad, Marianne Jensen
dc.contributor.authorHolzner, Bernhard
dc.contributor.authorJohnson, Colin
dc.contributor.authorKemmler, Georg
dc.contributor.authorKing, Madeleine T.
dc.contributor.authorKaasa, Stein
dc.contributor.authorLoge, Jon Håvard
dc.contributor.authorReijneveld, Jaap C.
dc.contributor.authorSinger, Susanne
dc.contributor.authorTaphoorn, Martin J. B.
dc.contributor.authorThamsborg, Lise H.
dc.contributor.authorTomaszewski, Krzysztof A.
dc.contributor.authorVelikova, Galina
dc.contributor.authorVerdonck-de Leeuw, Irma M.
dc.contributor.authorYoung, Teresa
dc.contributor.authorGroenvold, Mogens
dc.identifier.citationEuropean Journal of Cancer. 2018, 100 8-16.nb_NO
dc.description.abstractBackground To optimise measurement precision, relevance to patients and flexibility, patient-reported outcome measures (PROMs) should ideally be adapted to the individual patient/study while retaining direct comparability of scores across patients/studies. This is achievable using item banks and computerised adaptive tests (CATs). The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Core 30 (QLQ-C30) is one of the most widely used PROMs in cancer research and clinical practice. Here we provide an overview of the research program to develop CAT versions of the QLQ-C30's 14 functional and symptom domains. Methods The EORTC Quality of Life Group's strategy for developing CAT item banks consists of: literature search to identify potential candidate items; formulation of new items compatible with the QLQ-C30 item style; expert evaluations and patient interviews; field-testing and psychometric analyses, including factor analysis, item response theory calibration and simulation of measurement properties. In addition, software for setting up, running and scoring CAT has been developed. Results Across eight rounds of data collections, 9782 patients were recruited from 12 countries for the field-testing. The four phases of development resulted in a total of 260 unique items across the 14 domains. Each item bank consists of 7–34 items. Psychometric evaluations indicated higher measurement precision and increased statistical power of the CAT measures compared to the QLQ-C30 scales. Using CAT, sample size requirements may be reduced by approximately 20–35% on average without loss of power. Conclusions The EORTC CAT Core represents a more precise, powerful and flexible measurement system than the QLQ-C30. It is currently being validated in a large independent, international sample of cancer patients.nb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.titleThe EORTC CAT Core - The computer adaptive version of the EORTC QLQ-C30 questionnairenb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalEuropean Journal of Cancernb_NO
dc.description.localcode© 2018. This is the authors’ accepted and refereed manuscript to the article. Locked until 21..2019 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
cristin.unitnameInstitutt for nevromedisin og bevegelsesvitenskap
cristin.unitnameInstitutt for klinisk og molekylær medisin

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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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