TY - JOUR
T1 - The EORTC CAT Core-The computer adaptive version of the EORTC QLQ-C30 questionnaire
AU - Petersen, Morten Aa
AU - Aaronson, Neil K
AU - Arraras, Juan I
AU - Chie, Wei-Chu
AU - Conroy, Thierry
AU - Costantini, Anna
AU - Dirven, Linda
AU - Fayers, Peter
AU - Gamper, Eva-Maria
AU - Giesinger, Johannes M
AU - Habets, Esther J J
AU - Hammerlid, Eva
AU - Helbostad, Jorunn
AU - Hjermstad, Marianne J
AU - Holzner, Bernhard
AU - Johnson, Colin
AU - Kemmler, Georg
AU - King, Madeleine T
AU - Kaasa, Stein
AU - Loge, Jon H
AU - Reijneveld, Jaap C
AU - Singer, Susanne
AU - Taphoorn, Martin J B
AU - Thamsborg, Lise H
AU - Tomaszewski, Krzysztof A
AU - Velikova, Galina
AU - Verdonck-de Leeuw, Irma M
AU - Young, Teresa
AU - Groenvold, Mogens
AU - European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group
N1 - The study was funded by the EORTC Quality of Life Group (grant no. 005-2007). The work of Johannes M. Giesinger was funded by the Austrian Science Fund (FWF #P26930).
PY - 2018/9/30
Y1 - 2018/9/30
N2 - BACKGROUND: 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.
AB - BACKGROUND: 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.
KW - computerized adaptive test
KW - EORTC QLQ-C30
KW - health related quality of life
KW - item response theory
KW - item development
KW - item banking
KW - patient-reported outcomes
U2 - 10.1016/j.ejca.2018.04.016
DO - 10.1016/j.ejca.2018.04.016
M3 - Article
C2 - 29936066
SN - 0959-8049
VL - 100
SP - 8
EP - 16
JO - European Journal of Cancer
JF - European Journal of Cancer
ER -
