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The EORTC CAT Core—The computer adaptive version of the EORTC QLQ-C30 questionnaire

The EORTC CAT Core—The computer adaptive version of the EORTC QLQ-C30 questionnaire
The EORTC CAT Core—The computer adaptive version of the EORTC QLQ-C30 questionnaire

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.

Computerized adaptive test, EORTC QLQ-C30, Health related quality of life, Item banking, Item development, Item response theory, Patient-reported outcome
0959-8049
8-16
Petersen, Morten Aa
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Aaronson, Neil K.
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Arraras, Juan I.
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Chie, Wei Chu
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Conroy, Thierry
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Costantini, Anna
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Dirven, Linda
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Fayers, Peter
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Gamper, Eva Maria
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Giesinger, Johannes M.
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Habets, Esther J.J.
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Hammerlid, Eva
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Helbostad, Jorunn
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Hjermstad, Marianne J.
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Holzner, Bernhard
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Johnson, Colin
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Kemmler, Georg
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King, Madeleine T.
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Kaasa, Stein
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Loge, Jon H.
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Reijneveld, Jaap C.
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Singer, Susanne
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Taphoorn, Martin J.B.
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Thamsborg, Lise H.
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Tomaszewski, Krzysztof A.
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Velikova, Galina
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Verdonck-de Leeuw, Irma M.
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Young, Teresa
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Groenvold, Mogens
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the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group
Petersen, Morten Aa
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Aaronson, Neil K.
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Arraras, Juan I.
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Chie, Wei Chu
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Conroy, Thierry
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Costantini, Anna
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Dirven, Linda
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Fayers, Peter
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Gamper, Eva Maria
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Giesinger, Johannes M.
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Habets, Esther J.J.
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Hammerlid, Eva
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Helbostad, Jorunn
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Hjermstad, Marianne J.
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Holzner, Bernhard
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Johnson, Colin
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Kemmler, Georg
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King, Madeleine T.
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Kaasa, Stein
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Loge, Jon H.
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Reijneveld, Jaap C.
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Singer, Susanne
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Taphoorn, Martin J.B.
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Thamsborg, Lise H.
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Tomaszewski, Krzysztof A.
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Velikova, Galina
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Verdonck-de Leeuw, Irma M.
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Young, Teresa
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Groenvold, Mogens
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Petersen, Morten Aa, Aaronson, Neil K., Arraras, Juan I., Chie, Wei Chu, Conroy, Thierry, Costantini, Anna, Dirven, Linda, Fayers, Peter, Gamper, Eva Maria, Giesinger, Johannes M., Habets, Esther J.J., Hammerlid, Eva, Helbostad, Jorunn, Hjermstad, Marianne J., Holzner, Bernhard, Johnson, Colin, Kemmler, Georg, King, Madeleine T., Kaasa, Stein, Loge, Jon H., Reijneveld, Jaap C., Singer, Susanne, Taphoorn, Martin J.B., Thamsborg, Lise H., Tomaszewski, Krzysztof A., Velikova, Galina, Verdonck-de Leeuw, Irma M., Young, Teresa and Groenvold, Mogens , the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group (2018) The EORTC CAT Core—The computer adaptive version of the EORTC QLQ-C30 questionnaire. European Journal of Cancer, 100, 8-16. (doi:10.1016/j.ejca.2018.04.016).

Record type: Article

Abstract

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.

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More information

Accepted/In Press date: 11 April 2018
e-pub ahead of print date: 21 June 2018
Published date: 1 September 2018
Keywords: Computerized adaptive test, EORTC QLQ-C30, Health related quality of life, Item banking, Item development, Item response theory, Patient-reported outcome

Identifiers

Local EPrints ID: 426602
URI: http://eprints.soton.ac.uk/id/eprint/426602
ISSN: 0959-8049
PURE UUID: 84187440-7de9-4f41-abe6-604a41205255

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Date deposited: 30 Nov 2018 17:30
Last modified: 17 Mar 2024 12:07

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Contributors

Author: Morten Aa Petersen
Author: Neil K. Aaronson
Author: Juan I. Arraras
Author: Wei Chu Chie
Author: Thierry Conroy
Author: Anna Costantini
Author: Linda Dirven
Author: Peter Fayers
Author: Eva Maria Gamper
Author: Johannes M. Giesinger
Author: Esther J.J. Habets
Author: Eva Hammerlid
Author: Jorunn Helbostad
Author: Marianne J. Hjermstad
Author: Bernhard Holzner
Author: Colin Johnson
Author: Georg Kemmler
Author: Madeleine T. King
Author: Stein Kaasa
Author: Jon H. Loge
Author: Jaap C. Reijneveld
Author: Susanne Singer
Author: Martin J.B. Taphoorn
Author: Lise H. Thamsborg
Author: Krzysztof A. Tomaszewski
Author: Galina Velikova
Author: Irma M. Verdonck-de Leeuw
Author: Teresa Young
Author: Mogens Groenvold
Corporate Author: the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group

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