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

European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group, Morten Aa Petersen (Corresponding Author), Neil K Aaronson, Juan I Arraras, Wei-Chu Chie, Thierry Conroy, Anna Costantini, Linda Dirven, Peter Fayers, Eva-Maria Gamper, Johannes M Giesinger, Esther J J Habets, Eva Hammerlid, Jorunn Helbostad, Marianne J Hjermstad, Bernhard Holzner, Colin Johnson, Georg Kemmler, Madeleine T King, Stein Kaasa & 10 others Jon H Loge, Jaap C Reijneveld, Susanne Singer, Martin J B Taphoorn, Lise H Thamsborg, Krzysztof A Tomaszewski, Galina Velikova, Irma M Verdonck-de Leeuw, Teresa Young, Mogens Groenvold

Research output: Contribution to journalArticle

7 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)8-16
Number of pages9
JournalEuropean Journal of Cancer
Volume100
Early online date21 Jun 2018
DOIs
Publication statusPublished - 30 Sep 2018

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Quality of Life
Organizations
Research
Neoplasms
Psychometrics
Therapeutics
Sample Size
Calibration
Statistical Factor Analysis
Surveys and Questionnaires
Software
Interviews
Patient Reported Outcome Measures

Keywords

  • computerized adaptive test
  • EORTC QLQ-C30
  • health related quality of life
  • item response theory
  • item development
  • item banking
  • patient-reported outcomes

Cite this

European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group, Petersen, M. A., Aaronson, N. K., Arraras, J. I., Chie, W-C., Conroy, T., ... Groenvold, M. (2018). The EORTC CAT Core-The computer adaptive version of the EORTC QLQ-C30 questionnaire. European Journal of Cancer, 100, 8-16. https://doi.org/10.1016/j.ejca.2018.04.016

The EORTC CAT Core-The computer adaptive version of the EORTC QLQ-C30 questionnaire. / European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group; Petersen, Morten Aa (Corresponding Author); 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; Groenvold, Mogens.

In: European Journal of Cancer, Vol. 100, 30.09.2018, p. 8-16.

Research output: Contribution to journalArticle

European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group, Petersen, MA, Aaronson, NK, Arraras, JI, Chie, W-C, Conroy, T, Costantini, A, Dirven, L, Fayers, P, Gamper, E-M, Giesinger, JM, Habets, EJJ, Hammerlid, E, Helbostad, J, Hjermstad, MJ, Holzner, B, Johnson, C, Kemmler, G, King, MT, Kaasa, S, Loge, JH, Reijneveld, JC, Singer, S, Taphoorn, MJB, Thamsborg, LH, Tomaszewski, KA, Velikova, G, Verdonck-de Leeuw, IM, Young, T & Groenvold, M 2018, 'The EORTC CAT Core-The computer adaptive version of the EORTC QLQ-C30 questionnaire' European Journal of Cancer, vol. 100, pp. 8-16. https://doi.org/10.1016/j.ejca.2018.04.016
European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group, Petersen MA, Aaronson NK, Arraras JI, Chie W-C, Conroy T et al. The EORTC CAT Core-The computer adaptive version of the EORTC QLQ-C30 questionnaire. European Journal of Cancer. 2018 Sep 30;100:8-16. https://doi.org/10.1016/j.ejca.2018.04.016
European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group ; 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 ; Groenvold, Mogens. / The EORTC CAT Core-The computer adaptive version of the EORTC QLQ-C30 questionnaire. In: European Journal of Cancer. 2018 ; Vol. 100. pp. 8-16.
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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.",
keywords = "computerized adaptive test, EORTC QLQ-C30, health related quality of life, item response theory, item development, item banking, patient-reported outcomes",
author = "{European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group} and Petersen, {Morten Aa} and Aaronson, {Neil K} and Arraras, {Juan I} and Wei-Chu Chie and Thierry Conroy and Anna Costantini and Linda Dirven and Peter Fayers and Eva-Maria Gamper and Giesinger, {Johannes M} and Habets, {Esther J J} and Eva Hammerlid and Jorunn Helbostad and Hjermstad, {Marianne J} and Bernhard Holzner and Colin Johnson and Georg Kemmler and King, {Madeleine T} and Stein Kaasa and Loge, {Jon H} and Reijneveld, {Jaap C} and Susanne Singer and Taphoorn, {Martin J B} and Thamsborg, {Lise H} and Tomaszewski, {Krzysztof A} and Galina Velikova and {Verdonck-de Leeuw}, {Irma M} and Teresa Young and Mogens Groenvold",
note = "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).",
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T1 - The EORTC CAT Core-The computer adaptive version of the EORTC QLQ-C30 questionnaire

AU - European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group

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

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

VL - 100

SP - 8

EP - 16

JO - European Journal of Cancer

JF - European Journal of Cancer

SN - 0959-8049

ER -