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Thresholds for clinical importance were defined for the European Organisation for Research and Treatment of Cancer Computer Adaptive Testing Core-an adaptive measure of core quality of life domains in oncology clinical practice and research

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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  • EORTC Quality of Life Group
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OBJECTIVES: The aim of this article was to establish thresholds for clinical importance (TCIs) for the European Organisation for Research and Treatment of Cancer (EORTC) Computer Adaptive Testing (CAT) Core measure, the new adaptive version of the EORTC QLQ-C30.

STUDY DESIGN AND SETTING: For our diagnostic study, we recruited cancer patients with mixed diagnoses and treatments from six European countries. Patients completed the EORTC CAT Core and a questionnaire with anchor items assessing criteria for clinical importance (limitations in everyday life, need for help/care, and worries by the patient/family/partner) for each EORTC CAT Core domain. We used a binary variable summarizing the anchor items for determining TCIs and for calculating the area under the curve (AUC) in receiving operator characteristic analysis as a measure of diagnostic accuracy.

RESULTS: Using data from 498 cancer patients (mean age 60.4 years, 55.2% women), we established TCIs for the 14 domains of the EORTC CAT Core. Median AUC across domains was 0.93 (range 0.84-0.94). Median sensitivity and specificity of the TCIs were 0.91 (range 0.80-0.96) and 0.77 (range 0.66-0.84), respectively. TCIs and AUCs were largely consistent across patient groups.

CONCLUSION: We have generated TCIs for the 14 functional health and symptom domains of the EORTC CAT Core. The EORTC CAT Core showed high diagnostic accuracy in identifying clinically important symptoms and functional impairments.

OriginalsprogEngelsk
TidsskriftJournal of Clinical Epidemiology
Vol/bind117
Sider (fra-til)117-125
Antal sider9
ISSN0895-4356
DOI
StatusUdgivet - 5 jan. 2020

Bibliografisk note

Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

ID: 58891213