Title
Minimal important differences for interpreting health-related quality of life scores from the EORTC QLQ-C30 in lung cancer patients participating in randomized controlled trials
Author
Faculty/Department
Faculty of Applied Economics
Publication type
article
Publication
Berlin ,
Subject
Human medicine
Source (journal)
Supportive care in cancer. - Berlin
Volume/pages
19(2011) :11 , p. 1753-1760
ISSN
0941-4355
0941-4355
ISI
000295528600010
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Abstract
Background The aim of this study was to determine the smallest changes in health-related quality of life (HRQOL) scores in a subset of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire core 30 (EORTC QLQ-C30) scales, which could be considered as clinically meaningful in patients with non-small-cell lung cancer (NSCLC). Methods WHO performance status (PS) and weight change were used as clinical anchors to determine minimal important differences (MIDs) in HRQOL change scores (range, 0100) in the EORTC QLQ-C30 scales. Selected distribution-based methods were used for comparison. Findings In a pooled dataset of 812 NSCLC patients undergoing treatment, the values determined to represent the MID depended on whether patients were improving or deteriorating. MID estimates for improvement (based on a one-category change in PS, 5−<20% weight gain) were physical functioning (9, 5); role functioning (14, 7); social functioning (5, 7); global health status (9, 4); fatigue (14, 5); and pain (16, 2). The respective MID estimates for deterioration (based on PS, weight loss) were physical (4, 6); role (5, 5); social (7, 9); global health status (4, 4); fatigue (6, 11); and pain (3, 7). Interpretation Based on the selected QLQ-C30 scales, the MID may depend upon whether the patients PS is improving or worsening, but our results are not definitive. The MID estimates for the specified scales can help clinicians and researchers evaluate the significance of changes in HRQOL and assess the value of a health care intervention or compare treatments. The estimates also can be useful in determining sample sizes in the design of future clinical trials.
E-info
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