Browsing by Author "Mehanna, Hisham (11839081200)"

Background: We validated the new European Organisation for Research and Treatment of Cancer Quality of Life Head and Neck Module (EORTC QLQ-HN43). Methods: We enrolled 812 patients with head and neck cancer from 18 countries. Group 1 completed the questionnaire before therapy, and 3 and 6 months later. In group 2 (survivors), we determined test–retest reliability using intraclass correlation coefficients (ICC). Internal consistency was assessed using Cronbach's Alpha, the scale structure with confirmatory factor analysis, and discriminant validity with known-group comparisons. Results: Cronbach's alpha was >0.70 in 10 of the 12 multi-item scales. All standardized factor loadings exceeded 0.40. The ICC was >0.70 in all but two scales. Differences in scale scores between known-groups were >10 points in 17 of the 19 scales. Sensitivity to change was found to be sufficient in 18 scales. Conclusions: Evidence supports the reliability and validity of the EORTC QLQ-HN43 as a measure of quality of life. © 2019 Wiley Periodicals, Inc.

Purpose: The aim of this study was to explore what methods should be used to determine the minimal important difference (MID) and minimal important change (MIC) in scores for the European Organisation for Research and Treatment of Cancer Head and Neck Cancer Module, the EORTC QLQ-HN43. Methods: In an international multi-centre study, patients with head and neck cancer completed the EORTC QLQ-HN43 before the onset of treatment (t1), three months after baseline (t2), and six months after baseline (t3). The methods explored for determining the MID were: (1) group comparisons based on performance status; (2) 0.5 and 0.3 standard deviation and standard error of the mean. The methods examined for the MIC were patients' subjective change ratings and receiver-operating characteristics (ROC) curves, predictive modelling, standard deviation, and standard error of the mean. The EORTC QLQ-HN43 Swallowing scale was used to investigate these methods. Results: From 28 hospitals in 18 countries, 503 patients participated. Correlations with the performance status were |r|< 0.4 in 17 out of 19 scales; hence, performance status was regarded as an unsuitable anchor. The ROC approach yielded an implausible MIC and was also discarded. The remaining approaches worked well and delivered MID values ranging from 10 to 14; the MIC for deterioration ranged from 8 to 16 and the MIC for improvement from − 3 to − 14. Conclusions: For determining MIDs of the remaining scales of the EORTC QLQ-HN43, we will omit comparisons of groups based on the Karnofsky Performance Score. Other external anchors are needed instead. Distribution-based methods worked well and will be applied as a starting strategy for analyses. For the calculation of MICs, subjective change ratings, predictive modelling, and standard-deviation based approaches are suitable methods whereas ROC analyses seem to be inappropriate. © 2021, The Author(s).

Introduction: Minimal important change estimates (MIC) are useful for interpreting results of clinical research with quality of life (QoL) as an endpoint. For the European Organisation for Research and Treatment of Cancer head and neck cancer module, the EORTC QLQ-HN43, no such thresholds are established. Methods: Head and neck cancer patients under active treatment (n = 503) from 15 countries completed the EORTC QLQ-HN43 three times (t1: before treatment, t2: three months after t1, t3: six months after t1). A subgroup completed a Subjective Significance Questionnaire (SSQ), indicating experienced change from the previous time point in four QoL domains. QoL was assumed to deteriorate after t1 and improve again until t3. The MIC was established using the average of mean differences in SSQ groups (MICmean) and estimates based on logistic regressions (MICpredict). Additionally, minimal detectable changes (MDC) were computed using 0.5 standard deviation and standard error of the mean. Results: For swallowing, speech, dry mouth, and global QoL, the MIC for deterioration were 13, 14, 26, and 10 respectively. The MIC for improvement were 8 (swallowing), 6 (dry mouth), and 5 (global QoL); no MIC for speech improvement can be presented because of insufficient correlation between change score and anchor. The MDC estimates for deterioration were 15, 14, 15, and 11. For improvement, the MDC estimates were 13, 14, 14, and 11. Conclusions: Our results underline that no single MIC or MDC can be applied to all EORTC QLQ-HN43 scales, and that the MIC for deterioration seems larger than those for improvement. © 2024 The Authors

Introduction: Minimal important change estimates (MIC) are useful for interpreting results of clinical research with quality of life (QoL) as an endpoint. For the European Organisation for Research and Treatment of Cancer head and neck cancer module, the EORTC QLQ-HN43, no such thresholds are established. Methods: Head and neck cancer patients under active treatment (n = 503) from 15 countries completed the EORTC QLQ-HN43 three times (t1: before treatment, t2: three months after t1, t3: six months after t1). A subgroup completed a Subjective Significance Questionnaire (SSQ), indicating experienced change from the previous time point in four QoL domains. QoL was assumed to deteriorate after t1 and improve again until t3. The MIC was established using the average of mean differences in SSQ groups (MICmean) and estimates based on logistic regressions (MICpredict). Additionally, minimal detectable changes (MDC) were computed using 0.5 standard deviation and standard error of the mean. Results: For swallowing, speech, dry mouth, and global QoL, the MIC for deterioration were 13, 14, 26, and 10 respectively. The MIC for improvement were 8 (swallowing), 6 (dry mouth), and 5 (global QoL); no MIC for speech improvement can be presented because of insufficient correlation between change score and anchor. The MDC estimates for deterioration were 15, 14, 15, and 11. For improvement, the MDC estimates were 13, 14, 14, and 11. Conclusions: Our results underline that no single MIC or MDC can be applied to all EORTC QLQ-HN43 scales, and that the MIC for deterioration seems larger than those for improvement. © 2024 The Authors