Erratum to: QLU-C10D: a health state classification system for a multi-attribute utility measure based on the EORTC QLQ-C30

King, Madeleine; Costa, Daniel; Aaronson, Neil K.; Brazier, John; Cella, D. F.; Fayers, Peter; Grimison, Peter; Janda, Monika; Kemmler, Georg; Norman, Richard; Pickard, A. Simon; Rowen, Donna; Velikova, Galina; Young, Tracey; Viney, Rosalie

doi:10.1007/s11136-016-1260-3

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“…The final model fit the a priori dimensions including the WHO's conceptualization of health, and key BrC-specific dimensions from the EORTC QLQ-C30 and BR45 [14]. A similar approach was used to derive the general cancer utility instruments QLU-C10D from the QLQ-C30 [51] and the FACT-8D from the FACT-G [52].…”

Section: Discussionmentioning

confidence: 99%

“…All authors who performed CFA of the QLQ-C30, alone or with the previous BrC module, BR23, tested hypotheses based on the scoring manual [53], consulted patients' and clinicians' perspectives from literature searches [25,54], or determined the core dimensions based on investigator consensus [51]. Other authors took an EFA approach, without starting from an a priori theoretical framework which specifies item alignment with latent variables [25,26].…”

Section: Discussionmentioning

confidence: 99%

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Developing the Breast Utility Instrument, a preference-based instrument to measure health-related quality of life in women with breast cancer: Confirmatory factor analysis of the EORTC QLQ-C30 and BR45 to establish dimensions

et al. 2022

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Objectives Breast cancer (BrC) and its treatments impair health-related quality of life (HRQoL). Utility is a measure of HRQoL that includes preferences for health outcomes, used in treatment decision-making. Generic preference-based instruments lack BrC-specific concerns, indicating the need for a BrC-specific preference-based instrument. Our objective was to determine dimensions of the European Organisation for Research and Treatment of Cancer (EORTC) general cancer (QLQ-C30) and breast module (BR45) instruments, the first step in our development of the novel Breast Utility Instrument (BUI). Methods Patients (n = 408) attending outpatient BrC clinics at an urban cancer centre, and representing a spectrum of BrC health states, completed the QLQ-C30 and BR45. We performed confirmatory factor analysis of the combined QLQ-C30 and BR45 using mean-and variance-adjusted unweighted least squares estimation. The hypothesized factor model was based on clinical relevance, item distributions, missing data, item-importance, and internal reliability of dimensions. Models were evaluated based on global and item fit, local areas of strain, and likelihood ratio tests of nested models. Results Our final model had 10 dimensions: physical and role functioning, emotional functioning, social functioning, body image, pain, fatigue, systemic therapy side effects, sexual functioning and enjoyment, arm and breast symptoms, and endocrine therapy symptoms. Good overall model fit was achieved: χ2/df: 1.45, Tucker-Lewis index: 0.946, comparative fit index: 0.951, standardized root-mean-square residual: 0.069, root-mean-square error of approximation: 0.033 (0.030–0.037). All items had salient factor loadings (λ>0.4, p<0.001). Conclusions We identified important BrC HRQoL dimensions to develop the BUI, a BrC-specific preference-based instrument.

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Section: Discussionmentioning

confidence: 99%