Clinical and psychometric validation of the EORTC QLQ-CR29 questionnaire module to assess health-related quality of life in patients with colorectal cancer

Whistance, RN; Conroy, Thierry; Chie, Wei‐Chu; Costantini, Anna; Sezer, Orhan; Koller, Michael; Johnson, C. Daniel; Pilkington, Sophie; Arrarás, Juan Ignacio; Ben‐Josef, Edgar; Pullyblank, A. M.; Fayers, Peter; Blazeby, Jane M

doi:10.1016/j.ejca.2009.08.014

Cited by 329 publications

(356 citation statements)

References 11 publications

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“…Eighteen suitable datasets were obtained [27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44]. Table 1 summarises their characteristics and the number of observations each contributed to various psychometric analyses.…”

Section: Resultsmentioning

confidence: 99%

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

et al. 2016

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Abstract:Purpose: To derive a health state classification system (HSCS) from the cancerspecific quality of life questionnaire, the EORTC QLQ-C30, as the basis for a multiattribute utility instrument.Methods: The conceptual model for the HSCS was based on the established domain structure of the QLQ-C30. Several criteria were considered to select a subset of dimensions and items for the HSCS. Expert opinion and patient input informed a priori Powered by Edit orial Manager® and ProduXion Manager® from Aries Syst em s Corporat ionselection of key dimensions. Psychometric criteria were assessed via secondary analysis of a pooled dataset comprising HRQOL and clinical data from 2616 patients from eight countries and a range of primary cancer sites, disease stages, and treatments. We used confirmatory factor analysis (CFA) to assess the conceptual model's robustness and generalisability. We assessed item floor effects (>75% observations at lowest score), disordered item response thresholds, coverage of the latent variable and differential item function (DIF) using Rasch analysis. We calculated effect sizes for known group comparisons based on disease stage and responsiveness to change. Seventy-nine cancer patients assessed the relative importance of items within dimensions.Results: CFA supported the conceptual model and its generalizability across primary cancer sites. After considering all criteria, 12 items were selected representing 10 dimensions: physical functioning (mobility), role functioning, social functioning, emotional functioning, pain, fatigue, sleep, appetite, nausea, bowel problems.

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Section: Resultsmentioning

confidence: 99%

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

et al. 2016

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“…An example is the FACT scale which consists of a core instrument (FACT-G) and various sub-scales, including a subscale for colorectal cancer )FACT-C) (McDowell, 2006). Other instruments are the colorectal cancer specific module EORTC QLQ-CR29 and liver metastasis from colorectal cancer module EORTC QLQ-LMC 21 (Whistance et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Quality of Life and Psychological Well-Being of Colorectal Cancer Survivors in Jordan

Abu-Helalah

Alshraideh²,

Al-Hanaqta³

et al. 2014

Asian Pacific Journal of Cancer Prevention

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“…The European Organisation for Research and Treatment of Cancer (EORTC) colorectal cancer specific QoL module (QLQ-CR29) 16 was completed prior to and at the end of CRT, at six months and twelve months in the follow-up period, and yearly thereafter. Physician-evaluated faecal incontinence using the Jorge-Wexner scale 17 was recorded at every visit.…”

Section: Follow-up: Patients Allocated To Observationmentioning

confidence: 99%

High-dose chemoradiotherapy and watchful waiting for distal rectal cancer: a prospective observational study

Appelt

Pløen

Harling

et al. 2015

The Lancet Oncology

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Clinical and psychometric validation of the EORTC QLQ-CR29 questionnaire module to assess health-related quality of life in patients with colorectal cancer

Cited by 329 publications

References 11 publications

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

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

Quality of Life and Psychological Well-Being of Colorectal Cancer Survivors in Jordan

High-dose chemoradiotherapy and watchful waiting for distal rectal cancer: a prospective observational study

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