| Title |
QLU-C10D: a health state classification system for a multi-attribute utility measure based on the EORTC QLQ-C30
|
|---|---|
| Published in |
Quality of Life Research, January 2016
|
| DOI | 10.1007/s11136-015-1217-y |
| Pubmed ID | |
| Authors |
M. T. King, D. S. J. Costa, N. K. Aaronson, J. E. Brazier, D. F. Cella, P. M. Fayers, P. Grimison, M. Janda, G. Kemmler, R. Norman, A. S. Pickard, D. Rowen, G. Velikova, T. A. Young, R. Viney |
| Abstract |
To derive a health state classification system (HSCS) from the cancer-specific quality of life questionnaire, the EORTC QLQ-C30, as the basis for a multi-attribute utility instrument. 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 selection 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 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. CFA supported the conceptual model and its generalisability 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. The HSCS created from QLQ-C30 items is known as the EORTC Quality of Life Utility Measure-Core 10 dimensions (QLU-C10D). The next phase of the QLU-C10D's development involves valuation studies, currently planned or being conducted across the globe. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Australia | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 16% |
| Student > Master | 11 | 11% |
| Other | 8 | 8% |
| Student > Doctoral Student | 7 | 7% |
| Researcher | 7 | 7% |
| Other | 14 | 14% |
| Unknown | 39 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 19% |
| Psychology | 16 | 16% |
| Nursing and Health Professions | 10 | 10% |
| Sports and Recreations | 3 | 3% |
| Economics, Econometrics and Finance | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 40 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2018.
All research outputs
#12,945,022
of 22,846,662 outputs
Outputs from Quality of Life Research
#1,206
of 2,846 outputs
Outputs of similar age
#179,694
of 394,776 outputs
Outputs of similar age from Quality of Life Research
#16
of 46 outputs
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