2020
DOI: 10.1007/s40258-020-00598-1
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French Value-Set of the QLU-C10D, a Cancer-Specific Utility Measure Derived from the QLQ-C30

Abstract: Background and objectiveThe EORTC Quality of Life Utility Measure-Core 10 Dimensions (QLU-C10D) is a new multiattribute utility instrument derived from the EORTC Quality of Life Questionnaire-Core 30 (QLQ-C30), a widely used cancer-specific quality-of-life questionnaire. It covers ten dimensions: physical, role functioning, social, emotional functioning, pain, fatigue, sleep, appetite, nausea and bowel problems. To allow national health preferences to be reflected, country-specific valuations are being perform… Show more

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Cited by 22 publications
(14 citation statements)
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“…Findings on Dutch decrements for the EORTC QLU-C10D are slightly different from the utility decrements found in the Australian, Austrian, Canadian, French, German, Italian, Polish and United Kingdom general population [12][13][14][15][16][17]. In the Dutch population, the largest decrement was observed for pain followed by physical functioning and role functioning, whereas in all other valuation studies, except for the Polish valuation study [17], the largest decrement was seen for physical functioning followed by pain.…”
Section: Discussioncontrasting
confidence: 69%
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“…Findings on Dutch decrements for the EORTC QLU-C10D are slightly different from the utility decrements found in the Australian, Austrian, Canadian, French, German, Italian, Polish and United Kingdom general population [12][13][14][15][16][17]. In the Dutch population, the largest decrement was observed for pain followed by physical functioning and role functioning, whereas in all other valuation studies, except for the Polish valuation study [17], the largest decrement was seen for physical functioning followed by pain.…”
Section: Discussioncontrasting
confidence: 69%
“…More details may be found in the paper on the Australian valuations [12]. GEE models were, in line with previous valuation studies on the EORTC QLU-C10D [12][13][14][15][16][17], used to estimate utility decrements. We did not use the mixed logit model to estimate utility decrements, as this model deals with the distribution of parameters rather than with point estimates and…”
Section: Discussionmentioning
confidence: 99%
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“…Among the generic items, physical functioning reported the largest decrements followed by pain and role functioning. These findings are in line with those in Germany [ 14 ], Austria, Italy, Poland [ 26 ] and France [ 39 ]. Among the cancer-specific items, nausea reported the largest utility decrement followed by bowel problems, which mimicked the same rank order found in the Austrian valuation study [ 16 ].…”
Section: Discussionsupporting
confidence: 90%