2002
DOI: 10.2165/00019053-200220070-00004
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Limitations of the Methods Used for Calculating Quality-Adjusted Life-Year Values

Abstract: This work suggests that the techniques used as a basis from which to calculate QALY values are flawed. In particular, the underlying assumptions of the multiattribute utility model do not correspond to behaviour patterns observed in a real population. It therefore appears that use of the QALY technique should be questioned in healthcare decision-making settings.

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Cited by 46 publications
(29 citation statements)
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“…It is worth mentioning that the average number of expected lifespan for inhabitants of Łódź in 2011 was 70.1 for males and 78.4 for females. These values were lower than the average value for Poland by 1.9 years for males and 2.6 years for females, and also lower than average life span for inhabitants of the European Union by 6.0 and 3.8 years respectively [20,21]. …”
Section: Introductionmentioning
confidence: 99%
“…It is worth mentioning that the average number of expected lifespan for inhabitants of Łódź in 2011 was 70.1 for males and 78.4 for females. These values were lower than the average value for Poland by 1.9 years for males and 2.6 years for females, and also lower than average life span for inhabitants of the European Union by 6.0 and 3.8 years respectively [20,21]. …”
Section: Introductionmentioning
confidence: 99%
“…Many published “cost-effectiveness” models are in fact cost-utility models, using “Quality Adjusted Life Years” (QALY) as subjective outcome measure [15,18-20]. The QALY method has received criticism, not only because different utility instruments (such as HUI, EQ5D or SF-6D questionnaires) generate statistically divergent utility scores in the same RA population, but because they can also lead to widely different cost-utility ratios [21-24]. This is raising much ethical questions, which also explains why the cost-utility (QALY ) approach is now banned from key countries such as USA, Germany and France [25].…”
Section: Discussionmentioning
confidence: 99%
“…Although this indirect method of determining preference is popular ( 28 ), there are criticisms with regard to the validity of utilities generated and to their lack of sensitivity in various disease states (29)(30)(31). Such methods do not measure patient preferences directly, and differences have been found in utility scores derived from different instruments ( 32,33 ).…”
Section: Discussionmentioning
confidence: 99%