1995
DOI: 10.1001/archderm.131.5.561
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Assessing the preferences of patients with psoriasis. A quantitative, utility approach

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Cited by 40 publications
(65 citation statements)
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“…SG involves patients making a choice based on uncertainty, whereas the EQ-VAS does not. Consistent with previous studies, we found a low correlation between SG and the EQ-VAS [42][43][44][45]. The correlations between the EQ-VAS and other HRQoL instrument scores were all considerably higher than the correlations with SG.…”
Section: Validitysupporting
confidence: 91%
“…SG involves patients making a choice based on uncertainty, whereas the EQ-VAS does not. Consistent with previous studies, we found a low correlation between SG and the EQ-VAS [42][43][44][45]. The correlations between the EQ-VAS and other HRQoL instrument scores were all considerably higher than the correlations with SG.…”
Section: Validitysupporting
confidence: 91%
“…Serono had no primary sources of utility data for this purpose (for example, from trials). Instead, a literature search identified a study by Zug and colleagues 26 which elicited utilities, based on the time trade-off instrument, from 87 patients with psoriasis. Serono argues that non-response in their model can appropriately be given a utility value that accords with Zug and …”
Section: Methodsmentioning
confidence: 99%
“…25 However, a US study of 87 patients at a tertiary medical clinic, in which three QoL instruments were assessed, found no relationship between HRQoL and any demographic variable, including age, gender and education. 26 The economic impact of psoriasis in terms of outof-pocket expenses increases with severity 27 and the effect is greater in lower income groups. 23 A UK study of people with severe psoriasis found that around 60% had taken time off work in the previous year as a direct result of their condition.…”
Section: Significance In Terms Of Ill-healthmentioning
confidence: 99%
“…18 Treatment preferences of patients with psoriasis have been investigated in a number of studies using time trade-off, willingness-to-pay, and standard gamble methods, as well as visual analogue scales. [19][20][21][22] Another approach to assess preferences is conjoint analyses in which participants have to choose between treatment options, resembling actual decision-making. [23][24][25] Conjoint analysis exercises force trade-offs in a choice context and allow quantification and comparison of attributes related to treatment outcomes and processes.…”
Section: Introductionmentioning
confidence: 99%