2004
DOI: 10.1002/hec.910
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Modelling EuroQol health‐related utility values for diabetic complications from CODE‐2 data

Abstract: Recent research has employed different analytical techniques to estimate the impact of the various long-term complications of type 2 diabetes on health-related utility and health status. However, limited patient numbers or lack of variety of patient experience has limited their power to discriminate between separate complications and grades of severity. In this study alternative statistical model forms were compared to investigate the influence of various factors on self-assessed health status and calculated u… Show more

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Cited by 208 publications
(210 citation statements)
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“…The average objective HRQoL assessment (EQ-5D index) differed significantly between the populations: from about 0.61 in Greece and 0.67 in the UK, Italy, Canada and Finland, to around 0.80 in the United States and 0.84 in Spain. The largest studies, with probably the most reliable measurements, indicated a level of 0.69 (5 countries in the European Union, n = 4641) to about 0.77 (United Kingdom, n = 3192) and 0.78 (United States, n = 3849) [20][21][22]. These observed differences can be explained by several different factors, e.g.…”
Section: Discussionmentioning
confidence: 99%
“…The average objective HRQoL assessment (EQ-5D index) differed significantly between the populations: from about 0.61 in Greece and 0.67 in the UK, Italy, Canada and Finland, to around 0.80 in the United States and 0.84 in Spain. The largest studies, with probably the most reliable measurements, indicated a level of 0.69 (5 countries in the European Union, n = 4641) to about 0.77 (United Kingdom, n = 3192) and 0.78 (United States, n = 3849) [20][21][22]. These observed differences can be explained by several different factors, e.g.…”
Section: Discussionmentioning
confidence: 99%
“…Utility detriments within the modelling are informed by the detriments reported across the studies of Bagust and Beale, 98 Clarke and colleagues 100 and Coffey and colleagues. 97 The principal differences occur in end-stage renal disease, minor transplantation and blindness in one eye (Table 52).…”
Section: Model Parametersmentioning
confidence: 99%
“…In addition to these, Bagust and Beale 98 explore a compound effects mode, but as the compound modelling components are not readily applicable to the modelling undertaken within the EAGLE package, these are not considered in the following. The values for the VAS and TTO modelling are summarised in Table 19 98 Clarke and colleagues 100 use EQ-5D data from 3192 British people with type 2 diabetes from the UKPDS 62 survey to model the impact that diabetic complications have on both the VAS of EQ-5D and the TTO social tariff as reported by Dolan. 96 Clarke and colleagues 100 did not modify the TTO values, but did apply Tobit modelling in an attempt to reduce bias that might result from a significant proportion of respondents reporting themselves as being in full health.…”
mentioning
confidence: 99%
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