2006
DOI: 10.1186/1478-7954-4-13
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Deriving utility scores for co-morbid conditions: a test of the multiplicative model for combining individual condition scores

Abstract: The findings support the simple multiplicative model for computing utilities for co-morbid conditions from the utilities for the individual conditions involved. Future work using a wider variety of conditions and data sources could serve to further evaluate and refine the approach.

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Cited by 48 publications
(60 citation statements)
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“…No reference is made to the adjustment of values in this way in either the 2004 or 2008 Methods Guides [1,2]. In the research in the area to date, there have been conflicting opinions regarding the most appropriate method of adjustment [7][8][9]. There is a clear need for further guidance on the appropriateness of adjusting values in this way and on the best methods for undertaking such adjustments.…”
Section: Discussionmentioning
confidence: 97%
“…No reference is made to the adjustment of values in this way in either the 2004 or 2008 Methods Guides [1,2]. In the research in the area to date, there have been conflicting opinions regarding the most appropriate method of adjustment [7][8][9]. There is a clear need for further guidance on the appropriateness of adjusting values in this way and on the best methods for undertaking such adjustments.…”
Section: Discussionmentioning
confidence: 97%
“…Dale et al (2002) and Fu and Kattan (2008) recommend using a minimum model, which predicts a joint-state utility as being equal to the lower of the two given single-state utilities for an individual. However, Flanagan et al (2006) recommend the use of a multiplicative model. Further research is needed in this area.…”
Section: Discussionmentioning
confidence: 99%
“…Their estimation can be particularly useful for health-economic evaluations of interventions that have an impact on improving patient quality of life, such as prophylactic or acute medications for migraine. A number of studies have been published describing health utility values among individuals with migraine [3][4][5][6][7][8][9][10][11][12][13]; however, all have reflected assessments essentially conducted at random time points (i.e., mixing together patients and/or periods during which migraine attacks were and were not experienced). These studies are useful for understanding the general chronic burden of migraine in the population.…”
Section: Introductionmentioning
confidence: 99%