2022
DOI: 10.1007/s10198-022-01519-w
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Mapping analysis to predict SF-6D utilities from health outcomes in people with focal epilepsy

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Cited by 2 publications
(6 citation statements)
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“…We compared our findings with those of studies conducted in different countries. 34 , 35 The mean utility values (0.584) of persons living with epilepsy in developed countries (the United Kingdom, France, Italy, Germany, and Spain) were higher than those of the current study. 34 The pooled estimate of health utility values in stroke survivors for the SF-6D was reported as 0.70 (95% confidence interval [CI] 0.63–0.78; 2 studies), 35 which is higher than the utility values for the Nigerian stroke survivors.…”
Section: Discussioncontrasting
confidence: 77%
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“…We compared our findings with those of studies conducted in different countries. 34 , 35 The mean utility values (0.584) of persons living with epilepsy in developed countries (the United Kingdom, France, Italy, Germany, and Spain) were higher than those of the current study. 34 The pooled estimate of health utility values in stroke survivors for the SF-6D was reported as 0.70 (95% confidence interval [CI] 0.63–0.78; 2 studies), 35 which is higher than the utility values for the Nigerian stroke survivors.…”
Section: Discussioncontrasting
confidence: 77%
“… 34 , 35 The mean utility values (0.584) of persons living with epilepsy in developed countries (the United Kingdom, France, Italy, Germany, and Spain) were higher than those of the current study. 34 The pooled estimate of health utility values in stroke survivors for the SF-6D was reported as 0.70 (95% confidence interval [CI] 0.63–0.78; 2 studies), 35 which is higher than the utility values for the Nigerian stroke survivors. The use of a different type of tool and the severity of the condition could be the reasons for the variation of health state utility values.…”
Section: Discussioncontrasting
confidence: 77%
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“…Flint et al, developed a mapping algorithm to predict SF-6D values in adults with focal-onset seizures for use in economic evaluations of CNB [ 100 ]. This preference-based measure of health-related quality of life can assess six dimensions of health status, including physical functioning, role limitation, social functioning, pain, mental functioning, and vitality [ 101 ].…”
Section: Discussionmentioning
confidence: 99%
“…This preference-based measure of health-related quality of life can assess six dimensions of health status, including physical functioning, role limitation, social functioning, pain, mental functioning, and vitality [ 101 ]. The authors found that the mapping algorithm proposed may predict SF-6D values from clinical outcomes in people with epilepsy [ 100 ]. Therefore, researchers can use outcome data from clinical trials with CNB to facilitate cost–utility analysis.…”
Section: Discussionmentioning
confidence: 99%