2009
DOI: 10.1111/j.1524-4733.2009.00579.x
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South Korean Time Trade-Off Values for EQ-5D Health States: Modeling with Observed Values for 101 Health States

Abstract: The study successfully establishes South Korean population-based preference weights for the EQ-5D. The value set derived here is based on a representative population sample, limiting the interpolation space and possessing better model performance. Thus, this EQ-5D value set should be given preference for use with the South Korean population.

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Cited by 406 publications
(339 citation statements)
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References 16 publications
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“…Two latent classes of MS were identified in regard to lifestyle behaviors. Previous studies have analyzed the latent classes of MS based on diagnostic criteria or types of physical activity; therefore, there are limitations to directly comparing the results of this study with those of previous studies (Boyko et al, 2011;Arguelles et al, 2015;Metzger et al, 2010;Lee et al, 2009). Nevertheless, the present results reinforce that latent classes exist that have different features.…”
Section: Discussionsupporting
confidence: 35%
See 1 more Smart Citation
“…Two latent classes of MS were identified in regard to lifestyle behaviors. Previous studies have analyzed the latent classes of MS based on diagnostic criteria or types of physical activity; therefore, there are limitations to directly comparing the results of this study with those of previous studies (Boyko et al, 2011;Arguelles et al, 2015;Metzger et al, 2010;Lee et al, 2009). Nevertheless, the present results reinforce that latent classes exist that have different features.…”
Section: Discussionsupporting
confidence: 35%
“…The EQ-5D consists of multiple-choice questions that can be answered using a three-point scale ranging from 1 ("not affected") to 3 ("seriously affected") to determine current health status; this is applied to five items: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. In this study we used the EQ-5D Index, which was calculated by weighting each item (Lee et al, 2009). The variable was dichotomously re-categorized (9.0 = "high"; less than 9.0 = "low") for complex sample simple logistic regression.…”
Section: Dependent Variablementioning
confidence: 99%
“…Countries included in the analysis were: Argentina, Belgium, China, Denmark, England, Finland, France, Germany, Greece, Hungary, Italy, Korea, the Netherlands, New Zealand, Slovenia, Spain, Sweden, Thailand, United Kingdom, and the United States [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. For two countries (Argentina and China), the dataset transfer to the central archive was not possible.…”
Section: Datamentioning
confidence: 99%
“…Responses to the EQ‐5D‐3L were obtained from patients or their family members (when the patients could not communicate) by phone at 1‐year post‐IAT. The individual utility weights for the EQ‐5D‐3L‐based QALY were obtained from a South Korean general population survey (Lee et al., 2009). The direct saving of the institutional rehabilitation costs and the QALY gains were obtained for the >6‐hr and ≤6‐hr groups, by comparison with the 1‐year cost and QALY‐gain of the no‐recanalization group.…”
Section: Methodsmentioning
confidence: 99%