Transforming Latent Utilities to Health Utilities: East Does Not Meet West

Xie, Feng; Pullenayegum, Eleanor; Pickard, A. Simon; Goñi, Juan Manuel Ramos; Jo, Min Woo; Igarashi, Ataru

doi:10.1002/hec.3444

Cited by 14 publications

(18 citation statements)

References 28 publications

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“…The agreement of this model with the value set from each of these countries proved to be very strong and better than the agreement produced by the CENS median model. Our comparisons lend support to the finding that “East does not meet West” in health state utilities and that there is less variation in the Western countries (Xie et al, ).…”

Section: Discussionsupporting

confidence: 79%

In search of a common currency: A comparison of seven EQ-5D-5L value sets

2017

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The recently published EQ-5D-5L value sets from Canada, England, Japan, Korea, the Netherlands, Spain, and Uruguay are compared with an aim to identify any similarities in preference pattern. We identify some striking similarities for Canada, England, the Netherlands, and Spain in terms of (a) the relative importance of the 5 dimensions; (b) the relative utility decrements across the 5 levels; and (c) the scale length. On the basis of the observed similarities across these 4 Western countries, we develop an amalgam model, WePP (western preference pattern), and compare it with these 4 value sets. The values generated by this model show a high degree of concordance with those of England, Canada, and Spain. Patient level data were obtained from the Multi-Instrument Comparison project, which includes participants from 6 countries in 7 disease groups (N = 7,933): The WePP values lie within the confidence intervals for the value sets in Canada, England, and Spain across the whole severity distribution. We suggest that the WePP model represents a useful "common currency" for (Western) countries that have not yet developed their own value sets. Further research is needed to disentangle the differences between value sets due to preference heterogeneity from those stemming from methodological differences.

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Section: Discussionsupporting

confidence: 79%

In search of a common currency: A comparison of seven EQ-5D-5L value sets

2017

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“…Utility weights for ASCOT have been developed for the UK [10], but not for Japan. As utility weights might differ between countries due to differences in population characteristics and potential issues with questionnaire translation [15], it is important to develop utility weights tailored to each country, and compare them across countries to better understand differences in preferences for ASCOT states among countries or regions. To this end, we conducted a study to determine Japanese utility weights for ASCOT-SCT4.…”

Section: Introductionmentioning

confidence: 99%

Development of Japanese utility weights for the Adult Social Care Outcomes Toolkit (ASCOT) SCT4

et al. 2019

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Purpose In developed countries, progressive rapid aging is increasing the need for social care. This study aimed to determine Japanese utility weights for the Adult Social Care Outcomes Toolkit (ASCOT) four-level self-completion questionnaire (SCT4). Methods We recruited 1050 Japanese respondents from the general population, stratified by sex and age, from five major cities. In the best-worst scaling (BWS) phase, respondents ranked various social care-related quality of life (SCRQoL) states as "best," "worst," "second-best," or "second-worst," as per the ASCOT. Then, respondents were asked to evaluate eight different SCRQOL states by composite time-trade off (cTTO). A mixed logit model was used to analyze BWS data. The association between cTTO and latent BWS scores was used to estimate a scoring formula that would convert BWS scores to SC-QALY (social care quality-adjusted life year) scores. Results Japanese BWS weightings for ASCOT-SCT4 were successfully estimated and found generally consistent with the UK utility weights. However, coefficients on level 3 of "Control over daily life" and "Occupation" domains differed markedly between Japan and the UK. The worst Japanese SCRQoL state was lower than that for the UK, as Japanese cTTO results showed more negative valuations. In general, Japanese SC-QALY score (for more than 90% of health states) was lower than that for the UK. Conclusions We successfully obtained Japanese utility weights for ASCOT SCT4. This will contribute to the measurement and understanding of social care outcomes. Keywords ASCOT • Preference • Best-worst scaling (BWS) • Time trade-off (TTO) • Quality of life • Social care • Social care-related quality of life (SCRQoL)

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“…Correlation across health states is expected to be higher than at the level of the individual health state 21 ; indeed, a separate analysis of our data also revealed an R 2 of 96% when using modeled latent utilities based on the DCE data to predict observed mean TTO utilities for the 86 TTO-valued health states. 23 An important contribution of this article is to assess association and agreement at the level of the individual health state, within respondents.…”

Section: Discussionmentioning

confidence: 99%

Latent Class Models Reveal Poor Agreement between Discrete-Choice and Time Tradeoff Preferences

2019

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Background. In health economics, there has been interest in using discrete-choice experiments (DCEs) to derive preferences for health states in lieu of previously established approaches like time tradeoff (TTO). We examined whether preferences elicited through DCEs are associated and agree with preferences elicited through TTO tasks. Methods. We used data from 1073 respondents to the Canadian EQ-5D-5L valuation study. Multivariate mixed-effects models specified a common likelihood for the TTO and discrete-choice data, with separate but correlated random effects for the TTO and DCE data, for each of the 5 EQ-5D-5L dimensions. Multivariate latent class models allowed separate but associated latent classes for the DCE and TTO data. Results. Correlation between the random effects for the 2 tasks ranged from −0.12 to 0.75, with only pain/discomfort and anxiety/depression having at least a 50% posterior probability of strong (>0.6) correlation. Latent classes for the TTO and DCE data both featured 1 latent class capturing participants attaching large disutilities to pain/discomfort, another capturing participants attaching large disutility to anxiety/depression, and the third class capturing the remainder. Agreement in class membership was poor (κ coefficient: 0.081; 95% credible interval, 0.033–0.13). Fewer respondents expressed strong disutilities for problems with anxiety/depression or pain/discomfort in the TTO than the DCE data (17% v. 55%, respectively). Conclusions. Stated preferences using TTO and DCEs show association across dimensions but poor agreement at the level of individual health states within respondents. Joint models that assume agreement between DCE and TTO have been used to develop national value sets for the EQ-5D-5L. This work indicates that when combining data from both techniques, methods requiring association but not agreement are needed.

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Transforming Latent Utilities to Health Utilities: East Does Not Meet West

Cited by 14 publications

References 28 publications

In search of a common currency: A comparison of seven EQ-5D-5L value sets

In search of a common currency: A comparison of seven EQ-5D-5L value sets

Development of Japanese utility weights for the Adult Social Care Outcomes Toolkit (ASCOT) SCT4

Latent Class Models Reveal Poor Agreement between Discrete-Choice and Time Tradeoff Preferences

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