An exploration of methods for obtaining 0 = dead anchors for latent scale EQ-5D-Y values

Shah, Koonal; Ramos-Goñi, Juan Manuel; Kreimeier, Simone; Devlin, Nancy

doi:10.1007/s10198-020-01205-9

Cited by 39 publications

(71 citation statements)

References 29 publications

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“…Higher values were placed on health states by children when compared with values placed on health states by adults. This tendency was also reported by Shah et al 9 These studies confirmed the necessity to develop EQ-5D-Y value sets and that, in this respect, the application of adult value sets was not appropriate.…”

supporting

confidence: 77%

Valuation Survey of EQ-5D-Y Based on the International Common Protocol: Development of a Value Set in Japan

et al. 2021

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Background EQ-5D-Y is a preference-based measure for children and adolescents (aged 8–15 y). This is the first study to develop an EQ-5D-Y value set for converting EQ-5D-Y responses to index values. Methods We recruited 1047 respondents (aged 20–79 y) from the general population, stratified by gender and age group, in 5 Japanese cities. All data were collected through face-to-face surveys. Respondents were asked to value EQ-5D-Y states for a hypothetical 10-y-old child from a proxy perspective using composite time tradeoff (cTTO) and a discrete choice experiment (DCE). The discrete choice data were analyzed using a mixed logit model. Latent DCE values were then converted to a 0 (death)/1 (full health) scale by mapping them to the cTTO values. Results The mean observed cTTO value of the worst health state [33333] was 0.20. Analysis of the DCE data showed that the coefficients of the domains related to mental functions (“Having pain or discomfort” and “Feeling worried, sad, or unhappy”) were larger than those for the domains related to physical and social functions. By converting latent DCE values to a utility scale, we constructed a value set for EQ-5D-Y. No inconsistencies were observed. The minimum predicted score was 0.288 [33333], and the second-best score was 0.957 [12111]. Conclusion A value set for EQ-5D-Y was successfully constructed. This is the first survey of an EQ-5D-Y value set. Interpreting the differences between EQ-5D-Y and EQ-5D-5L value sets is a future task with implications for health care policy.

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supporting

confidence: 77%

Valuation Survey of EQ-5D-Y Based on the International Common Protocol: Development of a Value Set in Japan

et al. 2021

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“…It is important to note that an additional set of data would be required to “anchor” these DCE data onto the QALY scale. 33 , 34 It is not necessarily the case that the anchoring task would be feasible in a sample of adolescents, especially if an approach such as time tradeoff is used, as in the EQ-5D-Y-3L protocol. 6 If it were feasible, it would theoretically be possible to generate an EQ-5D-Y-3L value set based entirely on adolescent preferences, which could be used in evaluations of interventions aimed at younger populations.…”

Section: Discussionmentioning

confidence: 99%

Valuing EQ-5D-Y-3L Health States Using a Discrete Choice Experiment: Do Adult and Adolescent Preferences Differ?

Mott

Shah

Ramos-Goñi³

et al. 2021

Med Decis Making

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Background An important question in the valuation of children’s health is whether the preferences of younger individuals should be captured within value sets for measures that are aimed at them. This depends on whether younger individuals can complete valuation exercises and whether their preferences differ from those of adults. This study compared the preferences of adults and adolescents for EQ-5D-Y-3L health states using latent scale values elicited from a discrete choice experiment (DCE). Methods An online DCE survey, comprising 15 pairwise choices, was provided to samples of UK adults and adolescents (aged 11–17 y). Adults considered the health of a 10-year-old child, whereas adolescents considered their own health. Mixed logit models were estimated, and comparisons were made using relative attribute importance (RAI) scores and a pooled model. Results In total, 1000 adults and 1005 adolescents completed the survey. For both samples, level 3 in pain/discomfort was most important, and level 2 in self-care the least important, based on the relative magnitudes of coefficients. The RAI scores (normalized on self-care) indicated that adolescents gave less weight relative to adults to usual activities (1.18 v. 1.51; P < 0.05), pain/discomfort (1.77 v. 3.12; P < 0.01), and anxiety/depression (1.64 vs. 2.65; P < 0.01). The pooled model indicated evidence of differences between the two samples in both levels in pain/discomfort and anxiety/depression. Limitations The perspective of the DCE task differed between the 2 samples, and no data were collected to anchor the DCE data to generate value sets. Conclusions Adolescents could complete the DCE, and their preferences differed from those of adults taking a child perspective. It is important to consider whether their preferences should be incorporated into value sets.

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“…Recently, a large volume of work has been carried out with the purpose of addressing this anchoring problem. See for instance [18][19][20][21][22][23] for examples of this work. Until this anchoring problem is properly resolved, DCE cannot be an alternative to the TTO approach, but DCE data may add extra information to produce a better model for valuation data.…”

Section: Introductionmentioning

confidence: 99%

The Danish EQ-5D-5L Value Set: A Hybrid Model Using cTTO and DCE Data

Jensen

Sørensen

Gudex

et al. 2021

Appl Health Econ Health Policy

116

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Objectives Quality-adjusted life-years (QALYs) are expected to be used for priority setting of hospital-dispensed medicines in Denmark from 2021. The aim of this study was to develop the first Danish value set for the EQ-5D-5L based on interviews with a representative sample of the Danish adult population. Methods A nationally representative sample based on age (> 18 years), gender, education, and geographical region was recruited using data provided by Statistics Denmark. Computer-assisted personal interviews were carried out using the EQ-VT 2.1. Respondents each valued ten health states using composite time trade-off (cTTO) and seven health states using discretechoice experiment (DCE). Different predictive models were explored using cTTO and DCE data alone or in combination as hybrid models. Model performance was assessed using logical consistency. Results A total of 1014 interviews were included in the analyses. The sample was representative of the Danish adult population, though the sample contained slightly more respondents with higher education than in the general population. Only the heteroscedastic censored hybrid model combining cTTO and DCE data yielded consistent results, and hence was chosen for modelling the final Danish value set. The predicted values ranged from − 0.757 to 1, and anxiety/depression was the dimension assigned most value by respondents. Conclusions This study established the Danish EQ-5D-5L value set, which represents the preferences of the Danish general population, and is expected to provide key input for healthcare decision-making in a Danish context.

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An exploration of methods for obtaining 0 = dead anchors for latent scale EQ-5D-Y values

Cited by 39 publications

References 29 publications

Valuation Survey of EQ-5D-Y Based on the International Common Protocol: Development of a Value Set in Japan

Valuation Survey of EQ-5D-Y Based on the International Common Protocol: Development of a Value Set in Japan

Valuing EQ-5D-Y-3L Health States Using a Discrete Choice Experiment: Do Adult and Adolescent Preferences Differ?

The Danish EQ-5D-5L Value Set: A Hybrid Model Using cTTO and DCE Data

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