Valuation of the EQ-5D-5L in Taiwan

Lin, Hsueh-Chun; Li, Chia Ing; Lin, Fang; Chang, Julia Yu-Fong; Gau, Churn-Shiouh; Luo, Nan; Pickard, A. Simon; Goñi, Juan Manuel Ramos; Tang, Chao Hsiun; Hsu, Chien‐Ning

doi:10.1371/journal.pone.0209344

Cited by 50 publications

(42 citation statements)

References 24 publications

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“…This approach has been used in several national EQ-5D-5L valuation studies. [25][26][27][28][29][30][31][32][33] The hybrid model will combine the likelihood functions of a linear model for the c-TTO data and a logit model for the DCE data. As the coefficients will be estimated from a conditional logit and expressed on a latent arbitrary utility scale, we will use a rescaled parameter θ, which will assume that the c-TTO model coefficients are proportional to DCE model coefficients.…”

Section: Modellingmentioning

confidence: 99%

Valuing health-related quality of life among the Indian population: a protocol for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study

et al. 2020

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IntroductionQuality-adjusted life year (QALY) has been recommended by the government as preferred outcome measure for Health Technology Assessment (HTA) in India. As country-specific health-related quality of life tariff values are essential for accurate measurement of QALYs, the government of India has commissioned the present study. The aim of this paper is to describe the methods for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study. Additionally, this study aspires to establish if the design of 10-time trade-off (TTO) blocks is enough to generate valid value sets.Methods and analysisA cross-sectional survey using the EuroQol Group’s Valuation Technology (EQ-VT) will be undertaken in a sample of 2700 respondents selected from six different states of India using a multistage stratified random sampling technique. The participants will be interviewed using computer-assisted personal interviewing technique. The TTO valuation will be done using 10 composite TTO (c-TTO) tasks and 7 discrete choice experiment (DCE) tasks. Hybrid modelling approach using both c-TTO and DCE data to estimate the potential value set will be applied. Values of all 3125 health states will be predicted using both the conventional EQ-VT design of 10 blocks of 10 TTO tasks, and an extended design of 18 blocks of 10 TTO tasks. The potential added value of the eight additional blocks in overall validity will be tested. The study will deliver value set for India and assess the adequacy of existing 10-blocks design to be able to correctly predict the values of all 3125 health states.Ethics and disseminationThe ethical approval has been obtained from Institutional Ethics Committee of PGIMER, Chandigarh, India. The anonymised EQ-5D-5L value set will be available for general use and in the HTAs commissioned by India’s central HTA Agency.

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Section: Modellingmentioning

confidence: 99%

Valuing health-related quality of life among the Indian population: a protocol for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study

et al. 2020

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“…This high proportion of WTD observed may have reflected a cultural difference in Taiwan. Similarly, in the Taiwanese EQ-5D-5L value set development study, 38.5% of the preference scores measured by the composite TTO were negative, which proportion was the highest among Asian countries [ 19 ]. The authors believed that it was because Taiwanese people are covered by the comprehensive NHI system and adapt to milder diseases.…”

Section: Discussionmentioning

confidence: 99%

Health state utilities for metastatic breast cancer in Taiwan

Chou

Chiang

2020

The Breast

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Background New developments in medications for metastatic breast cancer (MBC) can be of great benefit to patients, but unfortunately these medicines also increase expenditures. Cost-utility analyses (CUAs) are needed to allocate health resources properly, and health utility values are required to calculate quality-adjusted life years in those CUAs. Objective The aims of this study were to measure health utility values for several MBC-related health states and certain breast cancer treatment-related grade 3/4 adverse drug reactions (ADRs). In addition, we examined whether different methods and respondents’ characteristics would influence the utility values elicited. Methods A cross-sectional survey was conducted. The visual analogue scale (VAS) and time trade-off (TTO) methods were used to measure health utilities. Four MBC and nine ADR health states were selected for evaluation based on literature review and expert opinion. Information about respondents’ demographic and clinical characteristics were collected to examine the relationship between utilities and participant characteristics. Results A total of 102 patients participated in this study. The TTO-elicited values were higher than the VAS-derived scores except for two MBC-related health states. Among the MBC health states assessed, the TTO preference score ranged from 0.04 (palliative MBC) to 0.62 (responding MBC). For grade 3/4 ADRs, the mean TTO-derived utility values ranged from 0.35 (nausea/vomiting) to 0.79 (fatigue). The ranking of the preference scores derived from the VAS was similar to that of the TTO-elicited scores. Conclusion This study obtained health state utility values for MBC and grade 3/4 ADRs using both the TTO and the VAS, which provides useful data for future CUAs.

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“…To do this, analysts have assumed that β DCE = θ β TTO for some scalar θ . 6–15 The usual hybrid model then multiples the likelihoods for the Tobit and conditional logit and maximizes it over β TTO , σ 2 , and θ . 32…”

Section: Methodsmentioning

confidence: 99%

“…However, of the 18 countries with published value sets, 10 used both types of data. [6][7][8][9][10][11][12][13][14][15] One motivation for this is the possibility of a more accurate value set on including more data. If the latent DCE utilities are a linear transform of the TTO utilities, then using both types of data should improve predictive precision.…”

mentioning

confidence: 99%

“…Furthermore, a number of studies have noted that TTO data display heteroscedasticity. 8,10,11,[13][14][15][16][17][18] In valuation studies of the original version of the EQ-5D (EQ-5D-3L), ignoring heteroscedasticity did not lead to bias because these studies employed linear regression models. It is well known in the statistical literature that ordinary least squares (i.e., linear regression modeling ignoring correlation) leads to unbiased estimates of the regression coefficients 19 regardless of the distribution of the error term.…”

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Using Both Time Tradeoff and Discrete Choice Experiments in Valuing the EQ-5D: Impact of Model Misspecification on Value Sets

et al. 2020

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Introduction. The EQ-5D-5L valuation protocol contains both time tradeoff (TTO) tasks and discrete choice experiments (DCE), raising the question of how to best use these in creating a value set. The hybrid model, which combines TTO and DCE data, has emerged as a commonly used approach. However, this model assumes independence among responses from the same individual, a linear relationship between TTO and DCE utilities, and, in many implementations, homoscedastic residuals. The aims of this study are to examine alternatives to these assumptions and determine the impact of misspecification on value sets. Methods. We performed a simulation study, parameterized using the US EQ-5D-5L valuation study, to assess the impact of model misspecification. We simulated TTO and DCE data with nonlinear relationships between TTO and DCE utilities, heteroscedastic errors, and correlated responses. Simulated data were analyzed using hybrid models with and without heteroscedasticity, Tobit models with and without heteroscedasticity, a latent class model, and a mixed model. Results. Mean absolute errors (MAEs) for correctly specified models were <0.05, whereas models that incorrectly assumed a linear relationship between TTO and DCE utilities or homoscedasticity of TTO responses featured states with an MAE >0.1. When a linear relationship between TTO and DCE utilities held, using both TTO and DCE data under correct specification yielded smaller MAEs compared with using TTO data alone but yielded larger MAEs when a linear relationship did not hold. Mistakenly assuming homoscedasticity led to increased MAEs, whereas ignoring dependence did not. Conclusions. Because heteroscedasticity in TTO utilities and nonlinear associations between DCE and TTO utilities have been noted, we recommend careful assessment of scedasticity and linearity to ascertain the suitability of a hybrid model.

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Valuation of the EQ-5D-5L in Taiwan

Cited by 50 publications

References 24 publications

Valuing health-related quality of life among the Indian population: a protocol for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study

Valuing health-related quality of life among the Indian population: a protocol for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study

Health state utilities for metastatic breast cancer in Taiwan

Using Both Time Tradeoff and Discrete Choice Experiments in Valuing the EQ-5D: Impact of Model Misspecification on Value Sets

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