Estimating Population-Based Values for EQ-5D Health States in Thailand

Tongsiri, Sirinart; Cairns, John

doi:10.1016/j.jval.2011.06.005

Cited by 132 publications

(114 citation statements)

References 26 publications

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“…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%

Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries

et al. 2018

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This study provides EQ-5D population norms for 20 countries (N = 163,838), which can be used to compare profiles for patients with specific conditions with data for the average person in the general population in a similar age and/or gender group. Descriptive EQ-5D data are provided for the total population, by gender and by seven age groups. Provided index values are based on European VAS for all countries, based on TTO for 11 countries and based on VAS for 10 countries. Important differences exist in EQ-5D reported health status across countries after standardizing for population structure. Self-reported health according to all five dimensions and EQ VAS generally decreased with increasing age and was lower for females. Mean self-rated EQ VAS scores varied from 70.4 to 83.3 in the total population by country. The prior living standards (GDP per capita) in the countries studied are correlated most with the EQ VAS scores (0.58), while unemployment appeared to be significantly correlated in people over the age of 45 only. A country's expenditure on health care correlated moderately with higher ratings on the EQ VAS (0.55). EQ-5D norms can be used as reference data to assess the burden of disease of patients with specific conditions. Such information, in turn, can inform policy-making and assist in setting priorities in health care. KeywordsHealth state values · EQ-5D · Population norms · Health-related quality of life JEL Classification I10 · I30 · J11 · H51

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Section: Datamentioning

confidence: 99%

Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries

et al. 2018

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“…The EQ-VAS of Thai patients after heart surgery (0.84 in Table 2) was higher than that of the Thai general population (0.77) [13] (P < 0.01). However, it should be noted that the mean age of the general Thai population (44.6 years) and the percentage of males (45.7%) [13] were lower than those of the Thai patients after heart surgery (mean age = 50.4 ± 13.7 and male = 49.5%). Generally, younger male people tended to have a higher HRQoL than older women.…”

Section: Health Utilitymentioning

confidence: 78%

“…Table 5. Analysis of EQ-5D, EQ-VAS, Physical and Mental Component Summary scores based on patient characteristics Characteristic n = 386 EQ-5D EQ-VAS PCS MCS mean ± ± ± ± ± SD mean ± ± ± ± ± SD mean ± ± ± ± ± SD mean ± ± ± ± ± SD The patients had the marginally lower EQ-5D utility score, but slightly higher EQ-VAS score than those of the Thai general population [13]. This finding confirmed that their HRQoL corresponded to those of the general Thai population.…”

Section: Discussionmentioning

confidence: 99%

“…Thai patients after heart surgery possessed a higher EQ-5D score (0.81 in Table 2) than that of Thai patients with ischemic heart diseases (0.75) [15] and with heart failure (0.73) [16], but lower than the Thai general population (0.84) [13] (all P < 0.01; data not shown in the Table). Nevertheless, higher percentages of the patients reported 'no problems' in every domain of EQ-5D except for 'Usual activities' compared with those of Thais in general ( Table 4).…”

Section: Health Utilitymentioning

confidence: 91%

“…Each attribute has three levels: no problem, some problems, and major problems. Its Thai version was obtained from the EuroQoL Group and the Thai value set was employed to calculate EQ-5D utility scores [13]. A resulting EQ-5D score is usually between -0.45 and 1.00, where 1.00 and 0 represent perfect health and death, respectively.…”

Section: Study Instrumentsmentioning

confidence: 99%

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Assessment of health-related quality of life in Thai patients after heart surgery

2015

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Background:Little is known about health-related quality of life (HRQoL) of Thai patients after heart surgery. The Thai government initiated a cardiac surgery project to celebrate the 80 th birthday anniversary of His Majesty The King. Objectives: To evaluate the HRQoL of Thai patients after heart surgery, as part of the Thai government's cardiac surgery project, and to investigate the association of HRQoL instruments and patient characteristics. Methods: Of 7,863 patients in the project, 386 were randomly selected for a telephone interview by trained researchers during June-November 2008. The HRQoL of Thai patients was measured using 12-item Short Form version 2 and EuroQoL (EQ-5D) plus an EQ-5D visual analog scale (EQ-VAS). Results: The mean age of patient participants was 50.4 ± 13.7 years (range 17−82) and 49.5% were male. The Physical Component Summary (PCS) and Mental Component Summary (MCS) scores were reported as 46.91 and 54.44, respectively, compared with the US norm scores of 50. The EQ-5D and EQ-VAS utility scores of 0.81 and 0.84 were comparable to those of Thai general population (0.77−0.84), but higher than those of Thai patients with heart disease (0.73−0.75). Patients with older age, female sex, unemployment, and presence of comorbidity rated a lower HRQoL. The multiple linear regression models showed that both EQ-5D and EQ-VAS were associated with PCS and MCS and could be predicted by 40%-50%. Conclusion: Overall, the HRQoL of patients after the heart surgery was satisfactory. The QoL in patients with a specific types of heart surgery warrants further study.

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Design and sample size considerations for valuation studies of multi‐attribute utility instruments

Shams

Pullenayegum

2020

Statistics in Medicine

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The EQ‐5D, a widely used multiattribute utility instrument, is commonly used in health economic evaluations where the goal is to decide on which treatments to reimburse. Like other instruments, value sets of the EQ‐5D are constructed using valuation studies typically valuing a subset of the health states and using predicted values from a regression model for the unvalued health states. In current practice the prediction errors associated with the value sets are substantial. The goal of this work is 2‐fold. First, derive a formula of the mean squared error (MSE) of a value set assuming that the value set is estimated using a linear mixed model with either an independent or a Gaussian spatial correlation on the model misspecification error. Second, explore the effect of the number of health states directly valued, the number of participants and the correlation structure on the MSE. Keeping the total number of participants and the total number of valuations fixed, valuing all 242 health states of the EQ‐5D‐3L was found to reduce the MSE considerably compared with the common practice of valuing only 42 health states. Furthermore, an independent correlation structure with 3773 participants valuing 42 health states produced the MSE that can be achieved with less than 600 participants valuing all 242 health states under a Gaussian spatial correlation structure. Based on the comparison of the MSE values of some of the well‐known designs our suggestion is to value more health states and to use a model with spatially correlated misspecification errors.

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Estimating Population-Based Values for EQ-5D Health States in Thailand

Abstract: Values for EQ-5D health states were estimated from the Thai general population. This is the first Thai generic health state value results to be used in evaluating health interventions in Thailand.

Cited by 132 publications

References 26 publications

Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries

Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries

Assessment of health-related quality of life in Thai patients after heart surgery

Design and sample size considerations for valuation studies of multi‐attribute utility instruments

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