METHODS: A multi-stage sampling design was adopted for the study and data collection took place in three phases in 2010, 2011, and 2012 in the Northern region of Malaysia. Face-to-face interviews involved respondents answering both 13 TTO and 15 VAS valuation tasks were carried out. Both additive and multiplicative model specifications were explored using the valuation data. Model performance was evaluated using out-of-sample predictive accuracy by applying the cross-validation technique. The distribution of the model values was also graphically compared on Bland-Altman plots and kernel density distribution curves.

RESULTS: Data from 630 and 611 respondents were included for analyses using TTO and VAS models, respectively. In terms of main-effects specifications, cross-validation results revealed a slight superiority of multiplicative models over its additive counterpart in modelling TTO values. However, both main-effects models had roughly equal predictive accuracy for VAS models. The non-linear multiplicative model with I32 term, MULT7_TTO, performed best for TTO models; while, the linear additive model with N3 term, ADD11_VAS, outperformed the other VAS models. Multiplicative modelling neither altered the dimensional rankings of importance nor did it change the distribution of values of the health states.

METHODS: 1137 members of the Malaysian general public were sampled in this national study. Respondents were recruited by quota sampling of urbanicity, gender, age, and ethnicity. In face-to-face interviews, respondents first answered the EQ-5D-5L questionnaire administered using the EQ-Valuation Technology software, and then completed the EQ-5D-3L questionnaire on paper. A subgroup of the respondents were given paper form of EQ-5D-5L for completion within 2 weeks for test-retest reliability. Ceiling effects, response redistribution, informativity, and convergent validity were compared between EQ-5D-5L and ED-5D-3L separately by Malay and English language versions.

RESULTS: The proportion of 'full health' responses (11111) drastically decreased by 25.55% and 15.74% in the Malay and English language versions indicating lower ceiling effects in EQ-5D-5L. Inconsistencies from response redistribution was below 6% for all dimensions across languages. The measure of relative informativity was comparatively higher in EQ-5D-5L than in EQ-5D-3L in both language versions, with the exception of dimensions mobility and pain/discomfort in the English version. Convergent validity in terms of correlation with EQ-VAS was relatively better for EQ-5D-5L dimensions, with pain/discomfort of the Malay version having the strongest correlation (|r| = 0.37). Also, reliability testing revealed moderate to poor agreements on all 5L dimensions.

METHODS: A cross-sectional study was conducted on T2DM patients at a tertiary hospital outpatient using the Malay and English version of the EQ-5D-5L questionnaire. Health utility values were derived using the Malaysian EQ-5D-5L value set. Ordinary least squares (OLS) multivariable regression model was used to estimate the health utility decrements associated with T2DM-related complications and clinical characteristics.

METHODS: Respondents were sampled with quotas for urbanicity, gender, age, and ethnicity to ensure representativeness of the Malaysian population. The study was conducted using a standardized protocol involving the EuroQol Valuation Technology (EQ-VT) computer-assisted interview system. Respondents were administered ten composite time trade-off (C-TTO) tasks and seven discrete choice experiment (DCE) tasks. Both linear main effects and constrained non-linear regression models of C-TTO-only data and hybrid models combining C-TTO and DCE data were explored to determine an efficient and informative model for value set prediction.

RESULTS: Data from 1125 respondents representative of the Malaysian population were included in the analysis. Logical consistency was present in all models tested. Using cross-validation, eight-parameter models for C-TTO only and C-TTO + DCE hybrid data displayed greater out-of-sample predictive accuracy than their 20-parameter, main-effect counterparts. The hybrid eight-parameter model was chosen to represent the Malaysian value set, as it displayed greater out-of-sample predictive accuracy over C-TTO data than the C-TTO-only model, and produced more precise estimates. The estimated value set ranged from - 0.442 to 1.

METHODS: A cross-sectional study involving members of the Malaysian public was carried out using the convenience sampling method. Descriptive statistics were used to summarise the socio-demographic characteristics of the respondents. Associations between knowledge items/scores and other items were assessed using Spearman's rank correlations and Cramer's V. Regression analyses were carried out to determine whether the socio-demographic characteristics of the respondents influenced knowledge and practice relating to unregistered medications.