EQ-5D-5L Portuguese population norms.

The EQ-5D-5L is a generic preference-based quality-of-life measure for which the corresponding Portuguese population value set was only recently developed. This study sought to establish EQ-5D-5L population norms for Portugal and to identify significant relationships with sociodemographic variables. The research was based on a representative sample of Portugal's general population (n = 1006) aged 18 or older. The sample was stratified by gender, age group, and geographical region. The respondents were interviewed by telephone and asked to value their own state of health using both the EQ-5D-5L description system and the EuroQol-Visual Analogue Scale (EQ VAS). The estimated mean EQ-5D-5L index for Portugal's general population is 0.887 (standard error [SE] = 0.0051), and the EQ VAS score was estimated as 76.0 (SE = 0.640). One-third of the population reported being in the best health state (11111). Women, individuals 70 years old or more and people with low education or a chronic disease reported a lower EQ-5D-5L index score (p < 0.001). Residents in the Azores and the Algarve reported higher health utility scores. The EQ-5D-5L Portuguese population norms obtained can be used as reference scores. These norms are consistent with other countries' population norms. The findings facilitate clinical, economic, and policy decision-making processes and provide a fuller understanding of the Portuguese population's health-related quality of life.

Ferreira PL ，Pereira LN ，Antunes P ，Ferreira LN ... -  《-》

Australian population norms for health-related quality of life measured using the EQ-5D-5L, and relationships with sociodemographic characteristics.

Redwood L ，Currow D ，Kochovska S ，Thomas SJ ... -  《-》

A hybrid modelling approach for eliciting health state preferences: the Portuguese EQ-5D-5L value set.

Ferreira PL ，Antunes P ，Ferreira LN ，Pereira LN ，Ramos-Goñi JM ... -  《-》

New Zealand Population Norms for the EQ-5D-5L Constructed From the Personal Value Sets of Participants in a National Survey.

To derive New Zealand (NZ) population norms for the EQ-5D-5L and to examine the association between participants' sociodemographic characteristics and their health-related quality of life. Data from the 2018 NZ EQ-5D-5L valuation study (n = 2468) were used. Each participant's 5-digit profile was converted to a single utility value using their personal value set. The profiles, mean utility values, and mean EuroQol visual analog scale (EQ-VAS) scores were summarized by dimension and disaggregated by age group and gender. Multivariable logistic and Tobit regressions were used to investigate the association between participants' sociodemographic characteristics and the EQ-5D-5L dimensions, utility values, and EQ-VAS scores. The mean utility value was 0.847 and the mean EQ-VAS score was 74.8. Of the 3125 possible EQ-5D-5L profiles, 25 profiles represented the current health status of the majority of participants (78%). The odds of having problems with anxiety or depression was greatest for people aged 18 to 24 years and decreased with age. People with a long-term disability or chronic illness had greater odds of problems on all dimensions and lower (poorer) utility values and EQ-VAS scores. Age, ethnicity, employment status, long-term disability, and chronic illness were associated with utility. EQ-5D-5L population norms were derived for the NZ population using the personal value sets of 2468 participants. Consistent with other countries' population norms, EQ-5D-5L utility values and EQ-VAS scores were associated with age, employment status, long-term disability, and chronic illness. These norms will support resource allocation decision making and help in understanding the health-related quality of life of the NZ population.

Sullivan T ，Turner RM ，Derrett S ，Hansen P ... -  《-》

Health-related quality of life among Indian population: The EQ-5D population norms for India.

The EuroQol 5 dimensions (EQ-5D) is the most used generic health-related quality of life (HRQoL) instrument for measuring population health and health outcomes. Since there are no EuroQol 5 dimensions 5 levels (EQ-5D-5L) population norms available for India, this study developed the Indian population norms for the EQ-5D-5L. The potential influencing factors of HRQoL of the Indian population have been identified. The data was collected alongside the Indian EQ-5D-5L valuation study (Development of an EQ-5D Value Set for India Using an Extended Design: DEVINE Study). A cross-sectional survey of 3548 adult respondents was conducted across five states of India, in which respondents were asked to report their own health states using the EQ-5D-5L descriptive system and the EuroQol Visual Analog Scale (EQ VAS). The utility score was calculated using the EQ-5D-5L value set based on the preferences of the Indian population. Norm scores were generated for age, sex, and other important socio-demographic variables. The proportion of patients reporting problems in different dimensions of EQ-5D-5L was assessed. The impact of socio-economic determinants on health-related quality of life was evaluated using multiple linear regression. The mean EQ VAS score of the Indian population is 75.18 (95% confidence interval (CI) = 74.50-75.90), whereas mean utility score is 0.848 (95% CI = 0.840-0.857). The EQ VAS scores, and utility scores decreased with age. Males reported higher EQ VAS values than females. The highest mean utility score was observed for males of <20 years (0.936), whereas the lowest mean score was observed for females of >70 years (0.488). The mean VAS score ranged between 85.24 for females of <20 years and 50.67 for females of >70 years. Highest problems were reported in the dimension of "pain / discomfort", closely followed by "anxiety / depression". Age, educational qualification, marital status, substance abuse, presence of ailments, state / region of residence, number of dependent members in the household, and time spent on mobile are the significant determinants of HRQoL of Indian population. These population norms will be used as reference values for comparative purposes in future Indian studies. Economic evaluations can use these average age-specific HRQoL population norms to value the health-state of not having the specific disease under investigation.

Jyani G ，Prinja S ，Garg B ，Kaur M ，Grover S ，Sharma A ，Goyal A ... -  《-》