Comparison of EQ-5D Values Sets Among South American Countries

Beyond 10-year lead-times in EQ-5D-5L: leveraging alternative lead-times in willingness-to-accept questions to capture preferences for worse-than-dead states and their implication

BACKGROUND

A fixed 10-year lead-time in composite time-trade-off (C-TTO) tasks might compromise the precision of utility values below - 1. This study explored how alternative lead-times (ALTs) influence EQ-5D-5L value sets and their implications in economic evaluations.

METHODS

Leveraging data from Taiwan's EQ-5D-5L valuation and capitalizing on its exploratory willingness-to-accept question, we explored participants' quantification of "worse-than-dead (WTD)" health states with ALTs up to 50 years. We then derived alternative value sets incorporating these ALTs through interval regression and compared them against those from conventional models. To evaluate their impact on health change valuation, we simulated utility differences for all possible EQ-5D-5L health-state-pairs using each value set.

RESULTS

With a salient floor effect observed in the C-TTO values, the model with ALT led to a wider range of predicted utilities ( - 2.3897 ~ 1), compared with those of conventional models (generalized least squares (GLS):  - 0.7773 ~ 1; Tobit-GLS:  - 0.9583 ~ 1). Compared to the Tobit-GLS model, the model with ALT increased the numerical distance in 80% of health-state-pairs, with 11% decreasing and 9% altering direction (e.g., positive to negative) in utility differences.

CONCLUSIONS

While ALTs offer insights into patient preferences, their integration into economic evaluations might require rescaling. Future research should prioritize advanced rescaling methods or enhanced elicitation strategies for populations with substantial censoring. This is pivotal for improving the elicitation of extreme WTD states and accurately discerning the relative distances between health states. Countries developing EQ-5D-5L value sets should consider pilot studies and incorporating region-specific questions on social determinants, especially where pronounced floor effects are suspected.

Estimation of Societal Values of Health States Preferences at the National Level for Low- and Middle-Income Countries

OBJECTIVES

Social preference values of health states are a fundamental input for the preparation of studies in health economics. Several countries have undertaken studies to obtain these values. Our objective was to conduct a structured and systematic literature review of articles that calculates this set of representative values at the national level in low- and middle-income countries (LMICs).

METHODS

In this systematic review, we searched the Embase, MEDLINE, Ovid, SciELO, and LILACS databases, among others, for studies published up to June 2022 that estimated nationally representative health states preferences values for LMICs. We summarized the information qualitatively and assessed the risk of bias in each article using the consensus-based standards for selecting health measurement instruments checklist tool.

RESULTS

Of the 23 663 articles identified, 35 studies were eligible for inclusion. The studies were from 19 countries in Latin-American, Europe, Africa, and Asia. No studies were found for low-income countries. The most commonly applied generic instrument for measuring health-related quality of life was the 5-level version of EQ-5D and 3-level version of EQ-5D. Preference was given to face-to-face administration of these instruments. The sociodemographic variables with the most significant negative correlation versus utility were older adults, marital status (widowed or divorced), and low educational level and income.

CONCLUSIONS

Worldwide, there have been few studies that have estimated, in a nationally representative manner, the social values of health states preferences in LMICs. We consider the local estimate of this set of societal values relevant for any society to improve decision making in allocating resources in health budgets.

Urban/rural differences in preferences for EQ-5D-5L health states: a study of a multi-ethnic region in China

OBJECTIVES

This study aimed to compare health preferences for EQ-5D-5L health states between urban and rural populations in China.

METHODS

This study used pooled secondary data from two EQ-5D-5L valuation studies. Participants were recruited from Guizhou province and Chongqing municipality, China using quota sampling. Each participant was interviewed face-to-face to value a set of 15 or 16 out of 30 EQ-5D-5L health states using time trade-off (TTO) methods including composite TTO and other two variants. Regression analysis was used to compare health state preferences between urban and rural participants.

RESULTS

A total of 597 participants (urban: 55.44%; rural: 44.56%) completed the valuation interviews. Both univariate and multivariable linear regression analyses showed that rural participants tended to value health states lower than urban participants regardless of severity of health states. The unadjusted and adjusted overall mean differences between the two groups were - 0.041 (95% confidence interval [CI] - 0.077, - 0.004, p-value = 0.031) and - 0.040 (95% CI - 0.078, - 0.002, p-value = 0.038), respectively. Predictions for the 3125 health states based on rural participants' health preferences were lower than those based on urban participants' health preferences.

CONCLUSION

There were small, yet statistically significant, differences in EQ-5D-5L health states preferences between urban and rural populations in China. Future study aiming at establishing a national value set should pay more attention to the sample representativeness.

The Development of a New International Generic Measure (EQ-HWB): Face Validity and Psychometric Stages in Argentina

OBJECTIVES

This study aimed to present the face validity and psychometric stages performed in Spanish in Argentina, the only Spanish-speaking country of an international collaboration that undertook the construction of a new measure that can be used in economic evaluation across health, social care, and public health, the EQ EQ-HWB (EQ Health and Wellbeing). We also explored the relationship among 3-level version EQ-5D (EQ-5D-3L), 5-level version EQ-5D (EQ-5D-5L), and EQ-HWB.

METHODS

Face validity was based on semistructured face to face interviews of a purposive sample to explore translatability of language and concepts of 97 candidate items, translated into Argentina Spanish. The psychometric evaluation using an online panel assessed the psychometric properties of 64 items that were carried forward (floor and ceiling effects, item correlations, known-group differences in relevant prespecified subgroups by the international and local teams, exploratory and confirmatory factor analysis, and item response theory). EQ-5D-3L, EQ-5D-5L, and EQ-HWB correlations were explored.

RESULTS

In the face validity stage, 24 interviews with carers, general public, patients, and users of social services were included. Most items showed adequate face validity. In the psychometric assessment, 497 participants were recruited (64% reporting a long-term health condition). Most of the items showed adequate psychometrics in an Argentinian context. EQ-5D-3L and EQ-5D-5L had strong correlations, and EQ-HWB was moderately correlated to EQ visual analog scale. The Argentina team recommended 23 of the final 25 items.

CONCLUSIONS

The assessment of Spanish items contributed to the overall development of EQ-HWB and helped inform the design of an internationally relevant 25-item and a short 9-item measure intended to be used in economic evaluations.