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Objectives: The EQ Health and Wellbeing Short (EQ-HWB-S) is a new broad generic measure of health and wellbeing for use in economic evaluations of interventions across healthcare, social care, and public health. This measure conceptually overlaps with the 5-level version EQ-5D (EQ-5D-5L), while expanding on the coverage of health and social care related dimensions. This study aims to examine the extent to which the EQ-HWB-S and EQ-5D-5L overlap and are different.Methods: A sample of US-based respondents (n = 903; n = 400 cancer survivors and n = 503 general population) completed a survey administered via an online panel. The survey included the EQ-HWB item pool (62 items, including 11 items used in this analysis), EQ-5D-5L, and questions about sociodemographic and health characteristics. The analysis included (Spearman's) correlations, the comparison of patterns of response (distributions and ceiling effects), and the ability to discriminate between known groups.Results: Moderate to strong associations were found between conceptually overlapping dimensions of the EQ-5D-5L and the EQ-HWB-S (rs > 0.5, P < .001). Among respondents reporting full health on the EQ-5D-5L (n = 161, 18.23%), the EQ-HWB-S identified ceiling effects, particularly with the item "feeling exhausted." Most EQ-5D-5L and EQ-HWB-S items demonstrated discriminative ability among those with and without physical and mental conditions, yielding medium (> 0.5) to large effect sizes (> 0.8). Nevertheless, only EQ-HWB-S items distinguished between caregivers and noncaregivers and those with low and high caregiver burden, albeit with small effect sizes (0.2-0.5).Conclusions: Results indicate a convergence between the measures, especially between overlapping dimensions, lending support to the validity of the EQ-HWB-S. The EQ-HWB-S performed similarly or better than the EQ-5D-5L among patient groups and is better able to differentiate among caregivers and respondents closer to full health. [ABSTRACT FROM AUTHOR]

Objectives: Existing measures for estimating quality-adjusted life-years are mostly limited to health-related quality of life. This article presents an overview of the development the EQ-HWB (EQ Health and Wellbeing), which is a measure that encompasses health and wellbeing.Methods: Stages: (1) Establishing domains through reviews of the qualitative literature informed by a conceptual framework. (2) Generation and selection of items to cover the domains. (3) Face validation of these items through qualitative interviews with 168 patients, social care users, general population, and carers across 6 countries (Argentina, Australia, China, Germany, United Kingdom, United States). (4) Extensive psychometric testing of candidate items (using classical, factor analysis, and item response theory methods) on > 4000 respondents in the 6 countries. Stakeholders were consulted throughout.Results: A total of 32 subdomains grouped into 7 high-level domains were identified from the qualitative literature and 97 items generated to cover them. Face validation eliminated 36 items, modified 14, and added 3. Psychometric testing of 64 items found little difference in missing data or problems with response distribution, the conceptual model was confirmed except in China, and most items performed well in the item response theory in all countries. Evidence was presented to stakeholders in 2 rounds of consultation to inform the final selection of items for the EQ-HWB (25-item) and the short version of EQ-HWB (9-items).Conclusions: EQ-HWB measures have been developed internationally for evaluating interventions in health, public health, and social care including the impact on patients, social care users, and carers. [ABSTRACT FROM AUTHOR]

Objectives: The development of measures such as the EQ-HWB (EQ Health and Wellbeing) requires selection of items. This study explored the psychometric performance of candidate items, testing their validity in patients, social carer users, and carers.Methods: Article and online surveys that included candidate items (N = 64) were conducted in Argentina, Australia, China, Germany, United Kingdom, and the United States. Psychometric assessment on missing data, response distributions, and known group differences was undertaken. Dimensionality was explored using exploratory and confirmatory factor analysis. Poorly fitting items were identified using information functions, and the function of each response category was assessed using category characteristic curves from item response theory (IRT) models. Differential item functioning was tested across key subgroups.Results: There were 4879 respondents (Argentina = 508, Australia = 514, China = 497, Germany = 502, United Kingdom = 1955, United States = 903). Where missing data were allowed, it was low (UK article survey 2.3%; US survey 0.6%). Most items had responses distributed across all levels. Most items could discriminate between groups with known health conditions with moderate to large effect sizes. Items were less able to discriminate across carers. Factor analysis found positive and negative measurement factors alongside the constructs of interest. For most of the countries apart from China, the confirmatory factor analysis model had good fit with some minor modifications. IRT indicated that most items had well-functioning response categories but there was some evidence of differential item functioning in many items.Conclusions: Items performed well in classical psychometric testing and IRT. This large 6-country collaboration provided evidence to inform item selection for the EQ-HWB measure. [ABSTRACT FROM AUTHOR]