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The EQ Health and Well-being, EQ-HWB (25-item) and the EQ-HWB-S (9-item), are new generic measures of health and well-being. The purpose of this study was to examine the measurement properties of the EQ-HWB and EQ-HWB-S measures in relation to the EQ-5D-5L among the Italian general population. A cross-sectional survey was conducted from October 2020 to February 2021, followed by secondary analysis of collected data from Italian adults. This analysis included response pattern distributions, correlation strength, and known-group comparison. Known-group comparison was assessed using effect sizes (ES) across health conditions, caregiver status, and social care usage. The EQ-HWB-S index-based score was based on the UK pilot value set, whereas the Italian value set was used for scoring the EQ-5D-5L index. Out of the 1182 participants, 461 reported having a chronic condition, 185 identified as caregivers, and 42 were social care users. EQ-HWB items (7.5%) showed fewer ceiling effects than EQ-5D-5L items (34.7%). Strong correlations (r s > 0.5) were found between overlapping EQ-HWB and EQ-5D-5L items. EQ-HWB-S and EQ-5D-5L index scores demonstrated similar discrimination based on symptomatic chronic conditions (ES d = 0.68 vs d = 0.71), but EQ-HWB-S had slightly higher ES for social care users (ES d = 0.84 vs d = 0.74). Initial evidence supports the validity of EQ-HWB/EQ-HWB-S because outcome measures in the Italian population. EQ-HWB-S performed comparably to EQ-5D-5L among patients and was better in differentiating social care users. A slight decrease in discriminative properties for caregivers was observed when transitioning from EQ-HWB to EQ-HWB-S. • The EQ Health and Well-being, EQ-HWB (25-item) and EQ-HWB-S (9-item) were developed to meet the need for a single instrument applicable across different beneficiaries of health and social care services. The EQ-HWB is intended for use in clinical practice and population health surveys, whereas the EQ-HWB-S is designed for use in economic evaluations across health, social care, and public health. • This study aimed to assess the psychometric performance of the EQ-HWB/EQ-HWB-S in the general Italian population, including patients, caregivers, and social care users. It evaluated ceiling/floor effects, convergent validity, and discriminative ability against EQ-5D-5L. • Results support the validity of EQ-HWB/EQ-HWB-S as outcome measures in the Italian population. EQ-HWB-S performed comparably to EQ-5D-5L among patients and was better in differentiating social care users. There was a slight decrease in discriminative properties for caregivers was observed when transitioning from EQ-HWB to EQ-HWB-S. This study contributes to the growing body of literature on the EQ-HWB/EQ-HWB-S, highlighting its potential as a prominent measure in health and social care. [ABSTRACT FROM AUTHOR]

Several measures have been used or developed to capture the health and well-being of caregivers, including the EQ Health and Well-being (EQ-HWB) and its short form, EQ-HWB-S. This study aimed to evaluate the psychometric properties and construct validity of the EQ-HWB/EQ-HWB-S in a US caregiver population. A cross-sectional survey was conducted involving 504 caregivers. Eligible participants were 18+ years old, provided unpaid care to a relative/friend aged 18+ in the past 6 months, and spent on average of at least 1 hour per week caregiving. Survey included the following measures: EQ-HWB, Adult Social Care Outcomes Toolkit for Carers-Carer, CarerQol, and EQ-5D-5L. Psychometric properties were assessed using response distributions, floor/ceiling effects, Spearman's correlation for convergent validity, and effect sizes (ES) for known-group validity based on caregiving situations and intensity. The average age of caregivers was 49.2 (SD = 15.4), with 57.5% being female. More than half (54.4%) reported high caregiving intensity, and 68.3% lived with the care recipient. The EQ-HWB-S index showed a strong positive correlation with the EQ-5D-5L (r s = 0.72), Adult Social Care Outcomes Toolkit for Carers (r s = 0.54), and CarerQol (r s = 0.54) indices. Notably, the EQ-HWB-S index showed the largest ES among measures in differentiating caregiving scenarios with a large ES for caregiver's general health (d = 1.00) and small ES for caregiving intensity (d = 0.39). Results support construct validity of EQ-HWB and EQ-HWB-S as measures for assessing health and well-being of adult informal caregivers in comparison with other validated instruments. Differing levels of known-group validity across anchors emphasize the importance of selecting appropriate measures for caregivers, depending on research question and/or intervention aims. • Various preference-based measures, including Adult Social Care Outcomes Toolkit for Carers-Carer, CarerQol-7D, and EQ-5D-5L, can be used to assess the health and quality of life of informal caregivers. The EQ Health and Well-being (EQ-HWB) was developed as a broader measure of health and well-being, including for caregivers. However, its psychometric properties have yet to be examined in relation to other validated measures, specifically in caregivers. • This study evaluated the psychometric properties of EQ-HWB and its short form, EQ-HWB-S, in a heterogeneous US caregiver population, demonstrating construct validity with other preference-based measures. Notably, care recipients' self-perceived burden to caregivers proved to be a valid anchor-based criterion for distinguishing groups based on the influence of caregiving on their health and well-being. • The findings highlight the importance of selecting appropriate measures for assessing health and well-being of informal caregivers. This choice should depend on the specific aims of the intervention being evaluated and perspective of economic evaluation. Using the appropriate measures can lead to more accurate assessments of the effectiveness and cost-effectiveness of interventions with impacts on broader quality of life and well-being, which is essential for informed decision making in healthcare policy. [ABSTRACT FROM AUTHOR]

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]