Key research suggests that empathy is a multidimensional construct comprising of both cognitive and affective components. More recent theories and research suggest even further factors within these components of empathy, including the ability to empathize with others versus the drive towards empathizing with others. While numerous self-report measures have been developed to examine empathy, none of them currently index all of these wider components together. The aim of the present research was to develop and validate the Empathy Components Questionnaire (ECQ) to measure cognitive and affective components, as well as ability and drive components within each. Study one utilized items measuring cognitive and affective empathy taken from various established questionnaires to create an initial version of the ECQ. Principal component analysis (PCA) was used to examine the underlying components of empathy within the ECQ in a sample of 101 typical adults. Results revealed a five-component model consisting of cognitive ability, cognitive drive, affective ability, affective drive, and a fifth factor assessing affective reactivity. This five-component structure was then validated and confirmed using confirmatory factor analysis (CFA) in an independent sample of 211 typical adults. Results also showed that females scored higher than males overall on the ECQ, and on specific components, which is consistent with previous findings of a female advantage on self-reported empathy. Findings also showed certain components predicted scores on an independent measure of social behavior, which provided good convergent validity of the ECQ. Together, these findings validate the newly developed ECQ as a multidimensional measure of empathy more in-line with current theories of empathy. The ECQ provides a useful new tool for quick and easy measurement of empathy and its components for research with both healthy and clinical populations.

ObjectiveThe aim of this study was to validate a new generic patient-reported outcome measure, the Long-Term Conditions Questionnaire (LTCQ), among a diverse sample of health and social care users in England.DesignCross-sectional validation survey. Data were collected through postal surveys (February 2016–January 2017). The sample included a healthcare cohort of patients recruited through primary care practices, and a social care cohort recruited through local government bodies that provide social care services.Participants1211 participants (24% confirmed social care recipients) took part in the study. Healthcare participants were recruited on the basis of having one of 11 specified long-term conditions (LTCs), and social care participants were recruited on the basis of receiving social care support for at least one LTC. The sample exhibited high multimorbidity, with 93% reporting two or more LTCs and 43% reporting a mental health condition.Outcome measuresThe LTCQ’s construct validity was tested with reference to the EQ-5D (5-level version), the Self-Efficacy for Managing Chronic Disease scale, an Activities of Daily Living scale and the Bayliss burden of morbidity scale.ResultsLow levels of missing data for each item indicate acceptability of the LTCQ across the sample. The LTCQ exhibits high internal consistency (Cronbach’s α=0.95) across the scale’s 20 items and excellent test–retest reliability (intraclass correlation coefficient=0.94, 95% CI 0.93 to 0.95). Associations between the LTCQ and all reference measures were moderate to strong and in the expected directions, indicating convergent construct validity.ConclusionsThis study provides evidence for the reliability and validity of the LTCQ, which has potential for use in both health and social care settings. The LTCQ could meet a need for holistic outcome measurement that goes beyond symptoms and physical function, complementing existing measures to capture fully what it means to live well with LTCs.

Background: There is increasing interest in assessing the effects of interventions on older people, people with long-term conditions and their informal carers for use in economic evaluation. The Adult Social Care Outcomes Toolkit for Carers (ASCOT-Carer) is a measure that specifically assesses the impact of social care services on informal carers. To date, the ASCOT-Carer has not been preference-weighted.Objectives: To estimate preference-based index values for the English version of the ASCOT-Carer from the general population in England. Methods:The ASCOT-Carer consists of 7 domains, each reflecting aspects of social care-related quality of life in informal carers. Preferences for the ASCOT-Carer social care-related quality of life states were estimated using a best-worst scaling exercise in an online survey. The survey was administered to a sample of the general adult population in England (n = 1000). Participants were asked to put themselves into the hypothetical state of being an informal carer and indicate which attribute they thought was the best (first and second) and worst (first and second) from a profile list of 7 attributes reflecting the 7 domains, each ranging at a different level (1-4). Multinomial logit regression was used to analyze the data and estimate preference weights for the ASCOT-Carer measure. Results:The most valued aspect by English participants was the 'occupation' attribute at its highest level. Results further showed participants rated having no control over their daily life as the lowest attribute-level of all those presented. The position of the 7 attributes influenced participants' best and worst choices, and there was evidence of both scale and taste heterogeneity on preferences. Conclusion:This study has established a set of preference-based index values for the ASCOT-Carer in England derived from the best-worst scaling exercise that can be used for economic evaluation of interventions on older individuals and their informal carers.

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Purpose In developed countries, progressive rapid aging is increasing the need for social care. This study aimed to determine Japanese utility weights for the Adult Social Care Outcomes Toolkit (ASCOT) four-level self-completion questionnaire (SCT4). Methods We recruited 1050 Japanese respondents from the general population, stratified by sex and age, from five major cities. In the best-worst scaling (BWS) phase, respondents ranked various social care-related quality of life (SCRQoL) states as "best," "worst," "second-best," or "second-worst," as per the ASCOT. Then, respondents were asked to evaluate eight different SCRQOL states by composite time-trade off (cTTO). A mixed logit model was used to analyze BWS data. The association between cTTO and latent BWS scores was used to estimate a scoring formula that would convert BWS scores to SC-QALY (social care quality-adjusted life year) scores. Results Japanese BWS weightings for ASCOT-SCT4 were successfully estimated and found generally consistent with the UK utility weights. However, coefficients on level 3 of "Control over daily life" and "Occupation" domains differed markedly between Japan and the UK. The worst Japanese SCRQoL state was lower than that for the UK, as Japanese cTTO results showed more negative valuations. In general, Japanese SC-QALY score (for more than 90% of health states) was lower than that for the UK. Conclusions We successfully obtained Japanese utility weights for ASCOT SCT4. This will contribute to the measurement and understanding of social care outcomes. Keywords ASCOT • Preference • Best-worst scaling (BWS) • Time trade-off (TTO) • Quality of life • Social care • Social care-related quality of life (SCRQoL)