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BACKGROUND AND OBJECTIVES: This paper describes the development of an item pool for a needs-based self-report outcome measure of the impact of caring for a relative, friend or neighbour with dementia on carer quality of life. The aims are to give a detailed account of the steps involved and describe the resulting item pool. METHODS: Seven steps were followed: generation of an initial item set drawing on 42 needs-led interviews with carers; a content and face validity check; assessment of psychometric potential; testing of response formats; pre-testing through cognitive interviews with 22 carers; administration rehearsal with two carers; and final review. RESULTS: An initial set of 99 items was refined to a pool of 70 to be answered using a binary response format. Items were excluded due to overlap with others, ceiling effects, ambiguity, dependency on function of the person with dementia or two-part phrasing. Items retained covered a breadth of areas of impact of caring and were understandable and acceptable to respondents. CONCLUSIONS: The resulting dementia carer-specific item pool reflects the accounts of a diverse sample of those who provide care for a person with dementia, allowing them to define the nature of the impact on their lives and resulting in a valid, acceptable set of items.

Purpose The benefits of health and social care are not confined to patient health alone and therefore broader measures of wellbeing may be useful for economic evaluation. This paper reports the development of a simple measure of capability wellbeing for adults (ICECAP-A). Methods In-depth, informant-led, interviews to identify the attributes of capability wellbeing were conducted with 36 adults in the UK. Eighteen semi-structured, repeat interviews were carried out to develop a capability-based descriptive system for the measure. Informants were purposively selected to ensure variation in socio-economic status, age, sex, ethnicity and health. Data analysis was carried out inductively and iteratively alongside interviews, and findings were used to shape the questions in later interviews. Results Five over-arching attributes of capability wellbeing were identified for the measure: "stability", "attachment", "achievement", "autonomy" and "enjoyment". One item, with four response categories, was developed for each attribute for the ICECAP-A descriptive system. Conclusions The ICECAP-A capability measure represents a departure from traditional health economics outcome measures, by treating health status as an influence over broader attributes of capability wellbeing. Further work is required to value and validate the attributes and test the sensitivity of the ICECAP-A to healthcare interventions. © Springer Science+Business Media B.V. 2011.

This paper deals with three concerns about the evaluative framework that is currently dominant within health economics. These concerns are: that the evaluative framework is concerned entirely with health; that the evaluative framework has an individualistic focus on patients alone; and that the methods used to estimate 'health' within the current evaluative framework could be improved both in terms of the generation of descriptive systems and in using valuation methods that rely less on people's ability to express their preferences on a cardinal scale. In exploring these issues the Investigating Choice Experiments for Preferences of Older People (ICEPOP) programme has explicitly focused on both the topic of older people and the methods of discrete choice experiments. A capability index has been developed and attributes for an economic measure of end-of-life care are currently being generated, providing the possibility of extending the evaluative framework beyond health alone. A measure of carer's experience and a framework for extending measurement in end-of-life care to loved ones are both also in development, thus extending the evaluative framework beyond the patient alone. Rigorous qualitative methods employing an iterative approach have been developed for use in constructing attributes, and best-worst scaling has been utilized to reduce task complexity and provide insights into heterogeneity. There are a number of avenues for further research in all these areas, but in particular there is need for greater attention to be paid to the theory underlying the evaluative framework within health economics. © The Royal Society of Medicine Press Ltd 2008.

© 2014, Springer International Publishing Switzerland. Purpose: Providing care to patients nearing the end of life can place a considerable burden on caregivers. Hence, policy decisions on interventions in palliative care should be guided by information on this burden. This study investigates construct validation of two preference-based caregiver outcome instruments suitable for economic evaluations: the Carer Experience Scale (CES) and the Care-related Quality of Life (CarerQol) instrument. Moreover, this study reports caregiver experiences in end-of-life care.Methods: Data were collected with written questionnaires among caregivers of patients receiving palliative care services in the Southern metropolitan area of Adelaide, South Australia (n = 97). The effect of caregiving on caregivers was measured with the CES, CarerQol, Process Utility (PU) and Caregiver Strain Index (CSI). Convergent, discriminative and clinical validity were studied.Results: As hypothesized, higher negative effect of caregiving measured on the CES was associated with higher negative effect on the CarerQol. Both the CES and CarerQol were associated in the expected positive direction with less strain from caregiving (CSI), more positive care experiences and more PU from caring. Caregivers’ and care recipients’ health status and duration of caregiving were negatively associated with caring experiences.Conclusions: Our findings suggest that the CES and CarerQol validly assess the effect of caregiving on caregivers in end-of-life care. Economic evaluations in end-of-life care should attempt to incorporate such instruments to provide a more holistic assessment of the true impact of interventions, especially where family and friends are heavily involved in caregiving.

This paper reports the results of a best–worst scaling (BWS) study to value the Investigating Choice Experiments Capability Measure for Adults (ICECAP-A), a new capability measure among adults, in a UK setting. A main effects plan plus its foldover was used to estimate weights for each of the four levels of all five attributes. The BWS study was administered to 413 randomly sampled individuals, together with sociodemographic and other questions. Scale-adjusted latent class analyses identified two preference and two (variance) scale classes. Ability to characterize preference and scale heterogeneity was limited, but data quality was good, and the final model exhibited a high pseudo-r-squared. After adjusting for heterogeneity, a population tariff was estimated. This showed that ‘attachment’ and ‘stability’ each account for around 22% of the space, and ‘autonomy’, ‘achievement’ and ‘enjoyment’ account for around 18% each. Across all attributes, greater value was placed on the difference between the lowest levels of capability than between the highest. This tariff will enable ICECAP-A to be used in economic evaluation both within the field of health and across public policy generally. Refereed/Peer-reviewed

\ud Purpose To investigate the construct validity of the\ud ICECAP-A capability wellbeing measure.\ud Methods A face-to-face interview-administered survey\ud was conducted with 418 members of the UK general\ud population, randomly sampled from the Postcode Address\ud File. Pre-specified hypotheses were developed about the\ud expected associations between individuals’ ICECAP-A\ud responses and their socio-economic circumstances, health\ud and freedom. The hypotheses were investigated using statistical\ud tests of association.\ud Results The ICECAP-A responses and scores reflected\ud differences across different health and socioeconomic\ud groups as anticipated, but did not distinguish individuals by\ud the level of local deprivation. Mean ICECAP-A scores\ud reflected individuals’ perceived freedom slightly more\ud closely than did measures of health and happiness.\ud Conclusion This study suggests that the ICECAP-A\ud measure can identify expected differences in capability\ud wellbeing in a general population sample. Further work\ud could establish whether self-reported capabilities exhibit\ud desirable validity and acceptability in sub-groups of the\ud population such as patients, social care recipients and\ud informal carers.

When going 'beyond the patient', to measure QALYs for unpaid carers, a number of additional methodological considerations and value judgements must be made. While there is no theoretical reason to restrict the measurement of QALYs to patients, decisions have to be made about which carers to consider, what instruments to use and how to aggregate and present QALYs for carers and patients. Current, albeit limited, practice in measuring QALY gains to carers in economic evaluation varies, suggesting that there may be inconsistency in judgements about whether interventions are deemed cost effective.While conventional health-related quality-of-life tools can, in theory, be used to estimate QALYs, there are both theoretical and empirical concerns over the suitability of their use with carers. Measures that take a broader view of health or well-being may be more appropriate. Incorporating QALYs of carers in economic evaluations may have important distributional consequences and, therefore, greater normative discussion over the appropriateness of incorporating these impacts is required. In the longer term, more flexible forms of cost-per-QALY analysis may be required to take account of the broader impacts on carers and the weight these impacts should receive in decision making. © 2011 Adis Data Information BV. All rights reserved.

Background. There is growing interest in incorporating the effects of interventions on unpaid carers in economic evaluation. Current methods focus on using health measures (which neglect important aspects of care-related quality of life) or using carer-specific sum score measures (which are not preference based). Objective. To estimate preference-based index values for a profile measure of the caring experience (the Carer Experience Scale). Methods. Eighteen profiles from the Carer Experience Scale were included in a best-worst scaling experiment. In each profile, respondents were asked to pick the best and worst attribute level from the profiles. The choice task was completed in a postal questionnaire by 162 unpaid carers of older people from 5 geographical locations in the United Kingdom. Logistic regression was used to estimate utility weights for the attribute levels of the Carer Experience Scale. Alternative modeling assumptions were employed to determine the stability of the parameter estimates. These parameter estimates were rescaled so that the profile index values for the Carer Experience Scale lay on a 0-to-100 scale. Results. The results indicate that low levels of "activities" and "getting on" result in larger decrements to utility than other attributes of the caring experience. In general, greater value is placed on differences between the bottom and middle levels of attributes than between the middle and top levels. Alternative modeling approaches had a negligible effect on the index values. Conclusion. The index values reported in this study offer a new preference-based approach to incorporating the effects on carers in economic evaluation, focusing on care (rather than health)-related quality of life. Copyright © 2011 by Society for Medical Decision Making.

Government policies to shift care into the community and demographic changes mean that unpaid (informal) carers will increasingly be relied on to deliver care, particularly to older people. As a result, careful consideration needs to be given to informal care in economic evaluations. Current methods for economic evaluations may neglect important aspects of informal care. This paper reports the development of a simple measure of the caring experience for use in economic evaluations. A meta-ethnography was used to reduce qualitative research to six conceptual attributes of caring. Sixteen semi-structured interviews were then conducted with carers of older people, to check the attributes and develop them into the measure. Six attributes of the caring experience comprise the final measure: getting on, organisational assistance, social support, activities, control, and fulfilment. The final measure (the Carer Experience Scale) focuses on the process of providing care, rather than health outcomes from caring. Arguably this provides a more direct assessment of carers' welfare. Following work to test and scale the measure, it may offer a promising way of incorporating the impact on carers in economic evaluations. © 2008 Elsevier Ltd. All rights reserved.