| 1. |
- Al-Janabi, Hareth, et al.
(author)
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Development of a self-report measure of capability wellbeing for adults : the ICECAP-A.
- 2012
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In: Quality of Life Research. - : Springer Science and Business Media LLC. - 0962-9343 .- 1573-2649. ; 21:1, s. 167-76
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Journal article (peer-reviewed)abstract
- 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.
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| 2. |
- Al-Janabi, Hareth, et al.
(author)
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What do people value when they provide unpaid care for an older person? A meta-ethnography with interview follow-up.
- 2008
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In: Social Science and Medicine. - : Elsevier BV. - 0277-9536 .- 1873-5347. ; 67:1, s. 111-21
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Journal article (peer-reviewed)abstract
- 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.
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| 3. |
- Coast, Joanna, et al.
(author)
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An assessment of the construct validity of the descriptive system for the ICECAP capability measure for older people.
- 2008
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In: Quality of Life Research. - : Springer Science and Business Media LLC. - 0962-9343 .- 1573-2649. ; 17:7, s. 967-76
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Journal article (peer-reviewed)abstract
- BACKGROUND: The index of capability (ICECAP) was developed using in-depth interviews with 40 older people and comprises five attributes: attachment, security, enjoyment, role and control. This paper explores the construct validity of these five capability attributes.METHODS: An interview survey was conducted with individuals aged 65 and over located across the UK. Data were analysed in six categories (socio-demographic variables and general well-being, contact with others, health, nature of the locality and environment, social support and participation) using chi-squared tests (for categorical variables) or one-way analysis of variance (for continuous variables).RESULTS: About 315 individuals were interviewed (response rate 66%). Relationships were generally as anticipated with, for example: strong relationships between age and capability and well-being and capability, but no relationships between capability and either sex or social class; strong relationships between physical measures of health and role, enjoyment and control, and between mental health measures and attachment and enjoyment.CONCLUSIONS: This study provides some early evidence for the construct validity of the ICECAP measure. Where anticipated relationships were not observed this might in part be explained in that the ICECAP index asks about capability, but the factors with which associations were examined were largely and inevitably measures of function.
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| 4. |
- Coast, Joanna, et al.
(author)
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Valuing the ICECAP capability index for older people.
- 2008
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In: Social Science and Medicine. - : Elsevier BV. - 0277-9536 .- 1873-5347. ; 67:5, s. 874-82
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Journal article (peer-reviewed)abstract
- This paper reports the first application of the capabilities approach to the development and valuation of an instrument for use in the economic evaluation of health and social care interventions. The ICECAP index of capability for older people focuses on quality of life rather than health or other influences on quality of life, and is intended to be used in decision making across health and social care in the UK. The measure draws on previous qualitative work in which five conceptual attributes were developed: attachment, security, role, enjoyment and control. This paper details the innovative use within health economics of further iterative qualitative work in the UK among 19 informants to refine lay terminology for each of the attributes and levels of attributes used in the eventual index. For the first time within quality of life measurement for economic evaluation, a best-worst scaling exercise has been used to estimate general population values (albeit for the population of those aged 65+ years) for the levels of attributes, with values anchored at one for full capability and zero for no capability. Death was assumed to be a state in which there is no capability. The values obtained indicate that attachment is the attribute with greatest impact but all attributes contribute to the total estimation of capability. Values that were estimated are feasible for use in practical applications of the index to measure the impact of health and social care interventions.
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| 5. |
- Flynn, Terry N, et al.
(author)
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Best--worst scaling : What it can do for health care research and how to do it.
- 2007
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In: Journal of Health Economics. - : Elsevier BV. - 0167-6296 .- 1879-1646. ; 26:1, s. 171-89
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Journal article (peer-reviewed)abstract
- Statements like "quality of care is more highly valued than waiting time" can neither be supported nor refuted by comparisons of utility parameters from a traditional discrete choice experiment (DCE). Best--worst scaling can overcome this problem because it asks respondents to perform a different choice task. However, whilst the nature of the best--worst task is generally understood, there are a number of issues relating to the design and analysis of a best--worst choice experiment that require further exposition. This paper illustrates how to aggregate and analyse such data and using a quality of life pilot study demonstrates how richer insights can be drawn by the use of best--worst tasks.
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| 6. |
- Flynn, Terry N, et al.
(author)
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Estimating preferences for a dermatology consultation using Best-Worst Scaling : comparison of various methods of analysis.
- 2008
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In: BMC Medical Research Methodology. - : Springer Science and Business Media LLC. - 1471-2288. ; 8, s. 76-
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Journal article (peer-reviewed)abstract
- BACKGROUND: Additional insights into patient preferences can be gained by supplementing discrete choice experiments with best-worst choice tasks. However, there are no empirical studies illustrating the relative advantages of the various methods of analysis within a random utility framework.METHODS: Multinomial and weighted least squares regression models were estimated for a discrete choice experiment. The discrete choice experiment incorporated a best-worst study and was conducted in a UK NHS dermatology context. Waiting time, expertise of doctor, convenience of attending and perceived thoroughness of care were varied across 16 hypothetical appointments. Sample level preferences were estimated for all models and differences between patient subgroups were investigated using covariate-adjusted multinomial logistic regression.RESULTS: A high level of agreement was observed between results from the paired model (which is theoretically consistent with the 'maxdiff' choice model) and the marginal model (which is only an approximation to it). Adjusting for covariates showed that patients who felt particularly affected by their skin condition during the previous week displayed extreme preference for short/no waiting time and were less concerned about other aspects of the appointment. Higher levels of educational attainment were associated with larger differences in utility between the levels of all attributes, although the attributes per se had the same impact upon choices as those with lower levels of attainment. The study also demonstrated the high levels of agreement between summary analyses using weighted least squares and estimates from multinomial models.CONCLUSION: Robust policy-relevant information on preferences can be obtained from discrete choice experiments incorporating best-worst questions with relatively small sample sizes. The separation of the effects due to attribute impact from the position of levels on the latent utility scale is not possible using traditional discrete choice experiments. This separation is important because health policies to change the levels of attributes in health care may be very different from those aiming to change the attribute impact per se. The good approximation of summary analyses to the multinomial model is a useful finding, because weighted least squares choice totals give better insights into the choice model and promote greater familiarity with the preference data.
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| 7. |
- Flynn, Terry Nicholas, et al.
(author)
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Using discrete choice experiments to understand preferences for quality of life. Variance-scale heterogeneity matters.
- 2010
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In: Social Science and Medicine. - : Elsevier BV. - 0277-9536 .- 1873-5347. ; 70:12, s. 1957-65
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Journal article (peer-reviewed)abstract
- Health services researchers are increasingly using discrete choice experiments (DCEs) to model a latent variable, be it health, health-related quality of life or utility. Unfortunately it is not widely recognised that failure to model variance heterogeneity correctly leads to bias in the point estimates. This paper compares variance heterogeneity latent class models with traditional multinomial logistic (MNL) regression models. Using the ICECAP-O quality of life instrument which was designed to provide a set of preference-based general quality of life tariffs for the UK population aged 65+, it demonstrates that there is both mean and variance heterogeneity in preferences for quality of life, which covariate-adjusted MNL is incapable of separating. Two policy-relevant mean groups were found: one group that particularly disliked impairments to independence was dominated by females living alone (typically widows). Males who live alone (often widowers) did not display a preference for independence, but instead showed a strong aversion to social isolation, as did older people (of either sex) who lived with a spouse. Approximately 6-10% of respondents can be classified into a third group that often misunderstood the task. Having a qualification of any type and higher quality of life was associated with smaller random component variances. This illustrates how better understanding of random utility theory enables richer inferences to be drawn from discrete choice experiments. The methods have relevance for all health studies using discrete choice tasks to make inferences about a latent scale, particular QALY valuation exercises that use DCEs, best-worst scaling and ranking tasks.
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| 8. |
- Grewal, Ini, et al.
(author)
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Developing attributes for a generic quality of life measure for older people : preferences or capabilities?
- 2006
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In: Social Science and Medicine. - : Elsevier BV. - 0277-9536 .- 1873-5347. ; 62:8, s. 1891-901
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Journal article (peer-reviewed)abstract
- Current UK policy with respect to the provision of health and social care for older people suggests that greater integration is required. Economists' attempts to assist resource allocation decisions, however, are very health focused, with concentration on the use of health-related quality of life measures. This paper reports an attempt to determine attributes for a new index clearly focusing on quality of life for older people rather than health or other influences on quality of life. In-depth interviews were conducted with 40 purposively selected informants aged 65 and over in private households to explore their views about what is important to them in terms of quality of life. Data were analysed using Framework qualitative analysis. Initial discussions tended to concentrate upon factors influencing quality of life including activities, relationships, health, wealth and surroundings. Further probing and analysis suggested five conceptual attributes: attachment, role, enjoyment, security and control. The data also suggested that the quality of informants' lives was limited by the loss of ability to pursue these attributes. So, for example, it is not poor health in itself, which reduces quality of life, but the influence of that poor health upon each informant's ability to, say, be independent, that is important. Amartya Sen's work on functioning and capability is particularly pertinent here. Using this work, it is possible to interpret the five conceptual attributes as a set of functionings-important for older people in the UK in the 21st century-but noting that it is the capacity to achieve these functionings that appears to be of importance. This suggests that further development of this measure should focus on an index of capability rather than preference-based utility.
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| 9. |
- Oppong, Raymond, et al.
(author)
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Cost-effectiveness of point-of-care C-reactive protein testing to inform antibiotic prescribing decisions
- 2013
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In: British Journal of General Practice. - 1478-5242. ; 63:612, s. 465-471
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Journal article (peer-reviewed)abstract
- Background Point-of-care C-reactive protein (POCCRP) is a biomarker of inflammation that offers clinicians a rapid POC test to guide antibiotic prescribing decisions for acute cough and lower respiratory tract infections (LRTI). However, evidence that POCCRP is cost-effective is limited, particularly outside experimental settings. Aim To assess the cost-effectiveness of POCCRP as a diagnostic tool for acute cough and LRTI from the perspective of the health service. Design and setting Observational study of the presentation, management, and outcomes of patients with acute cough and LRTI in primary care settings in Norway and Sweden. Method Using hierarchical regression, data were analysed in terms of the effect on antibiotic use, cost, and patient outcomes (symptom severity after 7 and 14 days, time to recovery, and EQ-5D), while controlling for patient characteristics (self-reported symptom severity, comorbidities, and health-related quality of life) at first attendance. Results POCCRP testing is associated with non-significant positive reductions in antibiotic prescribing (P = 0.078) and increased cost (P = 0.092). Despite the uncertainty, POCCRP testing is also associated with a cost per quality-adjusted life year (QALY) gain of (sic)9391. At a willingness-to-pay threshold of (sic)30 000 per QALY gained, there is a 70% probability of CRP being cost-effective. Conclusion POCCRP testing is likely to provide a cost-effective diagnostic intervention both in terms of reducing antibiotic prescribing and in terms of QALYs gained.
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| 10. |
- Wiss, Johanna
(author)
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Healthcare Priority Setting and Rare Diseases : What Matters When Reimbursing Orphan Drugs
- 2017
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Doctoral thesis (other academic/artistic)abstract
- The rarity of a disease can give rise to challenges that differ from conventional diseases. For example, rarity hampers research and development of new drugs, and patients with severe, rare diseases have limited access to qualified treatments. When drugs are available, clinical evidence has higher uncertainty and the drugs can be very expensive. When setting priorities in the healthcare sector, treatments aimed at patients with rare diseases, so called orphan drugs, have become a source of concern. Orphan drugs seldom show solid evidence of effectiveness or cost-effectiveness. Still, treatments for rare disease patients, available on the European market, has increased rapidly since the adoption of a regulation offering incentives for research and development of orphan drugs. The question arises as to whether the publicly funded health care system should provide such expensive treatments, and if so, to what extent.This doctoral thesis aims to investigate healthcare priority setting and rare diseases in the context of orphan drug reimbursement. Priority setting for orphan drugs is located at the intersection of economic, ethical and psychological perspectives. This intersection is explored by studying the public’s view on the relevance of rarity when setting priorities for orphan drugs, and by examining how orphan drugs are managed when making reimbursement decisions in practice. Papers I and II in this thesis employ quantitative, experimental methods in order to investigate preferences for prioritising rare diseases, and the extent to which psychological factors influence such preferences. Papers III and IV employ qualitative methods to further explore what factors (apart from rarity) influence priority-setting decisions for orphan drugs, as well as how decisions regarding orphan drugs are made in practice in England, France, the Netherlands, Norway and Sweden. Combining quantitative and qualitative methods has provided a more comprehensive understanding of the topic explored in the thesis, and the methods have complemented each other.Paper I shows that there is no general preference for giving higher priority to rare disease patients when allocating resources between rare and common disease patients. However, results show that preferences for treating the rare patients are malleable to a set of psychological factors, in particular “proportion dominance”. Paper II shows that the identifiability of an individual has no, or a negative, influence on the share of respondents choosing to allocate resources to him/her (compared to a nonidentified individual). Paper III confirms that rarity per se is not seen as a factor that should influence priority-setting decisions (i.e. accept a greater willingness to pay for orphan drugs), however, other factors such as disease severity, treatment effect and whether there are treatment alternatives were seen as relevant for consideration. Paper IV explores the challenges with and solutions for orphan drug reimbursement, as perceived by different actors in five European countries. Perceived challenges are related to the components involved when making reimbursement decisions, to the reimbursement system, and to the acceptance of the final decision. Solutions are either specific for orphan drugs, or general measures that can be used for orphan drugs as well as for other drugs.In conclusion, priority setting for orphan drugs is complex and requires particular attention from decision makers. There are many factors to consider when making reimbursement decisions for orphan drugs. The consequences of a decision are potentially severe (both for rare disease patients and for common disease patients, depending on the decision) and psychological factors can potentially influence decisions.
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