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Background: Recent attempts of active disinvestment (i.e. withdrawal of reimbursement by means of a policy decision) of reimbursed healthcare interventions in the Netherlands have differed in their outcome: some attempts were successful, with interventions actually being disinvested. Other attempts were terminated at some point, implying unsuccessful disinvestment. This study aimed to obtain insight into recent active disinvestment processes, and to explore what aspects affect their outcome.Methods: Semi-structured interviews were conducted from January to December 2018 with stakeholders (e.g. patients, policymakers, physicians) who were involved in the policy process of five cases for which the full or partial withdrawal of reimbursement was considered in the Netherlands between 2007 and 2017: benzodiazepines, medication for Fabry disease, quit smoking programme, psychoanalytic therapy and maternity care assistance. These cases covered both interventions that were eventually disinvested and interventions for which reimbursement was maintained after consideration. Interviews were transcribed verbatim, double coded and analyzed using thematic analysis.Results: The 37 interviews showed that support for disinvestment from stakeholders, especially from healthcare providers and policymakers, strongly affected the outcome of the disinvestment process. Furthermore, the institutional role of stakeholders as legitimized by the Dutch health insurance system, their financial interests in maintaining or discontinuing reimbursement, and the possibility to relieve the consequences of disinvestment for current patients affected the outcome of the disinvestment process as well. A poor organization of patient groups may make it difficult for patients to exert pressure, which may contribute to successful disinvestment. No evidence was found of a consistent role of the formal Dutch package criteria (i.e. effectiveness, cost-effectiveness, necessity and feasibility) in active disinvestment processes.Conclusions: Contextual factors as well as the possibility to relieve the consequences of disinvestment for current patients are important determinants of the outcome of active disinvestment processes. These results provide insight into active disinvestment processes and their determinants, and provide guidance to policymakers for a potentially more successful approach for future active disinvestment processes. [ABSTRACT FROM AUTHOR]

An editorial is presented which expresses that the cost effectiveness of health care has assumed a significant value in the society wherein demand for proper therapy and technological innovations introduced high cost medical solutions effected new plans and countries like England and New Zealand announce budgets as per their plans. It notes incremental cost-effectiveness ratio (ICER) and unit of health gain may work out for decision making on the threshold of health and wealth.

The questionnaire format applied in a CV study represents the way in which the WTP estimates are obtained. Payment scales are often used in CV studies as the questionnaire format of choice. The study summarized here analyzes the impact of the design of two payment scales (PS) on the monetary value of QALY gains. The scales differed in terms of their end-points, mid points, and coarseness. We judged the performance of the two PS against several indicators: the average WTP per QALY estimates, post-estimation uncertainty levels, the existence of mid-point concentration, and the dependency on end-points. Our results show that PS design influences respondents' WTP values. The results also suggest that a more detailed scale with a more realistic range may help respondents to elicit values closer to their "true" WTP values, hence produce higher-quality outcomes. Further research and pretesting strategies are suggested to explore and minimize the effects of PS design on WTP estimates, which may ultimately increase the quality of WTP estimates. [ABSTRACT FROM AUTHOR]

Background: Informal care is often not included in economic evaluations in healthcare, while the impact of caregiving can be relevant for cost-effectiveness recommendations from a societal perspective. The impact of informal care can be measured and valued with the CarerQol instrument, which measures the impact of informal care on seven important burden dimensions (CarerQol-7D) and values this in terms of general quality of life (CarerQol-VAS). The CarerQol can be included at the effect side of multi-criteria analyses of patient interventions or in cost-effectiveness or utility analysis of interventions targeted at caregivers.Objective: At present, utility scores based on relative utility weights for the CarerQol-7D are only available for the Netherlands. This study calculates CarerQol-7D tariffs for Australia, Germany, Sweden, UK, and US.Methods: Data were collected among the general population in Australia, Germany, Sweden, UK, and US by an Internet survey. Utility weights were collected with a discrete choice experiment with two unlabeled alternatives described in terms of the seven CarerQol-7D dimensions. An efficient experimental design with priors obtained from the Netherlands was used to create the choice sets. Data was analyzed with a panel mixed multinomial logit model with random parameters.Results: In all five countries, the CarerQol-7D dimensions were significantly associated with the utility of informal care situations. Physical health problems were most strongly associated with the utility for informal care situations. The tariff was constructed by adding up the relative utility weights per category of all CarerQol-7D dimensions for each country separately.Conclusion: The CarerQol tariffs for Australia, Germany, Sweden, UK, and US facilitate the inclusion of informal care in economic evaluations. [ABSTRACT FROM AUTHOR]

Background Conditional reimbursement of new health technologies is increasingly considered as a useful policy instrument. It allows gathering more robust evidence regarding effectiveness and cost-effectiveness of new technologies without delaying market access. Nevertheless, the literature suggests that ending reimbursement and provision of a technology when it proves not to be effective or cost-effective in practice may be difficult. Objectives To investigate how policymakers and the general public in the Netherlands value removing a previously reimbursed treatment from the basic benefits package relative to not including a new treatment. Methods To investigate this issue, we used discrete-choice experiments. Mixed multinomial logit models were used to analyze the data. Compensating variation values and changes in probability of acceptance were calculated for withdrawal of reimbursement. Results The results show that, ceteris paribus, both the general public (n = 1169) and policymakers (n = 90) prefer a treatment that is presently reimbursed over one that is presently not yet reimbursed. Conclusions Apparently, ending reimbursement is more difficult than not starting reimbursement in the first place, both for policymakers and for the public. Loss aversion is one of the possible explanations for this result. Policymakers in health care need to be aware of this effect before engaging in conditional reimbursement schemes. [ABSTRACT FROM AUTHOR]

The health of carers and others close to the patient will often be relevant to economic evaluation, but it is very rarely considered in practice. This may reflect a lack of understanding of how the spillover effect of illness can be appropriately quantified. In this study we used three different approaches to quantify health spillovers resulting from meningitis. We conducted a survey of 1218 family networks affected by meningitis and used regression modelling to estimate spillover effects. The findings show that meningitis had long-term effects on family members' health, particularly affecting the likelihood of family members reporting anxiety and depression. These effects extended beyond a single close family member. These findings suggest that vaccinating against meningitis will bring significant health benefits not just to those that might have contracted the illness but also to their family networks. In methodological terms, different approaches for quantifying health spillovers provided broadly consistent results. The choice of method will be influenced by the ease of collecting primary data from family members in intervention contexts. © 2015 The Authors. Health Economics published by John Wiley & Sons Ltd. [ABSTRACT FROM AUTHOR]

Several studies have sought to determine the monetary value of health gains expressed as quality adjusted life years (QALYs) gained, predominantly using willingness to pay approaches. However, willingness to pay has a number of recognized problems, most notably its insensitivity to scope. This paper presents an alternative approach to estimate the monetary value of a QALY, which is based on the time trade-off method. Moreover, it presents the results of an online study conducted in the Netherlands exploring the feasibility of this novel approach. The results seem promising, but also highlight a number of methodological problems with this approach, most notably nontrading and the elicitation of negative values. Additional research is necessary to try to overcome these problems and to determine the potential of this new approach. [ABSTRACT FROM AUTHOR]

Background: To judge whether an intervention offers value for money, the incremental costs per gained quality-adjusted life-year (QALY) need to be compared with some relevant threshold, which ideally reflects the monetary value of health gains. Literature suggests that this value may depend on the equity context in which health gains are produced, but the value of a QALY in relation to equity considerations has remained largely unexplored.Objective: The objective of this study was to estimate the social marginal willingness to pay (MWTP) for QALY gains in different equity subgroups, using a discrete choice experiment (DCE). Both severity of illness (operationalized as proportional shortfall) and fair innings (operationalized as age) were considered as grounds for differentiating the value of health gains.Methods: We obtained a sample of 1205 respondents, representative of the adult population of the Netherlands. The data was analysed using panel mixed multinomial logit (MMNL) and latent class models.Results: The panel MMNL models showed counterintuitive results, with more severe health states reducing the probability of receiving treatment. The latent class models revealed distinct preference patterns in the data. MWTP per QALY was sensitive to severity of disease among a substantial proportion of the public, but not to the age of care recipients.Conclusion: These findings emphasize the importance of accounting for preference heterogeneity among the public on value-laden issues such as prioritizing health care, both in research and decision making. This study emphasises the need to further explore the monetary value of a QALY in relation to equity considerations. [ABSTRACT FROM AUTHOR]

Background: Informal care makes an important contribution to societal welfare. However, it may involve substantial time costs and can have a considerable negative effect on the health and well-being of informal caregivers. These costs and effects of informal caregiving are often excluded in economic evaluations of healthcare interventions. The impact of this exclusion on the outcomes of these evaluations is largely unknown. Objectives: This study aimed to explore the inclusion of informal care in economic evaluations and the potential impact of the costs and effects of informal caregiving on cost-effectiveness outcomes. Methods: A systematic review was conducted to identify economic evaluations of interventions in four distinct disease areas where informal care is potentially important: Alzheimer's disease, metastatic colorectal cancer, Parkinson's disease and rheumatoid arthritis. It was recorded how often economic evaluations included informal caregiving. Next, for the studies including informal care, the impact on cost-effectiveness outcomes was determined by removing informal care costs and effects of the cost-effectiveness calculations and recalculating the outcomes. The new cost-effectiveness outcomes were then compared with the original reported outcomes. Results: The study identified 100 economic evaluations investigating interventions targeted at Alzheimer's disease ( n = 25), metastatic colorectal cancer ( n = 24), Parkinson's disease ( n = 8) and rheumatoid arthritis ( n = 43). Twenty-three of these evaluations (23 %) included costs and/or effects of informal caregiving: 64 % of the Alzheimer's disease studies, 0 % of the metastatic colorectal cancer studies, 13 % of Parkinson's disease studies and 14 % of rheumatoid arthritis studies. When informal care was included, this mostly concerned time costs. Studies rarely included both costs and effects. The effect of including or excluding informal care costs or effects on cost-effectiveness outcomes in most studies was modest, but in some studies the impact was strong. Conclusion: Most economic evaluations in the area of Alzheimer's disease include costs and/or effects related to informal caregiving. However, in other disease areas where informal caregiving is common it seems that the majority of economic evaluations ignore informal caregiving. The inclusion of informal care can have a strong impact on cost-effectiveness outcomes. Future economic evaluations should therefore consider the relevance of informal care in the context of their study, and either include these costs and effects or justify why they were excluded. [ABSTRACT FROM AUTHOR]

Objectives: To validate the ICECAP-O capability wellbeing measure’s German translation in older people with dementia living in a nursing home, and to investigate the influence of proxy characteristics on responses. Method: Cross-sectional study. For 95 residents living in a German nursing home, questionnaires were completed by nursing professionals serving as proxy respondents. We investigated the convergent validity of the ICECAP-O with other Quality of Life (Qol) measures, the EQ-5D extended with a cognitive dimension (EQ-5D+C), the Alzheimer’s Disease Related Quality of Life (ADRQL) measures, and the Barthel-index measure of Activities of Daily Living (ADL). Discriminant validity was investigated using bivariate and multivariate stepwise regression analysis, comparing ICECAP-O scores between subgroups varying in dementia severity, care dependency, ADL status and demographic characteristics. Results: Convergent validity between the ICECAP-O, EQ-5D+C, ADRQL and Barthel-Index scores was moderate to good (with correlations of 0.72, 0.69 and 0.53 respectively), but differed considerably between dimensions of the instruments. Discriminant validity was confirmed by finding differences in ICECAP-O scores between subgroups based on ADL scores (0.58 below 65 points on the Barthel-index and 0.80 above 65 points) and other characteristics. The ICECAP-O scores based on available tariffs were related to proxy characteristics gender (0.52 males versus 0.65 females) and work experience (0.61 below 2 years of experience versus 0.68 above 2 years). Discussion: The results of this study suggest that the ICECAP-O is a promising generic measure for general Qol and capability of people with dementia living in a nursing home. Validity tests generally yielded favorable results. Work experience and gender appeared to influence proxy response, which raises questions regarding appropriate proxies, especially since the ICECAP-O may be completed by proxies relatively often. Further research is necessary to validate the German version of the ICECAP-O, with specific attention to proxy completion for people with dementia. [ABSTRACT FROM AUTHOR]

Background: An important methodological issue in economic evaluations of healthcare is how to include productivity costs (the costs related to reduced productivity due to illness, disability and premature death). Traditionally, they were included in the numerator of a cost-effectiveness analysis, through either the human-capital or the friction-cost method. It has been argued, however, that productivity costs are already included in the denominator (i.e. in the QALY measure) because respondents consider the effect a given health state will have on their income when valuing health states. If that is the case, many previous economic evaluations might have double counted productivity costs by including them in both the numerator and the denominator. Aim: The aim of this study was to determine whether respondents valuing EQ-5D health states using the time trade-off (TTO) method spontaneously consider income effects, whether this consideration influences subsequent valuations and whether explicit ex post instructions influence valuations. Methods: Through an online survey, we asked 321 members of the Dutch general population to value four EQ-5D health states through three different TTO exercises. The first exercise was a standard TTO question. Respondents were then asked whether they had included income effects. Depending on their answer, the second TTO exercise instructed them to either include or exclude income effects. The third TTO exercise provided explicit information regarding the income loss associated with the health state. Results: Data were available from 321 members of the Dutch general public. Of these respondents, 49% stated they had spontaneously included income effects. Twenty-five percent of the sample did not trade any time in any of the TTO exercises and these respondents were excluded from the analysis. Results of t-tests showed there were only weakly significant differences in valuations for one health state between those who spontaneously included income effects and those who did not. Explicit instruction led to some significant differences at the aggregate level, but the effect was inconsistent at the individual level. When explicit information on the amount of income loss was provided, all states were valued lower when associated with a larger income loss Conclusions: This study offers further evidence indicating that income losses do not significantly affect health state valuations. [ABSTRACT FROM AUTHOR]

This paper compares several applied valuation methods for including informal care in economic evaluations of healthcare programmes: the proxy good method; the opportunity cost method; the contingent valuation method (CVM); conjoint measurement (CM); and valuation of health effects in terms of health-related quality of life (HR-QOL) and well-being. The comparison focuses on three questions: what outcome measures are available for including informal care in economic evaluations of healthcare programmes; whether these measures are compatible with the common types of economic evaluation; and, when applying these measures, whether all relevant aspects of informal care are incorporated. All types of economic evaluation can incorporate a monetary value of informal care (using the opportunity cost method, the proxy good method, CVM and CM) on the cost side of an analysis, but only when the relevant aspects of time costs have been valued. On the effect side of a cost-effectiveness or cost-utility analysis, the health effects (for the patient and/or caregiver) measured in natural units or QALYs can be combined with cost estimates based on the opportunity cost method or the proxy good method. One should be careful when incorporating CVM and CM in cost-minimization, cost-effectiveness and cost-utility analyses, as the health effects of patients receiving informal care and the carers themselves may also have been valued separately. One should determine whether the caregiver valuation exercise allows combination with other valuation techniques. In cost-benefit analyses, CVM and CM appear to be the best tools for the valuation of informal care. When researchers decide to use the well-being method, we recommend applying it in a cost-benefit analysis framework. This method values overall QOL (happiness); hence it is broader than just HR-QOL, which complicates inclusion in traditional health economic evaluations that normally define outcomes more narrowly. Using broader, non-monetary valuation techniques, such as the CarerQol instrument, requires a broader evaluation framework than cost-effectiveness/cost-utility analysis, such as cost-consequence or multi-criteria analysis. [ABSTRACT FROM AUTHOR]

Background: Increasing life expectancy and decreasing marginal valuation of additional QALYs over time may serve as a basis for discounting future health effects from a societal perspective. Therefore, we tested the hypothesis that societal time preference for health is related to perceived future life expectancy.Methods: A sample of 223 people from the general population prioritised healthcare programmes with differential timing of health benefits and costs from a societal perspective. Furthermore, we asked respondents to estimate future life expectancy.Results: The relationship between future life expectancy and time preference for health is ambiguous. We observed that people who expected a higher future life expectancy elicited higher discount rates for health effects than those with lower life expectancy growth expectations for all four time periods (5, 10, 20 and 40 years into the future), but the differences were never significant. On average, providing explicit information on growth in life expectancy did significantly alter discount rates in the expected direction but, on an individual level, the results were rather inconsistent. We observed a significantly stronger time preference (i.e. higher discount rates) for health effects than for costs. As commonly observed, discount rates for health and money decreased with time delay following a hyperbolic function.Conclusion: Our data indicate that it is troublesome to elicit societal discount rates empirically, especially rates that are in line with the theoretical arguments on societal discounting. The influence of life expectancy remains ambiguous, but there seems to be at least some positive relationship between growth in life expectancy and discount rates that deserves additional attention. [ABSTRACT FROM AUTHOR]

Objectives: Lost unpaid work and leisure time of patients due to ill health often are not included in economic evaluations, even in those taking a societal perspective. This study investigated the monetary value of unpaid work and leisure time to enable the inclusion of patient time in economic evaluations.Methods: A contingent valuation study was performed to derive monetary values of unpaid work and leisure time. Data were collected with an online survey among a representative sample of people 18 years and older in the Netherlands in terms of age, sex, and educational level in January 2014 (n = 316). Willingness-to-accept (WTA) and willingness-to-pay (WTP) values were analyzed with a two-part model. First, a logistic regression model investigated the willingness to trade in the WTA/WTP tasks. Second, a log-transformed ordinary least squares regression model analyzed the level of positive WTA and WTP values.Results: The average WTA value for unpaid work was €15.83, and the average WTA value for leisure time was €15.86. The mean WTP value for leisure time was €9.37 when traded against unpaid work, and €9.56 when traded against paid work. Differences in monetary values of unpaid work and leisure time were partly explained by respondents' income, educational level, age, and household composition.Conclusions: Researchers can adhere to the societal perspective by also including the value of hours of lost unpaid work and leisure time in economic evaluations. As a first indication of its value, we suggest applying the WTA value of €16. [ABSTRACT FROM AUTHOR]

Health economic evaluations using common health-related quality of life measures may fall short in adequately incorporating all relevant benefits of health and social care interventions targeted at older people. The Well-being of Older People measure (WOOP) is a broader well-being measure that comprises nine well-being domains. The objective of this study was to estimate a utility tariff for the WOOP, to facilitate its application in cost-utility analyses. A discrete choice experiment (DCE) with duration approach was set up and fielded among 2,012 individuals from the Netherlands aged 65 years and above. Matched pairwise choice tasks, colour-coding and level overlap were used to reduce the cognitive burden of the DCE. The choice tasks were created using a Bayesian heterogeneous D-efficient design. The estimation procedure accommodated for nonlinear time preferences via an exponential discounting function. The estimation results showed that 'physical health', 'mental health', and 'making ends meet' were the most important well-being domains for older people, followed by 'independence' and 'living situation'. Of somewhat lesser importance were domains like 'social life', 'receiving support' and 'feeling useful'. The generated utility tariffs can be used to translate well-being states described with the WOOP to a utility score between −0.616 and 1. This study established a tariff for the WOOP, which will facilitate its use in economic evaluations of health and social care interventions targeted at older people, first of all in the Netherlands. • A choice experiment was used to create weights for a novel well-being measure. • This enables the use of the WOOP instrument in economic evaluations of elderly care. • Health, independence, and financial stability were the most important dimensions. • Social contact, receiving support, or feeling useful were less important. • Study adopted methodological advances in utility measurement and choice task design. [ABSTRACT FROM AUTHOR]