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There is a need for comprehensive measures to evaluate the benefits of health and social care services for older people. The newly developed Well-being of Older People measure (WOOP) aims to capture all aspects that older people find important to their well-being. This study explores the validity and test-retest reliability of the WOOP. Between December 2017 and January 2018, an online survey was used to retrieve data from 1113 people aged 65 years and older in the Netherlands. Regression analyses on Cantril's Ladder scores were conducted to explore the relative importance of the items of the WOOP. Dimensionality was checked using exploratory factor analysis. Convergent and discriminant validity were investigated by relating the WOOP to several measures of health and well-being. Test-retest reliability was examined using data from 269 respondents that participated in a second online survey, distributed one week after the first. The items of the WOOP were significantly associated with Cantril's Ladder scores. When regressed simultaneously this was still true for all but the ‘social contacts’ item and one level of the ‘acceptance and resilience’ item. The dimensionality analysis revealed three factors, of which two included items of the WOOP and the EQ-5D-5L and the third only items of the WOOP. The WOOP correlated moderately to highly with physical health, and (very) highly with (mental) health and well-being measures. The test-retest reliability in terms of ICC was high, whereas the kappa for the items was fair to good, except for two items. Overall, the WOOP seems to capture aspects relevant to the well-being of older people adequately, and the results of first validity and reliability tests were satisfactory. Before the WOOP can be used in economic evaluations, further validation in a variety of health and social care settings is recommended, and utility weights need to be determined.

Earlier work suggested that subjective life expectancy (SLE) functions as reference point in time trade-off (TTO), but has not tested or modelled this explicitly. In this paper we construct a model based on prospect theory to investigate these predictions more thoroughly. We report the first experimental test of reference-dependence with respect to SLE for TTO and extend this approach to standard gamble (SG). In two experiments, subjects’ SLEs were used to construct different versions of 10-year TTO and SG tasks, with the gauge duration either described as occurring above or below life expectation. Our analyses suggest that both TTO and SG weights were affected by SLE as predicted by prospect theory with SLE as reference point. Subjects gave up fewer years in TTO and were less risk-tolerant in SG below SLE, implying that weights derived from these health state valuation methods for durations below SLE will be biased upwards.

Background The 2014–2016 Ebola virus disease (EVD) outbreak in West Africa was the largest EVD outbreak recorded, which has triggered calls for investments that would facilitate an even earlier response. This study aims to estimate the costs and health effects of earlier interventions in Sierra Leone. Methods A deterministic and a stochastic compartment model describing the EVD outbreak was estimated using a variety of data sources. Costs and Disability-Adjusted Life Years were used to estimate and compare scenarios of earlier interventions. Results Four weeks earlier interventions would have averted 10,257 (IQR 4353–18,813) cases and 8835 (IQR 3766–16,316) deaths. This implies 456 (IQR 194–841) thousand DALYs and 203 (IQR 87–374) million $US saved. The greatest losses occurred outside the healthcare sector. Conclusions Earlier response in an Ebola outbreak saves lives and costs. Investments in healthcare system facilitating such responses are needed and can offer good value for money.

Purpose: The ICEpop CAPability measure for Older people (ICECAP-O) is intended for use in economic evaluations of care services for older people. Although studies support the validity of the ICECAP-O, it does not directly ask older people about their health. This raises questions about its ability to capture health indirectly. Previous studies found mixed results in this aspect, especially for physical health. This study further investigates whether the ICECAP-O indirectly includes health. Methods: Using a cross-sectional design, a sampling agency retrieved data from 516 people aged 70 and older from the UK through an online questionnaire. The overlap in underlying constructs of the ICECAP-O and EQ-5D-5L was assessed using exploratory factor analysis. Spearman correlations and variance analysis were conducted by relating the ICECAP-O to measures of physical, mental and social functioning. Results: The ICECAP-O and EQ-5D-5L items loaded on two factors. Their overlap was limited, as four out of five EQ-5D-5L items loaded on the first factor, while four out of five ICECAP-O items loaded on the second. The ICECAP-O correlated highly with (mental and social functioning) health measures, and was able to differentiate between individuals with different scores on these measures. However, the correlation with the Barthel Index, a measure of physical functioning, was moderate. Conclusions: The ICECAP-O may not fully cover all aspects of health. Therefore, a complementary health measure should be used in addition to the ICECAP-O to capture the full benefits of care interventions for older people in economic evaluations.

Appropriate discounting rules in economic evaluations have received considerable attention in the literature and in national guidelines for economic evaluations. Rightfully so, as discounting can be quite influential on the outcomes of economic evaluations. The most prominent controversies regarding discounting involve the basis for and height of the discount rate, whether costs and effects should be discounted at the same rate, and whether discount rates should decline or stay constant over time. Moreover, the choice for discount rules depends on the decision context one adopts as the most relevant. In this article, we review these issues and debates, and describe and discuss the current discounting recommendations of the countries publishing their national guidelines. We finish the article by proposing a research agenda.

The time trade-off (TTO) method is widely used to obtain quality of life scores for health states, but its validity is not uncontested, for instance because TTO values for similar health states can differ substantially between studies. This could be caused by differences between studies in how the procedure is applied, but could also relate to differences in study samples.

The increasing demand for healthcare and the resulting pressure on available budgets render priority setting inevitable. If societies aim to improve health and distribute health(care) fairly, equity-efficiency trade-offs are necessary. In the Netherlands, proportional shortfall (PS) was introduced to quantify necessity of care, allowing a direct equity-efficiency trade-off. This study describes the history and application of PS in the Netherlands and examines the theoretical and empirical support for PS as well as its current role in healthcare decision making. We reviewed the international literature on PS from 2001 onwards, along with publicly accessible meeting reports from the Dutch appraisal committee, Adviescommissie Pakket (ACP), from 2013 to 2016. Our results indicate that there is support for the decision model in which necessity is quantified and incremental cost-effectiveness ratios are evaluated against associated monetary reference values. The model enables a uniform framework for priority setting across all healthcare sectors. Although consensus about the application of PS has not yet been reached and alternative ways to quantify necessity were found in ACP reports, PS has increasingly been applied in decision making since 2015. However, empirical support for PS is limited and it may insufficiently reflect societal preferences regarding age and reducing lifetime-health inequalities. Hence, further investigation into refining PS-or exploration of another approach-appears warranted for operationalising the equity-efficiency trade-off.

Including the costs of non-medical consumption in life years gained in economic evaluations of medical interventions has been controversial. This paper focuses on the estimation of these costs using Dutch data coming from cross-sectional household surveys consisting of 56,569 observations covering the years 1978–2004. We decomposed the costs of consumption into age, period and cohort effects and modelled the non-linear age and cohort patterns of consumption using P-splines. As consumption patterns depend on household composition, we also estimated household size using the same regression modeling strategy. Estimates of non-medical consumption and household size were combined with life tables to estimate the impact of including non-medical survivor costs on an incremental cost-effectiveness ratio (ICER). Results revealed that including non-medical survivor costs substantially increases the ICER, but the effect varies strongly with age. The impact of cohort effects is limited but ignoring household economies of scale results in a significant overestimation of non-medical costs. We conclude that a) ignoring the costs of non-medical consumption results in an underestimation of the costs of life prolonging interventions b) economies of scale within households with respect to consumption should be accounted for when estimating future costs.

Background Conflicting results regarding associations of time trade-off (TTO) valuations with respondent characteristics have been reported, mostly on the basis of regression analyses. Alternative approaches, such as the latent class analysis (LCA), may add to the further understanding of variations in TTO responses. Objectives To identify whether subgroups of respondents can be identified on the basis of their responses to TTO exercises and to investigate which respondent characteristics are associated with membership of the identified subgroups. Methods Members of the Dutch general public, aged 18 to 65 years, completed a Web-based questionnaire concerning sociodemographic characteristics, three TTO exercises valuing health states described using the domains of the EuroQol five-dimensional questionnaire, and preference for quality versus quantity of life. LCA was used to identify patterns in the responses. Predictive variables were included in the final LCA model to identify the particular respondent characteristics that predict subgroup membership. Results The sample consisted of 1067 respondents. Four latent classes were identified in the responses to TTO exercises. Two were high traders, focusing on quality of life and trading off a relatively high number of years. The other two were low traders, focusing on length of life. Predictive analyses revealed significant differences between subgroups in terms of age, sex, subjective life expectancy, and preference for quantity over quality of life. Conclusions We showed that distinct classes of respondents can be discerned in TTO responses from the general public, distinguishing subgroups of low and high traders. More research in this area should confirm our findings and investigate their implications for health state valuation exercises.

Health care systems are challenged in allocating scarce health care resources, which are typically insufficient to fulfil all health care wants and needs. One criterion for priority setting may be the 'acceptable health' approach, which suggests that society may want to assign higher priority to health benefits in people with "unacceptable" than in people with "acceptable" health. A level of acceptable health then serves as a reference point for priority setting. Empirical research has indicated that people may be able and willing to define health states as "unacceptable" or "acceptable", but little attention has been given to the normative implications of evaluating health benefits in relation to a reference level of acceptable health. The current paper aims to address this gap by relating insights from the distributive justice literature, i.e. the sufficientarian literature, to the acceptable health approach, as we argue that these approaches are related. We specifically focus on the implications of an 'acceptability' approach for priority weighting of health benefits, derived from sufficientarian reasoning and debates, and assess the moral implications of such weighting.

We provide some first insights into this willingness to be vaccinated, based on a multi-country European study [4], which hopefully result in more attention for this important issue.

Objectives: Coverage with evidence development (CED) schemes are particularly relevant for medical devices (MDs), since clinical evidence is often limited at the time of launch and their long-term (cost- ) effectiveness heavily depends on how they are adopted into routine clinical practice. The objective of this study was to identify and describe the challenges that payers and manufacturers might face when assessing the desirability of, choosing the research design for, implementing, and evaluating CED schemes for MDs. Methods: A systematic literature review was performed on six databases following PRISMA guidelines. Two independent reviewers assessed the eligibility of studies based on predefined criteria and extracted data from the included articles by using a pre-defined extraction template. The data were synthesised in a narrative review. Results: The systematic search yielded 4293 articles of which 27 were eligible for inclusion. We identified 20 challenges that are associated with CED schemes for MDs. Five of these challenges relate directly to the characteristics of MDs, and hence are specific to MDs. These challenges concern deciding on whether a CED scheme is required, understanding the relevant uncertainties and risks, identifying meaningful out- comes, defining an adequate duration for a scheme, and market entry of new technologies. Conclusions: Payers and manufacturers of MDs have to address the identified challenges to improve a CED scheme’s chance of success. This can be further improved by public sharing of information about the outcome of applied schemes and way in which stakeholders have addressed the challenges they faced when applying a CED scheme.

__Background__ The ICECAP-O and the ICECAP-A are validated capability well-being instruments. To be used in economic evaluations, multidimensional instruments require weighting of the distinguished well-being states. These weights are usually obtained through ex ante preference elicitation (i.e., decision utility) but could also be based on experienced utility. __Objective__ This article describes the development of value sets for ICECAP-O and ICECAP-A based on experienced utility and compares them with current decision utility weights. __Methods__ Data from 2 cross-sectional samples corresponding to the target groups of ICECAP-O and ICECAP-A were used in 2 separate analyses. The utility impacts of ICECAP-O and ICECAP-A levels were assessed through regression models using a composite measure of subjective well-being as a proxy for experienced utility. The observed utility impacts were rescaled to match the 0 to 1 range of the existing value set. __Results__ The calculated experienced utility values were similar to the decision utility weights for some of the ICECAP dimensions but deviated for others. The largest differences were found for weights of the ICECAP-O dimension enjoyment and the ICECAP-A dimensions attachment and autonomy. __Conclusions__ The results suggest a different weighting of ICECAP-O and ICECAP-A levels if experienced utility is used instead of decision utility.

Economic evaluations of new youth mental health interventions require preference-based outcome measures that capture the broad benefits these interventions can have for adolescents. The Abbreviated Self Completion Teen-Addiction Severity Index (ASC T-ASI) was developed to meet the need for such a broader measure. It assesses self reported problems in seven important domains of adolescents’ lives, including school performance and family relationships, and is intended for use in economic evaluations of relevant interventions. The aim of the current study was to present the ASC T-ASI and examine its validity as well as its ability to distinguish between adolescents with and without problems associated with substance use and delinquency. The validation study was conducted in a sample of adolescents (n = 167) aged 12–18 years, who received in- or outpatient care in a youth mental health and (enclosed) care facility in the Netherlands. To examine its feasibility, test-retest reliability, and convergent validity, respondents completed the ASC T-ASI, as well as the EQ-5D-3L and SDQ at baseline and after a two-week interval using a counterbalanced method. The ASC T-ASI descriptive system comprises seven domains: substance use, school, work, family, social relationships, justice, and mental health, each expressing self reported problems on a five-point Likert scale (ranging from having ‘no problem’ to having a ‘very large problem’). The majority of respondents (>70%) completed the ASC T-ASI within 10 minutes and appraised the questions as (very) easy and (very) comprehensible. Test-retest reliability was adequate (Kw values 0.26–0.55). Correlations with the supplementary measures were moderate to high (rs 0.30–0.50), suggesting convergent validity. The ASC T-ASI is a promising and valid measure for assessing self reported problems in important domains in adolescents’ lives, allowing benefits beyond health and health-related quality of life to be included in economic evaluations of youth mental health interventions. Future studies of the ASC T-ASI should consider the comprehensiveness of its domains and sensitivity to change.

Objective The aim of this study is to identify items of economic evaluation guidelines that are frequently not complied within obstetric economic evaluations and to search for reasons for non‐adherence. Design Scoping review and qualitative study. Setting Literature on economic evaluations in obstetric care and interviews with experts. Population or sample The sample included 229 scientific articles and five experts. Methods A systematic literature search was performed. All types of literature about economic evaluations in obstetric care were included. The adherence to guidelines was assessed and articles were qualitatively analysed on additional information about reasons for non‐adherence. Issues that arose from the scoping review were discussed with experts. Main outcome measures Adherence to guideline items of the included economic evaluations studies. Analytical themes describing reasons for non‐adherence, resulting from qualitative analysis of articles and interviews with experts. Results A total of 184 economic evaluations and 45 other type of articles were included. Guideline items frequently not complied with were time horizon, type of economic evaluation and effect measure. Reasons for non‐adherence had to do with paucity of long‐term health data and assessing and combining outcomes for mother and child resulting from obstetric interventions. Conclusions This study identified items of guidelines that are frequently not complied with and the reasons behind this. The results are a starting point for a broad consensus building on how to deal with these challenges that can result in special guidance for the conduct of economic evaluations in obstetric care. Tweetable abstract Non‐adherence to guidelines in obstetric economic evaluation studies: the difficulties in detail., Tweetable abstract Non‐adherence to guidelines in obstetric economic evaluation studies: the difficulties in detail.

Purpose The pressure on healthcare budgets remains high, partially due to the ageing population. Economic evaluation can be a helpful tool to inform resource allocation in publicly financed systems. Such evaluations frequently use health-related outcome measures. However, in areas such as care of older people, improving health outcomes is not necessarily the main focus of care interventions and broader outcome measures, including outcomes for those providing informal care, may be preferred when evaluating such interventions. This paper validates a recently introduced well-being measure, the ICECAP-O, in a population of informal carers for people with dementia from eight European countries. Methods Convergent and discriminant validity tests were performed to validate the ICECAP-O using data obtained in a sample of 451 respondents from Germany, Ireland, Italy, the Netherlands, Norway, Portugal, Sweden and the UK. These respondents completed a number of standardized questionnaires within the framework of the Actifcare project. Results The ICECAP-O performed well among informal carers, in terms of both convergent and discriminant validity. In the multivariate analysis, it was found to be significantly associated with the age of the person with dementia, EQ-5D-5L health problem index of the person with dementia, carer–patient relationship, care recipient CDR, carer LSNS Score, the PAI score, and Perseverance Time. Conclusion The ICECAP-O appears to be a valid measure of well-being in informal carers for people with dementia. The ICECAP-O may therefore be useful as an outcome measure in economic evaluations of interventions aimed at such informal carers, when these aim to improve well-being beyond health.

Background Health behaviours like smoking, nutrition, alcohol consumption and physical activity (SNAP) are often studied separately, while combinations can be particularly harmful. This study aims to contribute to a better understanding of lifestyle choices by studying the prevalence of (combinations of) unhealthy SNAP behaviours in relation to attitudinal factors (time orientation, risk attitude) and subjective health (self-rated health, life expectancy) among the adult Dutch population. Methods In total 1006 respondents, representative of the Dutch adult population (18–75 years) in terms of sex, age, and education, were drawn from a panel in 2016. They completed an online questionnaire. Groups comparisons and logistic regression analyses (crude and adjusted) were applied to analyse (combinations of) SNAP behaviours in relation to time orientation (using the Consideration of Future Consequences scale comprising Immediate (CFC-I) and Future (CFC-F) scales) and risk attitude (Health-Risk Attitude Scale; HRAS-6), as well as subjective health (visual analogue scale and subjective life expectancy). Results In the analyses, 989 respondents (51% men, average 52 years, 22% low, 48% middle, and 30% high educated) were included. About 8% of respondents engaged in four unhealthy SNAP behaviours and 18% in none. Self-rated health varied from 5.5 to 7.6 in these groups, whilst subjective life expectancy ranged between 73.7 and 85.5 years. Logistic regression analyses, adjusted for socio-demographic variables, showed that smoking, excessive drinking and combining two or more unhealthy SNAP behaviours were significantly associated with CFC-I scores, which increased the odds by 30%, 18% and 19%, respectively. Only physical inactivity was significantly associated with CFC-F scores, which increased the odds by 20%. Three out of the four SNAP behaviours were significantly associated with HRAS-6, which increased the odds between 6% and 12%. An unhealthy diet, excessive drinking, and physical inactivity were significantly associated with SRH, which decreased the odds by 11%. Only smoking was significantly associated with subjective life expectancy, which decreased the odds by 3%. Conclusion Our findings suggest that attitudinal factors and subjective health are relevant in the context of understanding unhealthy SNAP behaviours and their clustering. This emphasizes the relevance of a holistic approach to health prevention rather than focusing on a single unhealthy SNAP behaviour.

Common health state valuation methodologies, such as standard gamble (SG) and time trade‐off (TTO), typically produce different weights for identical health states. We attempt to alleviate these differences by correcting the confounding influences modeled in prospect theory: loss aversion and probability weighting. Furthermore, we correct for nonlinear utility of life duration. In contrast to earlier attempts at correcting TTO and SG weights, we measure and correct all these tenets simultaneously, using newly developed nonparametric methodology. These corrections were applied to three less‐than‐perfect health states, measured with TTO and SG. We found considerable loss aversion and probability weighting for both gains and losses in life years, and we observe concave utility for gains and convex utility for losses in life years. After correction, the initially significant differences in weights between TTO and SG disappeared for all health states. Our findings suggest new opportunities to account for bias in health state valuations but also the need for further validation of resulting weights.

New medical technologies that prolong life result in additional health care use in life years gained. Some of these costs in life years gained are considered to be related to the intervention while other costs are considered unrelated. Here, we argue that ignoring these so-called future medical costs in cost effectiveness analysis is contrary to common sense, results in lost health and fails to inform decision makers for whom cost effectiveness is supposed to serve.

Background Limited health care budgets and population aging result in a need to compare care services on their benefits and costs. Because services for older people often aim to improve multiple life aspects, valid measures are needed to examine their benefits on individuals' health and well-being simultaneously. Two measures may meet this end: the Adult Social Care Outcomes Toolkit (ASCOT) and the ICEpop CAPability measure for Older people (ICECAP-O). Objectives To compare the validity of both measures, the ASCOT and the ICECAP-O. Methods A sampling agency gathered cross-sectional data in May 2015. Using exploratory factor analysis, the underlying factor structure of the ASCOT and the ICECAP-O was examined for the first time. Convergent and discriminant validity in relation to health measures (five-level EuroQol five-dimensional questionnaire, EuroQol Visual Analogue Scale, Barthel Index, and Geriatric Depression Scale-15) and well-being measures (Older People's Quality of Life Questionnaire-13, Satisfaction with Life Scale, and Cantril's Ladder) were tested using Spearman rank correlations and variance analysis. Results The ASCOT and the ICECAP-O tapped into a shared factor, whereas both measures also loaded on two separate factors. The ASCOT and the ICECAP-O correlated highly with the health and well-being measures, but the correlation with the physical health measure Barthel Index was moderate. Both measures discriminated between subgroups of respondents. Conclusions The ASCOT and the ICECAP-O seem promising measures to evaluate well-being among older people, whereby the ASCOT seems more specific to social care–related outcomes. The performance of both measures in other respondent groups and countries, and their relation to physical health, need to be further examined before their use in economic evaluations can be recommended.

Objectives Recent debates in the Netherlands on health care priority setting have focused on the relative value of gains generated by life-extending medicines for people with a terminal illness, mostly new cancer drugs. These treatments are generally expensive, provide relatively small health gains, and therefore usually do not meet common cost per QALY thresholds. Nevertheless, these drugs may be provided under the assumption that there is public support for making a special case for treatments for people with a terminal illness. This study investigated the views of the public in the Netherlands on a range of equity and efficiency considerations relevant to priority setting and examines whether there is public support for making such a special case. Methods Using Q methodology, three viewpoints on important principles for priority setting were identified. Data were collected through ranking exercises conducted by 46 members of the general public in the Netherlands, including 11 respondents with personal experience with cancer. Results Viewpoint 1 emphasized that people have equal rights to healthcare and opposed priority setting on any ground. Viewpoint 2 emphasized that the care for terminal patients should at all times respect the patients' quality of life, which sometimes means refraining from invasive treatments. Viewpoint 3 had a strong focus on effective and efficient care and had no moral objection against priority setting under certain circumstances. Conclusions Overall, we found little public support for the assumption that health gains in terminally ill patients are more valuable than those in other patients. This implies that the assumption that society is prepared to pay more for health gains in people who have only a short period of lifetime left does not correspond with societal preferences in the Netherlands.

In this editorial, we consider the vexing issue of 'unrelated future costs' (for example, the costs of caring for people with dementia or kidney failure after preventing their deaths from a heart attack). The National Institute of Health and Care Excellence (NICE) guidance is not to take such costs into account in technology appraisals. However, standard appraisal practice involves modelling the benefits of those unrelated technologies. We argue that there is a sound principled reason for including both the costs and benefits of unrelated care. Changing this practice would have material consequences for decisions about reimbursing particular technologies, and we urge future research to understand this better. Copyright © 2016 John Wiley & Sons, Ltd.

Population ageing and restricted budgets result in the need for an efficient allocation of scarce resources in care services for older people. As these services tend to address more than only health, diverse wellbeing measures have been developed to assess their benefits in economic evaluations. These measures are grounded in research on wellbeing of older people and its determinants. Little is known about possible heterogeneity in this context and the extent to which wellbeing measures cover the aspects of wellbeing that are most important to older people with different views on wellbeing. We conducted a Q-methodology study between December 2016 and October 2017 to investigate the variety in views among people aged 65 and older in the Netherlands on what is important to their wellbeing. A purposive sample of 53 respondents ranked 34 opinion statements according to importance to their wellbeing and explained their ranking during a follow-up interview. Data were analysed using by-person factor analysis to identify common patterns in the rankings of the statements. Five distinct views were extracted in which different aspects were considered important: (I) health, financial security and a life partner; (II) family, support and physical functioning (III); autonomy, mental health and helping others; (IV) social contacts, support, mental health and religion; and (V) a life partner, social contacts, living environment and adaptation. This heterogeneity in views of older people on what constitutes wellbeing supports the use of person-centered approaches in care services for older people. Arguably, (evaluations of) policies and services for older people should take this plurality into consideration.

There has been considerable debate on the extent to which future costs should be included in cost-effectiveness analyses of health technologies. In this article, we summarize the theoretical debates and empirical research in this area and highlight the conclusions that can be drawn for current practice. For future related and future unrelated medical costs, the literature suggests that inclusion is required to obtain optimal outcomes from available resources. This conclusion does not depend on the perspective adopted by the decision maker. Future non-medical costs are only relevant when adopting a societal perspective; these should be included if the benefits of non-medical consumption and production are also included in the evaluation. Whether this is the case currently remains unclear, given that benefits are typically quantified in quality-adjusted life-years and only limited research has been performed on the extent to which these (implicitly) capture benefits beyond health. Empirical research has shown that the impact of including future costs can be large, and that estimation of such costs is feasible. In practice, however, future unrelated medical costs and future unrelated non-medical consumption costs are typically excluded from economic evaluations. This is explicitly prescribed in some pharmacoeconomic guidelines. Further research is warranted on the development and improvement of methods for the estimation of future costs. Standardization of methods is needed to enhance the practical applicability of inclusion for the analyst and the comparability of the outcomes of different studies. For future non-medical costs, further research is also needed on the extent to which benefits related to this spending are captured in the measurement and valuation of health benefits, and how to broaden the scope of the evaluation if they are not sufficiently captured.

Evidence has accumulated documenting loss aversion for monetary and, recently, for health outcomes—meaning that, generally, losses carry more weight than equally sized gains. In the conventional Quality-Adjusted Life Year (QALY) models, which comprise utility for quality and length of life, loss aversion is not taken into account. When measuring elements of the QALY model, commonly, the (implicit) assumption is that utility for length and quality of life are independent. First attempts to quantify loss aversion for QALYs typically measured loss aversion in the context of life duration, keeping quality of life constant (or vice versa). However, given that QALYs are multi-attribute utilities, it may be possible that the degree of loss aversion is dependent on, or inseparable from, quality of life and non-constant. We test this assumption using non-parametric methodology to quantify loss aversion, under different levels of quality of life. We measure utility of life duration for four health states within subjects, and present the results of a robustness test of loss aversion within the QALY model. We find loss aversion coefficients to be stable at the aggregate level, albeit with considerable heterogeneity at the individual level. Implications for applied work on prospect theory within health economics are discussed.

Traditionally, threshold levels of cost‐effectiveness have been derived from willingness‐to‐pay studies, indicating the consumption value of health (v‐thresholds). However, it has been argued that v‐thresholds need to be supplemented by so‐called k‐thresholds, which are based on the marginal returns to health care. The objective of this research is to estimate a k‐threshold based on the marginal returns to cardiovascular disease (CVD) hospital care in the Netherlands. To estimate a k‐threshold for hospital care on CVD, we proceed in two steps: First, we estimate the impact of hospital spending on mortality using a Bayesian regression modelling framework, using data on CVD mortality and CVD hospital spending by age and gender for the period 1994–2010. Second, we use life tables in combination with quality of life data to convert these estimates into a k‐threshold expressed in euros per quality‐adjusted life year gained. Our base case estimate resulted in an estimate of 41,000 per quality‐adjusted life year gained. In our sensitivity analyses, we illustrated how the incorporation of prior evidence into the estimation pushes estimates downwards. We conclude that our base case estimate of the k‐threshold may serve as a benchmark value for decision making in the Netherlands as well as for future research regarding k‐thresholds.

__Introduction__ Policy makers increasingly need to prioritise between competing health technologies or patient populations. When aiming to align allocation decisions with societal preferences, knowledge and operationalisation of such preferences is indispensable. This study examines the distribution of three views on healthcare priority setting in the Netherlands, labelled "Equal right to healthcare", "Limits to healthcare", and "Effective and efficient healthcare", and their relationship with preferences in willingness to trade-off (WTT) exercises. __Methods__ A survey including four reimbursement scenarios was conducted in a representative sample of the adult population in the Netherlands (n = 261). Respondents were matched to one of the three views based on their agreement with 14 statements on principles for resource allocation. We tested for WTT differences between respondents with different views and applied logit regression models for examining the relationship between preferences and background characteristics, including views. __Results__ Nearly 65% of respondents held the view "Equal right to healthcare", followed by "Limits to healthcare" (22.5%), and "Effective and efficient healthcare" (7.1%). Most respondents (75.9%) expressed WTT in at least one scenario and preferred gains in quality of life over life expectancy, maximising gains over limiting inequality, treating children over elderly, and those with adversity over those with an unhealthy lifestyle. Various background characteristics, including the views, were associated with respondents' preferences. __Conclusions__ Most respondents held an egalitarian view on priority setting, yet the majority was willing to prioritise regardless of their view. Societal views and preferences concerning healthcare priority setting are related. However, respondents' views influence preferences differently in different reimbursement scenarios. As societal views and preferences are heterogeneous and may conflict, aligning allocation decisions with societal preferences remains challenging and any decision may be expected to receive opposition from some group in society.

Productivity costs can strongly impact cost-effectiveness outcomes. This study investigated the impact in the context of expensive hospital drugs. This study aimed to: (1) investigate the effect of productivity costs on cost-effectiveness outcomes, (2) determine whether economic evaluations of expensive drugs commonly include productivity costs related to paid and unpaid work, and (3) explore potential reasons for excluding productivity costs from the economic evaluation. We conducted a systematic literature review to identify economic evaluations of 33 expensive drugs. We analysed whether evaluations included productivity costs and whether inclusion or exclusion was related to the study population’s age, health and national health economic guidelines. The impact on cost-effectiveness outcomes was assessed in studies that included productivity costs. Of 249 identified economic evaluations of expensive drugs, 22 (9 %) included productivity costs related to paid work. One study included unpaid productivity. Mostly, productivity cost exclusion could not be explained by the study population’s age and health status, but national guidelines appeared influential. Productivity costs proved often highly influential. This study indicates that productivity costs in economic evaluations of expensive hospital drugs are commonly and inconsistently ignored in economic evaluations. This warrants caution in interpreting and comparing the results of these evaluations. Electronic supplementary material The online version of this article (doi:10.1007/s10198-015-0685-x) contains supplementary material, which is available to authorized users.

Many countries have national guidelines for performing economic evaluations in healthcare.1 These guidelines should ensure the comparability and quality of such evaluations, which should facilitate making well informed policy decisions regarding reimbursement of interventions. Given the developments in both the methodology and policy context of economic evaluation of healthcare interventions, these guidelines require periodical revision. Recently, the Dutch National Health Care Institute issued new guidance for economic evaluations in healthcare [1]. The new guidelines update and replace three separately published previous guidelines: those for pharmacoeconomic evaluation (latest version 2006), outcomes research (latest version 2008) as well as the Dutch costing manual (latest version 2010). In this editorial, we highlight the distinguishing features of the new Dutch guidelines. Moreover, we highlight which developments, in our opinion, are desirable in coming updates, but are still in development or controversial.

Including societal preferences in allocation decisions is an important challenge for the health care sector. Here, we present results of a phased discrete choice experiment investigating the impact of various attributes on respondents’ preferences for distribution of health and health care. In addition to the renowned equity principles severity of illness (operationalized as initial health) and fair innings (operationalized as age), some characteristics of beneficiaries (culpability and having dependents) and the disease (rarity) were included in the choice experiment. We used a nested logit model to analyse the data. We found that all selected attributes significantly influenced respondents’ choices. The phased inclusion showed that additional attributes affected respondents’ preferences for previously-included attributes and reduced unobserved variance. Although not all these attributes may be considered relevant for decision making from a normative perspective, including them in choice experiments contributes to our understanding of societal preferences for each single attribute. Refereed/Peer-reviewed

Whether respondents incorporate altruistic preferences in time tradeoff (TTO) exercises remains understudied. We present an extended quality-adjusted life-year model incorporating altruism. We derive that altruism may affect TTO values in 2 directions. First, “longevity altruists” may wish to prolong life for the sake of their loved ones (to avoid being missed). Second, “quality-of-life altruists” may have a preference to avoid bad health states resulting in being a burden to loved ones. The existence and influence of these preferences in a TTO were empirically confirmed in a sample of 1690 respondents from the general public. We classified respondents as “longevity altruists” or “quality-of-life altruists” based on their reasoning behind inclusion of loved ones in their TTO responses. In line with expectations, longevity altruists traded fewer years than quality-of-life altruists. Nonaltruists gave intermediate values.

The idea of competition in health care can provoke strong reactions from commentators, with some for and others against. Proponents of competition generally fall into one of two camps: those who believe in the innate value of market-based resource allocation (i.e., a decentralised approach to production and consumption decisions, with prices providing the main signals for such decisions) and those who favour the market more for its potential to correct the failures of government regulation. Both camps typically expect competition to do the following things: strengthen patient choice, stimulate innovation, improve quality, enhance efficiency and control costs — in short, to give people what they want in the least costly way possible. Opponents of competition, in contrast, typically fear it will lead to undesirable outcomes such as a reduction in quality, access to health care based on ability to pay rather than medical need and, as a result, inequity and inefficiency in the distribution of health services. Given these differing views, the European Commission asked its Expert Panel on Effective Ways of Investing in Health to consider if and how competition among health care providers might benefit health systems in the European Union. This article summarises the main findings and conclusions of the panel’s final report [8].1

Background Productivity losses often contribute significantly to the total costs in economic evaluations adopting a societal perspective. Currently, no consensus exists on the measurement and valuation of productivity losses. Objective We aimed to develop a standardized instrument for measuring and valuing productivity losses. Methods A group of researchers with extensive experience in measuring and valuing productivity losses designed an instrument suitable for self-completion, building on preknowledge and evidence on validity. The instrument was designed to cover all domains of productivity losses, thus allowing quantification and valuation of all productivity losses. A feasibility study was performed to check the questionnaire's consistency and intelligibility. Results The iMTA Productivity Cost Questionnaire ( i PCQ) includes three modules measuring productivity losses of paid work due to 1) absenteeism and 2) presenteeism and productivity losses related to 3) unpaid work. Questions for measuring absenteeism and presenteeism were derived from existing validated questionnaires. Because validated measures of losses of unpaid work are scarce, the questions of this module were newly developed. To enhance the instrument's feasibility, simple language was used. The feasibility study included 195 respondents (response rate 80%) older than 18 years. Seven percent (n = 13) identified problems while filling in the i PCQ, including problems with the questionnaire's instructions and routing (n = 6) and wording (n = 2). Five respondents experienced difficulties in estimating the time that would be needed for other people to make up for lost unpaid work. Conclusions Most modules of the i PCQ are based on validated questions derived from previously available instruments. The instrument is understandable for most of the general public.

In this study, aggregate-level panel data from 20 Organization for Economic Cooperation and Development countries over three decades (1980-2009) were used to investigate the impact of hospital payment reforms on healthcare output and mortality. Hospital payment schemes were classified as fixed-budget (i.e. not directly based on activities), fee-for-service (FFS) or patient-based payment (PBP) schemes. The data were analysed using a difference-in-difference model that allows for a structural change in outcomes due to payment reform. The results suggest that FFS schemes increase the growth rate of healthcare output, whereas PBP schemes positively affect life expectancy at age 65 years. However, these results should be interpreted with caution, as results are sensitive to model specification. Copyright © 2015 John Wiley & Sons, Ltd.

Background: Improvements in life expectancy have fuelled debates about the statutory retirement age in many European countries. This article contributes to this debate by investigating how changes in disability may influence both employment outcomes and disability-free life expectancy. Methods: We used data from the European Community Household Panel to estimate the impact of disability incidence on labour supply by country using propensity score techniques. In a second step, we translated the estimated effects of disability incidence into effects on working life expectancy as well as disability-free life expectancy using multi-state life tables. Results: Results from the matching analysis show that individuals who become disabled are more likely to leave the labour market. However, the size of the effect is much weaker than a simple descriptive analysis suggests and varies by country. A 10% decrease in disability incidence results in increases in disability-free life expectancy and working life expectancy of respectively 0.6 and 0.07 years on average. Conclusion: A large part of the differences in employment between disabled and non-disabled individuals is not due to a causal effect of disability on employment. Policies that reduce disability incidence increase disability-free life expectancy but have only a limited impact on working life expectancy.

Background Most health valuation studies assume that individuals’ health valuations do not depend on social comparisons. However, there is some evidence that this assumption is not satisfied in practice. This paper tests whether self-rated health by means of a Visual Analogue Scale (VAS) is related to how one perceives the health of one’s contemporaries, while accounting for one’s health as classified by the EQ-5D classification system. Methods In a large sample (n = 1500), representative of the general public, we use a VAS to rate respondents’ own health and their assessment of their contemporaries’ health. In addition, we directly ask them whether they perceive their health to be better, the same, or worse than their contemporaries, and we measure their own health according to the EQ-5D-5 L. Results We find a positive relationship between own health rating and contemporaries’ health rating, after controlling for the respondents’ own health as classified according to the EQ-5D. Furthermore, we observe a discrepancy between relative health vis-à-vis age peers as measured by an ordinal comparison and relative health as measured by a VAS. Finally, respondents, especially women, tended to overestimate the health of other people of their age. Conclusions We provide evidence that people’s own health rating is related to the perception of health of contemporaries. Our results indicate that knowledge about a respondent’s perception of others’ health is useful in explaining health state valuations.

Health problems may cause decreased productivity among working people. It is unclear if this also applies for people living with HIV (PLWH). This cross-sectional study compares data of PLWH of one of the main HIV treatment centres in the Netherlands (n = 298) to data of the general working population from a previously conducted study (n = 986). We investigate whether productivity at work differs between these groups. The questionnaires used in these studies contained a core of identical questions regarding productivity losses, in the form of absenteeism and presenteeism, over a four-week period and a variety of baseline characteristics, including health status measured with EQ-5D. For PLWH additional clinical data were collected from patient records. From the data, descriptive statistics were computed to characterize the samples. Pearson correlations were used to explore significant associations of productivity with baseline characteristics. A two-part model was used to evaluate both the occurrence and of size of productivity losses in working PLWH and an aggregated sample of PLWH and the general population. It was observed that, on average, total productivity losses do not differ significantly between working PWLH and the general working population, but that the occurrence and size of absenteeism and presenteeism were different. Furthermore, more health problems were associated with higher productivity losses. HIV status was not significantly associated with productivity losses. We conclude that among working people, health status was related to productivity losses but HIV status was not. However, further research is needed into the relation between HIV status and unemployment.

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 ¼ 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 V15.83, and the average WTA value for leisure time was V15.86. The mean WTP value for leisure time was V9.37 when traded against unpaid work, and V9.56 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 V16.

__Introduction__ Increasingly, welfare economic evaluations are used in the context of the allocation of scarce healthcare resources. Many jurisdictions prescribe their use in the context of reimbursement, funding, and/or pricing of new health technologies, especially pharmaceuticals. The fact that the outcomes of such evaluations can infuence actual allocation decisions in healthcare underlines the importance of a sound methodology and an appropriate decision-making process. Fortunately, in both areas progress has been made over the past decades. However, there remains room for further improvement, for instance in fnding appropriate estimates of monetary values of health, developing broader outcome measures than quality-adjusted life-years (QALYs), fnding appropriate equity (principles to estimate) weights for health outcomes, and estimating health opportunity costs.

Common health state valuation methodology, such as time trade-off (TTO) and standard gamble (SG), is typically applied under several descriptively invalid assumptions, for example assuming linear QALYs or expected utility (EU) theory. Hence, health state valuation exercises may lead to biased QALY weights. This bias may in turn affect decisions based on economic evaluations using such weights. Methods have been proposed to correct for these biases associated with different health state valuation techniques. In this paper we outline the relevance of prospect theory (PT), which has become the dominant descriptive alternative to EU, for health state valuations and economic evaluations. We provide an overview of work suggesting a solution for the dependence of QALY weights on the chosen methodology. We label this the corrective approach. By quantifying PT parameters, such as loss aversion, probability weighting and non-linear utility, it may be possible to correct TTO and SG for biases, in an attempt to produce more valid estimates of preferences for health states. Through straightforward examples this paper illustrates the effects of this corrective approach. Several unresolved issues currently limit the relevance of corrected weights for policy, these are listed and suggestions for research addressing these issues are provided. However, if validly corrected weights are available, we argue in favor of a deliberative approach to correcting biased health state valuations, in which policy makers utilize corrected weights. Finally we suggest that loss aversion premium for prevented health losses may be applied when deemed relevant.

Contains fulltext : 190196.pdf (Publisher’s version ) (Closed access) Background: Early identification of the subgroup of patients with major depressive disorder (MDD) in need of highly specialized care could enhance personalized intervention. This, in turn, may reduce the number of treatment steps needed to achieve and sustain an adequate treatment response. The aim of this study was to identify patient‐related indicators that could facilitate the early identification of the subgroup of patients with MDD in need of highly specialized care. Methods: Initial patient indicators were derived from a systematic review. Subsequently, a structured conceptualization methodology known as concept mapping was employed to complement the initial list of indicators by clinical expertise and develop a consensus‐based conceptual framework. Subject‐matter experts were invited to participate in the subsequent steps (brainstorming, sorting, and rating) of the concept mapping process. A final concept map solution was generated using nonmetric multidimensional scaling and agglomerative hierarchical cluster analyses. Results: In total, 67 subject‐matter experts participated in the concept mapping process. The final concept map revealed the following 10 major clusters of indicators: 1‐depression severity, 2‐onset and (treatment) course, 3‐comorbid personality disorder, 4‐comorbid substance use disorder, 5‐other psychiatric comorbidity, 6‐somatic comorbidity, 7‐maladaptive coping, 8‐childhood trauma, 9‐social factors, and 10‐psychosocial dysfunction. Conclusions: The study findings highlight the need for a comprehensive assessment of patient indicators in determining the need for highly specialized care, and suggest that the treatment allocation of patients with MDD to highly specialized mental healthcare settings should be guided by the assessment of clinical and nonclinical patient factors. 7 p.

Background Subjective survival probabilities (SSPs) are considered relevant in relation to lifestyle as lifestyle improvements may improve health and lower mortality risk. Objective To study individuals' SSP in a population of elderly (i.e. 60 years and older) from 15 European countries. Methods Data from the second wave of the Survey of Health, Ageing and Retirement in Europe (SHARE) were used. Individuals were asked about their chances to live up to age [T] or more. These SSPs were related to general characteristics, health and lifestyle. In addition, cross-country comparisons were made. The validity of the probabilistic elicitation format used for collecting SSPs was also addressed. Results The average subjective probability of surviving the next 9–15 years was around 57%. Mean SSPs varied significantly across age, with lower means at higher ages. Cross-country comparisons showed lowest mean in the Czech Republic (42%) and the highest in Denmark (64%). SSPs correlated with socio-demographic, socio-economic and also strongly with (objective) health characteristics except for obesity. Smokers reported significantly lower SSPs compared to non-smokers, but no difference was found between non-smokers and quitters. Excessive alcohol consumers reported significantly higher SSPs than moderate consumers and abstainers, but this only held for female excessive drinkers. Physical inactivity was negatively associated with SSPs, but this relation was attenuated at higher ages. In this context, important cross-country differences were found. Conclusions Subjective survival probabilities are informative and relevant in relation to lifestyle decisions and can be validly obtained in elder people. The results from this study provide interesting implications for health policy, health communication strategies and future research.

When developing guidance on the use of new technologies within the NHS, NICE recommends the use of cost effectiveness. Specifically, an intervention is deemed cost effective by NICE if ‘its health benefits are greater than the opportunity costs of programmes displaced to fund the new technology, in the context of a fixed NHS budget. In other words, the general consequences for the wider group of patients in the NHS are considered alongside the effects for those patients who may directly benefit from the technology.’ We argue that the technical guidelines for health technology assessment used by NICE should change given this definition of cost effectiveness. The point at issue is the handling of “unrelated future medical costs”.

Purpose Systemic family interventions have shown to be effective in adolescents with substance use disorder and delinquent behavior. The interventions target interactions between the adolescent and involved systems (i.e. youth, family, peers, neighbors, school, work, and society). Next to effectiveness considerations, economic aspects have gained attention. However, conventional generic quality of life measures used in health economic evaluations may not be able to capture the broad effects of systemic interventions. This study aims to identify existing outcome measures, which capture the broad effects of systemic family interventions, and allow use in a health economic framework. Methods We based our systematic review on clinical studies in the field. Our goal was to identify effectiveness studies of psychosocial interventions for adolescents with substance use disorder and delinquent behavior and to distill the instruments used in these studies to measure effects. Searched databases were PubMed, Education Resource Information Center (ERIC), Cochrane and Psychnet (PsycBOOKSc, PsycCRITIQUES, print). Identified instruments were ranked according to the number of systems covered (comprehensiveness). In addition, their use for health economic analyses was evaluated according to suitability characteristics such as brevity, accessibility, psychometric properties, etc. Results One thousand three hundred seventy-eight articles were found and screened for eligibility. Eighty articles were selected, 8 instruments were identified covering 5 or more systems. Conclusions The systematic review identified instruments from the clinical field suitable to evaluate systemic family interventions in a health economic framework. None of them had preference-weights available. Hence, a next step could be to attach preference-weights to one of the identified instruments to allow health economic evaluations of systemic family interventions.

Life-saving medical technologies result in additional demand for health care due to increased life expectancy. However, most economic evaluations do not include all medical costs that may result from this additional demand in health care and include only future costs of related illnesses. Although there has been much debate regarding the question to which extent future costs should be included from a societal perspective, the appropriate role of future medical costs in the widely adopted but more narrow healthcare perspective has been neglected. Using a theoretical model, we demonstrate that optimal decision rules for cost-effectiveness analyses assuming fixed healthcare budgets dictate that future costs of both related and unrelated medical care should be included. Practical relevance of including the costs of future unrelated medical care is illustrated using the example of transcatheter aortic valve implantation. Our findings suggest that guidelines should prescribe inclusion of these costs.

Background Subjective expectations regarding future health are rarely studied, yet may have implications for medical decision making, health behaviour and health economic analysis. Objective To study people's subjective expectations regarding length and future quality of life in Hungary and compare these with previous findings from the Netherlands. Methods A cross-sectional survey was performed, using a questionnaire that was put on a highly frequented web journal during 1 day. Main socio-demographic variables and health status of the voluntary participants were registered using the EQ-5D questionnaire. People were asked about the age they expected to live and the health status they expected to have at ages 60, 70, 80 and 90, using the EQ-5D descriptive system. Responses were matched and compared to age- and gender-specific life expectancy data from the Hungarian National Statistics and to age- and gender-specific EQ-5D scores from a prior nationally representative survey in Hungary. Results In total, 9407 people were included in the analysis with mean age of 36.1 (SD 10.6) years, mainly qualified (degree 74.0%), employed (86.0%) men (67.1%). People overestimated their life expectancy (women, 1.6; men, 8.2 years) and expected a sharp deterioration in health at the age 70. Age, current health status, perception of a healthy lifestyle and kins' age at death were important explanatory factors for subjective expectations. Subjective life expectancy correlates strongly with expected future health status. Conclusions The striking similarities between two surveys from distinct nations suggest that people's (mis)expectations regarding length and future quality of life are probably rather generalizable between jurisdictions within Europe.