European Journal of Health Economics最新文献

Faced with an unprecedented demand for long-term care, European health care systems are moving towards mixed care models, where the welfare state and informal caregivers share care responsibilities. While informal care is often viewed as a means of alleviating pressure on public care, it comes with significant economic costs for caregivers, their employers, and society at large. This study uses nationally representative data to estimate the total direct (informal care time and out-of-pocket costs) and indirect (productivity) economic costs of informal care in the Netherlands in 2019. Informal care time costs are estimated using the opportunity cost and the proxy good methods. Indirect costs are estimated using the human capital and friction cost approaches. Our results reveal the considerable annual societal cost of informal care in the Netherlands, ranging between €17.5 billion and €30.1 billion, depending on the valuation approach. These costs are equivalent to 2.15% and 3.71% of Dutch GDP in 2019, comparable to the public expenditure on long-term care in that year. Female caregivers account for slightly more than half (53%-57%) of the total costs. Around 57%-88% of these costs are in the form of informal care time. The main driver of indirect costs is the temporary cessation of work, which comprises 12%-17% of the total costs. Findings corroborate that substantial resources, yet thus far largely disregarded, are spent on informal care even in a country with a relatively generous public long-term care system.

Aim: This paper reports the first estimation of an SF-6D value set based on the SF-12 for Spain.

Methods: A representative sample (n = 1020) of the Spanish general population valued a selection of 56 hypothetical SF-6D health states by means of a probability lottery equivalent (PLE) method. The value set was derived using both random effects and mean models estimated by ordinary least squares (OLS). The best model was chosen on the basis of its predictive ability assessed in terms of mean absolute error (MAE).

Results: The model yielding the lowest MAE (0.075) was that based on main effects using OLS. Pain was the most significant dimension in predicting health state severity. Comparison with the previous SF-6D (SF-36) model estimated for Spain revealed no significant differences, with a similar MAE (0.081). Nevertheless, the new SF-6D (SF-12) model predicted higher utilities than those generated by the SF-6D (SF-36) scoring algorithm (minimum value - 0.071 vs - 0.357).

Conclusion: A value set for the SF-6D (SF-12) based on Spanish general population preferences elicited by means of a PLE technique is successfully estimated. The new estimated SF-6D (SF-12) preference-based measure provides a valuable tool for researchers and policymakers to assess the cost-effectiveness of new health technologies in Spain.

Objective: This study aimed to evaluate the measurement properties of EQ-5D-5 L, SF-6Dv2, QLU-C10D, and FACT-8D in survivors of Classical Hodgkin's Lymphoma (CHL).

Methods: A cross-sectional, web-based survey was conducted from May to August 2022 to collect data. Chinese value sets were used to estimate the utility scores for EQ-5D-5 L, SF-6Dv2, and QLU-C10D, while the Australian value set was used for FACT-8D. The measurement properties assessed included ceiling and floor effects, convergent validity (assessing associations between similar dimensions/utility scores using Spearman's rank correlation and intraclass correlation coefficient), and known-group validity (measures could differentiate health-related quality of life (HRQoL) between risk groups).

Results: A total of 534 CHL survivors participated in the survey and completed the questionnaire. All dimensions of EQ-5D-5 L, SF-6D (except for vitality), QLU-C10D, and FACT-8D showed ceiling effects, ranging from 18 to 91.6%. The EQ-5D-5 L demonstrated the higher ceiling effects compared to other measures, with 33% of patients reporting full health on this scale. All 30 pairs of associations between similar dimensions from the four measures were statistically significant, with correlation coefficients ranging from 0.29 to 0.77. Regarding utility scores, the EQ-5D-5 L utility score showed a stronger correlation with SF-6Dv2 than with the other two measures. Statistically significant correlations of utility scores between the four measures were observed. EQ-5D-5 L can significantly differentiate HRQoL among all known-groups, while SF-6Dv2, QLU-C10D, and FACT-8D showed a less strong discriminant ability.

Conclusions: EQ-5D-5 L outperformed SF-6Dv2 in terms of agreement with cancer-specific PRMs and discriminant ability. However, SF-6Dv2 showed stronger associations with similar dimensions of QLU-C10D and FACT-8D, indicating high convergent validity. The generic PBMs are sensitive enough to measure HRQoL in survivors of CHL.

Adopting a societal perspective in cost-effectiveness analysis (CEA) requires including all societal costs and benefits even if they fall outside of the realm of health and healthcare. While some benefits are not explicitly included, they might be implicitly included when people value quality-adjusted life-years (QALYs) in monetary terms. An example is utility of consumption (UoC) which has played a crucial role in discussions regarding the welfare economic underpinnings of CEA. This study investigates whether people consider elements beyond health when valuing QALYs monetarily and the influence of inclusion on this value. A Willingness to Pay (WTP) experiment was administered among the general public in which people were asked to assign monetary values to QALYs. Our results show that (stated) UoC increases with quality of life but that instructing people to consider UoC does not impact their monetary valuation of the QALY. Furthermore, many respondents consider elements beyond health when valuing QALYs but the impact on the monetary value of a QALY is limited. These findings suggest that these elements are currently not (adequately) captured in CEA. Findings also illustrate that it is difficult to isolate health from non-health benefits and to consistently capture these in CEA. With that, reconciling CEA with welfare economics remains challenging.

This paper examines to what extent consumer inertia can reduce adverse selection in health insurance markets. To this end, we investigate consumer choice of deductible in the Dutch health insurance market over the period 2013-2018, using panel data based on a large random sample (266 k) of all insured individuals in the Netherlands. The Dutch health insurance market offers a unique setting for studying adverse selection, because during annual open enrollment periods all adults are free to choose an extra deductible up to 500 euro per year. By focusing on deductible choices of those who do not switch health plans, we are able to examine the 'pure' adverse selection effect (i.e., not distorted by other health plan attributes). We estimate a dynamic logit model to examine individuals' deductible choice. We find evidence of adverse selection, as people with higher previous health care cost are substantially less likely to take up or keep a 500-euro deductible. We also find that adverse selection is counteracted by a high level of consumer inertia, as the average partial effect on deductible choice of the previous selected deductible level is much larger than the average partial effect of a change in health care costs.

Objective: This study utilized the EQ-5D-Y and the Child Health Utility 9D (CHU-9D) instruments to empirically investigate a general child population aged 7-8 years in China, with the aim of assessing and comparing the performance, correlation, and agreement between these two instruments. Both self-reported and proxy-reported versions of the instruments were considered in the analysis.

Methods: Data were collected from 7-8-year-old students in the second grade from four schools in Guangxi and Guiyang provinces, China. Children and their proxies independently completed their respective versions of the questionnaires, including the EQ-5D-Y, the CHU-9D, and other socio-demographic information. The psychometric properties of the EQ-5D-Y and the CHU-9D were assessed, including ceiling effects, internal consistency, and known-group validity. Spearman's correlation coefficient, Intraclass Correlation Coefficient (ICC), and Bland-Altman plots were calculated and plotted to assess the correlation and agreement between the EQ-5D-Y and CHU-9D.

Results: A total of 369 pairs of valid questionnaires were collected from both children and proxies. Due to the study's focus on a general child population, both EQ-5D-Y and CHU-9D yielded high utility values, with a significant ceiling effect observed, particularly in the EQ-5D-Y proxy-reported results. Compared to the EQ-5D-Y, the CHU-9D demonstrated a higher Cronbach's alpha coefficient and better internal consistency. Both instruments also demonstrated known-group validity, distinguishing different health status groups, except for EQ-5D-Y proxy-reported results. Spearman's correlation coefficient indicated some correlations in similar dimensions and utility values between the EQ-5D-Y and CHU-9D. The ICC of the EQ-5D-Y and CHU-9D utility values was 0.290 for self-reports and 0.383 for proxy-reports, indicating poor agreement between the two instruments. The Bland-Altman plots showed that the mean utility values obtained from EQ-5D-Y were significantly higher than those from CHU-9D.

Conclusion: The EQ-5D-Y and the CHU-9D demonstrated acceptable performance within the general child population aged 7-8 years in China, except for the EQ-5D-Y proxy-reported version. It suffered from a notable ceiling effect, poor internal consistency, as well as weak known-group validity and discriminative ability. Moreover, although there existed a certain degree of correlation between the EQ-5D-Y and CHU-9D, their utility values exhibited significant differences. Therefore, these instruments are not interchangeable in practice.

Unwanted loneliness negatively affects people's health and quality of life, increasing morbidity and the risk of premature death; this situation can generate major social costs. The aim of this study is to estimate the social costs of loneliness in Spain for 2021: both tangible costs -monetary value of health costs and production losses- and intangible costs -Quality Adjusted Life Years (QALYs). To estimate costs not derived from mortality, information from a sample of 400 people with unwanted loneliness was compared with that derived from two samples of the general population obtained from the Spanish National Health Surveys. To estimate the costs associated with premature deaths, the population attributable fraction was calculated using the relative risks estimated in previous survival studies. In the baseline scenario, the tangible costs of unwanted loneliness are estimated to be around 14,129 million euros in 2021, representing 1.2% of Spain's GDP. Approximately 56.8% of the tangible costs correspond to production losses due to reduced working time, and 43.2% are due to healthcare costs related with increased consultation frequency in healthcare services and higher consumption of medicines related to loneliness. In addition, loneliness generates a reduction in quality of life equivalent to 1.04 million QALYs, which corresponds to 2.8% of the total stock of QALYs of the Spanish population over 15 years of age.

Objectives: We aim to compare the measurement properties of three indirect (EQ-5D-5L, PROPr, SF-6D) and one direct (time trade-off, TTO) utility assessment methods in patients with chronic skin diseases.

Methods: 120 patients with physician-diagnosed chronic skin diseases (psoriasis 39%, atopic dermatitis 27%, acne 19%) completed a cross-sectional survey. Respondents completed the EQ-5D-5L, PROMIS-29+2 and SF-36v1 questionnaires and a 10-year TTO task for own current health. Utilities were computed using the US value sets. Ceiling, convergent and known-group validity were compared across the utilities derived with these four methods. Known-groups were defined based on general, physical and mental health. The agreement between utilities was assessed using intraclass correlation coefficients (ICC).

Results: Mean utilities for the EQ-5D-5L, PROPr, SF-6D and TTO were 0.79, 0.47, 0.76 and 0.89. In corresponding order, the ceiling was 28%, 0%, 2% and 65%. The SF-6D showed excellent agreement with the EQ-5D-5L (ICC = 0.770). PROPr demonstrated poor agreement with the EQ-5D-5L (ICC = 0.381) and fair with SF-6D utilities (ICC = 0.445). TTO utilities showed poor agreement with indirectly assessed utilities (ICC = 0.058-0.242). The EQ-5D-5L better discriminated between known groups of general and physical health, while the SF-6D and PROPr outperformed the EQ-5D-5L for mental health problems.

Conclusion: There is a great variability in utilities across the four methods in patients with chronic skin conditions. The EQ-5D-5L, despite its higher ceiling, appears to be the most efficient in discriminating between patient groups for physical health aspects. Our findings inform the choice of instrument for quality-adjusted life year calculations in cost-utility analyses.