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Background The European Union has used Healthy Life Years (HLY) as an indicator to monitor the health of its aging populations. Scholarly and popular interest in HLY across countries has grown, particularly regarding the ranking of countries. It is important to note that HLY is based on self-assessments of activity limitations, raising the possibility that it might be influenced by differences in health reporting behaviours between populations, a phenomenon known as differential item functioning (DIF). Methods We estimated DIF-adjusted HLY at age 50 for Belgium, France, Germany, Greece, Italy, the Netherlands, Spain, and Sweden to determine the extent to which differences in HLY might be influenced by reporting heterogeneity across countries. We used anchoring vignettes, taken from the 2004 Survey of Health, Ageing and Retirement in Europe, to estimate DIF-adjusted prevalence rates of activity limitations measured by the Global Activity Limitations Indicator (GALI). The Sullivan method was used to calculate DIF-adjusted HLY. Results Changes in HLY before and after adjustment ranged from a 1.20-year decrease for men in Italy to a 1.61-year increase for women in Spain. Adjustment for DIF produced changes in the rankings of the countries by HLY, with upward and downward movements of up to three positions. Conclusion Our results show that DIF is likely to affect HLY estimates, thereby posing a challenge to the validity of comparisons of HLY across European countries. The findings suggest that HLY should be used to monitor population health status within a country, rather than to make comparisons across countries. [ABSTRACT FROM AUTHOR]

Background In Europe, more than 15 million people live with heart failure (HF). It imposes an enormous social, organizational and economic burden. As a reaction to impending impact on healthcare provision, different country-specific structures for HF-care have been established. The aim of this report is to provide an overview and compare the HF-care approaches of Germany, Ireland, the Netherlands and the UK, and to open the possibility of learning from each other's experience. Methods A mixed methods approach was implemented that included a literature analysis, interviews and questionnaires with HF-patients and caregivers, and expert interviews with representatives from healthcare, health service research and medical informatics. Results The models of HF-care in all countries analyzed are based on the European Society of Cardiology guidelines for diagnosis and treatment of HF. Even though the HF-models differed in design and implementation in practice, key challenges were similar: (i) unequal distribution of care between urban and rural areas, (ii) long waiting times, (iii) unequal access to and provision of healthcare services, (iv) information and communication gaps and (v) inadequate implementation and financing of digital applications. Conclusion Although promising approaches exist to structure and improve HF-care, across the four countries, implementation was reluctant to embrace novel methods. A lack of financial resources and insufficient digitalization making it difficult to adopt new concepts. Integration of HF-nurses seems to be an effective way of improving current models of HF-care. Digital solutions offer further opportunities to overcome communication and coordination gaps and to strengthen self-management skills. [ABSTRACT FROM AUTHOR]

Background Tobacco-control policies have been suggested to reduce smoking among adolescents. However, there is limited evidence on the real-world costs of implementation in different settings. In this study, we aimed at estimating the costs of school smoking bans, school prevention programmes and non-school bans (smoking bans in non-educational public settings, bans on sales to minors and bans on point-of-sale advertising), implemented in Finland, Ireland, the Netherlands, Belgium, Germany, Italy and Portugal, for 2016. Methods We retrospectively collected costs related to the inspection, monitoring and sanctioning activities related to bans and educational activities related to smoking prevention programmes. We used an 'ingredients-based' approach, identifying each resource used, quantity and unit value for one full year, under the state perspective. Costs were measured at national, regional, local and school-level and were informed by data on how these activities were performed in reality. Results Purchasing power parities adjusted-costs varied between €0.02 and €0.74 (average €0.24) per person (pp) for bans implemented outside schools. Mean costs of school smoking bans ranged from €3.31 to €34.76 (average €20.60), and mean costs of school educational programmes from €0.75 to €4.65 (average €2.92). Conclusions It is feasible to estimate costs of health policies as implemented in different settings. Costs of the tobacco control policies evaluated here depend mainly on the number of person-hours allocated to their implementation, and on the scale of intervention. Non-school bans presented the lowest costs, and the implementation of all policies cost up to €36 pp for 1 year. [ABSTRACT FROM AUTHOR]

Background Decreasing gender differences in mental health are found largely in countries in which the roles of men and women have improved in terms of opportunities for employment, education, child care and other indicators of increasing gender equality. In this study, we examine how European welfare regimes influence this association between mental health and the social roles that men and women occupy. Methods The EU-World Mental Health data are used, which covers the general population in 10 European countries (n = 37 289); Countries were grouped into four welfare regions: Liberal regime (Northern Ireland), Bismarckian regime (Belgium, Germany, the Netherlands and France), Southern regime (Spain, Italy, Portugal) and Central-Eastern regime (Romania and Bulgaria). The lifetime prevalence of mood, anxiety and alcohol disorders was determined by using the Composite International Diagnostic Interview 3.0. Overall prevalence rates along with odds ratios by means of bivariate logistic regression models are calculated to compare the presence of common mental disorders in women versus men per welfare regime. Results Overall prevalence of common mental disorders is highest in the Liberal regime and lowest in the Central/Eastern regime. The gender gap in mental disorders is largest in the Southern regime and smallest in the Liberal regime. Marital status and certain employment positions help to explain variation in mental disorders across and within welfare regimes. Conclusion Most prominent pathways linking gender to mental ill-health being are related to marital status and certain employment positions. However, these pathways also show substantial variation across welfare regimes. [ABSTRACT FROM AUTHOR]

Background The article examines gender differences in happy life expectancy at age 50 (LE50) and computes the age-specific contributions of mortality and happiness effects to gender differences in happy LE50 in 16 European countries. Methods Abridged life tables and happy LE50 were calculated using conventional life tables and Sullivan's method. Age-specific death rates were calculated from deaths and population exposures in the Human Mortality Database. Happiness prevalence was estimated using the 2010–11 Survey of Health, Ageing and Retirement in Europe. Happiness was defined using a single question about life satisfaction on a scale of 0–10. A decomposition algorithm was applied to estimate the exact contributions of the differences in mortality and happiness to the overall gender gap in happy LE50. Results Gender differences in happy LE50 favour women in all countries except Portugal (0.43 years in Italy and 3.55 years in Slovenia). Generally, the contribution of the gender gap in happiness prevalence is smaller than the one in mortality. The male advantage in the prevalence of happiness partially offsets the effects of the female advantage in mortality on the total gender gap in happy LE50. Gender differences in unhappy life years make up the greatest share of the gender gap in total LE50 in all countries except Denmark, Germany, Netherlands, Slovenia and Sweden. Conclusion Countries with the largest gender gap in LE are not necessarily the countries with larger differences in happy LE50. The remaining years of life of women are expected to be spent not only in unhealthy but also in unhappy state. [ABSTRACT FROM AUTHOR]

Background: Support for smoke-free policies increases over time and particularly after implementation of the policy. In this study we examined whether the comprehensiveness of such policies moderates the effect on support among smokers. Methods: We analysed two waves (pre- and post-smoke-free legislation) of the International Tobacco Control (ITC) surveys in France, Germany, and the Netherlands, and two pre-legislation waves of the ITC surveys in UK as control. Of 6,903 baseline smokers, 4,945 (71.6%) could be followed up and were included in the analyses. Generalised Estimating Equations (GEE) were used to compare changes in support from pre- to post-legislation to the secular trend in the control country. Multiple logistic regression models were employed to identify predictors of individual change in support. Findings: In France, the comprehensive smoking ban was associated with sharp increases in support for a total smoking ban in drinking establishments and restaurants that were above secular trends. In Germany and the Netherlands, where smoke-free policies and compliance are especially deficient in drinking establishments, only support for a total smoking ban in restaurants increased above the secular trend. Notable prospective predictors of becoming supportive of smoking bans in these countries were higher awareness of cigarette smoke being dangerous to others and weekly visiting of restaurants. Conclusions: Our findings suggest that smoke-free policies have the potential to improve support once the policy is in place. This effect seems to be most pronounced with comprehensive smoking bans, which thus might be the most valid option for policy-makers despite their potential for creating controversy and resistance in the beginning. [ABSTRACT FROM AUTHOR]

Background: As exposure to tobacco smoke pollution (TSP) has been identified as a cause of premature death and disease in non-smokers, and studies have demonstrated that smoking in cars produces high levels of TSP, this study will investigate smokers’ rules for smoking in their cars, and predictors of car smoking rules, including potentially modifiable correlates. Methods: Data were drawn from nationally representative samples of current smokers from the International Tobacco Control Policy Evaluation Project surveys in France (2007), Germany (2007), and the Netherlands (2008). Smokers in France and Germany were asked about smoking rules in their cars, and smokers in the Netherlands were asked about smoking rules in cars carrying children. Results: In France and Germany, 59% and 52% of smokers respectively, allowed smoking in their cars. In the Netherlands, 36% of smokers allowed smoking in cars carrying children. Predictors of allowing smoking in cars included: being a daily vs. non-daily smoker, being younger vs. older age, having no (young) children in the home, being a heavier smoker, and allowing smoking in the home. In the Netherlands, smokers who agreed that TSP is dangerous to non-smokers were less likely to allow smoking in cars carrying children. Conclusion: Overall, a sizeable proportion of smokers allowed smoking in their cars across the three countries. Media campaigns with information about the dangers of TSP may increase the adoption of smoke-free cars. These media campaigns could target smokers who are most likely to allow smoking in cars. [ABSTRACT FROM AUTHOR]

In the Eastern region of the Netherlands and the adjoining German region a survey on alcohol and cannabis consumption was conducted in order to trace differences and to explore to what extent these differences should be attributed to specific national determinants. The reason for initiating the study was the differences between both countries with regard to drug policies, which proved to be an obstacle for bordercrossing cooperation. A stepwise regression analysis at the individual level was applied in the German and Dutch samples separately, to determine the sets of variables associated with the substance use for each country. It is concluded that variances in substance use within and between both countries are mainly attributed to lifestyle characteristics which vary considerably within both countries. The higher prevalence of drunkenness in Germany and of cannabis use among Dutch adolescents, largely has to be attributed to an unequal distribution of these determinants in the countries. The possible impact of national regulations on the patterns of substance use is discussed. [ABSTRACT FROM AUTHOR]