The COVID-19 pandemic and Black Lives Matter movement have brought ethnic and racial inequalities to the forefront of public conversation on both sides of the Atlantic. However, research shows that people routinely overestimate the progress made towards equality and underestimate disparities between racial and ethnic majority and minority groups. Common among the American public is a naive belief in equal opportunity that stands in sharp contrast to the reality of structural racial inequity. Across the Atlantic, Dutch people’s self-perception of a tolerant, progressive, and egalitarian society means that racism and discrimination are topics often avoided, rendering invisible the stigmatization of ethnic and racial minorities. The result is racism of omission: ethnic and racial disparities are minimized and attributed to factors other than discrimination, which leads to legitimize inequities and justify non-intervention. Against this background, we field an internationally comparative randomized survey experiment to study whether (willful) ignorance about racial and ethnic inequality can be addressed through the provision of information. We find that facts about ethnic and racial inequality, on the whole, (1) have the greatest impact on people’s perceptions of inequality as compared to their explanations of inequality and policy attitudes, (2) register most strongly with majority-group White participants as compared to participants from minority groups, (3) cut across partisan lines, and (4) effect belief change most consistently in the Netherlands, as compared to the United States. We make sense of these findings through the lens of how ‘shocking’ the information provided was to different groups of participants.

This paper offers a framework for measuring global growth and inflation, built on standard index number theory, national accounts principles, and the concepts and methods for international macro-economic comparisons. Our approach provides a sound basis for purchasing power parity (PPP)- and exchange rate (XR)-based global growth and inflation measures. The Sato–Vartia index number system advocated here offers very similar results to a Fisher system but has the added advantage of allowing a complete decomposition with PPP or XR effects. For illustrative purposes, we present estimates of global growth and inflation for 141 countries over the years 2005 and 2011. The contribution of movements in XRs and PPPs to global inflation are presented. The aggregation properties of the method are also discussed.

Despite its benefits for prolonging careers, participation in training is far lower among older employees (age 50+) than among younger employees. This study analyses gender differences in older employees’ training participation. To investigate the predictors of training intensity, we examine two forms of training: formal educational programmes and on-the-job training. The study draws on a novel data-set, the European Sustainable Workforce Survey, carried out in nine European countries in 2015 and 2016, analysing 2,517 older employees and their managers, spread over 228 organisations. We concentrate on the interplay between employees’ gender, managers’ gender and managers’ ageism in shaping older employees’ training participation. Our findings indicate comparable training participation of older men and women in both forms of training, yet older women more often pay for enrolment in educational programmes themselves. Also, predictors of training participation are different. In line with the tenet of ‘gendered ageism’, we find that managerial ageism primarily targets older women, excluding female employees from the training opportunities available to their comparable male colleagues. Finally, female managers are associated with higher training participation rates for older employees, but only for older men. This result supports ‘queen bee’ arguments and runs counter to ‘homophily’ arguments. Overall, the study demonstrates that workplace dynamics and managerial decisions contribute to the reproduction of traditional gender divides in the late career.

Twin pairs discordant for disease may help elucidate the epigenetic mechanisms and causal environmental factors in disease development and progression. To obtain the numbers of pairs, especially monozygotic (MZ) twin pairs, necessary for in-depth studies while also allowing for replication, twin studies worldwide need to pool their resources. The Discordant Twin (DISCOTWIN) consortium was established for this goal. Here, we describe the DISCOTWIN Consortium and present an analysis of type 2 diabetes (T2D) data in nearly 35,000 twin pairs. Seven twin cohorts from Europe (Denmark, Finland, Norway, the Netherlands, Spain, Sweden, and the United Kingdom) and one from Australia investigated the rate of discordance for T2D in same-sex twin pairs aged 45 years and older. Data were available for 34,166 same-sex twin pairs, of which 13,970 were MZ, with T2D diagnosis based on self-reported diagnosis and medication use, fasting glucose and insulin measures, or medical records. The prevalence of T2D ranged from 2.6% to 12.3% across the cohorts depending on age, body mass index (BMI), and national diabetes prevalence. T2D discordance rate was lower for MZ (5.1%, range 2.9–11.2%) than for same-sex dizygotic (DZ) (8.0%, range 4.9–13.5%) pairs. Across DISCOTWIN, 720 discordant MZ pairs were identified. Except for the oldest of the Danish cohorts (mean age 79), heritability estimates based on contingency tables were moderate to high (0.47–0.77). From a meta-analysis of all data, the heritability was estimated at 72% (95% confidence interval 61–78%). This study demonstrated high T2D prevalence and high heritability for T2D liability across twin cohorts. Therefore, the number of discordant MZ pairs for T2D is limited. By combining national resources, the DISCOTWIN Consortium maximizes the number of discordant MZ pairs needed for in-depth genotyping, multi-omics, and phenotyping studies, which may provide unique insights into the pathways linking genes to the development of many diseases.

This study reviews international comparative studies investigating people’s views on inequality. These studies are classified using a framework consisting of three types of conceptions of inequality and two dimensions of inequality. Four perspectives are discussed explaining cross-national differences in views on inequality: the modernist, the culturalist, the micro and the macro perspective. The findings of studies comparing views on inequalities in post-communist and Western states provide more support for the modernist than for the culturalist perspective. Few comparative studies appear to investigate views on inequalities as independent variables impacting on other social attitudes and behaviours. It is argued that the social relevance of the field will be enhanced if more studies can show that views on inequality have an effect on social outcomes complementary to that of objective inequalities.

The OECD International Network on Financial Education has addressed the demand for an internationally comparable measure of financial literacy by developing a financial literacy questionnaire that can be used across a diverse range of countries. This questionnaire takes into account knowledge, behaviours, and attitudes related to personal finance and is designed to identify similarities and differences in levels of financial literacy around the world. It is currently being piloted in 12 countries, with the expectation that the final survey instrument will become a useful tool for policy-makers, academics, and financial education programme designers seeking to identify robust questions to assess financial literacy.

This paper discusses an integrated approach to mental health studies on Financing of Illness (FoI) and health accounting, Cost of Illness (CoI) and Burden of Disease (BoD). In order to expand the mental health policies, the following are suggested: (a) an international consensus on the standard scope, methods to collect and to analyse mental health data, as well as to report comparative information; (b) mathematical models are also to be validated and tested in an integrated approach, (c) a better knowledge transfer between clinicians and knowledge engineers, and between researchers and policy makers to translate economic analysis into practice and health planning.

When developing accessible, affordable and effective mental health systems, exchange of data between countries is an important moving force towards better mental health care. Unfortunately, health information systems in most countries are weak in the field of mental health, and comparability of data is low.

Special international data collection exercises, such as the World Health Organization (WHO) Atlas Project and the WHO Baseline Project have provided valuable insights in the state of mental health systems in countries, but such single-standing data collections are not sustainable solutions. Improvements in routine data collection are urgently needed. The European Commission has initiated major improvements to ensure harmonized and comprehensive health data collection, by introducing the European Community Health Indicators set and the European Health Interview Survey. However, both of these initiatives lack strength in the field of mental health. The neglect of the need for relevant and valid comparable data on mental health systems is in conflict with the importance of mental health for European countries and the objectives of the ‘Europe 2020’ strategy.

The need for valid and comparable mental health services data is today addressed only by single initiatives, such as the Organisation for Economic Co-operation and Development work to establish quality indicators for mental health care. Real leadership in developing harmonized mental health data across Europe is lacking. A European Mental Health Observatory is urgently needed to lead development and implementation of monitoring of mental health and mental health service provision in Europe.

Currently in Australia there is much activity and expenditure in a field broadly defined as ‘Indigenous education’. However, there is little by way of rigorous research that has compared and evaluated different approaches. This article draws together the existing international evidence to develop a set of best-practice components for Indigenous education. The author intends for these components to provide practical guidance for program developers who may currently be developing programs without the benefit of an existing evidence base, while also acknowledging the need to expand the evidence base and continue to refine this set of components to maximise their utility.

Objectives: The aim of this study was to present and illustrate an instrument to measure the level of innovation at country level.

Methods: The data used are the Organisation for Economic Co-operation and Development (OECD) health data 2009, in particular the information on use of medical technology. Two composite scales expressing a relative level of adoption of innovations in health care are regressed, using multilevel regression analysis, on country characteristics. The country characteristics are selected as proxies on availability or scarcity of resources in a country. We expect that scarcity will promote adoption of innovations that enhance efficiency, and that availability of resources will promote advanced, expensive innovations.

Results: Two scales were constructed. One scale indicates the use of efficiency-enhancing innovations (day case treatment), and the other scale indicates availability of advanced technical innovations. The application of day case treatment is significantly associated with education level (+), the ratio of people aged 15–64 versus younger and older people (+) and the number of hospital beds (−). Availability of advanced medical devices are associated with the expenditure on health (+), demographic dependency (−), number of hospital beds (+), and the annual reduction of hospital beds (−).

Conclusions: Diffusion of innovations is influenced by characteristics of the country and of the healthcare system; fewer resources encourage diffusion of innovations that enhance efficiency and more resources encourage diffusion of complex, expensive devices. This indicates that decisions by healthcare professionals on which innovation to adopt is embedded in a context that is influenced and shaped by the availability of resources on macro level.

Western societies are experiencing a dramatic growth in the population aged 75 and older. Changes in family composition raise questions about who will care for those who need assistance. We compared population projections to the year 2030 of those families aged 75 and older in Canada and France. Over the next 25 years, the pool of potential family carers, (i.e., spouses and children), will broaden from the effect of the baby boom and increased proportion of women with spouses. The populations most dependent on formal care, with no potential support from a child or a spouse, will increase more sharply in Canada (123%) than in France (34%) but at a slower rate than the total population. Policy and programs in both countries will need to prepare for a greater number of elderly spouses providing care and in Canada, at least, a significant increase in the number that will need to rely on formal services.

Two body condition scoring systems were compared for assessing body condition of cows at the Scottish Agricultural College's Crichton Royal Farm. The weekly body condition scores (BCS) were collected for a period of 12 weeks (5 September–21 November). Scores were obtained using the primary systems utilized within the UK and USA. The USBCS were obtained by the same evaluator each week, while the UKBCS were obtained by two different evaluators alternating between weeks. Paired scores (n=2088) between the two systems within week were moderately correlated (r=0·75, P<0·0001). Regression equations to convert scores between the two systems were created using the GLM procedure of SAS (SAS Institute Inc., Cary NC, USA). The simple GLM models to convert from UK to US scores and US to UK scores were USBCS=1·182+0·816 * UKBCS (R2=0·56) and UKBCS=0·131+0·681 (R2=0·56), respectively. These equations may be used to interpret scores within the literature obtained using these two BCS systems, although they must be used with caution.