891 research outputs found
Trends in mortality by labour market position around retirement ages in three European countries with different welfare regimes
<p>Objectives: In the face of economic downturn and increasing life expectancy, many industrial nations are adopting a policy of postponing the retirement age. However, questions still remain around the consequence of working longer into old age. We examine mortality by work status around retirement ages in countries with different welfare regimes; Finland (social democratic), Turin (Italy; conservative), and England and Wales (liberal).</p>
<p>Methods: Death rates and rate ratios (RRs) (reference rates = ‘in-work’), 1970 s–2000 s, were estimated for those aged 45–64 years using the England and Wales longitudinal study, Turin longitudinal study, and the Finnish linked register study.</p>
<p>Results: Mortality of the not-in-work was consistently higher than the in-work. Death rates for the not-in-work were lowest in Turin and highest in Finland. Rate ratios were smallest in Turin (RR men 1972–76 1.73; 2002–06 1.63; women 1.22; 1.68) and largest in Finland (RR men 1991–95 3.03; 2001–05 3.80; women 3.62; 4.11). Unlike RRs for men, RRs for women increased in every country (greatest in Finland).</p>
<p>Conclusions: These findings signal that overall, employment in later life is associated with lower mortality, regardless of welfare regime.</p>
Social differences in health care utilisation and costs in the Netherlands 2003
Within the Netherlands, there are substantial social inequalities in care consumption and health care costs. People differ in terms of their use of care facilities. This is influenced by factors such as their socio-economic position, mode of cohabitation and country of origin. The present study reveals that this effect is even more pronounced than previous research has indicated. Social inequalities were identified in the use of virtually all types of care facilities. These inequalities are also substantial when translated into health care costs. In terms of costs per resident, it is estimated that individuals with an HBO qualification (professionally oriented higher education) or a university degree are 11% below the national average, while those who only received a primary-school education are 21% above that level. The average care costs of widowed individuals and divorcees are 31% and 48% above the national average, respectively. Conversely, the cost of care for people of non-Western origin are relatively low, but they are still 15% above the national average. It is worth noting that the same percentage applies to non-indigenous individuals of Western (mainly European) origin. The main reason for this is that lower socio-economic groups have more health problems. So, this study concludes that each euro spent on health care generally ends up in the right place, i.e. where there is the greatest need for care. This underscores the enormous importance of risk solidarity in the Dutch health service. This study also illustrate the fact that combating health deprivation can help us to manage the level of care expenditure in the Netherlands.Ieder jaar wordt in Nederland veel geld uitgegeven aan de gezondheidszorg. In 2003 ging het om een bedrag van 57,5 miljard euro. De serie Zorg voor euro's beschrijft waaraan dit geld werd uitgegeven, hoeveel gezondheid we ervoor hebben teruggekregen en ook hoe de zorguitgaven zich in de toekomst zullen ontwikkelen. Dit rapport laat in detail zien hoe gebruik en kosten van zorg in Nederland samenhangen met de sociaal-economische positie, de samenlevingsvorm en het land van herkomst van mensen. Zo blijkt dat mensen uit lagere sociaal-economische groepen aanzienlijk meer zorg gebruiken dan mensen uit andere groepen. Dit verschil komt vooral doordat mensen in lagere sociaal-economische groepen meer gezondheidsproblemen hebben. Tegelijkertijd blijken mensen uit deze groepen bij ziekte ook langer beroep te doen op zorgvoorzieningen. Dit betekent dat de bestrijding van gezondheidsachterstanden een bijdrage kan leveren aan de beheersing van de zorguitgaven
Measuring health inequality among children in developing countries: does the choice of the indicator of economic status matter?
Background
Currently, poor-rich inequalities in health in developing countries receive a lot of attention from both researchers and policy makers. Since measuring economic status in developing countries is often problematic, different indicators of wealth are used in different studies. Until now, there is a lack of evidence on the extent to which the use of different measures of economic status affects the observed magnitude of health inequalities.
Methods
This paper provides this empirical evidence for 10 developing countries, using the Demographic and Health Surveys data-set. We compared the World Bank asset index to three alternative wealth indices, all based on household assets. Under-5 mortality and measles immunisation coverage were the health outcomes studied. Poor-rich inequalities in under-5 mortality and measles immunisation coverage were measured using the Relative Index of Inequality.
Results
Comparing the World Bank index to the alternative indices, we found that (1) the relative position of households in the national wealth hierarchy varied to an important extent with the asset index used, (2) observed poor-rich inequalities in under-5 mortality and immunisation coverage often changed, in some cases to an important extent, and that (3) the size and direction of this change varied per country, index, and health indicator.
Conclusion
Researchers and policy makers should be aware that the choice of the measure of economic status influences the observed magnitude of health inequalities, and that differences in health inequalities between countries or time periods, may be an artefact of different wealth measures used
Sharp upturn of life expectancy in the Netherlands: effect of more health care for the elderly?
During the 1980s and 1990s life expectancy at birth has risen only slowly in the Netherlands. In 2002, however, the rise in life expectancy suddenly accelerated. We studied the possible causes of this remarkable development. Mortality data by age, gender and cause of death were analyzed using life table methods and age-period-cohort modeling. Trends in determinants of mortality (including health care delivery) were compared with trends in mortality. Two-thirds of the increase in life expectancy at birth since 2002 were due to declines in mortality among those aged 65 and over. Declines in mortality reflected a period rather than a cohort effect, and were seen for a wide range of causes of death. Favorable changes in mortality determinants coinciding with the acceleration of mortality decline were mainly seen within the health care system. Health care expenditure rose rapidly after 2001, and was accompanied by a sharp rise of specialist visits, drug prescriptions, hospital admissions and surgical procedures among the elderly. A decline of deaths following non-treatment decisions suggests a change towards more active treatment of elderly patients. Our findings are consistent with the idea that the sharp upturn of life expectancy in the Netherlands was at least partly due to a sharp increase in health care for the elderly, and has been facilitated by a relaxation of budgetary constraints in the health care system
Using relative and absolute measures for monitoring health inequalities: experiences from cross-national analyses on maternal and child health
Background. As reducing socio-economic inequalities in health is an important public health objective, monitoring of these inequalities is an important public health task. The specific inequality measure used can influence the conclusions drawn, and there is no consensus on which measure is most meaningful. The key issue raising most debate is whether to use relative or absolute inequality measures. Our paper aims to inform this debate and develop recommendations for monitoring health inequalities on the basis of empirical analyses for a broad range of developing countries. Methods. Wealth-group specific data on under-5 mortality, immunisation coverage, antenatal and delivery care for 43 countries were obtained from the Demographic and Health Surveys. These data were used to describe the association between the overall level of these outcomes on the one hand, and relative and absolute poor-rich inequalities in these outcomes on the other. Results. We demonstrate that the values that the absolute and relative inequality measures can take are bound by mathematical ceilings. Yet, even where these ceilings do not play a role, the magnitude of inequality is correlated with the overall level of the outcome. The observed tendencies are, however, not necessities. There are countries with low mortality levels and low relative inequalities. Also absolute inequalities showed variation at most overall levels. Conclusion. Our study shows that both absolute and relative inequality measures can be meaningful for monitoring inequalities, provided that the overall level of the outcome is taken into account. Suggestions are given on how to do this. In addition, our paper presents data that can be used for benchmarking of inequalities in the field of maternal and child health in low and middle-income countries
Psychosocial functioning and intelligence both partly explain socioeconomic inequalities in premature death. A population-based male cohort study
The possible contributions of psychosocial functioning and intelligence differences to socioeconomic status (SES)-related inequalities in premature death were investigated. None of the previous studies focusing on inequalities in mortality has included measures of both psychosocial functioning and intelligence.The study was based on a cohort of 49 321 men born 1949-1951 from the general community in Sweden. Data on psychosocial functioning and intelligence from military conscription at ∼18 years of age were linked with register data on education, occupational class, and income at 35-39 years of age. Psychosocial functioning was rated by psychologists as a summary measure of differences in level of activity, power of initiative, independence, and emotional stability. Intelligence was measured through a multidimensional test. Causes of death between 40 and 57 years of age were followed in registers.The estimated inequalities in all-cause mortality by education and occupational class were attenuated with 32% (95% confidence interval: 20-45%) and 41% (29-52%) after adjustments for individual psychological differences; both psychosocial functioning and intelligence contributed to account for the inequalities. The inequalities in cardiovascular and injury mortality were attenuated by as much as 51% (24-76%) and 52% (35-68%) after the same adjustments, and the inequalities in alcohol-related mortality were attenuated by up to 33% (8-59%). Less of the inequalities were accounted for when those were measured by level of income, with which intelligence had a weaker correlation. The small SES-related inequalities in cancer mortality were not attenuated by adjustment for intelligence.Differences in psychosocial functioning and intelligence might both contribute to the explanation of observed SES-related inequalities in premature death, but the magnitude of their contributions likely varies with measure of socioeconomic status and cause of death. Both psychosocial functioning and intelligence should be considered in future studies
Amenable mortality in the EU-has the crisis changed its course?
Background: Did the global financial crisis and its aftermath impact upon the performance of health systems in Europe? We investigated trends in amenable and other mortality in the EU since 2000 across 28 EU countries. Methods: We use WHO detailed mortality files from 28 EU countries to calculate age-standardized deaths rates from amenable and other causes. We then use joinpoint regression to analyse trends in mortality before and after the onset of the economic crisis in Europe in 2008. Results: Amenable and other mortality have declined in the EU since 2000, albeit faster for amenable mortality. We observed increases in amenable mortality following the global financial crisis for females in Estonia [from -4.53 annual percentage change (APC) in 2005-12 to 0.03 APC in 2012-14] and Slovenia (from -4.22 APC in 2000-13 to 0.73 in 2013-15) as well as males and females in Greece(males: from -2.93 APC in 2000-10 to 0.01 APC in 2010-13; females: from -3.48 APC in 2000-10 to 0.06 APC in 2010-13). Other mortality continued to decline for these populations. Increases in deaths from infectious diseases before and after the crisis played a substantial part in reversals in Estonia, Slovenia and Greece. Conclusion: There is evidence that amenable mortality rose in Greece and, among females in Estonia and Slovenia. However, in most countries, trends in amenable mortality rates appeared to be unaffected by the crisis
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