Amenable mortality in the EU-has the crisis changed its course?

The contribution of avoidable mortality to life expectancy differences and lifespan disparities in the European Union: a population-based study

Background

Twenty years after the 2004 European Union (EU) enlargement, life expectancy differences between established (EMS) and new member states (NMS) remain large. Contributing to this gap are deaths that can be avoided through preventive services or adequate medical treatment. We estimate the impact of reducing avoidable mortality on life expectancy and lifespan disparities in the enlarged EU.

Methods

Using World Health Organization mortality database data, we analysed the potential of reducing avoidable mortality, as defined by Eurostat and the Organisation for Economic Cooperation and Development, to close the mortality gap between NMS and EMS. We decomposed the changes in life expectancy and lifespan disparity by age and cause using linear integral decomposition.

Findings

Averting all avoidable deaths across the EU from 2005 to 2019 would decrease the average life expectancy gap from 5.8 to 2.4 years in men and 3.3-2 years in women and eliminate the lifespan disparity gap. Had NMS achieved the average EMS avoidable mortality rates during the same period, the average life expectancy gap would have been reduced to 1.8 years in men and 1.6 years in women, and the lifespan disparities gap would have been reversed. Avoidable circulatory and injury-related deaths in middle and older age drove the observed mortality changes.

Interpretation

Our results suggest that the gap in life expectancy and lifespan disparity across the EU could be reduced by strengthening health systems and investing in averting circulatory and injury-related deaths in middle and older age in NMS.

Funding

None.

Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

BACKGROUND

Health-care needs change throughout the life course. It is thus crucial to assess whether health systems provide access to quality health care for all ages. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019), we measured the Healthcare Access and Quality (HAQ) Index overall and for select age groups in 204 locations from 1990 to 2019.

METHODS

We distinguished the overall HAQ Index (ages 0-74 years) from scores for select age groups: the young (ages 0-14 years), working (ages 15-64 years), and post-working (ages 65-74 years) groups. For GBD 2019, HAQ Index construction methods were updated to use the arithmetic mean of scaled mortality-to-incidence ratios (MIRs) and risk-standardised death rates (RSDRs) for 32 causes of death that should not occur in the presence of timely, quality health care. Across locations and years, MIRs and RSDRs were scaled from 0 (worst) to 100 (best) separately, putting the HAQ Index on a different relative scale for each age group. We estimated absolute convergence for each group on the basis of whether the HAQ Index grew faster in absolute terms between 1990 and 2019 in countries with lower 1990 HAQ Index scores than countries with higher 1990 HAQ Index scores and by Socio-demographic Index (SDI) quintile. SDI is a summary metric of overall development.

FINDINGS

Between 1990 and 2019, the HAQ Index increased overall (by 19·6 points, 95% uncertainty interval 17·9-21·3), as well as among the young (22·5, 19·9-24·7), working (17·2, 15·2-19·1), and post-working (15·1, 13·2-17·0) age groups. Large differences in HAQ Index scores were present across SDI levels in 2019, with the overall index ranging from 30·7 (28·6-33·0) on average in low-SDI countries to 83·4 (82·4-84·3) on average in high-SDI countries. Similarly large ranges between low-SDI and high-SDI countries, respectively, were estimated in the HAQ Index for the young (40·4-89·0), working (33·8-82·8), and post-working (30·4-79·1) groups. Absolute convergence in HAQ Index was estimated in the young group only. In contrast, divergence was estimated among the working and post-working groups, driven by slow progress in low-SDI countries.

INTERPRETATION

Although major gaps remain across levels of social and economic development, convergence in the young group is an encouraging sign of reduced disparities in health-care access and quality. However, divergence in the working and post-working groups indicates that health-care access and quality is lagging at lower levels of social and economic development. To meet the needs of ageing populations, health systems need to improve health-care access and quality for working-age adults and older populations while continuing to realise gains among the young.

FUNDING

Bill & Melinda Gates Foundation.

Trends and disparities in avoidable, treatable, and preventable mortalities in South Korea, 2001-2020: comparison of capital and non-capital areas

OBJECTIVES

This study aimed to describe the regional avoidable mortality trends in Korea and examine the trends in avoidable mortality disparities between the Seoul Capital Area and non-Seoul-Capital areas, thereby exploring the underlying reasons for the trend changes.

METHODS

Age-standardized mortality rates from avoidable causes between 2001-2020 were calculated by region. Regional disparities in avoidable mortality were quantified on both absolute and relative scales. Trends and disparities in avoidable mortality were analyzed using joinpoint regression models.

RESULTS

Avoidable, treatable, and preventable mortalities in Korea decreased at different rates over time by region. The largest decreases were in the non-Seoul-Capital non-metropolitan area for avoidable and preventable mortality rates and the non-Seoul- Capital metropolitan area for treatable mortality rates, despite the largest decline being in the Seoul Capital Area prior to around 2009. Absolute and relative regional disparities in avoidable and preventable mortalities generally decreased. Relative disparities in treatable mortality between areas widened. Regional disparities in all types of mortalities tended to improve after around 2009, especially among males. In females, disparities in avoidable, treatable, and preventable mortalities between areas improved less or even worsened.

CONCLUSIONS

Trends and disparities in avoidable mortality across areas in Korea seem to have varied under the influence of diverse social changes. Enhancing health services to underserved areas and strengthening gender-oriented policies are needed to reduce regional disparities in avoidable mortality.

Income inequality and population health: a political-economic research agenda

There is more than 30 years of research on relationships between income inequality and population health. In this article, we propose a research agenda with five recommendations for future research to refine existing knowledge and examine new questions. First, we recommend that future research prioritise analyses with broader time horizons, exploring multiple temporal aspects of the relationship. Second, we recommend expanding research on the effect of public expenditures on the inequality-health relationship. Third, we introduce a new area of inquiry focused on interactions between social mobility, income inequality and population health. Fourth, we argue the need to examine new perspectives on 21st century capitalism, specifically the population health impacts of inequality in income from capital (especially housing), in contrast to inequality in income from labour. Finally, we propose that this research broaden beyond all-cause mortality, to cause-specific mortality, avoidable mortality and subcategories thereof. We believe that such a research agenda is important for policy to respond to the changes following the COVID-19 pandemic.

Sustainable Health and Wellbeing in the European Union

Background

Altogether, 17 Sustainable Development Goals (SDGs) are an urgent call for action to end poverty, protect the planet, and ensure prosperity for all. Goal 3 is crucial in terms of good health and wellbeing. The main aim of this study is to analyze and evaluate differences among indicators of SDG 3: Sustainable health and wellbeing in the EU countries.

Methods

The status and development of the EU Member States regarding their successes or failures in terms of Goal 3 were subjected to analysis. Altogether, 11 indicators were used to rank the EU countries using the TOPSIS and ranking methods. The ranks were assigned to the countries in two periods. The first period is related to the time from 2010 till 2014, and the second period from 2015 till 2019.

Results

The EU countries achieved a positive development in 10 of 11 indicators that monitor the achievement of the EU in terms of Goal 3. The only variable that changed negatively was the obesity rate. Positivity was observed in the decline of the standardized preventable and treatable mortality, which declined from 317.3 in the first period to 295 in the second period; the drop of the population weighted annual mean concentration of fine particulate PM2.5, from 16.4 to 13.6 μg/m³, and also in the increase of the share of people with good or very good perceived health, which was combined with a decrease of the self-reported unmet need for medical examination and care. The best-rated country in terms of SDG 3 was, in both periods, Sweden, while the worst-rated was Latvia.

Conclusions

Governments and institutions in the EU can intervene to increase the accessibility and quality of the health care system, but every citizen should try to do their best to reduce some of the risk factors, such as smoking or obesity, to try living healthier and to help to achieve higher ambitions in terms of sustainable health and wellbeing.

The Devil Is in the Data: Can Regional Variation in Amenable Mortality Help to Understand Changes in Health System Performance in Poland?

The contribution of health systems to health is commonly assessed using levels of amenable mortality. Few such studies exist for Poland, with analyses of within-the-country patterns being particularly scarce. The aim of this paper is to analyse differences in amenable mortality levels and trends across Poland's regions using the most recent data and to gain a more nuanced understanding of these differences and possible reasons behind them. This can inform future health policy decisions, particularly when it comes to efforts to improve health system performance. We used national and regional mortality data to construct amenable mortality rates between 2002 and 2019. We found that the initially observed decline in amenable mortality stagnated between 2014 and 2019, something not seen elsewhere in Europe. The main driver behind this trend is the change in ischemic heart disease (IHD) mortality. However, we also found that there is a systematic underreporting of IHD as a cause of death in Poland in favour of heart failure, which makes analysis of health system performance using amenable mortality as an indicator less reliable. We also found substantial geographical differences in amenable mortality levels and trends across Poland, which ranged from -3.3% to +8.1% across the regions in 2014-2019. These are much bigger than variations in total mortality trends, ranging from -1.5% to -0.2% in the same period, which suggests that quality of care across regions varies substantially, although some of this effect is also a coding artefact. This means that interpretation of health system performance indicators is not straightforward and may prevent implementation of policies that are needed to improve population health.

Examining the Economic Perspective of Treatable Mortality: The Role of Health Care Financing and the Importance for Economic Prosperity

Health is an essential element of economic life and is therefore considered a source of comparative economic development of countries. The aim of the study was to examine the associations between health care financing, specific treatable mortality of males and females of working age, and economic prosperity, taking into account to the classification of health systems applied in the countries of the Organization for Economic Co-operation and Development (OECD). An insurance-based health system and a tax-based health system were identified in these countries, and data were collected for the period 1994-2016. Descriptive analysis, panel regression analysis and cluster analysis were used to achieve the aim. The analytical process included economic indicators [health expenditure, gross domestic product (GDP)] and health indicators (treatable mortality from circulatory system diseases and endocrine, nutritional and metabolic diseases). The results revealed significant negative associations of health care financing with treatable mortality from circulatory system diseases and endocrine, nutritional, and metabolic diseases in both health systems and both gender categories. There were also negative associations between treatable mortality in both diagnosis groups and economic prosperity. These results have shown that health care financing is linked to economic prosperity also through health variability in the working age population. In terms of assessing economic and health outcomes, less positive and more positive countries were identified using cluster analysis. Countries such as Latvia with a tax-based health system and Hungary, Lithuania, Estonia with an insurance-based health system were characterized by great potential for improvements. Although reducing treatable mortality is a great motivation for public health leaders to increase health care financing, the importance for economic prosperity may be a more compelling argument. Effective interventions should be considered in the light of their regional, social and economic contexts.

Trends of amenable deaths due to healthcare within the European Union countries. Exploring the association with the economic crisis and education

The study of premature deaths from causes that are generally preventable given the current availability of healthcare - called amenable deaths due to healthcare - provides information on the quality of services. However, they are not only impacted by healthcare characteristics: other factors are also likely to influence. Therefore, identifying the association between amenable deaths due to healthcare and health determinants, such as education, might be the key to preventing these deaths in the future. Still unclear however, is how this works and how amenable deaths due to healthcare are distributed and evolve within the European Union (EU) below the national level. We therefore studied the geographical and temporal patterns of amenable deaths due to healthcare in the 259 EU regions from 1999 to 2016, including the 2007-2008 financial crisis and the post-2008 economic downturn, and identified whether any association with education exists. A cross-sectional ecological study was carried out. Using a hierarchical Bayesian model, we estimated the average smoothed Standardized Mortality Ratios (sSMR). A regression model was also applied to measure the relative risks (RR) at 95% credible intervals for cause-specific mortality association with education. Results show that amenable deaths due to healthcare decreased globally. Nevertheless, the decrease is not the same across all regions, and inequalities within countries do persist, with lower mortality ratios seen in regions from Central European countries and higher mortality ratios in regions from Eastern European countries. Also, the evolution trend reveals that after the financial crisis, the number of these deaths increased in regions across almost all EU countries. Moreover, educational disparities in mortality emerged, and a statistical association was found between amenable deaths due to healthcare and early exit from education and training. These results confirm that identifying and understanding the background of regional differences may lead to a better understanding of the amenable deaths due to healthcare and allow for the application of more effective policies.

Amenable mortality inequalities and their changes by place of residence during 1990-2019: the case of Lithuania

OBJECTIVE

The aim of this study was to analyze inequalities of amenable mortality by place of residence and its changes in Lithuania during 1990-2019.

STUDY DESIGN

A record-linked cohort study.

METHODS

Information on deaths was obtained from Statistics Lithuania and the Institute of Hygiene. Mortality rates from amenable causes of death by urban and rural among men and women were calculated per 100,000 population and were standardized by age. Inequalities in mortality were assessed using rate differences. For the assessment of the trends of mortality and its inequalities during 1990-2019, joinpoint regression analysis was applied.

RESULTS

During 1990-2019, amenable mortality of men and women in rural areas was higher compared to urban areas (P < 0.05). Changes in men's and women's mortality and its inequalities between rural and urban areas were characterized by three cut-off points (P < 0.05). However, not all the periods between the cut-off points were characterized by statistically significant changes in mortality. A reduction in amenable mortality was more evident in women, especially those living in rural areas. During 1990-2004 and in 2006, the differences in amenable mortality were greater among rural and urban women than among men. However, during 2013-2019, the differences were smaller (P < 0.05). Inequalities of men's mortality decreased during 1990-2001 and 2005-2012, and inequalities of women's mortality decreased during 1993-2006, 2006-2017, and 2017-2019 (P < 0.05). Inequalities of men's mortality decreased most rapidly during 2005-2012 (on average, by 10.24% per year), while inequalities of women's mortality decreased most rapidly during 2017-2019 (on average by 18.32% per year) (P < 0.05).

CONCLUSION

During 1990-2019, inequalities and a decline of inequalities in amenable mortality among rural and urban men and women were identified in Lithuania. The amenable mortality of the residents of Lithuania remained high, changed unevenly, and no significant sharp decrease was observed. Further reduction of inequalities in amenable mortality between rural and urban inhabitants with a special focus on men remain the health policy challenges in Lithuania.

Use of amenable mortality indicators to evaluate the impact of financial crisis on health system performance in Greece

BACKGROUND

Greece experienced the largest reduction in its health care budget of any European country during the economic crisis of 2008-15. Here, we test the hypothesis that budget reductions worsened health system performance in Greece, using the concept of Amenable Mortality to capture deaths which should not occur in the presence of effective and timely health care.

METHODS

Amenable mortality was calculated from national mortality statistics, using age-standardized deaths from 34 conditions amenable to medical intervention in Greece during 2000-16, with further analysis by sex, age, region and cause. Mortality rate ratios and their 95% CI were also computed. Interrupted time series analyses were performed to compare trends prior to austerity measures (2001-10) with those after (2011-16), adjusting for historical trends.

RESULTS

Prior to austerity measures, amenable mortality rates were declining. After 2011, coinciding with the inception of budget reductions, the slope of decline diminished significantly. The average annual percent of change in standardized death rates was 2.65% in 2001-10, falling to 1.60% in 2011-6. In 10 of 34 conditions, the SDR increased significantly after the crisis onset, and in five more conditions the long-term decline reversed, to increasing after 2011. The age-specific mortality rates observed in 2011-16 were significantly higher than those expected at ages 0-4 and 65-74 but not significantly higher in all other age groups.

CONCLUSIONS

Health system performance in Greece worsened in association with austerity measures, leading to a deceleration of the decline in amenable mortality and increased mortality from several conditions amenable to medical interventions.

Health research and knowledge translation for achieving the sustainable development goals: tackling the hurdles

We are far from reaching the sustainable development goals (SDGs) for health despite a wealth of novel insights in disease mechanisms and possible solutions. Why have we failed in knowledge translation and implementation? Starting from the case of cardiovascular diseases as one of the most prevalent non-communicable diseases, we examine barriers and hurdles, and perspectives for future health research. Health has multiple links with other SDGs. To accelerate the progress towards a healthy society, health research needs to take a broader view and become more cross-disciplinary and cross-sectoral. As one example, behavioural studies will underpin better prevention and treatment adherence. The next generation workforce in health and research needs an adapted education and training to implement more effective health approaches. As well, only effective dialogue and communication between researchers, practitioners, society and policymakers can lead to translation of evidence into policies, addressing the complexity of socioeconomic factors and commercial interests. Within Europe, health research needs a comprehensive vision and strategy that connects to achieving better health, as one of the interconnected SDGs.

Avoidable deaths in Sweden, 1997-2018: temporal trend and the contribution to the gender gap in life expectancy

Background

Avoidable mortality is considered as a potential indicator of the influences of public health policies and healthcare quality on population health. This study aimed to examine the trend in avoidable mortality and its influence on rising life expectancy (LE) and declining gender gap in LE (GGLE) in Sweden.

Methods

We extracted data on causes of death by age, sex, and year from national registry from 1997 to 2018. The UK Office for National Statistics definition was used to divide causes of death into five mutually exclusive categories: amenable, preventable, amenable & preventable, ischemic heart disease (IHD), and non-avoidable causes. We applied Joinpoint regression to analyse temporal trends in age-standardized mortality rates. The Arriaga method was applied to decompose changes in LE and GGLE by age group and causes of death.

Results

Average annual reductions in avoidable vs. non-avoidable mortality were 2.6% (95% CI:2.5, 2.7) vs. 1.4% (95% CI:1.3, 1.5) in men, and 1.6% (95% CI:1.4, 1.9) vs. 0.9% (95% CI:0.7, 1.0) in women over the study period. LE in men rose by 4.1 years between 1997 and 2018 (from 72.8 to 76.9 years), of which 2.4 years (59.3%) were attributable to reductions in avoidable mortality. Corresponding LE gain was 2.3 years in women (from 78.0 in 1997 to 80.3 in 2018) and avoidable mortality accounted for 1.0 year (45.6%) of this gain. Between 1997 and 2018, the GGLE narrowed by 1.9 years, of which 1.4 years (77.7%) were attributable to avoidable causes. Among avoidable causes, while preventable causes had the largest contribution to the GGLE, IHD had the greatest contributions to LE gains and the narrowing GGLE.

Conclusions

Our findings showed that avoidable causes had a substantial contribution to gain in LE with more profound gain in men than in women, resulting in narrowing the GGLE. Lower pace of reductions in preventable than amenable mortality highlights the need for improving the effectiveness of inter-sectoral health policies aimed at behavioural changes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10567-5.

Did Economic Crisis Affect Mortality Due to Infectious Diseases? Trends of Infectious Diseases Mortality in Greece Before and After Economic Crisis

Introduction

Economic crisis and the restrictive policies applied in Greece and other countries raise questions about whether financial crises may affect the declining trend of infectious diseases. The aim of this study is to explore the impact of the economic crisis on mortality due to infectious diseases in Greece and its possible correlation with socio-economic variables affected by the crisis. 

Methods

Data including all deaths due to infectious diseases in Greece during 2001-2016 were analyzed. Annual total and cause-specific standardized death rates (SDR) and age-specific mortality rates were calculated. Cumulative SDRs and standardized rate ratios of the exposed and the non-exposed to austerity periods were computed. The correlation of mortality with Gross Domestic Product (GDP), unemployment, long-term unemployment and hospital expenditure was explored.

Results

During the exposed-to-austerity period, the SDR of infectious diseases recorded a significant increase by 5% (2.4%-7.7%), exhibiting different trends in the various groups of diseases. The cause-specific SDR increased significantly in intestinal infections, viral diseases, pneumonia, and influenza, and declined in tuberculosis and meningitis. Overall mortality was positively correlated with GDP and unemployment, and adversely with hospital expenditure.

Conclusions

The mortality of infectious disease was adversely affected by economic crisis and austerity, but the effects were found disease-dependent, with significant differences between the various groups of infectious disease. Unemployment and hospital expenditure were the main socio-economic determinants of mortality. Causal mechanisms of the impact remain unclear, requiring further research.

The great convergence? Mortality in Ireland and Europe, 1956-2014

BACKGROUND

Until recently, Irish age-standardized mortality rates (ASMRs) were amongst the highest in the EU-15. This study examines changes in ASMRs in Ireland from 1956 to 2014.

METHODS

Using data from the World Health Organization Mortality Database, we compare ASMRs in Ireland to other EU-15 countries from 1956 to 2014. ASMRS are used to plot the relative ranking of Ireland within the EU-15, and illustrate trends in which Ireland diverged with, and converged to, the EU-15 average. ASMRS are estimated across sex, age groups (15-64 and 65+ years) and cause of death.

RESULTS

Between 1956 and 1999, ASMRs in Ireland were amongst the highest in the EU-15. ASMRs in Ireland saw slower improvements during this period as compared to other EU-15 countries. However, post-2000, a sharp reduction in Irish ASMRs resulted in an accelerated convergence to the EU-15 average. As a consequence of improvements in ASMRs between 2000 and 2014, there were an estimated 15 300 fewer deaths in 2014. The majority of these averted deaths were due to lower mortality rates for diseases of the circulatory system and respiratory system.

CONCLUSIONS

Rather than converging to the EU-15 average during the latter half of the 20th century, there was a divergence in ASMRs between Ireland and the EU-15. However, in recent years, Ireland experienced accelerated improvements in mortality rates with large reductions in mortality observed for diseases of the circulatory system and respiratory system, especially amongst older people.

The Association between Material Deprivation and Avoidable Mortality in Lisbon, Portugal

There is considerable evidence pointing to the existence of a socioeconomic gradient in mortality, which tends to be steeper in urban areas. Similar to other European cities, Lisbon is far from homogeneous since considerable geographical inequalities exist between the more advantaged and the more deprived neighborhoods. The main goals of this study are to describe the geographical pattern of premature deaths (before 65 years old), avoidable deaths (preventable and amenable to healthcare) and cause-specific mortality (HIV/AIDS and suicide) in Lisbon, at the lower administrative level (civil parish, in Portuguese: Freguesia), and analyze the statistical association between mortality risk and deprivation, before (1999–2003) and during the economic crisis (2008–2012). Smoothed Standardized Mortality Ratios (sSMR) and Relative Risk (RR) with 95% credible intervals were calculated to identify the association between mortality and deprivation. The analysis of the geographical distribution of cause-specific mortality reveals that civil parishes with high sSMR in the first period continued to present higher mortality rates in the second. Moreover, a significant statistical association was found between all the causes of death and deprivation, except suicide. These findings contribute to understanding how social conditions influence health outcomes and can offer insights about potential policy directions for local government.

The Contribution of Avoidable Mortality to the Life Expectancy Gains in Korea between 1998 and 2017

This study evaluated the contribution of avoidable causes of death to gains in life expectancy between 1998 and 2017 in Korea. This is a multi-year, cross-sectional study using national data. Death certificate data from 1998 to 2017 were obtained from Statistics Korea. The difference in life expectancy between 1998 and 2017 by age and cause of death were decomposed using Arriaga’s method. Life expectancy rose 7.73 years over 20 years in Korea, which was largely (more than 50%) due to changes in avoidable causes of death. As age increased, the contribution to changes in life expectancy increased, and the gain in life expectancy due to avoidable causes also tended to increase. The major factors that drove that gain in life expectancy were avoidable causes such as cerebrovascular diseases and traffic accidents. The gain in life expectancy from preventable diseases was greater in men than in women. The results of this study indicate that active public health programs have been effective in improving life expectancy in Korea. Moreover, avoidable mortality could be further improved with good public health policy. Health policy aimed at reducing amenable and preventable deaths should be further implemented to promote population health.

Changes in Socioeconomic Inequalities in Amenable Mortality after the Economic Crisis in Cities of the Spanish Mediterranean Coast

Several studies have described a decreasing trend in amenable mortality, as well as the existence of socioeconomic inequalities that affect it. However, their evolution, particularly in small urban areas, has largely been overlooked. The aim of this study is to analyse the socioeconomic inequalities in amenable mortality in three cities of the Valencian Community, namely, Alicante, Castellon, and Valencia, as well as their evolution before and after the start of the economic crisis (2000-2007 and 2008-2015). The units of analysis have been the census tracts and a deprivation index has been calculated to classify them according to their level of socioeconomic deprivation. Deaths and population were also grouped by sex, age group, period, and five levels of deprivation. The specific rates by sex, age group, deprivation level, and period were calculated for the total number of deaths due to all causes and amenable mortality and Poisson regression models were adjusted in order to estimate the relative risk. This study confirms that the inequalities between areas of greater and lesser deprivation in both all-cause mortality and amenable mortality persisted along the two study periods in the three cities. It also shows that these inequalities appear with greater risk of death in the areas of greatest deprivation, although not uniformly. In general, the risks of death from all causes and amenable mortality have decreased significantly from one period to the other, although not in all the groups studied. The evolution of death risks from before the onset of the crisis to the period after presented, overall, a general pro-cyclical trend. However, there are population subgroups for which the trend was counter-cyclical. The use of the deprivation index has made it possible to identify specific geographical areas with vulnerable populations in all three cities and, at the same time, to identify the change in the level of deprivation (ascending or descending) of the geographical areas throughout the two periods. It is precisely these areas where more attention is needed in order to reduce inequalities.

Trends in mortality from road traffic injuries in South Korea, 1983-2017: Joinpoint regression and age-period-cohort analyses

Although mortality trends can be influenced by different ages, periods, and cohorts, few studies have demonstrated the age-period-cohort (APC) effect on road traffic injury (RTI) mortality. Moreover, APC effects in Korea have never been documented despite the high mortality rates from RTIs. This study aimed to describe the trends in mortality from RTIs and examine APC effects on RTI mortality in Korea. Using the national death certificate and census mid-year population estimates data during 1983-2017, trends in age-standardized mortality rates from RTIs were analyzed using Joinpoint regression. Intrinsic estimator regression models were used to estimate APC effects on RTI mortality. Consistent with the trend in period effects, RTI mortality increased sharply with the economic growth in the 1980s, decelerated after the implementation of road safety policies in the early 1990s, plummeted owing to the 1997-1998 financial crisis, and gradually decreased from the early 2000s. A J-shaped age effect indicated that the relative risk of road traffic death surged in people aged ≥65 years. Educational expansion from the mid-1950s turned an increasing birth cohort effect into a continuously decreasing trend after peaking around the 1938-1943 birth cohorts. The risk of road traffic death was relatively high among the Korean Generation Y, i.e., those born in 1978-1983. RTI mortality trends in Korea have been affected by diverse socioeconomic changes through cohort and period effects. Despite the recent favorable trend, RTI mortality remains high, especially among older people. Road safety policies to address the burden of RTIs require further improvement.

Studying the impact of the Eurozone's Great Recession on health: Methodological choices and challenges

Europe's Great Recession provides an opportunity to study the impact of increased financial insecurity on health. A number of studies explored the impact of the Recession on health, but they often reached different conclusions. To understand the root of this debate, we undertook a systematic literature review. Articles were analysed thematically based on: geography, data type, operationalisations of wealth and health, and study design. A critical appraisal was also undertaken. Forty-two studies, published from January 2010 to October 2018, were included in our review. Twenty-six of the forty-two studies found that the Great Recession worsened physical health indicators in the Eurozone. In terms of geography, a large concentration of studies focussed on Spain and Greece, indicating that there may be a gap in understanding the health consequences for EU countries with less severe experiences of the Recession. Regarding data type, nearly all studies used secondary datasets, possibly meaning that studies were constrained by the data available. In terms of operationalisations of wealth and health, a majority of studies used single/simple measures of both, so that these multi-faceted concepts were not fully reflected. Further, fewer than half included studies used panel data, with the remaining studies unable to undertake more causal analyses. The results of the critical appraisal showed that lower-quality studies tended to not find a negative impact of the Recession on health, whereas higher quality studies generally did. In future, we recommend conducting cross-country comparisons, using (inter)nationally-representative panel data conducted over a minimum of a ten-year time horizon, and employing multi-faceted operationalisations of wealth and health. This could provide more common ground across studies, and a clearer indication of whether the Recession impacted health.

Measuring Health Vulnerability: An Interdisciplinary Indicator Applied to Mainland Portugal

Health promotion and inequality reduction are specific goals of the United Nations 2030 Agenda, which are interconnected with several dimensions of life. This work proposes a composite index SEHVI-socioeconomic health vulnerability index-to address Portuguese population socioeconomic determinants that affect health outcomes. Variables composing SEHVI are aligned with the sustainable development goals considering data and times series availability to enable progress monitoring, and variables adequacy to translate populations' life conditions affecting health outcomes. Data for 35 variables and three periods were collected from official national databases. All variables are part of one of the groups: Health determinants (social, economic, cultural, and environmental factors) and health outcomes (mortality indicators). Variables were standardized and normalized by "Distance to a reference" method and then aggregated into the SEHVI formula. Several statistical procedures for validation of SEHVI revealed the internal consistency of the index. For all municipalities, SEHVI was calculated and cartographically represented. Results were analyzed by statistical tests and compared for three years and territory typologies. SEHVI differences were found as a function of population density, suggesting inequalities of communities' life conditions and in vulnerability to health.

Avoidable, amenable, and preventable mortalities in South Korea, 2000-2017: Age-period-cohort trends and impact on life expectancy at birth

This study aimed to estimate age-period-cohort effects on avoidable mortality and quantify the impact of avoidable mortality changes on life expectancy (LE) at birth in the South Korean population aged 0-74 years. Using death certificate and resident population data from 2000 to 2017, trends in age-standardized avoidable mortality rates were analyzed with joinpoint regression. Intrinsic estimator regression analysis was conducted to estimate age-period-cohort effects on avoidable mortality. Arriaga's method was used to measure the contributions of avoidable causes to changes in LE gaps between adjacent three-year periods by age and avoidable cause of death groups. Avoidable mortality decreased annually by 4.6% between 2000 and 2017. There were strong age and cohort effects and a weak period effect on avoidable mortality. In the overall decreasing trend, avoidable mortality declined less in cohorts born after the 1950-1953 Korean War and economic recession in the 1970s, with further reductions in cohorts born after the 1987 democratic reform and 1997-1998 economic crisis. Avoidable mortality was reduced after implementation of major health policies, but the decrease stagnated during the 2008-2009 financial crisis. Avoidable mortality reduction resulted in LE gains of 3.1 years, which accounted for 80% of total LE gains. Contribution to LE gains by causes of death was the largest for cerebrovascular disease. Major social changes and health policies influenced the avoidable mortality trend through cohort and period effects. Health care and public health policies implemented since the 2000s might have contributed substantially to gains in LE.