Ranking Age-at-Death Distributions Using Dominance: Robust Evaluation of United States Mortality Trends, 2006-2021.

Diverging mortality trends at different ages motivate the monitoring of lifespan inequality alongside life expectancy. Conclusions are ambiguous when life expectancy and lifespan inequality move in the same direction or when inequality measures display inconsistent trends. We propose using nonparametric dominance analysis to obtain a robust ranking of age-at-death distributions. Application to U.S. period life tables for 2006-2021 reveals that, until 2014, more recent years generally dominate earlier years, implying improvement if longer lifespans that are less unequally distributed are considered better. Improvements were more pronounced for non-Hispanic Black and Hispanic individuals than for non-Hispanic White individuals. Since 2014, for all subpopulations-particularly Hispanics-earlier years often dominate more recent years, indicating worsening age-at-death distributions if shorter and more unequal lifespans are considered worse. Dramatic deterioration of the distributions in 2020-2021 during the COVID-19 pandemic is most evident for Hispanic individuals.

Aversion to health inequality - Pure, income-related and income-caused.

We design a novel experiment to identify aversion to pure (univariate) health inequality separately from aversion to income-related and income-caused health inequality. Participants allocate resources to determine health of individuals. Identification comes from random variation in resource productivity and information on income and its causal effect. We gather data (26,286 observations) from a sample of UK adults (n = 337) and estimate pooled and participant-specific social preferences while accounting for noise. The median person has strong aversion to pure health inequality, challenging the health maximisation objective of economic evaluation. Aversion to health inequality is even stronger when it is related to income. However, the median person prioritises health of poorer individuals less than is assumed in the standard measure of income-related health inequality. On average, aversion to that inequality does not become stronger when low income is known to cause ill-health. There is substantial heterogeneity in all three types of inequality aversion.

Income inequalities beyond access to mental health care: a Dutch nationwide record-linkage cohort study of baseline disease severity, treatment intensity, and mental health outcomes.

BACKGROUND: Existing literature shows low and unequal access to mental health treatment globally, resulting in policy efforts to promote access for vulnerable groups. Yet, there is little evidence about how inequalities develop once individuals start treatment. The greater use of mental health care among individuals with low income, such as in the Dutch system, might be driven by differences in need and might not necessarily lead to better treatment outcomes. In this study, we aimed to examine income inequalities in four stages of the mental health treatment pathway while adjusting for need. METHODS: We constructed a nationwide retrospective cohort study, examining all patients aged older than 18 years with a first specialist mental health treatment record in the Netherlands between 2011 and 2016, excluding those who did not receive any treatment minutes. We linked patient-level data from treatment records to administrative data on income, demographics from municipal registries, and health insurance claims. We used multivariate models to estimate adjusted associations between household income quintile (standardised for household size) and outcomes characterising four stages of mental health treatment: severity at baseline assessment based on the Global Assessment of Functioning (GAF) score, treatment minutes received, functional improvement by the end of the initial record, and additional treatment in a subsequent record. Estimates were adjusted for patient need (97 categories of primary diagnosis and severity at baseline assessment measured by GAF) and demographic covariates. FINDINGS: Our study population consisted of 951 530 adults with a first specialist mental health treatment record in the Netherlands between Jan 1, 2011, and Dec 31, 2016. Patients in our cohort were on average aged 45·0 years (range 19-107) and mostly female (529 859 [55·7%] women and 421 671 [44·3%] men; no ethnicity data were available). First, we found that patients with the lowest income had the greatest initial therapist-assessed disease severity (5·545 GAF points), which was 0·353 GAF points (95% CI 0·347-0·360) lower than those in the highest income quintile. Second, we found that the negative association between income and treatment minutes was reversed once we adjusted for diagnosis and severity at baseline, with patients with the lowest income receiving 1·8% fewer treatment minutes (95% CI 1·1-2·4) than those in the highest quintile. Third, those in the highest income quintile were 17·3 percentage points (95% CI 17·0-17·6) more likely to have functional improvements by the end of the initial record, compared with 25·8% of patients with an improvement in the lowest income quintile. Fourth, while 35·7% of patients in the lowest income quintile received additional treatment in a subsequent record, this was only 3·0 percentage points (95% CI 2·7-3·3) lower for those in the highest quintile. None of these patterns were explained by diagnosis, severity at baseline, or treatment minutes received. INTERPRETATION: Disparities favourable to patients with a higher income persist through the different stages of mental health treatment. These differences highlight the limitations of solely focusing on improving access to care to reduce the mental health gap. Our findings call for a better understanding of the role of social environment and quality of care as complementary mechanisms explaining inequalities during mental health treatment. FUNDING: Erasmus Initiative Smarter Choices for Better Health (Erasmus University Rotterdam), European Union's Horizon 2020, and Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Dutch Research Council). TRANSLATION: For the Dutch translation of the abstract see Supplementary Materials section.

Reducing socioeconomic health inequalities? A questionnaire study of majorization and invariance conditions.

We study the appeal of basic preference conditions that underpin health inequality indices, including the widely used concentration index. We did a lab experiment in which 349 respondents had to choose repeatedly between two policies that generated a distribution of income and health among five groups in society. We found stronger support for preference conditions that focus on inequality in the marginal distribution of health (and income) than for preference conditions that favor reduced correlation between both dimensions. Respondents' choices were more in line with the principle of income related health transfers when policies did not affect the ranking of groups in terms of health. Respondents also expressed more concern about the correlation between income and health when health was expressed as a shortfall rather than an attainment. Support for the preference conditions was unaffected when all groups in society experienced the same absolute or relative health change.

Risk factor contributions to socioeconomic inequality in cardiovascular risk in the Philippines: a cross-sectional study of nationally representative survey data.

BACKGROUND: Primary prevention of cardiovascular diseases (CVD) increasingly relies on monitoring global CVD risk scores. Lack of evidence on socioeconomic inequality in these scores and the contributions that specific risk factors make to this inequality impedes effective targeting of CVD prevention. We aimed to address this evidence gap by measuring and decomposing socioeconomic inequality in CVD risk in the Philippines. METHODS: We used data on 8462 individuals aged 40-74 years from the Philippines National Nutrition Survey and the laboratory-based Globorisk equation to predict 10-year risk of a CVD event from sex, age, systolic blood pressure, total cholesterol, high blood glucose, and smoking. We used a household wealth index to proxy socioeconomic status and measured socioeconomic inequality with a concentration index that we decomposed into contributions of the risk factors used to predict CVD risk. We measured socioeconomic inequalities in these risk factors and decomposed them into contributions of more distal risk factors: body mass index, fat share of energy intake, low physical activity, and drinking alcohol. We stratified by sex. RESULTS: Wealthier individuals, particularly males, had greater exposure to all risk factors, with the exception of smoking, and had higher CVD risks. Total cholesterol and high blood glucose accounted for 58% and 34%, respectively, of the socioeconomic inequality in CVD risk among males. For females, the respective estimates were 63% and 69%. Systolic blood pressure accounted for 26% of the higher CVD risk of wealthier males but did not contribute to inequality among females. If smoking prevalence had not been higher among poorer individuals, then the inequality in CVD risk would have been 35% higher for males and 75% higher for females. Among distal risk factors, body mass index and fat intake contributed most to inequalities in total cholesterol, high blood sugar, and, for males, systolic blood pressure. CONCLUSIONS: Wealthier Filipinos have higher predicted CVD risks and greater exposure to all risk factors, except smoking. There is need for a nuanced approach to CVD prevention that targets anti-smoking programmes on the poorer population while targeting diet and exercise interventions on the wealthier.

The effects of supported housing for individuals with mental disorders.

Societies face the challenge of providing appropriate arrangements for individuals who need living support due to their mental disorders. We estimate the effects of eligibility to the Dutch supported housing program (Beschermd Wonen), which offers a structured living environment in the community as an intermediate alternative to independent housing and inpatient care. For this, we use exogenous variation in eligibility based on conditionally random assignment of applications to assessors, and the universe of applications to supported housing in the Netherlands, linked to rich administrative data. Supported housing eligibility increases the probability of moving into supported housing and decreases the use of home care, resulting in higher total care expenditures. This increase is primarily due to the costs of supported housing, but potentially also higher consumption of curative mental health care. Supported housing eligibility reduces the total personal income and income from work. Findings do also suggest lower participation in the labor market by the individuals granted eligibility, but the labor participation of their parents increases in the long-run. Our study highlights the trade-offs of access to supported housing for those at the margin of eligibility, informing the design of long-term mental health care systems around the world.

Patient cost-sharing, mental health care and inequalities: A population-based natural experiment at the transition to adulthood.

BACKGROUND: Patient cost-sharing has been increasing around the world, despite the evidence that it reduces both unnecessary and necessary health care utilisation. Financial barriers could compound to poor transitional care into adulthood, when forgoing mental health treatment may have long-term consequences on health and development. We evaluate the impact of increasing deductibles on mental health care use by young adults, and the heterogeneous effects for vulnerable groups. METHODS: We use individual administrative records for 1,541,210 individuals between 17 and 19 years of age, living in the Netherlands. We implement a difference-in-discontinuity design that exploits an increase in the deductible of about 180 euros, between 2009 and 2014, and the deductible exemption for those below 18 years old. Finally, we study subgroup effects by household income, level of mental health care expenditure and medication use for mental disorders. RESULTS: Our results show that increasing deductibles reduced the probability of mental health care use at the transition to adulthood by 13.6% for females (-13.6%, CI 95%: -22.1%, -5.2%), and by 5.3% for males (-5.3%, CI 95%: -11.8%, 1.2%). The reduction was larger among females in the lowest (-18.9%, CI 95%: -35.4%, -2.3%) and second lowest (-21.3%, CI 95%: -36.7%, -5.9%) income quartiles. Additionally, we find increased treatment cessation in high deductible years to happen across all levels of mental health care need. CONCLUSIONS: Our findings indicate that cost-sharing is compounding to existing disruptions in care at the transition between children/adolescent and adult services. The larger reductions in mental health care use among low-income females uncover the role of the deductible increase in widening mental health care inequalities. Increased treatment cessation even among high-intensity users suggests potential long-term consequences for individuals, the health system, and society.

Association of neighbourhood socioeconomic trajectories with preterm birth and small-for-gestational-age in the Netherlands: a nationwide population-based study.

BACKGROUND: Adverse birth outcomes have serious health consequences, not only during infancy but throughout the entire life course. Most evidence linking neighbourhood socioeconomic status (SES) to birth outcomes is based on cross-sectional SES measures, which do not reflect neighbourhoods' dynamic nature. We investigated the association between neighbourhood SES trajectories and adverse birth outcomes, i.e. preterm birth and being small-for-gestational-age (SGA), for births occurring in the Netherlands between 2003 and 2017. METHODS: We linked individual-level data from the Dutch perinatal registry to the Netherlands Institute for Social Research neighbourhood SES scores. Based on changes in their SES across four-year periods, neighbourhoods were categorised into seven trajectories. To investigate the association between neighbourhood SES trajectories and birth outcomes we used adjusted multilevel logistic regression models. FINDINGS: Data on 2 334 036 singleton births were available for analysis. Women living in stable low-SES neighbourhoods had higher odds of preterm birth (OR[95%CI]= 1·12[1·07-1·17]) and SGA (OR[95%CI]= 1·19[1·15-1·23]), compared to those in high SES areas. Higher odds of preterm birth (OR[95%CI]= 1·12[1·05-1·20]) and SGA (OR[95%CI]=1·12[1·06-1·18]) were also observed for those living in areas declining to low SES. Women living in a neighbourhood where SES improved from low to medium showed higher odds of preterm birth (OR[95%CI]= 1·09[1·02-1·18]), but not of SGA (OR[95%CI]= 1·04[0.98-1·10]). The odds of preterm or SGA birth in other areas were comparable to those seen in high SES areas. INTERPRETATION: In the Netherlands, disadvantaged neighbourhood SES trajectories were associated with higher odds of adverse birth outcomes. Longitudinal neighbourhood SES measures should also be taken into account when selecting a target population for public health interventions. FUNDING: Erasmus Initiative Smarter Choices for Better Health.

Association Between Income and Perinatal Mortality in the Netherlands Across Gestational Age.

Importance: The association between household income and perinatal health outcomes has been understudied. Examining disparities in perinatal mortality within strata of gestational age and before and after adjusting for birth weight centile can reveal how the income gradient is associated with gestational age, birth weight, and perinatal mortality. Objectives: To investigate the association between household income and perinatal mortality, separately by gestational age strata and time of death, and the potential role of birth weight centile in mediating this association. Design, Setting, and Participants: This cross-sectional study used individually linked data of all registered births in the Netherlands with household-level income tax records. Singletons born between January 1, 2004, and December 31, 2016, at 24 weeks to 41 weeks 6 days of gestation with complete information on birth outcomes and maternal characteristics were studied. Data analysis was performed from March 1, 2018, to August 30, 2021. Exposures: Household income rank (adjusted for household size). Main Outcomes and Measures: Perinatal mortality, stillbirth (at ≥24 weeks of gestation), and early neonatal mortality (at ≤7 days after birth). Disparities were expressed as bottom-to-top ratios of projected mortality among newborns with the poorest 1% of households vs those with the richest 1% of households. Generalized additive models stratified by gestational age categories, adjusted for potential confounding by maternal age at birth, maternal ethnicity, parity, sex, and year of birth, were used. Birth weight centile was included as a potential mediator. Results: Among 2 036 431 singletons in this study (1 043 999 [51.3%] males; 1 496 579 [73.5%] with mother of Dutch ethnicity), 121 010 (5.9%) were born before 37 weeks of gestation, and 8720 (4.3 deaths per 1000) died during the perinatal period. Higher household income was positively associated with higher rates of perinatal survival, with an unadjusted bottom-to-top ratio of 2.18 (95% CI, 1.87-2.56). The bottom-to-top ratio decreased to 1.30 (95% CI, 1.22-1.39) after adjustment for potential confounding factors and inclusion of birth weight centile as a possible mediator. The fully adjusted ratios were lower for stillbirths (1.27; 95% CI, 1.20-1.36) than for early neonatal deaths (1.35; 95% CI, 1.14-1.66). Inequalities in perinatal mortality were found for newborns at greater than 26 weeks of gestation but not between 24 and 26 weeks of gestation (fully adjusted bottom-to-top ratio, 0.89; 95% CI, 0.77-1.04). Conclusions and Relevance: The results of this large nationally representative cross-sectional study suggest that a large part of the increased risk of perinatal mortality among low-income women is mediated via a lower birth weight centile. The absence of disparities at very low gestational ages suggests that income-related risk factors for perinatal mortality are less prominent at very low gestational ages. Further research should aim to understand which factors associated with preterm birth and lower birth weight can reduce inequalities in perinatal mortality.

Inequality in mortality between Black and White Americans by age, place, and cause and in comparison to Europe, 1990 to 2018.

Although there is a large gap between Black and White American life expectancies, the gap fell 48.9% between 1990 and 2018, mainly due to mortality declines among Black Americans. We examine age-specific mortality trends and racial gaps in life expectancy in high- and low-income US areas and with reference to six European countries. Inequalities in life expectancy are starker in the United States than in Europe. In 1990, White Americans and Europeans in high-income areas had similar overall life expectancy, while life expectancy for White Americans in low-income areas was lower. However, since then, even high-income White Americans have lost ground relative to Europeans. Meanwhile, the gap in life expectancy between Black Americans and Europeans decreased by 8.3%. Black American life expectancy increased more than White American life expectancy in all US areas, but improvements in lower-income areas had the greatest impact on the racial life expectancy gap. The causes that contributed the most to Black Americans' mortality reductions included cancer, homicide, HIV, and causes originating in the fetal or infant period. Life expectancy for both Black and White Americans plateaued or slightly declined after 2012, but this stalling was most evident among Black Americans even prior to the COVID-19 pandemic. If improvements had continued at the 1990 to 2012 rate, the racial gap in life expectancy would have closed by 2036. European life expectancy also stalled after 2014. Still, the comparison with Europe suggests that mortality rates of both Black and White Americans could fall much further across all ages and in both high-income and low-income areas.

It runs in the family - Influenza vaccination and spillover effects.

We study a population-based influenza vaccination program in the Netherlands, and the spillovers it has within families. Individuals aged 65 years and over qualify for the program and receive a personal invitation for a free flu shot, while ineligible individuals have to pay out-of-pocket and face additional barriers to getting vaccinated. The quasi-random variation at age 65 is exploited to analyse program impact on vaccination behavior of cohabiting partners and adult children. We find that the program induced a 10 percentage points increase in vaccination coverage among individuals at age 65. The program further led to a similar effect on vaccination take-up by cohabiting younger partners, but spillovers on children were negative. These asymmetric patterns of vaccination uptake are consistent with partners and children learning about influenza mortality risk, target group membership, and cost and benefits of vaccination, as well as salience. We conclude that public health campaigns should pay attention to the effects on voluntary preventive care participation as within-family spillovers impact the program's overall public health impact.

The Dutch influenza vaccination policy and medication use, outpatient visits, hospitalization and mortality at age 65.

BACKGROUND: Our objective was to obtain estimates of the impact of the Dutch vaccination programme on medication use, outpatient visits, hospitalization and mortality at age 65. METHODS: We linked population-wide mortality, hospitalization and municipality registries to identify influenza-related deaths and hospitalizations, and used health interview surveys to identify medication use and outpatient visits during 1996-2008. We applied a regression discontinuity design to estimate the intention-to-treat effect of the personal invitation for a free influenza vaccination sent to every Dutch inhabitant at age 65 years on each of the outcomes, separately in influenza-epidemic and non-epidemic months. RESULTS: Invitation receipt for free influenza vaccination at age 65 led to a 9.8 percentage points [95% confidence interval (CI) = 3.5 to16.1; P < 0.01] rise in influenza vaccination. During influenza-epidemic months, it was associated with 1.5 fewer influenza/pneumonia deaths per 100 000 individuals (95% CI = -3.1 to -0.0; P = 0.05), a 15 percentage point lower probability to use prescribed medicines (95% CI = -28 to -3; P = 0.02) and 0.13 fewer General Practitioner (GP) visits per month (95% CI = -0.28 to 0.02; P = 0.09), while the association with hospitalizations due to influenza/pneumonia was small and imprecisely estimated (seven more hospitalizations per 100 000 individuals, 95% CI = -20 to 33; P = 0.63). No associations were found with any outcomes during non-epidemic months. CONCLUSIONS: Personal invitations for a free influenza vaccination sent to every Dutch inhabitant at age 65 took pressure off primary health care but had small effects on hospitalizations and mortality.

Thank goodness for stickiness: Unravelling the evolution of income-related health inequalities before and after the Great Recession in Europe.

The Great Recession in Europe sparked concerns that the crisis would lead to increased income related health inequalities (IRHI). Did this come to pass, and what role, if any, did government transfers play in the evolution of these inequalities? Motivated by these questions, this paper seeks to (i) study the evolution of IRHI during the crisis, and (ii) decompose these evolutions to examine the separate roles of government versus market transfers. Using panel data for 7 EU countries from 2004 to 2013, we find no evidence that IRHI persistently rose after 2008, even in countries most affected by the crisis. Our decomposition reveals that, while the health of the poorest did indeed worsen during the crisis, IRHI were prevented from increasing by the relative stickiness of old age pension benefits compared to the market incomes of younger groups. Austerity measures weakened the IRHI reducing effect of government transfers.

Effect of screening mammography on breast cancer mortality: Quasi-experimental evidence from rollout of the Dutch population-based program with 17-year follow-up of a cohort.

There is uncertainty about the magnitude of the effect of screening mammography on breast cancer mortality. The relevance and validity of evidence from dated randomized controlled trials has been questioned, whereas observational studies often lack a valid comparison group. There is no estimate of the effect of one screening invitation only. We exploited the geographic rollout of the Dutch screening mammography program across municipalities to estimate the effects of one additional biennial screening invitation on breast cancer and all-cause mortality. Population administrative data provided vital status and cause of death of a cohort of women aged 49-63 in 1995 over 17 years. Linear probability models were used to estimate the mortality effects. We estimated 154 fewer breast cancer deaths (95% confidence interval: 40-267; p = 0.01) over 17 years in a population of 100,000 women aged 49-63 who received one additional biennial screening invitation, which corresponds to an 9.6% risk reduction for a woman of age 56. The estimated effect on all-cause mortality was negative but not close to statistical significance. Our study shows that one single invitation for breast cancer screening is effective in reducing breast cancer mortality, which is important for health policy. The effect is smaller than previous estimates of the effect of invitation for multiple screens, which further emphasizes the importance of achieving regular participation.

Persisting inequalities in birth outcomes related to neighbourhood deprivation.

INTRODUCTION: Health inequalities can be observed in early life as unfavourable birth outcomes. Evidence indicates that neighbourhood socioeconomic circumstances influence health. However, studies looking into temporal trends in inequalities in birth outcomes including neighbourhood socioeconomic conditions are scarce. The aim of this work was to study how inequalities in three different key birth outcomes have changed over time across different strata of neighbourhood deprivation. METHODS: Nationwide time trends ecological study with area-level deprivation in quintiles as exposure. The study population consisted of registered singleton births in the Netherlands 2003-2017 between 24 and 41 weeks of gestation. Outcomes used were perinatal mortality, premature birth and small for gestational age (SGA). Absolute rates for all birth outcomes were calculated per deprivation quintile. Time trends in birth outcomes were examined using logistic regression models. To investigate relative inequalities, rate ratios for all outcomes were calculated per deprivation quintile. RESULTS: The prevalence of all unfavourable birth outcomes decreased over time: from 7.2 to 4.1 per 1000 births for perinatal mortality, from 61.8 to 55.6 for premature birth, and from 121.9 to 109.2 for SGA. Inequalities in all birth outcomes have decreased in absolute terms, and the decline was largest in the most deprived quintile. Time trend analyses confirmed the overall decreasing time trends for all outcomes, which were significantly steeper for the most deprived quintile. In relative terms however, inequalities remained fairly constant. CONCLUSION: In absolute terms, inequalities in birth outcomes by neighbourhood deprivation in the Netherlands decreased between 2003 and 2017. However, relative inequalities remained persistent.

Impact and spill-over effects of an asset transfer program on child undernutrition: Evidence from a randomized control trial in Bangladesh.

Targeting the Ultra-poor (TUP) is an integrated programme that combines the transfer of income-generating assets and multifaceted training on entrepreneurship, health-nutrition, and social awareness over a two-year period to graduate ultra-poor with mainstream poverty. While positive socioeconomic effects and spill-over effects are well-documented, this is the first paper to evaluate the effects of the programme on nutritional outcomes of under-5 children using data from a randomized control trial over a four-year period. We find notable improvements in nutritional outcomes of children in participating households. TUP is further seen to improve food-security, sanitation and duration of exclusive-breastfeeding. Nutrition status of children living in poor non-participant households are also positively affected though no effects were found on children from non-poor households. We conclude that programmes that combine asset transfer with multifaceted training such as TUP can have significant long-term positive health effects.

What Explains Education Disparities in Screening Mammography in the United States? A Comparison with The Netherlands.

Background: In the U.S., less educated women are substantially less likely to receive screening mammography. It is not clear whether this is due to differences in access to screening or in perceptions of breast cancer risks and the effectiveness of screening. We weigh the plausibility of these two explanations by examining how the dependence of mammography on education changes after conditioning on indicators of access and perceptions. We also compare estimates for the U.S. with those for the Netherlands where there is universal access to a publicly financed screening program. Method: Cross-sectional and cross-country comparable individual level data from the American Life Panel (n = 646) and the Netherlands Longitudinal Internet Studies for the Social Sciences (n = 1398) were used to estimate and explain education disparities in screening mammograms given to American and Dutch women aged 40+. The education gradient was estimated using logit models. Controls were sequentially added to detect whether disparities were explained by differences in access or perceptions of risks and effectiveness. Results: In the United States, high school graduates were 11.5 percentage points (95% CI: 1⁻22 percentage points) less likely than college graduates to receive a screening mammogram in the previous two years. This education gradient was largely explained by differences in income, insurance coverage and receipt of medical advice. It was not explained by educational differences in the perceived risk of breast cancer and the effectiveness of mammography. There were no education disparities in receipt of mammography among Dutch women within the 50⁻75 age range covered by the national screening program. Conclusion: In the absence of a universal screening program in the U.S., determinants of access-income, insurance coverage and receipt of medical advice-appear to drive the education disparities in screening mammography.

Health Disparities by Income in Spain Before and After the Economic Crisis.

Little is known about how health disparities by income change during times of economic crisis. We apply a decomposition method to unravel the contributions of income growth, income inequality and differential income mobility across socio-demographic groups to changes in health disparities by income in Spain using longitudinal data from the Survey of Income and Living Conditions for the period 2004-2012. We find a modest rise in health inequality by income in Spain in the 5 years of economic growth prior to the start of the crisis in 2008, but a sharp fall after 2008. The drop mainly derives from the fact that loss of employment and earnings has disproportionately affected the incomes of the younger and healthier groups rather than the (mainly stable pension) incomes of the groups over 65 years. This suggests that unequal distribution of income protection by age may reduce health inequality in the short run after an economic recession. Copyright © 2016 John Wiley & Sons, Ltd.

Inequalities in cancer incidence and mortality across medium to highly developed countries in the twenty-first century.

PURPOSE: Inequalities in the burden of cancer have been well documented, and a variety of measures exist to analyse disease disparities. While previous studies have focused on inequalities within countries, the aim of the present study was to quantify existing inequalities in cancer incidence and mortality between countries. METHODS: Data on total and site-specific cancer incidence and mortality in 2003-2007 were obtained for 43 countries with medium-to-high levels of human development via Cancer Incidence in Five Continents Vol. X and the WHO Mortality Database. We calculated the concentration index as a summary measure of socioeconomic-related inequality between countries. RESULTS: Inequalities in cancer burden differed markedly by site; the concentration index for all sites combined was 0.03 for incidence and 0.02 for mortality, pointing towards a slightly higher burden in countries with higher levels of the human development index (HDI). For both incidence and mortality, this pattern was most pronounced for melanoma. In contrast, the burden of cervical cancer was disproportionally high in countries with lower HDI levels. Prostate, lung and breast cancer contributed most to inequalities in overall cancer incidence in countries with higher HDI levels, while for mortality these were mostly driven by lung cancer in higher HDI countries and stomach cancer in countries with lower HDI levels. CONCLUSION: Global inequalities in the burden of cancer remain evident at the beginning of the twenty-first century: with a disproportionate burden of lifestyle-related cancers in countries classified as high HDI, while infection-related cancers continue to predominate in transitioning countries with lower levels of HDI.

conindex: Estimation of concentration indices.

Concentration indices are frequently used to measure inequality in one variable over the distribution of another. Most commonly, they are applied to the measurement of socioeconomic-related inequality in health. We introduce a user-written Stata command conindex which provides point estimates and standard errors of a range of concentration indices. The command also graphs concentration curves (and Lorenz curves) and performs statistical inference for the comparison of inequality between groups. The article offers an accessible introduction to the various concentration indices that have been proposed to suit different measurement scales and ethical responses to inequality. The command's capabilities and syntax are demonstrated through analysis of wealth-related inequality in health and healthcare in Cambodia.