Social inequalities in health: measuring the contribution of housing deprivation and social interactions for Spain

Abstract Introduction Social factors have been proved to be main determinants of individuals’ health. Recent studies have also analyzed the contribution of some of those factors, such as education and job status, to socioeconomic inequalities in health. The aim of this paper is to provide new evidence about the factors driving socioeconomic inequalities in health for the Spanish population by including housing deprivation and social interactions as health determinants. Methods Cross-sectional study based on the Spanish sample of European Statistics on Income and Living Conditions (EU-SILC) for 2006. The concentration index measuring income-related inequality in health is decomposed into the contribution of each determinant. Several models are estimated to test the influence of different regressors for three proxies of ill-health. Results Health inequality favouring the better-off is observed in the distribution of self-assessed health, presence of chronic diseases and presence of limiting conditions. Inequality is mainly explained, besides age, by social factors such as labour status and financial deprivation. Housing deprivation contributes to pro-rich inequality in a percentage ranging from 7.17% to 13.85%, and social interactions from 6.16% to 10.19%. The contribution of some groups of determinants significantly differs depending on the ill-health variable used. Conclusions Health inequalities can be mostly reduced or shaped by policy, as they are mainly explained by social determinants such as labour status, education and other socioeconomic conditions. The major role played on health inequality by variables taking part in social exclusion points to the need to focus on the most vulnerable groups. JEL Codes H51, I14, I18</p

COVID-19 and Unmet Healthcare Needs of Older People: Did Inequity Arise in Europe?

Background: The disruption in healthcare provision due to the COVID-19 pandemic forced many non-urgent medical treatments and appointments to be postponed or denied, which is expected to have huge impact on non-acute health conditions, especially in vulnerable populations such as older people. Attention should be paid to equity issues related to unmet needs during the pandemic. Methods: We calculated concentration indices to identify income-related inequalities and horizontal inequity in unmet needs due to postponed and denied healthcare in people over 50 during COVID-19, using data from the Survey on Health, Ageing and Retirement in Europe (SHARE). Results: Very few countries show significant income-related inequalities in postponed, rescheduled or denied treatments and medical appointments, usually favouring the rich. Only Estonia, Italy and Romania show a significant horizontal inequity (HI) in postponed healthcare, which apparently favours the poor. Significant pro-rich inequity in denied healthcare is found in Italy, Poland and Greece. Conclusions: Although important income-related horizontal inequity in unmet needs of European older adults during the early waves of the COVID-19 pandemic is not evident for most countries, some of them have to carefully monitor barriers to healthcare access. Delays in diagnosis and treatments may ultimately translate into adverse health outcomes, reduced quality of life and, even, widen socio-economic health inequalities among older people

Descentralización sanitaria y financiación autonómica: Incidencia en el período 1997 - 2000 y escenarios alternativos para el período 2002 - 2006

El presente documento de trabajo evalúa, partiendo de la distribución territorial completa de las competencias sanitarias bajo distintas hipótesis, los efectos financieros generados en la evolución de los recursos de las Comunidades Autónomas, mediante la comparación del actual sistema de financiación diferenciada de la sanidad con la situación de integración en el sistema de financiación general autonómica. El análisis contempla dos períodos, que coinciden con los quinquenios -actual y futuro- de financiación regional. Para el segundo período se consideran escenarios alternativos de financiación, que contemplan diversos cambios en la cesta de impuestos cedidos a las Comunidades Autónomas.

Decomposing socio-economic inequalities in leisure-time physical inactivity: the case of Spanish children

BACKGROUND: Physical inactivity is associated with an increased risk of all-cause mortality and entails a substantial economic burden for health systems. Also, the analysis of inequality in lifestyles for young populations may contribute to reduce health inequalities during adulthood. This paper examines the income-related inequality regarding leisure-time physical inactivity in Spanish children. METHODS: In this cross-sectional study based on the Spanish National Health Survey for 2011-12, concentration indices are estimated to measure socioeconomic inequalities in leisure-time physical inactivity. A decomposition analysis is performed to determine the factors that explain income-related inequalities. RESULTS: There is a significant socioeconomic gradient favouring the better-off associated with leisure-time physical inactivity amongst Spanish children, which is more pronounced in the case of girls. Income shows the highest contribution to total inequality, followed by education of the head of the household. The contribution of several factors (education, place of residence, age) significantly differs by gender. CONCLUSIONS: There is an important inequity in the distribution of leisure-time physical inactivity. Public policies aimed at promoting physical activity for children should prioritize the action into the most disadvantaged subgroups of the population. As the influence of determinants of health styles significantly differ by gender, this study points out the need of addressing the research on income-related inequalities in health habits from a gender perspective

Income-related inequalities in unmet dental care needs in Spain: traces left by the Great Recession

Background: Dental health is an important component of general health. Socioeconomic inequalities in unmet dental care needs have been identified in the literature, but some knowledge gaps persist. This paper tries to identify the determinants of income-related inequality in unmet need for dental care and the reasons for its recent evolution in Spain, and it inquires about the traces left by the Great Recession. Methods: Data from the EU-SILC forming a decade (2007-2017) were used. Income-related inequalities for three years were measured by calculating corrected concentration indices (CCI), which were further decomposed in order to compute the contribution of different factors to inequality. An Oaxaca-type decomposition approach was also used to analyze the origin of changes over time. Men and women were analyzed separately. Results: Pro-rich inequality in unmet dental care needs significantly increased over time (CCI 2007: - 0.0272 and - 0.0334 for males and females, respectively; CCI 2017: - 0.0704 and - 0.0776; p < 0.001). Inequality showed a clear "pro-cycle" pattern, growing during the Great Recession and starting to decrease just after the economic recovery began. Gender differences only were significant for 2009 (p = 0.004) and 2014 (p = 0.063). Income was the main determinant of inequality and of its variation along time -particularly for women-, followed by far by unemployment -particularly for men-; the contributions of both were mainly due to changes in elasticites. Conclusions: The Great Recession left its trace in form of a higher inequality in the access to dental care. Also, unmet need for dental care, as well as its inequality, became more sensitive to the ability to pay and to unemployment along recent years. To broaden public coverage of dental care for vulnerable groups, such as low-income/unemployed people with high oral health needs, would help to prevent further growth of inequality

Measurement of Inequity in the Delivery of Public Health Care: Evidence from Spain (1997)

This paper assesses horizontal equity in the delivery of public health care in Spain, and tries to identify those health care levels and population groups where inequality is concentrated. Different kinds of health care are analysed for 1997, both at disaggregate and aggregate level. The results show that the socio-economic population groups affected by inequity vary according to the specific health care level studied although, in global terms, there is not a clearly significant degree of inequity. The Spanish results are also compared to those obtained for other European countries.

Changes in income-related inequalities in cervical cancer screening during the Spanish economic crisis: a decomposition analysis

Abstract Background Cervical cancer is one of the most prevalent cancers, but it may be prevented by early detection. Social inequalities in the use of cytology testing have been identified in the literature. However, the degree of income-related inequality has not been quantified and determinants of inequality changes during the economic crisis remain unknown. Methods Using the Spanish National Health Surveys (2006–07 / 2011–12), we analyzed how income-related inequalities in the use of cervical cancer screening for women aged 25–64 changed across the economic crisis. We used corrected concentration indices (CCI) which were further decomposed in order to compute the contribution of the explanatory variables. An Oaxaca-type approach was employed to investigate the origin of changes over time. Results Our final sample consisted of 10,743 observations in 2006–07 and 6587 in 2011–12. Despite the higher prevalence of screening over time (from 73.9 to 77.9%), pro-rich inequality significantly increased (from CCI = 0.1726 to CCI = 0.1880, p < 0.001). Income was the main determinant of inequality in cervical screening, although its contribution decreased over time, as well as the contribution of the type of health insurance, mainly due to changes in elasticity. Other factors, such as nationality or the educational level, seem to have played an important role in the increase of pro-rich inequality of cytology testing. Conclusions Reducing cervical screening inequalities would require actions focused on most vulnerable groups such as migrants, low income and low educated population. The implementation of population-based screening programs would also help to cope with income-related inequalities in cytology testing