Trends in income-related health inequalities in self-assessed health in Korea, 1998–2011

This study assesses income-related health inequalities in self-assessed health (SAH) and its trend from 1998 to 2011 in Korea that covers important time periods of financial crisis and post-crisis. Data came from the Korean National Health and Nutrition Examination Survey from 1998 to 2011. A population-representative sample aged 46 years and older was analysed. SAH was used as an indicator of health status, with household equivalence income as a proxy for socio-economic position. Age-adjusted prevalence rates of SAH were analysed to estimate both absolute and relative measures of health inequalities and the trend over time by the relative index of inequality (RII) and the slope index of inequality (SII). Results indicated that the highest level of health inequalities was found among men aged 46–59 years, especially in 2001 and 2005. For men, there was no clear, consistent pattern of increase or decrease in the trend over time. On the other hand, increasing trends in the RII and SII were found for women, except for women aged 46–59 years who reported a decreasing trend in the SII. Trends in health inequalities over time were influenced by economic crisis, demonstrating the need for macro-level economic policies as well as health policies addressing health gaps.     

Neighbourhood income inequalities in mental health in Barcelona 2001-2016: a Bayesian smoothed estimate

ObjectiveObtaining reliable health estimates at the small area level (such as neighbourhoods) using survey data usually poses the problem of small sample sizes. To overcome this limitation, we explored smoothing techniques in order to estimate poor mental health prevalence at the neighbourhood level and analyse its profile by income in Barcelona city (Spain).MethodA Bayesian smoothing model with a logit-normal transformation was applied to four repeated cross-sectional waves of the Barcelona health survey for 2001, 2006, 2011 and 2016. Mental health status was identified from the 12-item General Health Questionnaire. Income inequalities were analysed with neighbourhood income in quantiles for each year and trends in the pooled analysis.ResultsThe prevalence of poor mental health ranged from 14.6% in 2001 to 18.9% in 2016. The yearly difference between neighbourhoods was 12.4% in 2001, 16.7% in 2006, 14.2% in 2011, and 20.0% in 2016. The odds ratio and 95% credible interval (95%CI) of experiencing poor mental health was 1.40 times higher (95%CI: 1.02-1.91) in less advantaged neighbourhoods than in more advantaged neighbourhoods in 2001, 1.61 times higher (95%CI: 1.01-2.59) in 2006 and 2.31 times higher (95%CI: 1.57-3.40) in 2016.ConclusionsThis study shows that the Bayesian smoothed techniques allows detection of inequalities in health in neighbourhoods and monitoring of interventions against them. In Barcelona, mental health problems are more prevalent in low-income neighbourhoods and raised in 2016.     

Differential impacts of health care in Australia: trend analysis of socioeconomic inequalities in avoidable mortality

BACKGROUND: Recent avoidable mortality trends in Australia suggest that health care has made a substantial contribution to reducing mortality. This study investigates if the benefits of health care have been distributed equally by comparing declines in avoidable with non-avoidable mortality over time by socioeconomic status (SES). METHODS: We calculated avoidable and non-avoidable mortality rates in Australia by small areas for 1986, 1991, 1997 and 2002. We performed pooled cross-sectional trend analysis of indirectly standardized mortality rates by SES and year, modelling using Poisson regression with over-dispersion. Socioeconomic inequalities were quantified using the relative (RII) and slope (SII) index of inequality. RESULTS: The annual percentage decline in avoidable mortality at the higher end of the socioeconomic continuum (5.0%; 95% CI: 4.7-5.4%) was larger than at the lower end (3.5%; 3.2-3.8%), with increasing relative inequality between 1986 (RII = 1.54; 1.46-1.63) and 2002 (RII = 2.00; 1.95-2.06), greater than that in non-avoidable mortality (P = 0.036). In absolute terms, avoidable deaths fell annually by 7.4 (6.9-7.8) and 8.4 (7.9-8.9) deaths per 100 000 at the higher and lower end of the spectrum, respectively, with absolute inequality decreasing between 1986 (SII = 97.8; 87.6-107.9) and 2002 (SII = 81.5; 74.6-88.5). CONCLUSIONS: Health care has contributed to decreasing the absolute SES mortality gap. However, advantaged people have obtained a disproportionate benefit of health care, contributing to widening relative health inequalities. A universal heath care system does not guarantee equality in health-care-related outcomes.     

Community action for health in socioeconomically deprived neighbourhoods in Barcelona: Evaluating its effects on health and social class health inequalities

BackgroundThe aim of this study was to analyse trends in several health-related indicators in socioeconomically deprived neighbourhoods in Barcelona with strong community action for health (CA), and compare them to neighbourhoods without such community action. A secondary goal was to analyse trends in socioeconomic inequalities in health in both types of neighbourhood.MethodsWe performed a quasi-experimental pre-post study using data from the Barcelona Health Surveys of 2001 and 2011. Our dependent variables were self-perceived health, mental health, previous drug use, and smoking cessation. We used Poisson regression with robust variance to calculate prevalence ratios (PR) and 95% Confidence Intervals (95% CI).ResultsThe percentage of men who had ever used drugs decreased over time in neighbourhoods with strong CA (PR = 0.48; 95% CI:0.25–0.92, from 2001 to 2011), but not in neighbourhoods without CA (PR = 1.02; 95% CI:0.74–1.40). However, the prevalence of poor mental health among men increased more in neighbourhoods with strong CA than in neighbourhoods without CA (p-value = 0.025). Among women, social class inequalities in poor mental health and smoking cessation decreased over time in neighbourhoods with strong CA but not in neighbourhoods without CA.ConclusionsOur study shows promising results regarding the effect of community action on health, particularly in terms of inequalities. Our results highlight the importance of allocating resources to implement and continuously evaluate CA initiatives.     

Widening Socioeconomic Inequalities in Smoking in Japan, 2001–2016

BackgroundJapan is one of the world’s largest tobacco epidemic countries but few studies have focused on socioeconomic inequalities. We aimed to examine whether socioeconomic inequalities in smoking have reduced in Japan in recent times.MethodsWe analyzed data from the Comprehensive Survey of Living Conditions, a large nationally representative survey conducted every 3 years (n ≈ 700,000 per year) in Japan, during 2001–2016. Age-standardized smoking prevalence was computed based on occupational class and educational level. We calculated smoking prevalence difference (PD) and ratio (PR) of (a) manual workers versus upper non-manual workers and (b) low versus high educational level. The slope index of inequality (SII) and relative index inequality (RII) by educational level were used as inequality measures.ResultsOverall smoking prevalence (25–64 years) decreased from 56.0% to 38.4% among men and from 17.0% to 13.0% among women during 2001–2016. The PD between manual and upper non-manual workers (25–64 years) increased from 11.9% (95% confidence interval [CI], 11.0–12.9%) to 14.6% (95% CI, 13.5–15.6%) during 2001–2016. In 2016, smoking prevalence (25–64 years) for low, middle, and highly educated individuals were 57.8%, 43.9%, and 27.8% for men, and 34.7%, 15.9%, and 5.6% for women, respectively. SII and RII by educational level increased among both sexes. Larger socioeconomic differences in smoking prevalence were observed in younger generations, which suggests that socioeconomic inequalities in smoking evolve in a cohort pattern.ConclusionsSocioeconomic inequalities in smoking widened between 2001 and 2016 in Japan, which indicates that health inequalities will continue to exist in near future.Key words: epidemiology, smoking, socioeconomic factors, Japan, trends     

Inequalities in mental health in the working population of Spain: a National Health Survey-based study

ObjectiveIn the working population, poor mental health is a significant problem whose prevalence rates and associated factors could differ by gender, especially in a period of socioeconomic changes. The aims of this study were: a) to determine the prevalence of poor mental health in the working population of Spain in 2011; b) to identify the association of this prevalence with socioeconomic and work-related variables for men and women separately; c) to determine if the patterns differ by gender.MethodsA cross-sectional study was conducted with data from the National Health Survey of Spain (2011). Of the 21,007 participants in the survey, we selected 7396 whose employment status was described as “working” The General Health Questionnaire (GHQ-12) was used as a screening tool to detect poor mental health. Prevalences were calculated and bivariate and multivariate logistic regression models were fitted to verify the association between variables.ResultsThe prevalence of poor mental health was higher among women (19.9%) than men (13.9%), the overall prevalence being 16.8%. The variables associated with a higher prevalence were type of contract and work-related variables in men, and age and socioeconomic variables in women.ConclusionsThis study shows that, in the working population of Spain, the prevalence of poor mental health and its related factors differ by gender. Poor mental health is mainly related to socioeconomic variables in women but is mostly associated with work-related variables in men.     

Effect of the recent economic crisis on socioeconomic inequalities in mortality in nine urban areas in Europe

ObjectiveTo analyse socioeconomic inequalities in all-cause mortality among men and women in nine European urban areas during the recent economic crisis, and to compare the results to those from two periods before the crisis.MethodThis is an ecological study of trends based on three time periods (2000-2003, 2004-2008 and 2009-2014). The units of analysis were the small areas of nine European urban areas. We used a composite deprivation index as a socioeconomic indicator, along with other single indicators. As a mortality indicator, we used the smoothed standardized mortality ratio, calculated using the hierarchical Bayesian model proposed by Besag, York and Mollié. To analyse the evolution of socioeconomic inequalities, we fitted an ecological regression model that included the socioeconomic indicator, the period of time, and the interaction between these terms.ResultsWe observed significant inequalities in mortality among men for almost all the socioeconomic indicators, periods, and urban areas studied. However, no significant changes occurred during the period of the economic crisis. While inequalities among women were less common, there was a statistically significant increase in inequality during the crisis period in terms of unemployment and the deprivation index in Prague and Stockholm, respectively.ConclusionsFuture analyses should also consider time-lag in the effect of crises on mortality and specific causes of death, and differential effects between genders.     

Socioeconomic inequalities in mental health in Australia: Explaining life shock exposure

BackgroundRecent research suggests that there exists a strong link between life shocks and mental health. However, research on the distributional aspects of these shocks on mental health status is limited. In the health inequality literature no Australian studies have examined this relationship.ObjectiveThis study examines the distributional impact of life shocks (negative life events and financial hardships) on mental health inequality among different socioeconomic groups in a longitudinal setting in Australia.MethodsThis study analysed the data of 13,496 individuals from the Household, Income and Labour Dynamics in Australia (HILDA) survey, waves 12–17 (2012–2017). Using concentration index and Blinder-Oaxaca approaches, the study decomposed socioeconomic inequalities in mental health and changes in inequalities in mental health over the study period. The study used frailty indices to capture the severity of life shocks experienced by an individual.ResultsThe results suggest that exposure to just one life shock will result in a greater risk of mental disorder in the most disadvantaged socioeconomic groups. The results also indicate that 24.7%–40.5% of pro-rich socioeconomic mental health inequality are due to life shocks. Financial hardship shocks contributes to 21.6%–35.4% of inequality compared with 2.3%–5.4% inequality generated by negative life event shocks across waves.ConclusionsLower SES groups experience more life shocks than higher SES groups and in turn generate higher socioeconomic mental health inequality. Policies aimed at reducing socioeconomic inequality in mental health should account for these shocks when designing interventions.     

Food consumption frequency and excess body weight in adolescents in the context of financial crisis in Barcelona (Spain)

ObjectivesTo describe food consumption frequency in adolescents in the context of the financial crisis in 2012, and to analyse potential fluctuations in excess body weight between 2008 and 2012.MethodA cross-sectional study of eating habits and excess body weight was conducted in adolescents aged 13 to 19 years old from public, subsidised and private secondary schools in Barcelona, Spain. The FRESC lifestyle risk factors survey was used, and food frequency consumption, food recommendations and body mass index were analysed according to gender, year of education and socioeconomic status.ResultsGirls ate vegetables and fruits more frequently than boys, while the prevalence of junk food consumption was higher in boys. The prevalence of compliance with food recommendations was lower than 50% for all foods, and gender and socioeconomic differences were found for eggs, red meat and soft drinks. Regarding excess body weight, boys had a higher prevalence than girls in the 2 years analysed. Furthermore, a reduction in excess body weight was observed among girls in secondary education in the highest socioeconomic groups (28.7% [95% CI: 24.8-32.6%] in 2008 to 20.5% [95% CI: 17.1-23.8%] in 2012).ConclusionsThe prevalence of adolescents following food recommendations is low, and gender differences were found in terms of food consumption frequency, even in the context of financial crisis. There is a need to promote programmes and policies to reduce inequalities related to eating habits and excess body weight in adolescents.     

The 2011 and 2016 iterations of the Ontario Marginalization Index: updates,consistency and a cross-sectional study of health outcome associations

ObjectivesThe Ontario Marginalization Index (ON-Marg) is an area-based measure used widely to measure health inequalities in Ontario. Recently, the index was updated for 2011 and 2016. The loss of the 2011 long-form census required the use of alternative data sources for the 2011 version. This paper describes the update of ON-Marg, assesses consistency in the indices across census years using Dissemination Areas, and examines associations between ON-Marg 2016 and four health and social outcomes to demonstrate its potential to measure health inequalities.MethodsON-Marg was created using factor analysis. Differences in quintile assignment was compared over time to assess whether the use of taxfiler, immigration, property assessment, and health card address data in 2011 affected consistency in measurement of marginalization. Inequalities in rates of overall mortality, gonorrhea incidence, mental health emergency department visits, and alcohol retail locations across quintiles of ON-Marg 2016 were quantified using the Relative Index of Inequality.ResultsDepending on the dimension, between 81% and 96% of DAs showed limited or no changes in quintiles of marginalization between 2006, 2011 and 2016. Of the 45–64% of DAs that did not change quintile between 2006 and 2016, 1.8% to 8.8% of DAs in 2011 differed by two or more quintiles. Findings showed significant differences in rates of health and social outcomes across quintiles of ON-Marg 2016, with strength and directionality varying by dimension of ON-Marg.ConclusionAlternative data sources did not substantially affect the consistency of the 2011 version of ON-Marg. The updated ON-Marg is a comprehensive tool that can be used to study health inequalities in Ontario.     

Energy poverty,its intensity and health in vulnerable populations in a Southern European city

ObjectiveTo describe and compare the health status between vulnerable population participating in a program to tackle energy poverty (Energía, la justa) and the non-energy poor Barcelona (Spain) population and to analyse among participants the effect of energy poverty intensity on health.MethodCross-sectional study based on data from program participants obtained before the intervention. Participants (1799 women and 671 men) were compared to non-energy poor population of Barcelona (1393 women and 1215 men) sampled from the Barcelona Public Health Survey (2016). Standardized prevalence and prevalence ratios of self-perceived poor health, asthma, chronic bronchitis, and depression and/or anxiety were estimated, and among participants the association between health status and energy poverty intensity was estimated with multivariate models.ResultsThe probability of poor self-perceived physical and mental health ranged from 2.2 to 5.3 times greater in the program participants than non-energy poor Barcelona population. Among program participants, those most affected were found to be the most likely to report poor health outcomes, regardless of other sociodemographic factors.ConclusionsThe prevalence of poor physical and mental health was considerably higher among women and men participating in the programme compared to the non-energy poor population and was even worse among those who were more severely affected. Public policies that tackle energy poverty and its consequences are urgently needed in Spain.     

Neglected housing insecurity and its relationship with renters health: the case of Barcelona,Spain

ObjectiveTo analyze by gender the relationship of forced displacements due to neglected housing insecurity with the physical and mental health of renters in Barcelona in 2019, distinguishing between economic (EHI) and legal (LHI) housing insecurity.MethodWe conducted a cross-sectional study based on the Survey of the Living Conditions of Renters in the Barcelona Metropolitan Area 2019 (1021 women; 584 men). Self-reported health and mental well-being were the dependents variables; the main explanatory variable was neglected housing insecurity. We used adjusted robust Poisson regression models to compare health outcomes among people affected by neglected housing insecurity and those who were not affected.ResultsWe observed that the probability of worse health outcomes are greater in those affected by EHI, followed by those affected by LHI, both compared to those who have not been affected by housing insecurity. This association are mainly observed in mental health of renters affected by EHI, even after adjusting for socioeconomic and other housing variables (in women PR: 1,17, CI95%: 1,03-1,33; in men PR: 1,21, CI95%: 1,01-1,43).ConclusionsNeglected housing insecurity is associated with worse mental health. Enhancing the visibility of neglected housing insecurity and raising awareness of its effects on health is urgently needed to tackle this massive but hidden problem.     

Measuring and decomposing inequity in self-reported morbidity and self-assessed health in Thailand

Background  

In recent years, interest in the study of inequalities in health has not stopped at quantifying their magnitude; explaining the sources of inequalities has also become of great importance. This paper measures socioeconomic inequalities in self-reported morbidity and self-assessed health in Thailand, and the contributions of different population subgroups to those inequalities.     

Trends in mental health inequalities in urban Canada

ObjectivesCanadians do not all enjoy equal levels of health. The presence of income-related health inequalities has been well established in Canada, but there is a lack of consistent reporting of mental health inequalities in Canada’s largest cities. This study reports the prevalence and inequalities in mental health outcomes at the city, provincial, and national levels over time.MethodsSelf-reported poor mental health, life stress, and physician-diagnosed self-reported mood and anxiety disorder from the Canadian Community Health Survey were pooled over five-year intervals and combined with neighbourhood income information from the Canadian Census. First, prevalence rates were calculated for each interval at the neighbourhood level for urban communities. Second, the distributions of these neighbourhood rates were summarized at the city level and for Canada as a whole using overall prevalence rates and concentration indices of inequality. Finally, trends in these city- and country-level outcomes were also explored.ResultsAt the national level, starting from 2001 to 2005, the prevalence of poor mental health (27.9%), mood disorder (7.3%), and anxiety disorder (6.8%) had significantly increased by 2011–2015. Inequalities were present in 2001–2005 and worsened over time. The prevalence rate at the national level of life stress was 66.6% in 2001–2005 and decreased over time.ConclusionThe large and increasing values of inequalities and the difference in prevalence rates and inequalities in cities highlight the necessity for mental disorder-specific data and for city-level analysis of inequalities. The next steps in reducing inequalities involve deconstructing the health inequalities, and continued monitoring.     

Critically examining diversity in end-of-life family caregiving: implications for equitable caregiver support and Canada’s Compassionate Care Benefit

Background

Mental health is of special importance regarding socioeconomic inequalities in health. On the one hand, mental health status mediates the relationship between economic inequality and health; on the other hand, mental health as an "end state" is affected by social factors and socioeconomic inequality. In spite of this, in examining socioeconomic inequalities in health, mental health has attracted less attention than physical health. As a first attempt in Iran, the objectives of this paper were to measure socioeconomic inequality in mental health, and then to untangle and quantify the contributions of potential determinants of mental health to the measured socioeconomic inequality.

Methods

In a cross-sectional observational study, mental health data were taken from an Urban Health Equity Assessment and Response Tool (Urban HEART) survey, conducted on 22 300 Tehran households in 2007 and covering people aged 15 and above. Principal component analysis was used to measure the economic status of households. As a measure of socioeconomic inequality, a concentration index of mental health was applied and decomposed into its determinants.

Results

The overall concentration index of mental health in Tehran was -0.0673 (95% CI = -0.070 - -0.057). Decomposition of the concentration index revealed that economic status made the largest contribution (44.7%) to socioeconomic inequality in mental health. Educational status (13.4%), age group (13.1%), district of residence (12.5%) and employment status (6.5%) also proved further important contributors to the inequality.

Conclusions

Socioeconomic inequalities exist in mental health status in Iran's capital, Tehran. Since the root of this avoidable inequality is in sectors outside the health system, a holistic mental health policy approach which includes social and economic determinants should be adopted to redress the inequitable distribution of mental health.     

An analysis of the role of health care in reducing socioeconomic inequalities in health: the case of the Netherlands.

The aim of this article is to analyze the role of the health care system in reducing socioeconomic inequalities in health in countries with good access to health services, using the Dutch example. In the past, health care has contributed substantially to reducing a number of health problems in the population, paticularly health problems leading to mortality. Data on trends in mortality from selected conditions by socioeconomic group show that both higher and lower socioeconomic groups have profited from these mortality reductions, probably because of largely equal access to essential health car services, and that absolute inequalities in mortality from these conditions have declined notably. The current situation is still one of largely equal financial access to health care services, with relatively small differences between socioeconomic groups in health care utilization, after adjustment for differences in prevalence of health problems. There is no evidence that inequalities in health care utilization contribute to a widening of socioeconomic inequalities in health. Financing of the health care system, however, is slightly regressive, and out-of-pocket payments contribute to the poor financial situation of the chronically ill. For the future, three possible contributions of the health care system to reducing socioeconomic inequalities in health are described: preservation of equal access to high-quality health care; development of specific care packages for lower socioeconomic groups; promotion and support of intersectoral activities.     

Differential effects of family income on self-rated health by age: analysis of Seoul citizens health indicators survey 2001, 2005]

OBJECTIVES: This study was conducted in order to determine how the association between socioeconomic position(SEP) and health status changes with age among Seoul residents aged 25 and over. METHODS: We utilized the 2001 and 2005 Seoul Citizens Health Indicators Surveys. We used self-rated 'poor' health status as an outcome variable, and family income as an indicator of SEP. In order to characterize the differential effects of socioeconomic position on health by age, we conducted separate multivariate analyses by 10-year age groups, controlling for sociodemographic covariates. In order to assess the relative health inequality across socioeconomic groups, we estimated the Relative Index of Inequality (RII). RESULTS: The risk of 'poor health' is significantly high in low family income groups, and this increased risk is seen at all ages. However, the magnitude of relative socioeconomic inequality in health, as measured by the odds ratio and RII, is not identical across age groups. The difference in health across income groups is small in early adulthood (ages 25-34), but increases with age until relatively late in life (ages 35-64). It then decreases among the elderly population (ages more than 65). When the RII reported in 2005 is compared to that reported in 2001, RII can be seen to have increased across all ages, with the exception of individuals aged 25-34. CONCLUSIONS: The magnitude of health inequality is the greatest during mid- to late adulthood (ages 45-64). In addition, health inequalities have worsened between 2001 and 2005 across all age groups after economic crisis.     

Long-term employment and health inequalities in Canadian communities

OBJECTIVES: This study examines the long-term unemployment rate and various health outcomes across Canadian communities to estimate employment-related health inequalities in these communities. METHODS: The study uses cross-sectional community-level health data along with data on the long-term employment rate for various communities across Canada to quantify health inequalities among these communities. The health outcomes that are considered in this study include total and disease specific mortality rates; health conditions such as high blood pressure, diabetes, injuries, and self rated health; and life expectancies at birth and at age 65. Health inequalities are estimated using the concentration index, which is used to measure health inequalities along socioeconomic dimensions. The concentration index is estimated by a regression of weighted relative health (ill health) over weighted cumulative relative rank of the populations. All the estimates are provided separately for males and females. RESULTS: The findings of the study support the existence of inequalities in community health outcomes as related to the long-term employment rates in those communities. Communities with lower long term employment rates (higher unemployment rates) have poorer health outcomes in terms of higher mortality rates, worse health conditions, and shorter life expectancies. CONCLUSION: Health inequalities related to long-term employment have important policy implications. They call for policies that would increase and maintain long term employment rates as part of a broader socioeconomic approach to health. Long term employment ensures income security and prevents the psychosocial experiences leading to mental and physical ill health.     

Salud y conductas relacionadas con la salud según la atracción y la conducta sexual

Objectiveto Describe perceived health, mental health and certain health-related behaviors according to sexual attraction and behavior in the population residing in Barcelona in 2011.MethodsPerceived health, mental health, chronic conditions and health-related behaviors were analyzed in 2675 people aged 15 to 64 years. The Barcelona Health Survey for 2011 was used, which included questions on sexual attraction and behavior. Multivariate robust Poisson regression models were fitted to obtain adjusted prevalence ratios.ResultsPeople feeling same-sex attraction reported a higher prevalence of worse perceived and mental health. These people and those who had had sex with persons of the same sex more frequently reported harmful health-related behaviors.ConclusionsLesbian, gay, transgender and bisexual people may have health problems that should be explored in depth, prevented, and attended.     

The use of health care services in the Great Recession: evaluating inequalities in the Spanish context

ObjectiveTo analyse the effect of the Great Recession (2008) on primary care (PC) and secondary care (SC) inequalities in Spain.MethodRepeated cross-sectional study using Spanish Health Surveys from 2001 to 2017 (n = 139,566). Prevalence of PC and SC utilization were calculated standardized by age. Chi square tests for trend were conducted to explore the evolution. We performed logistic regression analyses adjusted by the Andersen's model of demand for care to explore inequalities prior to, during and following the recession. All the analyses were stratified by sex.ResultsHealthcare use trends changed from a rapid increase in the pre-recession period to a plateau during the recession and a decrease in the post-recession period. Healthcare use was higher in women (PC: 15.8% to 32.5%; SC: 8.2% to 16.2%) than in men (PC: 11.3% to 24.1%; SC: 5.4% to 11.6%) and the gender gap increased. During the recession the likelihood of PC use was higher in disadvantaged groups, while SC had greater usage amongst more advantaged social groups. Inequalities in SC use increased during the recession and could not be attributed to factors of need.ConclusionsHealthcare use trends changed as a result of the recession. There are socioeconomic inequalities in the use of PC and SC in Spain, which increased in secondary care, during the recession and in the post-recession period. It is necessary to take into account socioeconomic determinants in health planning, in order to achieve equity in healthcare services.