Financial burden of medicines in five Northern European countries: A decommodification perspective.

Affordable access to healthcare including medicines is a key social policy goal in Europe. However, it has rarely been addressed in comparative social policy research. Although the concept of decommodification has already been used in the context of healthcare and sickness benefits, we argue that the scope of such studies should be expanded to medicines to understand how welfare states protect their citizens from market forces in case of illness. We examine and compare the relationship between income, other characteristics, and subjective financial burden of medicines (FBM) across five countries with universal health systems pursuing egalitarian aims (Denmark, Finland, the Netherlands, Norway and Sweden). Analyses using 2017 EU-SILC microdata and linear probability models showed large differences in the level of FBM across countries, with the highest income quintile in Finland reporting FBM more frequently than the lowest income quintile in Denmark. Finland differed from the rest by increasing probability of FBM with age. In other countries, middle-aged adults tended to be the most affected, and older adults were well-protected. The association between income and FBM was strongest in the Netherlands; however, the higher probability of FBM was skewed towards the lower quintiles in all countries. FBM and financial burden of medical care were strongly associated although FBM tended to be more common. Unmet needs for medical examination were rare and lacked sensitivity in capturing manifestations of market risk. Decommodification literature has focused healthcare services as proxy of access; nevertheless, our study shows that further functions, and broader outcomes should be examined to capture market risk. Our evidence further highlights that important differences can be found even in countries with relatively similar health policy aims. The cost of medicines should be considered in comparative studies of health and welfare states.

Does social disadvantage persist over generations due to an uneven distribution of mental health diagnoses? A longitudinal investigation of Finnish register data.

Social disadvantages persist over generations, while the mechanisms behind the intergenerational transmission are not well understood. To fill this gap, first, we examine to what degree being diagnosed with a mental health disorder in adolescence mediate the transmission of social disadvantage. Second, we investigate whether the role of mental health varies for different outcomes. Third, we examine differences between disorder groups and gender. We exploited register data on the full Finnish population including information on mental health diagnoses (MHD) based on ICD-10 classification recorded in public specialized health care. As socioeconomic outcomes, we used offspring's (N = 511,835) records for low educational attainment, unemployment, and social assistance dependency in early adulthood. In addition to linear probability models, the g-computation method was used to simulate the degree to which reducing mental health inequalities in adolescence could narrow the differences between children of different family backgrounds. Our results show that adolescents with MHD had a higher likelihood of experiencing social disadvantage as young adults even after accounting for parental socioeconomic status and alternative health pathways. The counterfactual analysis indicated that the proportion mediated by unevenly distributed MHD was with 7.5% highest for social assistance followed by 4.2% for education and 3.2% for unemployment. The effect of mental health was modified by gender yet direction and strength varied across methods and externalizing behaviors mattered more for the intergenerational persistence than internalizing behaviors. Hypothetically reducing MHD to the level of families with high socioeconomic status might indeed lower part of the intergenerational transmission of social assistance dependency but to lesser degree of unemployment and low educational attainment. We demonstrate the need of support and services for those with MHD, especially among socially disadvantaged groups. However, social disadvantage should not be overly medicalized as family background has an important independent effect on offspring's socioeconimic outcomes.

Gender Inequality Reinforced: The Impact of a Child's Health Shock on Parents' Labor Market Trajectories.

This article employs a couple-level framework to examine how a child's severe illness affects within-family gender inequality. We study parental labor market responses to a child's cancer diagnosis by exploiting an event-study methodology and rich individual-level administrative data on hospitalizations and labor market variables for the total population in Finland. We find that a child's cancer negatively affects the mother's and the father's labor income. The effect is considerably larger for women, increasing gender inequality beyond the well-documented motherhood penalty. We test three potential moderators explaining the more negative outcomes among mothers: (1) breadwinner status, (2) adherence to traditional gender roles and conservative values, and (3) the child's care needs. We find that mothers who are the main breadwinner experience a smaller reduction in their household income contribution than other mothers. Additionally, working in a gender-typical industry and a child's augmented care needs reinforce mothers' gendered responses. These findings contribute to the literature by providing new insights into gender roles when a child falls ill and demonstrating the effects of child health on gender inequality in two-parent households.

Growing up unequal? Socioeconomic disparities in mental disorders throughout childhood in Finland.

Problems in mental health and socioeconomic health inequalities during childhood and adolescence are receiving important scientific and political attention. This in mind, we study how current family income and parental education are associated with psychiatric disorders among children in a well-developed welfare state, Finland. To gain a deeper understanding of how these disparities develop through early life course, we study the differences between genders, age groups, types of mental disorders, and also take into account the role of parental mental disorders. We exploit high-quality Finnish register data containing the whole population aged 4-17 with information on their families and parents. Our results of linear probability models show that lower parental education is consistently associated with higher probability of mental disorders throughout childhood, although some gender and disorder-specific differences are also identified. Interestingly, household income is related to mental health in more complex ways, having both negative and positive associations with psychiatric disorders. Inequalities are stronger among boys than girls, and the strongest associations are found among boys aged 7-12 and girls aged 13-17. Parental mental disorders increase the risk of children's psychiatric disorders but do not explain socioeconomic disparities. Considering the negative effects of mental problems on socioeconomic outcomes, inequalities in childhood mental health can be expected to reinforce other social inequalities in later life and should therefore be a focus of interventions.

Climate Change and Health: Consequences of High Temperatures among Vulnerable Groups in Finland.

In this article, we examine the effects of high temperatures on hospital visits and mortality in Finland. This provides new information of the topic in a context of predominantly cool temperatures. Unique, individual-level data are used to examine the relationship at the municipality-month level over a span of 20 years. Linear regression methods alongside high-dimensional fixed effects are used to minimize confounding variation. Analysis is conducted with special emphasis on the elderly population, as well as on specific elderly risk groups identified in previous literature. We show that for an additional day per month above 25°C, monthly all-cause mortality increases by 1.5 percent (95% CI: 0.4%-2.6%) and acute hospital visits increase by 1.1 percent (95% CI: 0.7%-1.6%). We also find some evidence that these effects are elevated in selected population subgroups, the low-income elderly, and people with dementia. Hospital visits also increase among younger age groups, illustrating the importance of using multiple health indicators. Such detailed evidence is important for identifying vulnerable groups as extreme heat waves are expected to become more frequent and intense in northern countries.

Neighbourhood effects on psychiatric disorders among Finnish adolescents: The moderating impact of family background.

We study whether childhood neighbourhood context affects mental health in adolescence in Finland. We also examine heterogeneous effects by family background. By exploiting register data for 1999-2018, we use sibling fixed effects models to gain more robust evidence on the existence of neighbourhood effects. We do not find evidence of an association between neighbourhood characteristics and psychiatric disorders within families. Differences in the effects by family background were not consistent, and variation was mainly found in random effects models. In general, observed family characteristics were strongly associated with psychiatric disorders. This means that interventions should be targeted to children at risk rather than certain neighbourhoods.

Are the Sick Left Behind at the Peripheries? Health Selection in Migration to Growing Urban Centres in Finland.

We study health selection in rural-urban migration in Finland using register data. Specifically, we ask whether 'movers' differ from 'stayers' in their use of special health care services prior to moving. We focus on migration to twelve growing urban centres in different sub-groups of the population as well as in different regions, using multinomial logistic regression and multilevel modelling and by distinguishing between short- and long-distance moves. The results show that urban centres attract healthier individuals, while people with health problems are also prone to move, but not to urban centres. The results were similar when looking only at psychiatric diagnoses. The findings suggest that it is important to distinguish between different types of moves when studying health-selective migration. Studying the patterns of migration according to health enables us to understand drivers of regional health differences. Moreover, such evidence will help in projecting future demand for healthcare across the country.

Health shocks and couples' labor market participation: A turning point or stuck in the trajectory?

A health shock can have lasting consequences for the employment of not only the individuals experiencing it, but also their spouses. In this article, we complement the individual approach to the impact of health shocks with a dyadic perspective and show how employment opportunities and restrictions within couples are interdependent in the face of severe illness. We investigate whether the association between male spouses' health shocks and couples' employment trajectories depends on household specialization and both spouses' education. Multichannel sequence analysis is applied to retrospective life-course data from the Survey for Health, Ageing and Retirement in Europe for couples with health shocks and their matched controls (N = 1022). By identifying typical employment trajectories, we find that health shocks are negatively associated with trajectories where both spouses continue in full-time employment and positively with trajectories where the man retires while the woman continues working and where both spouses retire simultaneously. Couples' trajectories differ according to the spouses' combined education levels. Findings suggest that health shocks may exacerbate economic inequalities within and between couples.

The development of healthcare use among a cohort of Finnish social assistance clients: testing the social selection hypothesis.

This article examines the association between healthcare use and receipt of social assistance. It focuses on asking to what extent the use of healthcare (seen as a proxy for health status) leads to social assistance. This is answered by describing the use of healthcare services among a cohort of Finnish social assistance clients before, during and after the first receipt of benefit by means of fixed-effects logistic regression. Using register data, the study follows a group of social assistance recipients from 2005 to 2011 and compares their use of healthcare to those not claiming social assistance during this same period and analyses how their use of health services develops over time. The results show that recipients use public healthcare clearly more than non-recipients, but they do so already prior to the first social assistance receipt. This partly confirms the social selection hypothesis according to which health problems lead to low income. However, the results do not exclude the existence of social causation. The causality is most likely bi-directional. The findings of the descriptive analyses are corroborated by a fixed-effects logistic regression analysis: the use of healthcare services increases the probability of receiving social assistance in the following month.

Deterioration in health: What is the role of unemployment and poverty?

AIM: There is powerful evidence on the association between ill health and low income or low socioeconomic position of the individual. In this article we study the deterioration in self-assessed health and its determinants, focusing on unemployment and poverty status of the person. A special focus on worsening health status gives more information on the link between health and socioeconomic characteristics than static analysis of health status. METHODS: The longitudinal EU Statistics on Income and Living Conditions (EU-SILC) data covering years from 2008 to 2013 for 26 EU Member States is used to follow people for whom we have data for 4 consecutive years. We will use information on the self-rated health status of the person. Logistic regression analysis is employed to study the determinants of transition to worse health status. RESULTS: The results show that unemployment (OR 1.23) and poverty (OR 1.19) before the health transition are significantly associated with worsening health even when controlled for the prior health status of the person. CONCLUSIONS THE RESULTS SUPPORT CAUSAL LINK BETWEEN UNEMPLOYMENT AND POVERTY STATUS AND SUBSEQUENT HEALTH STATUS, WHILE WE CANNOT EXCLUDE THE ROLE OF SELECTION IN THE MECHANISM UNDERSTANDING BETTER THE LINK BETWEEN HEALTH AND UNEMPLOYMENT OR POVERTY IS IMPORTANT FOR BETTER DESIGN OF HEALTH AND SOCIAL POLICIES.