Trapped in vicious cycles: unraveling the health experiences and needs of adults living with socioeconomic insecurity.

BACKGROUND: This study explores the role of health in daily life and needs of Dutch adults (aged 25-49) experiencing one or more forms of socioeconomic insecurity stemming from their financial, housing, or employment situations. METHODS: 28 in-depth, semi-structured interviews were conducted in the Netherlands between October 2022 and February 2023. The interview guide included questions on participants' socioeconomic situation, the role of health in their daily lives, their health-related and broader needs. Data was interpreted using inductive reflexive thematic analysis. An advisory board consisting of adults with lived experiences of socioeconomic insecurity were consulted at multiple stages of the study (recruitment, interview guide, interpretation of results). RESULTS: Housing insecurity was widely experienced by participants. When asked about their financial situation, most participants expressed having no issues getting by, but later on, described vigorous efforts to minimize expenses. Participants' narratives revealed four key themes in relation to the role of health in daily life and associated needs. Firstly, socioeconomic insecurity led to diminished control over life, which led to the disruption of routines. Secondly, experiencing socioeconomic insecurity compelled participants to prioritize stress reduction and mental health improvement through calming yet potentially damaging coping mechanisms. Thirdly, those who experienced little opportunity for improvement in their already long-lasting socioeconomic insecurity shared a sense of stagnation in life, which co-occurred with stagnation in unhealthy routines and diminished well-being. Fourthly, participants expressed the need for someone to speak with. This support may help participants regain control over their lives, identify opportunities for more socioeconomic security, and focus on increased health and well-being. CONCLUSIONS: This study sheds light on the challenges individuals face in dealing with socioeconomic insecurity, how it may affect their health, and their needs. Gaining perspective for improved socioeconomic security and having accessible professional support tailored to self-identified needs could have health-promoting effects for individuals living with socioeconomic insecurity. It is recommended to integrate professional support and assistance regarding social security into health policies and interventions. In future research, measures of financial strain should be adjusted to include the effort needed to get by.

The current state of complex systems research on socioeconomic inequalities in health and health behavior-a systematic scoping review.

BACKGROUND: Interest in applying a complex systems approach to understanding socioeconomic inequalities in health is growing, but an overview of existing research on this topic is lacking. In this systematic scoping review, we summarize the current state of the literature, identify shared drivers of multiple health and health behavior outcomes, and highlight areas ripe for future research. METHODS: SCOPUS, Web of Science, and PubMed databases were searched in April 2023 for peer-reviewed, English-language studies in high-income OECD countries containing a conceptual systems model or simulation model of socioeconomic inequalities in health or health behavior in the adult general population. Two independent reviewers screened abstracts and full texts. Data on study aim, type of model, all model elements, and all relationships were extracted. Model elements were categorized based on the Commission on Social Determinants of Health framework, and relationships between grouped elements were visualized in a summary conceptual systems map. RESULTS: A total of 42 publications were included; 18 only contained a simulation model, 20 only contained a conceptual model, and 4 contained both types of models. General health outcomes (e.g., health status, well-being) were modeled more often than specific outcomes like obesity. Dietary behavior and physical activity were by far the most commonly modeled health behaviors. Intermediary determinants of health (e.g., material circumstances, social cohesion) were included in nearly all models, whereas structural determinants (e.g., policies, societal values) were included in about a third of models. Using the summary conceptual systems map, we identified 15 shared drivers of socioeconomic inequalities in multiple health and health behavior outcomes. CONCLUSIONS: The interconnectedness of socioeconomic position, multiple health and health behavior outcomes, and determinants of socioeconomic inequalities in health is clear from this review. Factors central to the complex system as it is currently understood in the literature (e.g., financial strain) may be both efficient and effective policy levers, and factors less well represented in the literature (e.g., sleep, structural determinants) may warrant more research. Our systematic, comprehensive synthesis of the literature may serve as a basis for, among other things, a complex systems framework for socioeconomic inequalities in health.

A synthesis of evidence for policy from behavioural science during COVID-19.

Scientific evidence regularly guides policy decisions1, with behavioural science increasingly part of this process2. In April 2020, an influential paper3 proposed 19 policy recommendations ('claims') detailing how evidence from behavioural science could contribute to efforts to reduce impacts and end the COVID-19 pandemic. Here we assess 747 pandemic-related research articles that empirically investigated those claims. We report the scale of evidence and whether evidence supports them to indicate applicability for policymaking. Two independent teams, involving 72 reviewers, found evidence for 18 of 19 claims, with both teams finding evidence supporting 16 (89%) of those 18 claims. The strongest evidence supported claims that anticipated culture, polarization and misinformation would be associated with policy effectiveness. Claims suggesting trusted leaders and positive social norms increased adherence to behavioural interventions also had strong empirical support, as did appealing to social consensus or bipartisan agreement. Targeted language in messaging yielded mixed effects and there were no effects for highlighting individual benefits or protecting others. No available evidence existed to assess any distinct differences in effects between using the terms 'physical distancing' and 'social distancing'. Analysis of 463 papers containing data showed generally large samples; 418 involved human participants with a mean of 16,848 (median of 1,699). That statistical power underscored improved suitability of behavioural science research for informing policy decisions. Furthermore, by implementing a standardized approach to evidence selection and synthesis, we amplify broader implications for advancing scientific evidence in policy formulation and prioritization.

Testing conditionality with Bourdieu's capital theory: How economic, social, and embodied cultural capital are associated with diet and physical activity in the Netherlands.

Although Bourdieu's capital theory emphasized that economic, social, and embodied cultural capital interact to shape health behavior, existing empirical research mainly considered separate associations of the three forms of capital. Our aim was to investigate if and how economic, social, and embodied cultural capital are conditional on each other in their associations with adults' diet and physical activity. Cross-sectional, self-reported data from the 2014 GLOBE survey of 2812 adults aged between 25 and 75 years residing in Eindhoven, the Netherlands were used. Step-wise multiple logistic regression models included economic, social, and embodied cultural capital and adjustment for potential confounders. The models estimated odds ratios of main effects and two-way interactions of the forms of capital with fruit consumption, vegetable consumption, sports participation, and leisure time walking or cycling. In the main effects models, embodied cultural capital was consistently positively associated with all outcomes. Social capital was positively associated with sports participation, fruit consumption, and vegetable consumption, and economic capital was positively associated with sports participation and vegetable consumption. In the two-way interaction models, having specific higher levels of both economic and social capital strengthened their positive association with sports participation. No other combinations of capital were conditional on each other. Economic and social capital were conditional on each other in their association with sports participation, so interventions that provide both economic and social support may be especially effective for increasing this type of physical activity. As its association was strong with all outcomes but not conditional on other forms of capital, embodied cultural capital may operate distinctly from economic and social resources. Policy that takes differences in embodied cultural capital into account or changes to the environment that dampen the importance of embodied cultural resources for health behavior may help improve both diet and physical activity.

Socioeconomic inequalities in self-assessed health and food consumption: the mediating roles of daily hassles and the perceived importance of health.

BACKGROUND: Urgent daily hassles, which are more common among people with a lower socioeconomic position (SEP), might limit one's ability to address less pressing goals, such as goals related to health promotion. Consequently, health goals may be viewed as less focal, which could jeopardize one's health. This study examined an understudied pathway: whether a higher severity of daily hassles resulted in a lower perceived importance of health and whether these two factors sequentially mediate socioeconomic inequalities in self-assessed health (SAH) and food consumption. METHODS: A cross-sectional survey among 1,330 Dutch adults was conducted in 2019. Participants self-reported SEP (household income, educational level), the severity of eleven daily hassles (e.g., financial hassles, legal hassles), the perceived importance of health (not being ill, living a long life), SAH, and food consumption. Structural equation modeling was used to examine whether daily hassles and the perceived importance of health sequentially mediated income and educational inequalities in SAH, fruit and vegetable consumption (FVC) and snack consumption. RESULTS: No evidence of sequential mediation through daily hassles and the perceived importance of health was found. Daily hassles individually mediated income inequalities in SAH (indirect effect: 0.04, total effect: 0.06) and in FVC (indirect effect: 0.02, total effect: 0.09). The perceived importance of not being ill and living a long life both individually mediated educational inequalities in SAH (indirect effects: 0.01 and -0.01, respectively, total effect: 0.07). CONCLUSIONS: Income inequalities in SAH and FVC were explained by daily hassles, and educational inequalities in SAH were explained by the perceived importance of health. Socioeconomic inequalities may not be sequentially explained by a more severe experience of daily hassles and a lower perceived importance of health. Interventions and policies addressing challenging circumstances associated with a low income may improve SAH and healthy food consumption among lower-income groups.

What's important to you? Socioeconomic inequalities in the perceived importance of health compared to other life domains.

BACKGROUND: Pressing issues, like financial concerns, may outweigh the importance people attach to health. This study tested whether health, compared to other life domains, was considered more important by people in high versus low socioeconomic positions, with future focus and financial strain as potential explanatory factors. METHODS: A cross-sectional survey was conducted in 2019 among N=1,330 Dutch adults. Participants rated the importance of two health-related domains (not being ill, living a long life) and seven other life domains (e.g., work, family) on a five-point scale. A latent class analysis grouped participants in classes with similar patterns of importance ratings. Differences in class membership according to socioeconomic position (indicated by income and education) were examined using structural equation modelling, with future focus and financial strain as mediators. RESULTS: Three classes were identified, which were defined as: neutralists, who found all domains neutral or unimportant (3.5% of the sample); hedonists, who found most domains important except living a long life, work, and religion (36.2%); and maximalists, who found nearly all domains important, including both health domains (60.3%). Of the neutralists, 38% considered not being ill important, and 30% considered living a long life important. For hedonists, this was 92% and 39%, respectively, and for maximalists this was 99% and 87%, respectively. Compared to belonging to the maximalists class, a low income predicted belonging to the neutralists, and a higher educational level and unemployment predicted belonging to the hedonists. No mediation pathways via future focus or financial strain were found. CONCLUSIONS: Lower income groups were less likely to consider not being ill important. Those without paid employment and those with a higher educational level were less likely to consider living a long life important. Neither future focus nor financial strain explained these inequalities. Future research should investigate socioeconomic differences in conceptualisations of health, and if inequalities in the perceived importance of health are associated with inequalities in health. To support individuals dealing with challenging circumstances in daily life, health-promoting interventions could align to the life domains perceived important to reach their target group and to prevent widening socioeconomic health inequalities.

Socioeconomic inequalities in health behaviors: exploring mediation pathways through material conditions and time orientation.

BACKGROUND: Socioeconomic inequalities in health behaviors have been attributed to both structural and individual factors, but untangling the complex, dynamic pathways through which these factors influence inequalities requires more empirical research. This study examined whether and how two factors, material conditions and time orientation, sequentially impact socioeconomic inequalities in health behaviors. METHODS: Dutch adults 25 and older self-reported highest attained educational level, a measure of socioeconomic position (SEP); material conditions (financial strain, housing tenure, income); time orientation; health behaviors including smoking and sports participation; and health behavior-related outcomes including body mass index (BMI) and self-assessed health in three surveys (2004, 2011, 2014) of the longitudinal GLOBE (Dutch acronym for "Health and Living Conditions of the Population of Eindhoven and surroundings") study. Two hypothesized pathways were investigated during a ten-year time period using sequential mediation analysis, an approach that enabled correct temporal ordering and control for confounders such as baseline health behavior. RESULTS: Educational level was negatively associated with BMI, positively associated with sports participation and self-assessed health, and not associated with smoking in the mediation models. For smoking, sports participation, and self-assessed health, a pathway from educational level to the outcome mediated by time orientation followed by material conditions was observed. CONCLUSIONS: Time orientation followed by material conditions may play a role in determining socioeconomic inequalities in certain health behavior-related outcomes, providing empirical support for the interplay between structural and individual factors in socioeconomic inequalities in health behavior. Smoking may be determined by prior smoking behavior regardless of SEP, potentially due to its addictive nature. While intervening on time orientation in adulthood may be challenging, the results from this study suggest that policy interventions targeted at material conditions may be more effective in reducing socioeconomic inequalities in certain health behaviors when they account for time orientation.

Nudging New York: adaptive models and the limits of behavioral interventions to reduce no-shows and health inequalities.

BACKGROUND: Missed healthcare appointments (no-shows) are costly and operationally inefficient for health systems. No-show rates are particularly high for vulnerable populations, even though these populations often require additional care. Few studies on no-show behavior or potential interventions exist specifically for Federally Qualified Health Centers (FQHCs), which care for over 24 million disadvantaged individuals in the United States. The purpose of this study is to identify predictors of no-show behavior and to analyze the effects of a reminder intervention in urban FQHCs in order to design effective policy solutions to a protracted issue in healthcare. METHODS: This is a retrospective observational study using electronic medical record data from 11 facilities belonging to a New York City-based FQHC network between June 2017 to April 2018. This data includes 53,149 visits for 41,495 unique patients. Seven hierarchical generalized linear models and generalized additive models were used to predict no-shows, and multiple regression models evaluated the effectiveness of a reminder. All analyses were conducted in R. RESULTS: The strongest predictor of no-show rates in FQHCs is whether or not patients are assigned to empaneled providers (z = - 91.45, p < 10- 10), followed by lead time for appointments (z = 23.87, p < 10- 10). These effects were fairly stable across facilities. The reminder had minimal effects on no-show rates overall (No show rate before: 41.6%, after: 42.1%). For individuals with appointments before and after the reminder, there was a small decrease in no-shows of 2%. CONCLUSIONS: The limited effects of the reminder intervention suggest the need for more personalized behavioral interventions to reduce no-shows. We recommend that these begin with increasing the use of empaneled providers for preventive care appointments and reducing the lag time between setting the appointment and the actual date of the appointment, at least for individuals with a high rate of no-show. By complementing these with low-intensity, low-cost behavioral interventions, we would expect greater impacts for improved access to care, contributing to the well-being of vulnerable populations.

Health Promotion at Work: A Comparison of Policy and Practice Across Europe.

BACKGROUND: Promoting healthy lifestyles at work should complement workplace safety programs. This study systematically investigates current states of occupational health and safety (OHS) policy as well as practice in the European Union (EU). METHODS: OHS policies of EU member states were categorized as either prevention or health promotion provisions using a manifest content analysis. Policy rankings were then created for each prevention and promotion. Rankings compared eight indicators from the European Survey of Enterprises on New and Emerging Risks-2 data on prevention and promotion practices for each member state using Chi-square and probit regression analyses. RESULTS: Overall, 73.1% of EU establishments take preventive measures against direct physical harm, and about 35.4% take measures to prevent psychosocial risks. Merely 29.5% have measures to promote health. Weak and inconsistent links between OHS policy and practice indicators were identified. CONCLUSION: National OHS policies evidently concentrate on prevention while compliance with health and safety practices is relatively low. Psychosocial risks are often addressed in national policy but not implemented by institutions. Current risk assessment methods are outdated and often lack psychosocial indicators. Health promotion at work is rare in policy and practice, and its interpretation remains preventive. Member states need to adopt policies that actively improve health and well-being at the workplace.

Facilitating safe and successful cross-border healthcare in the European Union.

OBJECTIVE: Even though medical travel is expanding, limited research has identified pitfalls along the full process of medical travel. This study explores the experiences of medical travellers, with a focus on potential issues that may threaten safe and effective medical travel. METHODS: The experiences of medical travellers were assessed using a cross-sectional questionnaire in the Netherlands in 2014. The questionnaire (n=101) contained 52 items measuring the transfer of records, quality of care abroad, follow-up care, and reimbursement. Additionally, experts provided feedback on the pitfalls identified. RESULTS: 63.1% of medical records were not transferred in advance to the clinic abroad, and for 10.7% of cases these remained unknown during treatment. Although quality of care abroad was rated higher than in the home country, follow-up care was initially refused to 22.2% of patients. Additionally, patients reported problems related to reimbursement. CONCLUSION: More effort is needed to facilitate safe medical travel. Medical professionals should be informed on procedures for medical travellers, especially concerning follow-up care and record transfers. Yet, medical travellers themselves are ultimately responsible for this transfer. Clear information on the necessity of this personal transfer, and clarification on reimbursement options and the authorisation procedure, should be provided by national contact points and third-party payers. Additionally, payment structures to care providers may need adjustments to cover costs of follow-up care.