DETERMINE Working document #4 'Economic arguments for addressing social determinants of health inequalities'

The Institute of Public Health in Ireland (IPH) is a partner in the European project DETERMINE, building on its previous involvement in the Closing the Gap project in 2004-2006. In Year 2 the DETERMINE project  focused on identifying and exploring economic arguments to support action on social determinants of health inequalities.  Working document #4 'Economic arguments for addressing social determinants of health inequalities' presents the findings.

DETERMINE Working Document #1 'Policies and actions addressing the social determinants of health inequalities: examples of activity at EU member state level in Europe'

The Institute of Public Health in Ireland (IPH) is a partner in the European project DETERMINE, building on its previous involvement in the Closing the Gap project in 2004-2006. In the first year of the project (2007-2008) 15 DETERMINE partners identified policies and actions that have taken place within countries, and at the EU level, to address Social Determinants of Health Inequalities. These policies and actions were identified via a questionnaire, which also identified structures and tools/mechanisms being used in the country to support a 'health in all policy' approach.

IPH response to European Review of the Social Determinants of Health and the Health Divide

IPH welcomes this European Review conducted by the Marmot Review Team which aims to inform action on social determinants of health and health equity within the forthcoming health policy for the European region, Health 2020. IPH calls for clear mandates supporting whole-of-government approaches to address social determinants and outlines some of the specific challenges and opportunities within the current Ireland and Northern Ireland policy landscape.

Tackling Health Inequalities through Action on the Social Determinants of Health: Lessons from Experience

Briefing 10 - Lessons from experience This document, commissioned by Public Health England, and written by the UCL Institute of Health Equity, sets out 12 points to consider when taking action locally on the social determinants of health. It is intended as a source of information on approaches to consider when devising local programmes and strategies to reduce health inequalities. It complements the other briefings and evidence reviews in this series, which provide more detail on action on specific social determinant areas, such as employment and early years interventions, including information on impacts and cost effectiveness where available. The 12 steps are divided across three parts. The first part sets out four strategies that help prioritise action on health equity. The next steps are principles of effective action on the social determinants of the health, presented in the second part. Finally, the steps in part three outline ways of ensuring that measures to increase health equity are sustainable and have impact over the long term. The briefing is available to download above. This document is part of a series. An overview document which provides an introduction to this and other documents in the series, and links to the other topic areas, is available on the ‘Local Action on health inequalities’ project page. A video of Michael Marmot introducing the work is also available on our videos page.

Understanding the Economics of Investments in the Social Determinants of Health

Briefing 9 - Understanding the economics of investments in the social determinants of health This document, commissioned by Public Health England, and written by the UCL Institute of Health Equity, examines how to use measures of economic investment to improve and increase local investment in the social determinants of health. The paper provides information to support decision-making on actions to address the social determinants of health and the development of business cases for investment. It supplements the evidence reviews in this series, which include information on the economic impacts of actions on health inequalities, and should help the reader to be an intelligent customer and commissioner of economic analyses and to understand their limitations. The paper covers: - The rationale for understanding, measuring and taking into account the economic impact of decisions and interventions that impact on the social determinants of health.- The benefits and limitations of various ‘economic measures of impact’ – commonly used terms which can be confusing, sometimes leading to misinterpretation of which measure of economic impact is appropriate for what purpose.- What is currently known about the economic impact of intervening in the social determinants of health.- Good practice and further resources which will support better decisions. The briefing is available to download above. This document is part of a series. An overview document which provides an introduction to this and other documents in the series, and links to the other topic areas, is available on the ‘Local Action on health inequalities’ project page. A video of Michael Marmot introducing the work is also available on our videos page.

Précarité et déterminants sociaux de la santé: quel(s) rôle(s) pour le médecin de premier recours [Deprivation and social determinants of health: any role for the general practitioner?]

Social deprivation also exists in an industrialised country like Switzerland where there are many different social economic levels; social inequalities have increased in the past years having a major impact on social economic determinants of health. Being aware of these determinants and systematically identifying them in patients has become crucial for the general practitioner in order to improve the way s/he delivers care and interacts with more vulnerable populations. Because the general practitioner is often in contact with people of different socioeconomic levels, s/he is a key witness of social inequalities in health. S/he therefore has a responsibility to document them, to promote health, to prevent disease and be an advocate for the disadvantages in order to influence these social determinants of health.

Comprehensive school health, the social determinants of health, and the health status of children

As children are becoming increasingly inactive and obese, there is an urgent need for effective early prevention and intervention programs. One solution is a comprehensive school health (CSH) program, a health promotion initiative aimed at educating students about healthy behaviours and lifestyles, which also provides a link between the school, students, families, and the surrounding community. The purpose of this study was to explore the relationship between different components of CSH programs, as well as three determinants of health (gender, social support, socio-economic status), and physical activity, on the aerobic fitness and body mass index (BMI) of children. A newly developed and pilot-tested survey derived from Health Canada's fourpart CSH model (instruction, social support, support services, and a healthy physical environment) was sent to elementary school principals. Data on the gender, physical activity, parental education, and social support levels of students from these schools were gathered from a previous study. Multiple regression procedures were conducted to estimate the relationships between CSH components, the social determinants of health, physical activity, and BMI and aerobic fitness. Results showed that three CSH components were significantly associated with both BMI and aerobic fitness values in children, but accounted for less than 5% of the variance in both variables. Physical activity partially mediated the relationship between the significant CSH components, BMI, and particularly aerobic fitness. Furthermore, the social determinant and physical activity variables played independent roles in aerobic fitness values. No moderating effects of the social determinants were discovered.

A Quantitative Study of Social Capital Components, Self-Reported Health Status and Social Determinants of Health

This quantitative descriptive co-relational study used telephone survey interviews and stratified random sampling to collect data related to Social Capital (SC) and its components (trust and safety, reciprocity, civic engagement and collective action) and selected determinants of health variables in Niagara Region, Canada. Among the four components of social capital, trust and safety levels were highest among all participants (m=5.42, SD=1.0), with community engagement yielding the lowest mean score for the sample (m=1.93, SD=.8). Reciprocity had the strongest association with all other components of SC (r=0.51). Those most likely to report low levels of SC and health were unattached and low-income females. Males were more likely to report higher trust and safety levels and higher levels of self-rated health. In this study, a linear relationship between self-reported health status and SC was not found. Marital and employment status were associated with differences in mean scores of SC and self-reported health.

Socioeconomic determinants of health related quality of life in childhood and adolescence: results from a European study

STUDY OBJECTIVE: The objective of this study was to investigate the impact of two different socioeconomic status (SES) measures on child and adolescent self reported health related quality of life (HRQoL). The European KIDSCREEN project aims at simultaneous developing, testing, and implementing a generic HRQoL instrument. DESIGN AND SETTING: The pilot version of the questionnaire was applied in school surveys to students from 8 to 18 years of age, as well as to their parents, together with such determinants of health status as two SES indicators, the parental educational status and the number of material goods in the family (FAS, family affluence scale). PARTICIPANTS: Students from seven European countries: 754 children (39.8%; mean: 9.8 years), and 1142 adolescents (60.2 %; mean: 14.1 years), as well as their respective parents. MAIN RESULTS: In children, a higher parental educational status was found to have a significant positive impact on the KIDSCREEN dimensions: physical wellbeing, psychological wellbeing, moods and emotions, bullying and perceived financial resources. Increased risk of low HRQoL was detected for adolescents in connection with their physical wellbeing. Family wealth plays a part for children's physical wellbeing, parent relations and home life, and perceived financial resources. For adolescents, family wealth furthermore predicts HRQoL on all KIDSCREEN dimensions. CONCLUSIONS: There is evidence to suggest that exposure to low parental educational status may result in a decreased HRQoL in childhood, whereas reduced access to material (and thereby social) resources may lead to a lower HRQoL especially in adolescence.

Primary care physician supply and other key determinants of health care utilisation: The case of Switzerland

Background The Swiss government decided to freeze new accreditations for physicians in private practice in Switzerland based on the assumption that demand-induced health care spending may be cut by limiting care offers. This legislation initiated an ongoing controversial public debate in Switzerland. The aim of this study is therefore the determination of socio-demographic and health system-related factors of per capita consultation rates with primary care physicians in the multicultural population of Switzerland. Methods The data were derived from the complete claims data of Swiss health insurers for 2004 and included 21.4 million consultations provided by 6564 Swiss primary care physicians on a fee-for-service basis. Socio-demographic data were obtained from the Swiss Federal Statistical Office. Utilisation-based health service areas were created and were used as observational units for statistical procedures. Multivariate and hierarchical models were applied to analyze the data. Results Models within the study allowed the definition of 1018 primary care service areas with a median population of 3754 and an average per capita consultation rate of 2.95 per year. Statistical models yielded significant effects for various geographical, socio-demographic and cultural factors. The regional density of physicians in independent practice was also significantly associated with annual consultation rates and indicated an associated increase 0.10 for each additional primary care physician in a population of 10,000 inhabitants. Considerable differences across Swiss language regions were observed with reference to the supply of ambulatory health resources provided either by primary care physicians, specialists, or hospital-based ambulatory care. Conclusion The study documents a large small-area variation in utilisation and provision of health care resources in Switzerland. Effects of physician density appeared to be strongly related to Swiss language regions and may be rooted in the different cultural backgrounds of the served populations.

Bone-marrow derived progenitor cells are associated with psychosocial determinants of health after controlling for classical biological and behavioral cardiovascular risk factors

BACKGROUND: Circulating progenitor cells have been implicated with maintaining vascular integrity. Low counts are found in adults with high cardiovascular risk and are associated with impaired endothelial function. It remains unknown whether psychosocial risk factors are independently related to counts of circulating progenitor cells. METHODS: We investigated a random sample of 468 adult industrial employees (mean age 41.2 years, 89% men) of Caucasian origin. Cardiovascular risk factors (blood pressure, LDL, HDL and C-reactive protein), health behavior (smoking, alcohol and physical exercise), psychological variables (effort-reward imbalance social support, negative affectivity) and interaction terms served as predictors of circulating progenitor cells (CD34+ CD31dim) as enumerated by flow-cytometry. FINDINGS: Psychosocial variables were independently associated with progenitor cell counts. The association with risk factors increased with age (explained variance in 18-36 year olds R(2)=0.17, p=0.55; age 36.1-46 R(2)=0.32, p=0.001; age>46 R(2)=0.27, p<0.001). Data revealed a shift from a larger association between behavioral and psychosocial variables and cell counts to a stronger association between biological variables and cell counts in older individuals. A significant interaction was observed between smoking and effort-reward imbalance in middle-aged subjects, those with both risk factors present had lower cell counts. In older employees, the interaction between biological risk factors and smoking was related to lower cell counts. INTERPRETATION: In working middle-aged and older men, psychosocial risk factors were related to circulating counts of progenitor cells. Smoking interacted negatively with psychosocial risk factors (middle-aged men) or with biological risk factors (older employees).