Action on the social determinants of health

Responding to health literacy of refugees in Australian primary health care settings: a qualitative study of barriers and potential solutions

BACKGROUND

Organisational health literacy is a promising area of research that enables a focus on how systems and services can be designed in ways that are responsive to populations with varying states and levels of health literacy, knowledge, and practices, including African refugees. The challenge is how organisations and professionals do this in practice, and research in this area is in its early stages. This qualitative study examined barriers to implementing health literacy responsive care practices in primary health care settings in Australia. It also offered suggestions to potentially address the barriers to improving organisational health literacy.

METHODS

Refugees (n = 19), primary health care professionals (n = 14), and other key stakeholders (n = 19) were recruited through convenience and snowball strategies from three states in Australia: New South Wales, Victoria, and Queensland. All but one participant was interviewed face-to-face via Zoom. Semi-structured interview guides were used to guide the conversations. Transcriptions from audio recordings were analysed using directed content analysis.

RESULTS

Thirteen themes were extracted from the data. Themes were organised into the following categories: structural and systemic, organisational context, individual professional level, individual patient level, and socio-community level. Major structural and system-level factors affecting organisational health literacy included rigid systems and structures and limited time. Key organisation-level factors included inflexible organisational processes and policies, institutionalised othering, discrimination and racism, and lack of interpreters. Individual professional factors were poor communication with patients and cultural knowledge gaps. Linguistic issues and service mistrust were key individual patient-level factors. Socio-community factors included limited community engagement. Participants identified potential solutions to help services navigate out of the barriers and improve their response to health literacy.

CONCLUSION

The findings suggest that mainstream services and organisations could improve timely and appropriate health care access and utilisation for refugees through strategies such as designing services and health literacy programs with refugee communities, promoting health literacy champions in the workforce, integrating health literacy and culturally responsive care plans and strategies into organisational priorities.

Multilevel Analysis of Sociopolitical Contexts, Social Support, Mental Health, and Alcohol Use Among Partnered Sexual Minority Latino Men in the U.S

OBJECTIVE

The objective of this paper is to examine how state-level characteristics relate to social support and mental health outcomes among Latino sexual minority men in the U.S.

METHODS

Multilevel linear regression analyses were used to estimate the effect of social support and contextual-level characteristics on mental health and alcohol use among Latino sexual minority men (n = 612). Individual-level data were collected via a national, online survey between November 2018 and May 2019. State-level data were drawn from the 2019 American Community Survey and the Human Rights Campaign's 2018 State Equality Index score cards.

RESULTS

The interaction between friend support and supportive LGBTQ+ policies was associated with anxiety (B = 1.77; 95% CI 0.69, 2.85; p = 0.001) and depression (B = 2.25; 95% CI 0.99, 3.50; p<0.001). The interaction between friend support and Latino population size was associated with greater problematic alcohol use (B = 0.06; 95% CI 0.03, 0.10; p<0.001). The interaction between partner support and supportive LGBTQ+ policies were also associated problematic drinking (B = -1.72; 95% CI -3.05, -0.38; p<0.012).

CONCLUSIONS

Contextual factors can affect the everyday experiences of Latino sexual minority men. The effect of social support on mental health outcomes may depend on state-level factors. Public health efforts that seek to address the mental health and problematic drinking behaviors of Latino sexual minority men must consider the impact of macro-level policies on program and intervention development.

The Influence of Patient Characteristics and Social Determinants of Health on Postoperative Complications Following Achilles Tendon Rupture

BACKGROUND

The influence of social determinants of health (SDH) on postoperative complications has been investigated in several studies, although correlation with Achilles tendon rupture (ATR) repair remains uninvestigated. SDH encompasses several factors, including insurance status and area-based measurements, including the Area Deprivation Index (ADI) and Social Vulnerability Index (SVI), which ranks neighborhoods by social disadvantage. This study investigated the correlation between patient demographics, SDH, and complications following ATR repair.

METHODS

A retrospective cohort study was conducted on 521 patients who presented with acute ATR and met the inclusion criteria, including age ≥18 years, a minimum of 30-day follow-up, and repair within 28 days of rupture. We reviewed patient demographics, time to surgery (TTS), and postoperative complications, including venous thromboembolism (VTE), rerupture, surgical site infection (SSI), wound dehiscence, and sural nerve injury. SDH variables included race, smoking status, insurance status, level of education, ADI, and SVI. Univariate regression tested the correlation between complications and SDH indicators. Significant variables (P < .05) were included in a multivariate regression.

RESULTS

Sixty-eight complications occurred in 59 patients (11.3%). Multivariate regression showed that a higher ADI, that is, socially deprived individuals, was associated with lower rates of VTE (OR = 0.41, P = .04). Higher body mass index (BMI) was associated with rerupture (OR = 8.73, P < .01). Male patients had lower rates of wound dehiscence (OR = 0.31, P = .03) and VTE (OR = 0.32, P = .02) compared with women. Longer TTS correlated with sural nerve injuries (OR = 2.23, P < .01) and shorter TTS with reruptures (OR = 0.02, P = .02).

CONCLUSION

Some measures of SDH were associated with postoperative complications. Gender also may have an effect, with male sex associated with lower rates of wound dehiscence and VTE. BMI was associated with higher rates of reruptures and overall general complications.

LEVEL OF EVIDENCE

Level IV, case series.

Mental health in China: exploring the impacts of built environment, work environment, and subjective perception

Introduction

The shifting living and working conditions have profound impacts on the residents' mental health. However, current research in this field has not remarkable investigated.

Methods

This study used the China Labor-force Dynamic Survey (CLDS) dataset from 2018 and relied on a regression model to examine the effects of the built environment, work environment, and subjective perception on the mental health of Chinese citizens. It also considers the circumstances of both migrants and local residents.

Results

This study revealed significant correlations between mental health and greening space rate, road network density, commuting time, work feelings, community trust, economic satisfaction, and other factors. Additionally, the mental health of local residents was shown to be significantly affected by community security, while it shows no significance in migrants. Furthermore, a significant spatial autocorrelation was found in terms of mental health within the central and eastern regions of China.

Discussion

The findings of this study offer valuable insights that can be used to facilitate measures aimed at improving the mental health of residents and promoting the development of healthy cities.

Healthy and Equitable Interpersonal Relationships, Health Inequalities and Socio-Educational Interventions: A Conceptual Framework for Action

BACKGROUND

Interpersonal relationships undoubtedly have a bidirectional connection with the health of individuals and communities. Relational models based on equity contribute to well-being, while asymmetrical relationships based on hierarchies and differences of power negatively impact mental, physical, and social health.

METHODS

A conceptual framework for understanding the determinants of interpersonal relational models was developed.

RESULTS

Structural determinants were identified as the combined action of systems of oppression, the socio-historical context that normalizes violence, and social stratification and segregation, consequences which included inequitable access to power, resources, and opportunities. Intermediate determinants include individual, psychosocial, behavioral, and community aspects. Structural and intermediate determinants impact health and health inequalities through multiple relational patterns that are simultaneously established and sustained by individuals and communities. The health impact of inequitable relational patterns includes: Reduced self-esteem; anxiety, stress, and depression; acceptance of violence; physical and sexual harm; suicide; and murder.

CONCLUSIONS

This conceptual framework allows for the modification of relational models by influencing structural and intermediate determinants. Six areas of intervention have been identified: educative policies, school governance, physical and symbolic space, school curriculum, school-community relations, and socio-educative interventions to promote healthy and equitable relationships. Healthy and equitable relationships are associated with improved subjective well-being, health status and protection from violence. Socio-educational interventions that consider the elements of this conceptual framework may be effective in promoting healthy and equitable relational models.

Hypertension and cognitive function: a review of life-course factors and disparities

PURPOSE OF REVIEW

Dementia is a life-course condition with modifiable risk factors many from cardiovascular (CV) origin, and disproportionally affects some race/ethnic groups and underserved communities in the USA. Hypertension (HTN) is the most common preventable and treatable condition that increases the risk for dementia and exacerbates dementia pathology. Epidemiological studies beginning in midlife provide strong evidence for this association. This study provides an overview of the differences in the associations across the lifespan, and the role of social determinants of health (SDoH).

RECENT FINDINGS

Clinical trials support HTN management in midlife as an avenue to lower the risk for late-life cognitive decline. However, the association between HTN and cognition differs over the life course. SDoH including higher education modify the association between HTN and cognition which may differ by race and ethnicity. The role of blood pressure (BP) variability, interactions among CV risk factors, and cognitive assessment modalities may provide information to better understand the relationship between HTN and cognition.

SUMMARY

Adopting a life-course approach that considers SDoH, may help develop tailored interventions to manage HTN and prevent dementia syndromes. Where clinical trials to assess BP management from childhood to late-life are not feasible, observational studies remain the best available evidence.

Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development

Healthy development in the early years lays the foundations for children’s ongoing physical, emotional, and social development. Children develop in multiple contexts, including their local neighbourhood. Neighbourhood-built environment characteristics, such as housing, walkability, traffic exposure, availability of services, facilities, and parks, are associated with a range of health and wellbeing outcomes across the life course, but evidence with early years’ outcomes is still emerging. Data linkage techniques were used to assemble a dataset of spatial (objectively-measured) neighbourhood-built environment (BE) measures linked to participant addresses in the 2015 Australian Early Development Census (AEDC) for children living in the 21 most populous urban and regional Australian cities (n = 235,655) to help address this gap. This paper describes the methods used to develop this dataset. This linked dataset (AEDC-BE) is the first of its kind worldwide, enabling opportunities for identifying which features of the built environment are associated with ECD across Australia at scale, allow comparisons between diverse contexts, and the identification of where best to intervene. National data coverage provides statistical power to model real-world complexities, such as differences by city, state/territory, and remoteness. The neighbourhood-built environment can be modified by policy and practice at scale, and has been identified as a way to help reduce inequitable early childhood development outcomes.

Revisiting concepts of evidence in implementation science

Background

Evidence, in multiple forms, is a foundation of implementation science. For public health and clinical practice, evidence includes the following: type 1 evidence on etiology and burden; type 2 evidence on effectiveness of interventions; and type 3: evidence on dissemination and implementation (D&I) within context. To support a vision for development and use of evidence in D&I science that is more comprehensive and equitable (particularly for type 3 evidence), this article aims to clarify concepts of evidence, summarize ongoing debates about evidence, and provide a set of recommendations and tools/resources for addressing the “how-to” in filling evidence gaps most critical to advancing implementation science.

Main text

Because current conceptualizations of evidence have been relatively narrow and insufficiently characterized in our opinion, we identify and discuss challenges and debates about the uses, usefulness, and gaps in evidence for implementation science. A set of questions is proposed to assist in determining when evidence is sufficient for dissemination and implementation. Intersecting gaps include the need to (1) reconsider how the evidence base is determined, (2) improve understanding of contextual effects on implementation, (3) sharpen the focus on health equity in how we approach and build the evidence-base, (4) conduct more policy implementation research and evaluation, and (5) learn from audience and stakeholder perspectives. We offer 15 recommendations to assist in filling these gaps and describe a set of tools for enhancing the evidence most needed in implementation science.

Conclusions

To address our recommendations, we see capacity as a necessary ingredient to shift the field’s approach to evidence. Capacity includes the “push” for implementation science where researchers are trained to develop and evaluate evidence which should be useful and feasible for implementers and reflect community or stakeholder priorities. Equally important, there has been inadequate training and too little emphasis on the “pull” for implementation science (e.g., training implementers, practice-based research). We suggest that funders and reviewers of research should adopt and support a more robust definition of evidence. By critically examining the evolving nature of evidence, implementation science can better fulfill its vision of facilitating widespread and equitable adoption, delivery, and sustainment of scientific advances.

Partnering on the Social Determinants of Health With the Community Health Improvement Matrix

The research goal was to describe local health department community health improvement plans and hospital implementation strategies, assessing the extent to which they address the social determinants of health. In 2014, we used a grounded theory approach to conceptualize the extent of social determinant efforts in a purposive sample of improvement plans and implementation strategies (N = 12) taken from the community health assessment database pilot project (N = 502). We developed the Community Health Improvement Matrix (CHIM), categorizing public health activities according to target and prevention levels. In 2016, we surveyed NACCHO's Performance Improvement Workgroup (N = 9) using CHIM categories. In 2017, we tested the interrater reliability of the CHIM through an analysis of stories in 30 states (N = 101). We shared the CHIM in conferences, trainings, and focused conversations. The CHIM provides a framework for local public health partners to work together to address social determinants.

Assessing the Public's Health

Metrics are an important part of the assessment of public health. They include traditional measures of mortality and newly described summary measures to describe the disability engendered by diseases. Epidemiology has transformed the understanding of risk factors for disease; however, a holistic approach includes recognition of social determinants and the neighborhood and communities where the people most at risk reside.

Do racial inequities in infant mortality correspond to variations in societal conditions? A study of state-level income inequality in the U.S., 1992-2007

BACKGROUND

Prior studies have examined the association between income inequality and overall infant mortality rates (IMR). We examine effects of income inequality on racial inequities in IMR over the period 1992-2007 in the U.S.

METHODS

Race-specific state IMR data were obtained from 1992 to 2007, from which absolute and relative IMR inequities were calculated. Fixed and random effects models, adjusted for state-level median income, percent poverty, percent high school graduates, and unemployment rate, were used to determine contemporaneous and lagged state-level associations between income inequality and racial IMR inequities.

RESULTS

Racial IMR inequities varied significantly across the U.S. Contemporaneous income inequality was negatively associated with white IMR only. Two-year lagged income inequality was negatively associated with black IMR and had the most pronounced effect on racial inequities in IMR.

DISCUSSION

Future studies should consider lagged effects of income inequality on IMR and other health outcomes, and should examine other potential societal conditions that may account for state-level variations in racial IMR inequities.

Achieving universal health coverage in France: policy reforms and the challenge of inequalities

Since 1945, the provision of health care in France has been grounded in a social conception promoting universalism and equality. The French health-care system is based on compulsory social insurance funded by social contributions, co-administered by workers' and employers' organisations under State control and driven by highly redistributive financial transfers. This system is described frequently as the French model. In this paper, the first in The Lancet's Series on France, we challenge conventional wisdom about health care in France. First, we focus on policy and institutional transformations that have affected deeply the governance of health care over past decades. We argue that the health system rests on a diversity of institutions, policy mechanisms, and health actors, while its governance has been marked by the reinforcement of national regulation under the aegis of the State. Second, we suggest the redistributive mechanisms of the health insurance system are impeded by social inequalities in health, which remain major hindrances to achieving objectives of justice and solidarity associated with the conception of health care in France.

Non-pharmacological cancer pain interventions in populations with social disparities: a systematic review and meta-analysis

INTRODUCTION

Global advances in pain relief have improved the quality of life of cancer populations. Yet, variation in cancer pain outcomes has been found in populations with social disparities compared to mainstream groups. Populations with social disparities bear an inequitable distribution of resources such as ethnic minorities, low income individuals, and women in vulnerable circumstances.

RESEARCH PURPOSE

A systematic review and meta-analysis of the effect of non-pharmacological cancer pain interventions in cancer populations with social disparities of income, ethnicity, or gender.

METHODS

Randomized controlled trials, controlled trials, and before and after studies were targeted through comprehensive multidatabase searches. Two reviewers independently screened titles/abstracts for potentially relevant studies and reviewed the full text of relevant articles for inclusion. Data were extracted from included studies by one reviewer and verified by another reviewer. Four reviewers independently completed quality assessment. Studies were grouped by intervention. Effects were evaluated for heterogeneity and pooled.

RESULTS

The search found 5219 potential records. Full text of 26 reports was evaluated. Three randomized controlled trials (RCTs) met inclusion criteria, targeting ethnic minorities and underserved populations and/or women. Interventions included education, coaching, and online support groups. Studies found no significant differences in pain reduction between intervention and control groups or between ethnic minorities and their counterparts. A high risk of bias was found in all studies. Meta-analysis found no statistically significant difference on pain intensity among underserved groups, ethnic minorities, or between ethnic minorities and white counterparts.

CONCLUSION

Results show the need to examine supportive care interventions particularly in populations with social disparities.

Non-pharmacological cancer pain interventions in populations with social disparities: a systematic review and meta-analysis

INTRODUCTION

Global advances in pain relief have improved the quality of life of cancer populations. Yet, variation in cancer pain outcomes has been found in populations with social disparities compared to mainstream groups. Populations with social disparities bear an inequitable distribution of resources such as ethnic minorities, low income individuals, and women in vulnerable circumstances.

RESEARCH PURPOSE

A systematic review and meta-analysis of the effect of non-pharmacological cancer pain interventions in cancer populations with social disparities of income, ethnicity, or gender.

METHODS

Randomized controlled trials, controlled trials, and before and after studies were targeted through comprehensive multidatabase searches. Two reviewers independently screened titles/abstracts for potentially relevant studies and reviewed the full text of relevant articles for inclusion. Data were extracted from included studies by one reviewer and verified by another reviewer. Four reviewers independently completed quality assessment. Studies were grouped by intervention. Effects were evaluated for heterogeneity and pooled.

RESULTS

The search found 5219 potential records. Full text of 26 reports was evaluated. Three randomized controlled trials (RCTs) met inclusion criteria, targeting ethnic minorities and underserved populations and/or women. Interventions included education, coaching, and online support groups. Studies found no significant differences in pain reduction between intervention and control groups or between ethnic minorities and their counterparts. A high risk of bias was found in all studies. Meta-analysis found no statistically significant difference on pain intensity among underserved groups, ethnic minorities, or between ethnic minorities and white counterparts.

CONCLUSION

Results show the need to examine supportive care interventions particularly in populations with social disparities.

Educational attainment and longevity: results from the REGARDS U.S. national cohort study of blacks and whites

BACKGROUND

Educational attainment may be an important determinant of life expectancy. However, few studies have prospectively evaluated the relationship between educational attainment and life expectancy using adjustments for other social, behavioral, and biological factors.

METHOD

The data were from the REasons for Geographic and Racial Differences in Stroke study that enrolled 30,239 black and white adults (≥45 years) between 2003 and 2007. Demographic and cardiovascular risk information was collected and participants were followed for health outcomes. Educational attainment was categorized as less than high school education, high school graduate, some college, or college graduate. Proportional hazards analysis was used to characterize survival by level of education.

RESULTS

Educational attainment and follow-up data were available on 29,657 (98%) of the participants. Over 6.3 years of follow-up, 3673 participants died. There was a monotonically increasing risk of death with lower levels of educational attainment. The same monotonic relationship held with adjustments for age, race, sex, cardiovascular risk factors, and health behaviors. The unadjusted hazard ratio for those without a high school education in comparison with college graduates was 2.89 (95% CI = 2.64-3.18). Although adjustment for income, health behaviors, and cardiovascular risk factors attenuated the relationship, the same consistent pattern was observed after adjustment. The relationship between educational attainment and longevity was similar for black and white participants. The monotonic relationship between educational attainment and longevity was observed for all age groups, except for those aged 85 years or more.

CONCLUSIONS

Educational attainment is a significant predictor of longevity. Other factors including age, race, income, health behaviors, and cardiovascular risk factors only partially explain the relationship.

Macroeconomic policies and increasing social-health inequality in Iran

BACKGROUND

Health is a complex phenomenon that can be studied from different approaches. Despite a growing research in the areas of Social Determinants of Health (SDH) and health equity, effects of macroeconomic policies on the social aspect of health are unknown in developing countries. This study aimed to determine the effect of macroeconomic policies on increasing of the social-health inequality in Iran.

METHODS

This study was a mixed method research. The study population consisted of experts dealing with social determinants of health. A purposive, stratified and non-random sampling method was used. Semi-structured interviews were conducted to collect the data along with a multiple attribute decision-making method for the quantitative phase of the research in which the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was employed for prioritization. The NVivo and MATLAB softwares were used for data analysis.

RESULTS

Seven main themes for the effect of macroeconomic policies on increasing the social-health inequality were identified. The result of TOPSIS approved that the inflation and economic instability exert the greatest impact on social-health inequality, with an index of 0.710 and the government policy in paying the subsidies with a 0.291 index has the lowest impact on social-health inequality in the country.

DISCUSSION

It is required to invest on the social determinants of health as a priority to reduce health inequality. Also, evaluating the extent to which the future macroeconomic policies impact the health of population is necessary.

Early childhood caries and its relationship with perinatal, socioeconomic and nutritional risks: a cross-sectional study

Background

Socioeconomic, perinatal and other life cycle events can be important determinants of the health status of the individual and populations. This study aimed to assess the prevalence of early childhood caries (ECC), perinatal factors (gestational age, teenage pregnancy and birth weight), family income and nutritional risk in children.

Methods

A cross-sectional study in which 320 children were examined according to the criteria established by the World Health Organization. A previously validated questionnaire was used to obtain information from parents and guardians about family income, gestational age and birth weight. To check the nutritional risk, we used the criteria provided by the CDC (Center for Disease Control). For Statistics, Pearson’s, chi-square and the multivariate Poisson analyses were used to determine the association among variables.

Results

Approximately 20% of children had ECC, and the Poisson multivariate analyses indicated that family income (p = 0.009), birth weight (p < 0.001) and infant obesity (p < 0.001) were related to the increase of ECC, and gestational age was not significantly associated with ECC (p = 0.149). Pregnancy in adolescence was not included in the regression analyses model because it was not statistically significant in the chi-square test (p > 0.05).

Conclusion

The prevalence of ECC was related to low family income, premature birth and infant obesity.