Nurses' perception about their role in reducing health inequalities in community contexts.

OBJECTIVE: to understand nurses' perception about their role in reducing health inequalities in community contexts. METHOD: a qualitative study with a phenomenological approach addressed from Heidegger's Interpretive Theory and the health inequality settings. A total of 18 in-depth interviews were conducted with nurses working in health institutions devoted to community interventions. The following five-phase process was adopted for the qualitative data analysis: Accumulation; Disassembling; Reassembling; Interpretation; and Conclusion. RESULTS: four main topics that nurses mobilize to mitigate health inequalities in community settings were identified, namely: Competences to create, operationalize, monitor and assess health policies; Leadership and management for health and care processes at the individual and collective levels; Professionals that devise care strategies; and Care approach based on characteristics of the territory. CONCLUSION: nurses perceive that their role contributes significantly to reducing health inequalities in community settings based on the creation, operationalization, monitoring and assessment of health policies. From the sociocultural, economic and political characteristics of the territory, they prioritize actions in disadvantaged human groups in order to improve access, opportunities, continuity and quality in health.

Qualitative study of UK health and care professionals to determine resources and processes that can support actions to improve quality of data used to address and monitor health inequalities.

INTRODUCTION: Health inequalities in the UK are investigated and addressed by analysing data across socioeconomic factors, geography and specific characteristics, including those protected under law. It is acknowledged that the quality of data underpinning these analyses can be improved. The objective of this work was to gain insights from professionals working across the health and care sector in England into the type(s) of resource(s) that can be instrumental in implementing mechanisms to improve data quality into practice. DESIGN: Qualitative study based on semistructured interviews involving health and care professionals. SETTING: England. PARTICIPANTS: A total of 16 professionals, mainly from the East of England. RESULTS: Awareness of mechanisms that could be put in place to improve quality of data related to health inequalities was high among interviewees. However, logistical (eg, workforce time, capacity and funding) as well as data usage (eg, differences in data granularity, information governance structures) barriers impacted on implementation of many mechanisms. Participants also acknowledged that concepts and priorities around health inequalities can vary across the system. While there are resources already available that can aid in improving data quality, finding them and ensuring they are suited to needs was time-consuming. Our analysis indicates that resources to support the creation of a shared understanding of what health inequalities are and share knowledge of specific initiatives to improve data quality between systems, organisations and individuals are useful. CONCLUSIONS: Different resources are needed to support actions to improve quality of data used to investigate heath inequalities. These include those aimed at raising awareness about mechanisms to improve data quality as well as those addressing system-level issues that impact on implementation. The findings of this work provide insights into actionable steps local health and care services can take to improve the quality of data used to address health inequalities.

Re-politicizing the WHO's social determinants of health framework.

Although the World Health Organization's (WHO's) framework on social and structural determinants of health and health inequities (SSDHHI) has done much to raise awareness of these determinants, it does not go far enough in considerations of politics and power. The framework has become more de-politicized since its publication, with the definition of social determinants shifting toward downstream and individualized factors. In the meantime, new research fields on legal, commercial and political determinants of health and health inequities have emerged; however, these have not become integrated adequately into broader SSDHHI frameworks. To address these challenges, we argue for a re-politicization and an expansion of the WHO's framework by including the agents who have power over shaping structural determinants and the ways they use power to shape these determinants. We also provide a more detailed conceptualization of structural determinants to facilitate research. We propose a guideline for evaluating studies according to the extent to which they point upstream versus downstream and incorporate agents and considerations of power. We then use this framework to encourage more research on associations among agents, mechanisms of power, and structural determinants; how changes in structural determinants affect power dynamics among agents; and a wider focus on structural determinants beyond laws and policies, such as broad economic and sociopolitical systems. We also urge researchers to consider societal and institutional forces shaping their research with respect to SSDHHI. Research based on this framework can be used to provide evidence for advocacy for structural changes and to build more just systems that respect the fundamental human right to a healthy life.

Exploratory Online Survey Regarding Perceptions of Health Inequities Influenced by Social Determinants of Health Among Cardiovascular Disease Patients.

Despite establishing conventional risk factors and preventive medicine for cardiovascular diseases (CVD), there remains a notable lack of research for identifying social determinants of health (SDOH). The aim of this study was to identify the SDOH domains contributing to health inequities perceived by Japanese CVD citizens. An online survey was conducted among 2,083 Japanese CVD patients from November 7 to 13, 2023, to assess their perceptions of 19 social determinants of health (SDOH) domains and their impact on health inequities. Using the 5-point Likert scale, a high level of agreement was defined as over 50% selecting "Agree" or "Strongly Agree." The "Health inequity perception score (HIPS)" was calculated by assigning 1 point for 'Agree' and 2 points for 'Strongly Agree.' Additionally, patient factors that defined a group with HIPS above the median were also evaluated. High agreement was noted in 7 out of 19 domains: "Employment" (61%), "Food Insecurity" and "Environmental Condition" (each at 60%), "Poverty" (58%), "Early Childhood Development and Education" (57%), "Housing Instability and Quality" (56%), and "Access to Health Service" (52%). Young age, high annual income, high educational level, and living alone were significantly associated with high HIPS. This study highlights that several SDOH factors commonly acknowledged in Western contexts are also recognized as contributors to health inequities among Japanese CVD patients.

Inequities in sleep duration and quality among adolescents in Canada.

BACKGROUND: Several recent global events may have impacted adolescent sleep and exacerbated pre-existing disparities by social positions (i.e., social roles, identity or sociodemographic factors, and/or group memberships that are associated with power and oppression due to the structures and processes in a given society at given time). Current understanding of sleep among adolescents is critical to inform interventions for a more equitable future, given the short and long-term consequences of inadequate sleep on health and well-being. This study aimed to provide contemporary evidence on sleep disparities by key social positions among adolescents in Canada. METHODS: Cross-sectional analyses were conducted using self-reported data collected during 2020-2021 (the first full school year after the COVID-19 pandemic onset) from 52,138 students (mean [SD] age = 14.9 [1.5]) attending 133 Canadian secondary schools. Multiple regression models were used to test whether sleep quality (how well students slept during past week), duration (weekday, weekend, weighted daily average), and guideline adherence (8-10 h/day) differed by sex and gender, race and ethnicity, and socioeconomic status (SES). RESULTS: Females reported a mean [95% CI] difference of -1.7 [-3.7, 0.4] min/day less sleep on weekdays than males, but 7.1 [4.5, 9.6] min/day more sleep on weekends, resulting in no difference in average daily sleep between males and females. Females were less likely to report good quality sleep compared to males (AOR = 0.57 [0.54, 0.60]). SES followed a generally monotonic trend where higher scores were associated with more sleep on weekdays (Δhighest: lowest = -28.6 [-39.5, -17.6]) and weekends (Δhighest: lowest = -17.5 [-3.8, -31.2]) and greater likelihood of higher sleep quality (AORhighest: lowest = 3.04 [2.35, 3.92]). Relative to White adolescents, weekday and average daily sleep duration were lower among all other racial identities; mean differences ranged from ∼ 5-15 min/day, with Black students reporting the least sleep. CONCLUSIONS: Differences in sleep duration and quality were most profound among adolescents from the lowest and highest SES. Racial disparities were more evident on weekdays. Compensatory weekend sleep appears more pronounced in females than males. Addressing sleep inequities is critical, as a robust predictor of multiple health outcomes.

Exploring health inequities through the actor-network theory lens.

Social theory plays an important role in the nursing discipline and nursing inquiry as it helps conceptually embed nursing in the larger picture of the social world. For example, a broad category of critical theory provides a unique lens for uncovering social conditions of inequity and oppression. Among the sociological theories, actor-network theory (ANT) is an approach to research and analysis that has recently gained interest among nurse philosophers and researchers. Studies guided by ANT seek to understand phenomena of interest as constituted within the relationships between human and nonhuman actors to understand how care practices are co-created/enacted and how they can be made more humane. In this paper, we describe the benefits of ANT for examining healthcare access for incarcerated individuals with life-limiting illnesses accessing palliative care and for people using illicit drugs. We argue that attention to the materiality of care practices can contribute to efforts of advancing health equity for these groups.

Sociodemographic determinants of health inequities in low back pain: a narrative review.

Background: Health equity is defined as the absence of unjust and avoidable disparities in access to healthcare, quality of care, or health outcomes. The World Health Organization (WHO) has developed a conceptual framework that outlines the main causes of health inequalities and how these contribute to health inequities within a population. Despite the WHO implementing health equity policies to ensure accessibility and quality of healthcare services, disparities persist in the management of patients suffering from low back pain (LBP). The objective of this study was to review the existing evidence on the impact of health inequities on the care trajectories and treatments provided to individuals with LBP. Methods: A narrative review was performed, which included a literature search without language and study design restrictions in MEDLINE Ovid database, from January 1, 2000, to May 15, 2023. Search terms included free-text words for the key concepts of "low back pain," "health inequities," "care pathways," and "sociodemographic factors." Results: Studies have revealed a statistically significant association between the prevalence of consultations for LBP and increasing age. Additionally, a significant association between healthcare utilization and gender was found, revealing that women were more likely to seek medical attention for LBP compared to men. Furthermore, notable disparities related to race and ethnicity were identified, more specifically in opioid prescriptions, spinal surgery recommendations, and access to complementary and alternative medical approaches for LBP. A cross-sectional analysis found that non-Hispanic White individuals with chronic LBP were more likely to be prescribed one or more pharmacological treatments. Lower socioeconomic status and level of education, as well as living in lower-income areas were also found to be associated with greater risks of receiving non-guideline concordant care, including opioid and MRI prescriptions, before undergoing any conservative treatments. Conclusion: Persistent inequalities related to sociodemographic determinants significantly influence access to care and care pathways of patients suffering from LBP, underscoring the need for additional measures to achieve equitable health outcomes. Efforts are needed to better understand the needs and expectations of patients suffering from LBP and how their individual characteristics may affect their utilization of healthcare services.

Project GIVE: using a virtual genetics service platform to reduce health inequities and improve access to genomic care in an underserved region of Texas.

BACKGROUND: The utilization of genomic information to improve health outcomes is progressively becoming more common in clinical practice. Nonetheless, disparities persist in accessing genetic services among ethnic minorities, individuals with low socioeconomic status, and other vulnerable populations. The Rio Grande Valley (RGV) at the Texas-Mexico border is predominantly Hispanic/Latino with a high poverty rate and very limited access to genetic services. Funded by the National Center for Advancing Translational Sciences, Project GIVE (Genetic Inclusion by Virtual Evaluation) was launched in 2022 to reduce the time to diagnosis and increase provider knowledge of genomics in this region, with the goal of improving pediatric health outcomes. We describe our experience of establishing a virtual pediatric genomic service in this region to expeditiously identify, recruit, and evaluate pediatric patients with undiagnosed diseases. METHODS: We have utilized an innovative electronic health record (EHR) agnostic virtual telehealth and educational platform called Consultagene to receive referrals from healthcare providers in the RGV. Using this portal, genetic services, including virtual evaluation and genome sequencing (GS), are being delivered to children with rare diseases. The study has also integrated effective methods to involve and educate community providers through in-person meetings and Continuing Professional Education (CPE) events. RESULTS: The recruitment efforts have proven highly successful with the utilization of Consultagene in this medically underserved region. The project's ongoing engagement efforts with local healthcare providers have resulted in progressively more referrals to the study over time, thus improving inclusion and access to genomic care in the RGV. Additionally, the curated CPE content has been well received by healthcare providers in the region. CONCLUSIONS: Project GIVE study has allowed advanced genetic evaluation and delivery of GS through the virtual Consultagene portal, effectively circumventing the recognized socioeconomic and logistical barriers to accessing genetic services within this border community.

[Social inequalities in health]. / Les inégalités sociales de santé.

Social inequalities in health include all the impacts caused by the different social characteristics of individuals on their health. They strongly influence the health status of the French population. Socio-professional category, gender and ethnic origin are all determining factors in the health of people who, however, are not dependent on the healthcare system. Action in the healthcare field will therefore focus on the effects of these inequalities, to limit the number of people who forego healthcare, and to promote collective and individual health.

Structural Racism and Obesity-Related Cancer Inequities in the United States: Challenges and Research Priorities.

Structural racism has been identified as a fundamental cause of health disparities. For example, racial, ethnic, and economic neighborhood segregation; concentrated poverty; community disinvestment; and sociocultural context influence obesity and cancer disparities. Effects of structural racism are also evident through neighborhood obesogenic conditions such as limited access to affordable and healthy foods and physical activity opportunities within segregated communities that contribute to obesity and obesity-related cancer disparities. This article describes and expands on cross-cutting themes raised during a webinar held by the National Cancer Institute (NCI): (1) how structural factors, including neighborhood segregation and obesogenic conditions within racial and ethnic disadvantaged communities, influence disparities in the United States; (2) current research challenges and best ways to address them; and (3) selected priorities of the NCI aimed at addressing multilevel and intersecting factors that influence obesity-related cancer disparities. Further research is needed to understand how residential segregation and neighborhood obesogenic conditions influence cancer prevention and control across the continuum. Identifying the best approaches to address obesity and cancer disparities using social determinants of health framework and community-engaged approaches guided by a structural racism lens will allow researchers to move beyond individual-level approaches.

Medical Schools Are Updating Their Curricula as Climate Change Becomes Impossible to Ignore.

This Medical News article discusses the introduction of coursework on climate change in medical schools, residency programs, and beyond.

Exploring health inequalities in Gypsy and Traveller communities in the UK.

Health inequalities between groups of people are often unjust and avoidable and are influenced by social determinants of health, the non-medical factors that influence health outcomes. Gypsy and Traveller communities experience significant health inequalities, including barriers to accessing healthcare services and suboptimal health outcomes compared with the general population. This article provides an overview of health inequalities in relation to Gypsy and Traveller communities and examines three social determinants of health - discrimination and racism, accommodation and access to healthcare - that influence these inequalities. The authors propose that accurate data collection as well as delivery of culturally competent health services and care may facilitate access to healthcare for Gypsy and Traveller communities and potentially reduce health inequalities.

How can health systems approach reducing health inequalities? An in-depth qualitative case study in the UK.

BACKGROUND: Addressing socioeconomic inequalities in health and healthcare, and reducing avoidable hospital admissions requires integrated strategy and complex intervention across health systems. However, the understanding of how to create effective systems to reduce socio-economic inequalities in health and healthcare is limited. The aim was to explore and develop a system's level understanding of how local areas address health inequalities with a focus on avoidable emergency admissions. METHODS: In-depth case study using qualitative investigation (documentary analysis and key informant interviews) in an urban UK local authority. Interviewees were identified using snowball sampling. Documents were retrieved via key informants and web searches of relevant organisations. Interviews and documents were analysed independently based on a thematic analysis approach. RESULTS: Interviews (n = 14) with wide representation from local authority (n = 8), NHS (n = 5) and voluntary, community and social enterprise (VCSE) sector (n = 1) with 75 documents (including from NHS, local authority, VCSE) were included. Cross-referenced themes were understanding the local context, facilitators of how to tackle health inequalities: the assets, and emerging risks and concerns. Addressing health inequalities in avoidable admissions per se was not often explicitly linked by either the interviews or documents and is not yet embedded into practice. However, a strong coherent strategic integrated population health management plan with a system's approach to reducing health inequalities was evident as was collective action and involving people, with links to a "strong third sector". Challenges reported include structural barriers and threats, the analysis and accessibility of data as well as ongoing pressures on the health and care system. CONCLUSION: We provide an in-depth exploration of how a local area is working to address health and care inequalities. Key elements of this system's working include fostering strategic coherence, cross-agency working, and community-asset based approaches. Areas requiring action included data sharing challenges across organisations and analytical capacity to assist endeavours to reduce health and care inequalities. Other areas were around the resilience of the system including the recruitment and retention of the workforce. More action is required to embed reducing health inequalities in avoidable admissions explicitly in local areas with inaction risking widening the health gap.