Role Of Social Determinants Of Health Research Articles

Gender, race, and economic factors influencing screening practices in hidradenitis suppurativa: a cross-sectional analysis.

Hidradenitis suppurativa (HS) is a chronic inflammatory skin condition that significantly impacts patients' quality of life. Despite its substantial burden, HS remains underdiagnosed and undertreated, particularly among marginalized populations. This study aimed to elucidate the primary social determinants of health (SDOH) and structural determinants of health (StDOH) influencing rates and patterns of screening for patients diagnosed with HS. Using data from the All of Us Research Program database, participants with HS were identified using ICD-10 codes and stratified based on various sociodemographic factors, including race, gender, and income. The primary outcome variables were participation in viral screening and disease screening among HS patients. Statistical analyses were performed to assess the relationship between sociodemographic factors and screening practices. Income and gender had significant impacts on screening practices. Higher-income patients were more likely to receive necessary disease screening and less likely to receive unnecessary disease screening compared to lower-income patients. Non-male patients had significantly higher rates of unnecessary disease and viral screening than male patients. While differences in screening practices within each income level were significant, there were no significant differences across different income brackets or racial groups. These findings suggest that subjectivity associated with individual physicians' recommendations may contribute to disparities in screening outcomes, especially in lower-income and non-male HS patients. The study highlights the need for more clearly delineated screening guidelines and continued research on the role of SDOH in improving patient health outcomes.

Cancer mortality and geographic inequalities: a detailed descriptive and spatial analysis of social determinants across US counties, 2018–2021

ObjectiveIn the United States, cancer mortality rates continue to decline, yet geographic and racial disparities persist and are particularly evident in the Delta region, characterized by high economic distress and disease burden. We examined cancer mortality patterns by demographic groups across geographic region (Delta vs non-Delta) and investigated the influence of macro-level social determinants of health (SDoH) in cancer death. Study design and methodsThis observational study included cancer death records of individuals aged ≥20 years from 2018 to 2021 in the United States. County-level characteristics were ascertained through the linkage of multiple national administrative and community surveys. We estimated age-standardized mortality rates (ASR) and rate ratios. We calculated the adjusted relative risks by county-level SDoH (geographic region, rurality, household income, income inequality, health insurance, and education) and other factors using age-adjusted multivariate quasi-Poisson regression. ResultsIn 2018–2021, approximately 2.4 million cancer deaths occurred in the United States. We observed important declines in the Black-White disparities, from 16.6% in 2018 (ASR = 289.9 vs 248.6 per 100,000) to 12.1% in 2021 (281.1 vs 250.8) in the Delta region and from 15.9% (254.9 vs 219.9) to 10.7% (240.6 vs 217.3) in the non-Delta region, though Black men in the Delta region remained the highest rate (ASR2021 = 346.9 per 100,000). County-level analyses provided strong evidence of geographic inequality and the role of SDoH, particularly education and income inequality. ConclusionsUnfavorable SDoH are associated with increased cancer death risk. Region-specific health policies and interventions in the Delta region are essential to advance cancer health equity.

Sociodemographic Factors are Associated with Care Delivery and Outcomes in Pediatric Severe Sepsis.

Sepsis is a leading cause of morbidity and mortality in the United States and disparate outcomes exist between racial/ethnic groups despite improvements in sepsis management. These observed differences are often related to social determinants of health (SDoH). Little is known about the role of SDoH on outcomes in pediatric sepsis. This study examined the differences in care delivery and outcomes in children with severe sepsis based on race/ethnicity and neighborhood context (as measured by the social vulnerability index). This retrospective, cross-sectional study was completed in a quaternary care children's hospital. Patients 18 years old or younger who were admitted between May 1, 2018, and February 28, 2022, met the improving pediatric sepsis outcomes (IPSO) collaborative definition for severe sepsis. Composite measures of social vulnerability, care delivery, and clinical outcomes were stratified by race/ethnicity. The primary outcome of interest was admission to the PICU. Secondary outcomes were sepsis recognition and early goal-directed therapy (EGDT). A total of 967 children met the criteria for IPSO-defined severe sepsis, of whom 53.4% were White/non-Hispanic. Nearly half of the cohort (48.7%) required PICU admission. There was no difference in illness severity at PICU admission by race (1.01 vs. 1.1, p = 0.18). Non-White race/Hispanic ethnicity was independently associated with PICU admission (odds ratio [OR] 1.35 [1.01-1.8], p = 0.04). Although social vulnerability was not independently associated with PICU admission (OR 0.95 [0.59-1.53], p = 0.83), non-White children were significantly more likely to reside in vulnerable neighborhoods (0.66 vs. 0.38, p < 0.001). Non-White race was associated with lower sepsis recognition (87.8% vs. 93.6%, p = 0.002) and less EGDT compliance (35.7% vs. 42.8%, p = 0.024). Non-White race/ethnicity was independently associated with PICU admission. Differences in care delivery were also identified. Prospective studies are needed to further investigate these findings.

The Role of Patient-Reported Social Factors in Promoting Buprenorphine Consistency.

While medications for opioid use disorder (MOUD) reduce overdose risk, inconsistent use can lead to substance use recurrence and compromise achieving optimal opioid use disorder (OUD) treatment outcomes. Research is limited on patient-reported perspectives on consistency of MOUD self-administration at home and its related social factors. The primary aim was to report on rates of patient-reported buprenorphine consistency among a sample receiving outpatient OUD treatment. The secondary aim was to explore differences in social determinants of health (SDOH) between patients reporting and not reporting lapses in buprenorphine dosing. This is a secondary analysis from a cross-sectional survey and medical record abstraction study (N=96). The primary outcome was patient-reported buprenorphine consistency, as defined as no lapses in buprenorphine dosing in a preceding 28-day period. SDOH survey items were adapted from the Healthy People 2030 framework. Participants (n= 96) were three quarters female (74.0%); most identified as white (54.2%) or Black (38.9%). Most reported not missing any buprenorphine doses over the preceding 28-days (88.5%). Demographic and clinical variables were similar between buprenorphine consistency groups. Participants reporting no missed doses reported few negative social determinants of health (examples: 90% not needing help reading hospital materials and not being afraid that they would be hurt in their apartment building or house). These findings reinforce the known role of SDOH as strong predictors of treatment outcomes for chronic diseases (like substance use disorders), beyond contributions by demographic or clinical variables alone. Future MOUD research should incorporate patient perspectives with the goal of informing patient-centered interventions. Promoting consistency in buprenorphine dosing using strategies grounded in patient experience could be an avenue to promote positive OUD treatment outcomes.

Disparities in Lupus and the Role of Social Determinants of Health: Current State of Knowledge and Directions for Future Research.

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease. The complex relationships between race and ethnicity and social determinants of health (SDOH) in influencing SLE and its course are increasingly appreciated. Multiple SDOH have been strongly associated with lupus incidence and outcomes and contribute to health disparities in lupus. Measures of socioeconomic status, including economic instability, poverty, unemployment, and food insecurity, as well as features of the neighborhood and built environment, including lack of safe and affordable housing, crime, stress, racial segregation, and discrimination, are associated with race and ethnicity in the US and are risk factors for poor outcomes in lupus. In this scientific statement, we aimed to summarize current evidence on the role of SDOH in relation to racial and ethnic disparities in SLE and SLE outcomes, primarily as experienced in the U.S. Lupus Foundation of America's Health Disparities Advisory Panel, comprising 10 health disparity experts, including academic researchers and patients, who met 12 times over the course of 18 months in assembling and reviewing the data for this study. Sources included articles published from 2011 to 2023 in PubMed, Centers for Disease Control and Prevention data, and bibliographies and recommendations. Search terms included lupus, race, ethnicity, and SDOH domains. Data were extracted and synthesized into this scientific statement. Poorer neighborhoods correlate with increased damage, reduced care, and stress-induced lupus flares. Large disparities in health care affordability, accessibility, and acceptability exist in the US, varying by region, insurance status, and racial and minority groups. Preliminary interventions targeted social support, depression, and shared-decision-making, but more research and intervention implementation and evaluation are needed. Disparities in lupus across racial and ethnic groups in the US are driven by SDOH, some of which are more easily remediable than others. A multidimensional and multidisciplinary approach involving various stakeholder groups is needed to address these complex challenges, address these diminish disparities, and improve outcomes.

Opioid Literacy Among Individuals Living in Rural Alabama: The Role of Social Determinants of Health.

Using the social determinants of health (SDOH) framework, the current study aimed to examine opioid literacy and the role of SDOH on opioid literacy. This study used a cross-sectional survey design to collect self-reported data from people living in four rural Alabama counties affected by the opioid crisis. Participants reported moderate levels of opioid knowledge. There were no significant predictors of general knowledge. For opioid overdose knowledge, the strongest individual predictors were educational level (Bachelor's degree) and self-rated financial strain, which contributed to higher scale scores. For the models evaluating opioid overdose response knowledge, the strongest individual predictors were minority status (inverse), self-rated mental health, and interpersonal safety. Our findings indicate that SDOH, such as financial strain and interpersonal safety, are significantly linked to opioid literacy. Educational efforts to enhance opioid literacy, proper usage, and management in rural counties should consider SDOH factors. Findings further outline the team's integrative approach to developing intervention strategies for opioid treatment and recovery that can benefit the northwest Alabama community and beyond. [Journal of Psychosocial Nursing and Mental Health Services, 61(10), 52-59.].

Do social determinants influence post-stroke aphasia outcomes? A scoping review

Purpose To conduct a scoping review on five individual social determinants of health (SDOHs): gender, education, ethnicity, socioeconomic status, and social support, in relation to post-stroke aphasia outcomes. Materials and methods A comprehensive search across five databases was conducted in 2020 and updated in 2022. Twenty-five studies (3363 participants) met the inclusion criteria. Data on SDOHs and aphasia outcomes were extracted and analysed descriptively. Results Twenty studies provide information on SDOH and aphasia recovery outcomes. Five studies provide insights on SDOH and response to aphasia intervention. Research on SDOH and aphasia recovery has predominantly focussed solely on language outcomes (14 studies), with less research on the role of SDOH on activity, participation, and quality of life outcomes (6 studies). There is no evidence to support a role for gender or education on language outcomes in the first 3 months post stroke. SDOHs may influence aphasia outcomes at or beyond 12 months post onset. Conclusions Research on SDOHs and aphasia outcomes is in its infancy. Given SDOHs are modifiable and operate over a lifetime, and aphasia is a chronic condition, there is a pressing need to understand the role of SDOHs on aphasia outcomes in the long term.

Equity in Psychosocial Outcomes and Care for Racial and Ethnic Minorities and Socioeconomically Disadvantaged People With Diabetes.

The role of social determinants of health (SDOH) in promoting equity in diabetes prevalence, incidence, and outcomes continues to be documented in the literature. Less attention has focused on disparities in psychosocial aspects of living with diabetes and the role of SDOH in promoting equity in psychosocial outcomes and care. In this review, the authors describe racial/ethnic and socioeconomic disparities in psychosocial aspects of living with diabetes, discuss promising approaches to promote equity in psychosocial care, and provide future research directions.

Safe Neighborhoods and Supportive Communities Protect Children from the Health Effects of Adverse Childhood Experiences (ACEs).

Protective factors such as safe, stable, nurturing relationships and environments can prevent the long-term effects of adverse childhood experiences (ACEs). Recently, policymakers and practitionershave sought to better understand environmental level influences on exposure to ACEs, given the crucial role ofsocial determinants of health in alleviating racial health inequities. Thus, this study seeks to understand how ACEs can be mitigated through neighborhood-level factors; it examines the relationships among ACEs, safe and supportive neighborhoods, and overall health status by race/ethnicity using a national data sample. Data were obtained from 30,530 households with children who participated in the 2018 National Survey for Children's Health, a nationally representative survey. Using multivariable logistic regression, safe and supportive neighborhoods were assessed as potential moderators of the association between ACEs and overall health status by race/ethnicity. Two separate models were run for each moderator, controlling for sex, age, and gender of the child. The presence of a safe neighborhood weakened the association between ACEs and overall health status. This was demonstrated by lower odds of experiencing poor health. The presence of a supportive neighborhood showed a similar pattern. However, these patterns varied when disaggregating the data by race/ethnicity. This study underscores the importance of community-level prevention and intervention efforts to mitigate the health effects of ACEs. Public health efforts seeking to prevent poor health outcomes should consider the socio-environmental influences on health behaviors across the lifespanand continue to address the varying needs ofhistorically disadvantaged populations.

Impact of social pediatrics rotation on residents’ understanding of social determinants of health

ABSTRACT Social Pediatrics is the newest mandatory rotation in the General Pediatrics residency program at the University of Alberta. Evaluation of the residents include a written reflective assignment, asking them to identify assets and disparities that have influenced the health of a child encountered on the rotation. While there are many published papers on reflective writing , few papers are found in the area of how social determinants of health (SDoH) impact an individual’s overall health. This study examines the question: how has exploring SDoH during the Social Pediatrics rotation led to changes in residents’ awareness of their own practice of pediatrics? Grounded theory was used to analyse 35 reflections from residents who had submitted them as a mandatory assignment at the end of their rotation. In addition, 10 semi-structured telephone interviews were conducted to further understand residents’ perceptions. Interviews were transcribed verbatim and analysis of the reflections and interviews was guided by grounded theory using open, axial, and selective coding. Analyses of written reflections revealed the following categories: 1) judgment/bias, 2) systemic challenges, 3) advocacy, and 4) a sense that everyone is doing their best. Interview data reinforced overlapping categories of bias, systemic challenges and advocacy in addition to two new categories: 1) increased exposure and knowledge of specific disadvantaged populations, and 2) understanding impact of SDoH on overall health. Categories that were generated highlight the importance of residents’ education regarding the role of SDoH on overall health and management plans. They became aware of structural determinants of health working with health-care professionals who were advocates for the communities they worked with. Analysis of residents’ written reflection assignments and follow-up interviews revealed the value of reflective practice in physician development and reinforced the benefit of fostering experiences not typically encountered in traditional clinical learning environments.

Social Determinants of Health in Asthma Through the Life Course

There is strong evidence supporting the influence of social determinants of health (SDOH) on the development and progression of asthma. SDOH are defined as conditions in which people are born, grow up, live, work, and age, which influence their opportunity to be healthy, risk of illness, and life expectancy. The goal of this article was to describe 2 case-based approaches (pediatric and adult) to assessing and addressing SDOH in asthma across the life course and in community settings. As asthma providers and specialists, the role of SDOH is complex in our clinical care; however, it is critical to address social needs identified through clinical care for our patients with asthma. Clinical-community partnerships, through grant and cost-sharing mechanisms with resource agencies, are necessary to ameliorate social needs for patients and their communities and have the potential to improve asthma outcomes. Although this is a unique and exciting time in health care to promote individual and population health, knowledge gaps remain, including best practices to integrate holistic SDOH care into the care of patients with asthma.

Association of lung cancer incidence and COVID-19 case fatality with income level in Ohio.

110 Background: Social determinants of health (SDOH) have an impact of health and quality-of-life. However, most models of clinical disease and risk calculators do not incorporate SDOH. Many diseases have residual, unexplained risk after known risk factors have been incorporated. SDOH is important component of this residual risk and resources should be allocated to study their relation to disease. Here, we investigate the role of SDOH on the incidence and severity of respiratory diseases by evaluating the association of income level with lung cancer incidence and COVID-19 case fatality ratio in the state of Ohio. Methods: Socioeconomic data for the state of Ohio was manually collected. Lung cancer incidence was acquired from the National Cancer Institute’s online portal. COVID-19 case fatality ratios were downloaded from Johns Hopkins University’s GitHub repository. All three datasets contained complete information for each of Ohio’s 88 counties and were merged by county name. The first two datasets are up-to-date as of 2019, while the COVID-19 data was up-to-date as of 22 May 2021. Data manipulation, visualization, and statistical inference was conducted in the R programming language. Results: Median county-level income across Ohio was $52,722 (IQR: 47,273-59,166). Median county-level lung cancer incidence was 68.4 per 100,000 population (IQR: 62.0-80.6) and median COVID-19 case fatality ratio was 1.98% (IQR: 1.65-2.36). Data for counties with highest and lowest median income are shown in table. Lung cancer incidence and COVID-19 case fatality ratio were not significantly correlated ( n = 88, p &gt; 0.05). Median income was significantly correlated with both, lung cancer incidence ( r = -0.49, p &lt; 0.001) and COVID-19 case fatality ratio ( r = -0.41, p &lt; 0.001). This implies that 24% of the variation in lung cancer incidence and 17% of the variation in COVID-19 case fatality ratio in counties across Ohio can be explained by median county income. Conclusions: SDOH is significantly associated with the incidence and severity of infectious and oncologic respiratory diseases. This association is strengthened since the disease variables themselves are uncorrelated, decreasing the likelihood of confounding. COVID-19 incidence was not used because of uncertainty in the mechanism of SDOH affecting transmission. However, theories suggest that oncologic incidence and infectious disease treatment are affected by SDOH. We validate these theories and encourage the incorporation of SDOH into clinical care and public health. Future directions include testing the association between income level and lung cancer severity in clinical datasets from medical institutions in Ohio.[Table: see text]

Social determinants of multimorbidity in Jamaica: application of latent class analysis in a cross-sectional study

BackgroundNon-communicable disease (NCD) multimorbidity is associated with impaired functioning, lower quality of life and higher mortality. Susceptibility to accumulation of multiple NCDs is rooted in social, economic and cultural contexts, with important differences in the burden, patterns, and determinants of multimorbidity across settings. Despite high prevalence of individual NCDs within the Caribbean region, exploration of the social epidemiology of multimorbidity remains sparse. This study aimed to examine the social determinants of NCD multimorbidity in Jamaica, to better inform prevention and intervention strategies.MethodsLatent class analysis (LCA) was used to examine social determinants of identified multimorbidity patterns in a sample of 2551 respondents aged 15–74 years, from the nationally representative Jamaica Health and Lifestyle Survey 2007/2008. Multimorbidity measurement was based on self-reported presence/absence of 11 chronic conditions. Selection of social determinants of health (SDH) was informed by the World Health Organization’s Commission on SDH framework. Multinomial logistic regression models were used to estimate the association between individual-level SDH and class membership.ResultsApproximately one-quarter of the sample (24.05%) were multimorbid. LCA revealed four distinct profiles: a Relatively Healthy class (52.70%), with a single or no morbidity; and three additional classes, characterized by varying degrees and patterns of multimorbidity, labelled Metabolic (30.88%), Vascular-Inflammatory (12.21%), and Respiratory (4.20%). Upon controlling for all SDH (Model 3), advancing age and recent healthcare visits remained significant predictors of all three multimorbidity patterns (p < 0.001). Private insurance coverage (relative risk ratio, RRR = 0.63; p < 0.01) and higher educational attainment (RRR = 0.73; p < 0.05) were associated with lower relative risk of belonging to the Metabolic class while being female was a significant independent predictor of Vascular-Inflammatory class membership (RRR = 2.54; p < 0.001). Material circumstances, namely housing conditions and features of the physical and neighbourhood environment, were not significant predictors of any multimorbidity class.ConclusionThis study provides a nuanced understanding of the social patterning of multimorbidity in Jamaica, identifying biological, health system, and structural determinants as key factors associated with specific multimorbidity profiles. Future research using longitudinal designs would aid understanding of disease trajectories and clarify the role of SDH in mitigating risk of accumulation of diseases.

Abstract S12-06: Social Determinants of Health (SDOH) barriers as predictors of intent to vaccinate for COVID-19 in a vulnerable population

Abstract Purpose: Determine the role of social determinants of health (SDOH), including socioeconomic status (SES) (education, income in predicting intent to vaccinate for COVID-19 among a diverse community-based population, oversampled for cancer survivors in Connecticut (CT). Background: Race, ethnicity, and the SDOH (e.g., food insecurity, housing instability, trouble paying utilities bills) have a known impact on COVID-19 incidence, morbidity, and mortality. Although the impact on cancer survivors is not as well understood, this population may also face disproportionately severe outcomes. To our knowledge, there are no published studies that address intention to vaccinate in community based populations that are predominantly African American/Black (AA) or Hispanic/Latinx (H/L), nor in the cancer survivors who live in these communities. Prior studies have suggested that some vulnerable populations have lowered willingness to vaccinate (e.g., for influenza) than other groups. This study will explore the role of the high burden of SDOH barriers and selected socio-cultural factors such as perceived risk, medical mistrust, and source of health information. Methods: Data for this study are from 252 CT residents, collected from August - December, 2020 using Qualtrics, an online survey platform. Using an extensive network of community partners, we recruited through list serves and social media, targeting communities known to be most impacted by the pandemic. The intent was to enroll a population that was similar to the racial/ethnic sociodemographic profile of the city of New Haven, while oversampling cancer survivors. Using SAS 9.4, we conducted descriptive and multivariate analyses to identify the role of SDOH in willingness to vaccinate. Results: The study population was disproportionately African American/Black (23.5%) and Hispanic/Latinx (17.5%) and included 83 (32.9%) cancer survivors. In this high-risk population, 38.9% of the sample were unwilling or uncertain whether they would vaccinate against Covid-19 in the future. In multivariate adjusted model, individuals reporting at least one SDOH barrier (food insecurity, trouble paying utilities bills, or housing instability) were significantly less likely to vaccinate (odds ratio=2.26;95% Confidence Interval 1.17-4.36). Other significant predicators included low perceived risk and lacking confidence in information provided through the health care system. Conclusion: Social determinants of health play a critical role in predicting intent to vaccinate for COVID-19. Special efforts are needed to ensure that vulnerable populations understand their individual risk, the benefits and risks of getting the COVID-19 vaccine, with interventions aimed at enlisting trusted entities that may not be recognized as traditional sources of health information. Citation Format: Beth A. Jones, William Eger, Sakinah Suttiratana, Roy Herbst, Eiman Ibrahim, Hannah Behringer, Rachel A. Clare. Social Determinants of Health (SDOH) barriers as predictors of intent to vaccinate for COVID-19 in a vulnerable population [abstract]. In: Proceedings of the AACR Virtual Meeting: COVID-19 and Cancer; 2021 Feb 3-5. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(6_Suppl):Abstract nr S12-06.

Gaining a deeper understanding of social determinants of preterm birth by integrating multi-omics data.

In the US, high rates of preterm birth (PTB) and profound Black-White disparities in PTB have persisted for decades. This review focuses on the role of social determinants of health (SDH), with an emphasis on maternal stress, in PTB disparity and biological embedding. It covers: 1) PTB disparity in US Black women and possible contributors; 2) The role of SDH, highlighting maternal stress, in the persistent racial disparity of PTB; 3) Epigenetics at the interface between genes and environment; 4) The role of the genome in modifying maternal stress-PTB associations; 5) Recent advances in multi-omics studies of PTB; and 6) Future perspectives on integrating multi-omics with SDH to elucidate the Black-White disparity in PTB. Available studies have indicated that neither environmental exposures nor genetics alone can adequately explain the Black-White PTB disparity. Preliminary yet promising findings of epigenetic and gene-environment interaction studies underscore the value of integrating SDH with multi-omics in prospective birth cohort studies, especially among high-risk Black women. In an era of rapid advancements in biomedical sciences and technologies and a growing number of prospective birth cohort studies, we have unprecedented opportunities to advance this field and finally address the long history of health disparities in PTB.

Structural and Social Determinants of Health Factors Associated with County-Level Variation in Non-Adherence to Antihypertensive Medication Treatment.

Background: Non-adherence to antihypertensive medication treatment (AHM) is a complex health behavior with determinants that extend beyond the individual patient. The structural and social determinants of health (SDH) that predispose populations to ill health and unhealthy behaviors could be potential barriers to long-term adherence to AHM. However, the role of SDH in AHM non-adherence has been understudied. Therefore, we aimed to define and identify the SDH factors associated with non-adherence to AHM and to quantify the variation in county-level non-adherence to AHM explained by these factors. Methods: Two cross-sectional datasets, the Centers for Disease Control and Prevention (CDC) Atlas of Heart Disease and Stroke (2014–2016 cycle) and the 2016 County Health Rankings (CHR), were linked to create an analytic dataset. Contextual SDH variables were extracted from the CDC-CHR linked dataset. County-level prevalence of AHM non-adherence, based on Medicare fee-for-service beneficiaries’ claims data, was extracted from the CDC Atlas dataset. The CDC measured AHM non-adherence as the proportion of days covered (PDC) with AHM during a 365 day period for Medicare Part D beneficiaries and aggregated these measures at the county level. We applied confirmatory factor analysis (CFA) to identify the constructs of social determinants of AHM non-adherence. AHM non-adherence variation and its social determinants were measured with structural equation models. Results: Among 3000 counties in the U.S., the weighted mean prevalence of AHM non-adherence (PDC < 80%) in 2015 was 25.0%, with a standard deviation (SD) of 18.8%. AHM non-adherence was directly associated with poverty/food insecurity (β = 0.31, P-value < 0.001) and weak social supports (β = 0.27, P-value < 0.001), but inversely with healthy built environment (β = −0.10, P-value = 0.02). These three constructs explained one-third (R2 = 30.0%) of the variation in county-level AHM non-adherence. Conclusion: AHM non-adherence varies by geographical location, one-third of which is explained by contextual SDH factors including poverty/food insecurity, weak social supports and healthy built environments.

Predictors of Latinx Youth Health and Emotional Well-being: Social Determinants of Health Perspective

Latinx youth disproportionately experience numerous negative social determinants of health (SDOH) that can have deleterious impacts on health outcomes. Yet, limited research is available on the role of SDOH on the well-being of Latinx adolescents. Utilizing data from the Fragile Families and Child Wellbeing Study, this study examined the association between variables representing five discrete domains of SDOH and health and emotional well-being outcomes among youth of Latinx mothers (N = 745). The study included 15-year-old youth of Latina mothers who were retained in the most recent wave of data collection (wave 6). Using Mplus8, we performed structural equation modeling to determine whether exogenous indicators of five domains of SDOH (economic stability, education, neighborhood and built environment, social and community context, and health care access) predicted adolescent health status and emotional well-being. SDOH specific to social, educational, and neighborhood factors emerged as significant predictors of health and well-being. Yet, variation existed in regard to which SDOH were most important for each outcome variable. Findings suggest that several SDOH, including economic stability, education, neighborhood and built environment, and social and community context, are particularly important for Latinx adolescent well-being. Implications for social work practice and policy are presented. Future studies should examine the longitudinal impact of SDOH and should examine Latinx youth by nativity.

Teaching students to identify and document social determinants of health.

PurposeSocial determinants of health (SDH) are responsible for significant health disparities, morbidity and mortality. It is important to acculturate trainees to identify and document SDH. This can elevate their perceptions related to the importance and relevance of SDH. Documentation can encourage trainees to see SDH as factors which medical providers should address.Patients and methodsResearchers devised a novel approach to demonstrate the value of SDH to undergraduate medical students. Proprietary diagnostic codes for SDH and procedure codes for action taken to address them, were developed. Students were encouraged to log these into electronic records for clinical encounters. Students’ voluntary use of these codes was evaluated. Additionally, students were surveyed on their familiarity with the concept of SDH, their perceptions of the importance of SDH, as well as documenting SDH, twice in the study period, and results were compared. In their second year of use, proprietary codes were compared to newly available SDH related ICD-10 codes.ResultsStudents utilized proprietary codes more often than SDH related ICD-10 codes. Over 20,000 codes were logged. Comparison of survey items showed modest increases in students’ positive perception about the role of SDH in patient health.ConclusionStudents’ voluntary logging of SDH codes demonstrates they perceived these factors to be important and relevant to patient encounters. Future analyses will examine students’ knowledge, attitudes, beliefs and practice patterns related to SDH.

Perspectives on Opportunities and Challenges for Medicare Advantage Plans to Address Social Determinants of Health via the CHRONIC Care Act.

There is increasing recognition of the role of social determinants of health (SDOH) in the ability of Medicare Advantage (MA) enrollees to obtain needed care. The 2018 CHRONIC Care Act established Special Supplemental Benefits for the Chronically Ill (SSBCI), which for the first time gives MA plans the flexibility to provide supplemental benefits to enrollees to address SDOH. Given the role of SDOH in chronic disease, this represents an opportunity for MA plans to address underlying issues not strictly health care related with which MA enrollees struggle and that affect their overall health. MA plans have experimented with different approaches to address SDOH but have been limited by the lack of ability to offer services as part of covered benefits and reliance on partnerships, grants, and other funding sources to support the provision of these services. The effect of this policy and how it may evolve before implementation begins in 2020 remains uncertain as we wait to see how MA plans will interpret eligibility criteria and services offered without any additional allotted funding.

Factors That Facilitate Addressing Social Determinants of Health Throughout Community-based Participatory Research Processes.

Community-based participatory research (CBPR) is one approach to addressing health disparities. Considering social conditions that foster disparate health outcomes is a strength of CBPR studies that move beyond a more narrow focus on modifying individual health behaviors. This article examines factors that facilitate addressing the social determinants of health (SDH) throughout a CBPR process. Conducting an extensive literature review of relevant key terms and, subsequently, using purposeful snowball sampling, we identified ten CBPR partnerships that addressed SDH and conducted semistructured interviews followed by qualitative content analysis. We identified factors that facilitate addressing SDH, which include commitment to SDH, community partner activism/engagement, partnership maturity, and government/political support. We present four lessons learned that can be useful to partnerships seeking to address health disparities at multiple ecological levels beyond individual-level change. We recommend that CBPR practitioners consider the role of SDH in CBPR studies involving health disparities.