Structural Determinants Of Health Research Articles

An evaluation of the impact of social and structural determinants of health on forgone care during the COVID-19 pandemic in Baltimore, Maryland.

Evidence suggests that reductions in healthcare utilization, including forgone care, during the COVID-19 pandemic may be contributing towards excess morbidity and mortality. The objective of this study was to describe individual and community-level correlates of forgone care during the COVID-19 pandemic. We conducted a cross-sectional, secondary data analysis of participants (n = 2,003) who reported needing healthcare in two population-representative surveys conducted in Baltimore, MD in 2021 and 2021-2022. Abstracted data included the experience of forgone care, socio-demographic data, comorbidities, financial strain, and community of residence. Participant's community of residence were linked with data acquired from the Baltimore Neighborhood Indicators Alliance relevant to healthcare access and utilization, including walkability and internet access, among others. The data were analyzed using weighted random effects logistic regression. Individual-level factors found to be associated with increased odds for forgone care included individuals age 35-49 (compared to 18-34), female sex, experiencing housing insecurity during the pandemic, and the presence of functional limitations and mental illness. Black/African American individuals were found to have reduced odds of forgone care, compared to any other race. No community-level factors were significant in the multilevel analyses. Moving forward, it will be critical that health systems identify ways to address any barriers to care that populations might be experiencing, such as the use of mobile health services or telemedicine platforms. Additionally, public health emergency preparedness planning efforts must account for the unique needs of communities during future crises, to ensure that their health needs can continue to be met. Finally, additional research is needed to better understand how healthcare access and utilization practices have changed during versus before the pandemic.

Social and Structural Determinants of Health Associated with COVID-19 Vaccine Hesitancy among Older Adults in the United States

State-level COVID-19 vaccination rates among older adults have been uneven in the United States. Due to the immunocompromised nature of older adults, vaccine hesitancy increases the risk of morbidity and mortality. This study aims to determine the association between the social determinants of health, the structural determinants of health, and COVID-19 vaccine hesitancy among older adults in the United States. Secondary data from the Health and Retirement Study (HRS) dataset were used. A descriptive analysis and multinomial multivariable logistic regression were performed to examine the association of the independent variables—gender, age, race, immigration status, marital status, broadband internet access, social security income, Medicare coverage, education, and frequency of religious service—with the dependent variable, vaccine hesitancy. Compared to the respondents with no vaccine hesitancy and without the specific predictor, the respondents who reported religious attendance at least once/week were more likely to be “somewhat hesitant”, divorced respondents had higher odds of being “somewhat hesitant”, and older adults aged 65–74 years were more likely to be “very hesitant” or “somewhat hesitant” about the COVID-19 vaccine. Compared to the respondents with no vaccine hesitancy and without the specific predictor, females had higher odds of being “very hesitant”, “somewhat hesitant”, or a “little hesitant”, and African Americans were more likely to be “very hesitant”, “somewhat hesitant”, or a “little hesitant” about the COVID-19 vaccine. Addressing these factors may limit the barriers to vaccine uptake reported among older adults and improve herd immunity among the immunocompromised population.

Social and Structural Determinants of Cardiovascular Complications of Diabetes.

Cardiovascular disease (CVD) is the leading cause of mortality in people who have diabetes. Racial and ethnic minorities with diabetes have suboptimal management of cardiovascular risk factors, leading to higher mortality. Social and structural determinants of health are external factors that influence an individual's ability to choose positive health behaviors. In this review, we will discuss cardiovascular complications in people who have diabetes and their relationship to social determinants of health (SDOH). Recent innovations in diabetes treatment, including new devices and medications, have improved care and survival. However, disparities in the availability of these treatments to racial and ethnic minorities may contribute to continued inequities in CVD outcomes. Racial/ethnic disparities in CVD relate to inequities in economic opportunity, education and health literacy, neighborhoods and social cohesion, and health care access and quality driven by structural racism.

Abstract PO5-20-05: The FOR ME (Fostering Opportunities in Research through Messaging and Education) study: Using multiple qualitative methods to develop a culturally sensitive narrative intervention to promote equity in clinical trials

Abstract Background: Black women are more likely to present with advanced stage disease and to die following a breast cancer (BC) diagnosis compared to women from other racial/ethnic groups. In 2020, only 7.2% of enrollees in clinical trials that led to the approval of 3 novel drugs for breast cancer were Black. While there are many contributing factors to this inequity (i.e., tumor biology, social and structural health determinants, racial injustice, and differential access to and utilization of high-quality mammography, diagnostics, and therapies), persistent underrepresentation of Black patients in cancer clinical trials (CTs) slows scientific advancements. Objective: The aim of this study is to develop, optimize, and test a narrative decision aid intervention (web-based video) for Black women diagnosed with BC to promote shared decision making and CT participation. The first aim is to conduct multiple qualitative methods with multi-level stakeholders to identify barriers, facilitators, and intervention priorities that would assist Black breast cancer patients to make informed decisions about participating in clinical trials. The second aim is to create a culturally sensitive, narrative intervention designed to support decision making and motivate Black breast cancer patients to participate in clinical trials. Aim 3 will then pilot a study to determine acceptability of the intervention among patients and assess whether it increases clinical trial participation in a safety net oncology practice. Methods: Guided by community-based participatory research approaches, we used multiple qualitative methods (key informant interviews (KIIs) and story circles) to identify barriers and facilitators that support decision-making and CT participation. The KIIs, completed in-person, via phone, or video conferencing, were recorded and professionally transcribed. The research team used thematic analysis and inductive coding approaches. Next, interviews and focus groups will invite feedback on the educational/motivational content of the intervention and will be used to develop a culturally sensitive script and story boards. A video production company will produce the narrative intervention. Finally, focus groups and interviews with participant cohorts will provide feedback on the completed intervention. Black women diagnosed with BC will view the intervention in an oncology clinic. Using a pretest/posttest design, we will analyze the acceptability of the intervention and its effect on intention to participate in clinical trials. We will then conduct a quasi-experimental study in a safety net oncology practice to determine whether the rate of clinical trial participation among Black breast cancer patients increases following implementation of the intervention as a standard component of new patient education. Progress: Recruitment started in July 2022 and currently 30 of 30 interviews with patients are completed, 20 of 20 interviews with clinical stakeholders (oncologists and clinical trial staff) are completed, and 14 of 20 interviews with advocates and community partners are completed. Data collection and the analysis of the interviews and story circles is ongoing. Citation Format: Neha Hippalgaonkar, Ryan Nguyen, Leslie Carnahan, Vida Henderson, Tigist Mersha, Eliza Cohn, Kauthar Salum, Ana Williams, Lolita Coleman, Beulah Brent, AnneMarie Murphy, Paris Thomas, Paramjeet Khosla, Kent Hoskins. The FOR ME (Fostering Opportunities in Research through Messaging and Education) study: Using multiple qualitative methods to develop a culturally sensitive narrative intervention to promote equity in clinical trials [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-20-05.

Perceived legal protection and institutional trust predict a lower psychological distress level for transgender people in Aotearoa/New Zealand

Background Few studies have assessed the role of legal protection and institutional trust as structural determinants of health among trans people. Aim This study investigated the responses of a nationwide survey of trans people in Aotearoa New Zealand to examine the interplay among perceived legal protection, trust toward institutions, and psychological distress. Method Data were employed from the 2018 Counting Ourselves survey (n = 863; Mage = 30.3). We conducted chi-square analyses to identify the extent of differences for institutional trust between trans participants and the Aotearoa/New Zealand general populations. Correlation and mediation analyses were utilised to determine whether structural determinants were associated with lower psychological distress levels. Findings Our results revealed that over a quarter (26%) of trans participants did not feel New Zealand law protects against discrimination for being trans or non-binary. Trans participants reported heightened levels of distrust compared to the general populations across media (65% vs 39%; RR= 1.66) parliament (52% vs 25%; RR = 2.07), police (49% vs 7%; RR = 7.48), and courts (48% vs 13%; RR = 3.84). Significant demographic differences in institutional trust levels were observed, with younger individuals, trans men, non-binary people assigned female at birth, or people with a disability status reporting lower trust toward different institutions. Perceived legal protection and confidence were correlated with lower psychological distress levels, and institutional trust partially mediated this association. Conclusions Findings from this study demonstrate the urgency for government agencies to consult appropriately and work collaboratively with trans communities to identify current gaps in laws and policies that protect the human rights of trans people. Trans-inclusive policies have the potential to elevate community trust toward institutions and improve the meaningful participation of trans people and address inequities.

Decolonizing Impact Through the Culture-Centered Approach to Health Communication: Mobilizing Communities to Transform the Structural Determinants of Health

ABSTRACT In this issue, we outline the central tenets of the culture-centered approach to health communication. What does the culture-centered approach address when suggesting the co-creation of voice infrastructures? What is the theory’s methodological emphasis for mobilizing and transforming structures that shape health inequalities for communities at the margins? Drawing on examples of culture-centered interventions in over fifty communities spread across 17 countries and three continents, a large number of them housed under the umbrella of the Center for Culture-centered Approach to Research and Evaluation (CARE) at Massey University in Aotearoa, New Zealand, we articulate the communicative processes (referring to actionable sources and targets of communicative action) that shape the building of voice infrastructures mobilizing toward structural transformation. For instance, African American communities organizing under the framework of the culture-centered approach, documented in Dutta, Collins, and colleagues study in 2019, discuss the building of voice infrastructures where community members participate in co-creating heart health information based on comparative effectiveness research, building an African American media ecosystem disseminating the information alongside community-led initiatives growing healthy food, community-led youth activities, and activism addressing the racist structural drivers that adversely impact African American heart health. In this essay, we describe the impact of culture-centered interventions reflected in the voice infrastructures within communities that witness and articulate the oppressions that threaten human health at the margins and in the transformations of these structures that organize various facets of life and livelihood at the global margins linked to health.

Examining the influence of mental health and structural determinants of health on the stage of motivational readiness for health behaviour changes: A path analysis study.

This study explores the influence of mental health and structural determinants of health on motivational readiness for health behaviour change in 1462 Spanish primary healthcare users. Chi-square test and structural equation modelling were performed. Results showed that depression and anxiety were negatively associated with being in the action stages of motivational readiness for a healthy diet and physical activity. This association was statistically significant only for motivational readiness for a healthy diet and depression (). Furthermore, women and workers were more likely to be in the action stages of motivational readiness for a healthy diet while older adults and adults with higher health-related quality of life were more likely to be in the action stages of motivational readiness for physical activity. The present study suggests that structural (being older, being a woman and being employed) and intermediary (suffering from depression and higher health-related quality of life) determinants of health influence motivational readiness for health behaviour changes.

Participant attrition from statewide, population-based Survey of the Health of Wisconsin into the longitudinal SHOW COVID-19 cohort

PurposeLongitudinal studies are essential for examining how social and institutional determinants of health, historical and contemporary, affect disparities in COVID-19 related outcomes. The unequal impacts of COVID-19 likely exacerbated selected attrition in longitudinal research. This study examines attrition and survey mode effects in the SHOW COVID-19 study which recruited from a statewide, representative cohort. Materials & methodsParticipants were recruited from the Survey of the Health of Wisconsin (SHOW) cohort. Online surveys, or phone interviews, were administered at three timepoints during 2020–2021. The surveys captured social, behavioral, and structural determinants of health and the lived experience. Univariate and multivariate logistic regression was used to examine predictors of participation and survey mode effects. ResultsA total of 2304 adults completed at least one COVID-19 online survey. Participants were more educated, older, and more likely to be female, married, non-Hispanic, and White compared to non-participants. Phone participants were older, less educated, and more likely be non-White, food insecure, and have co-morbidities compared to online participants. Mode effects were seen with reporting COVID-19 beliefs, loneliness, and anxiety. ConclusionThe SHOW COVID-19 cohort offers unique longitudinal data but suffered from selected attrition. Phone interview is an important mode for retention and representation.

Using generative AI to investigate medical imagery models and datasets

BackgroundAI models have shown promise in performing many medical imaging tasks. However, our ability to explain what signals these models have learned is severely lacking. Explanations are needed in order to increase the trust of doctors in AI-based models, especially in domains where AI prediction capabilities surpass those of humans. Moreover, such explanations could enable novel scientific discovery by uncovering signals in the data that aren’t yet known to experts. MethodsIn this paper, we present a workflow for generating hypotheses to understand which visual signals in images are correlated with a classification model’s predictions for a given task. This approach leverages an automatic visual explanation algorithm followed by interdisciplinary expert review. We propose the following 4 steps: (i) Train a classifier to perform a given task to assess whether the imagery indeed contains signals relevant to the task; (ii) Train a StyleGAN-based image generator with an architecture that enables guidance by the classifier (“StylEx”); (iii) Automatically detect, extract, and visualize the top visual attributes that the classifier is sensitive towards. For visualization, we independently modify each of these attributes to generate counterfactual visualizations for a set of images (i.e. what the image would look like with the attribute increased or decreased); (iv) Formulate hypotheses for the underlying mechanisms, to stimulate future research. Specifically, present the discovered attributes and corresponding counterfactual visualizations to an interdisciplinary panel of experts so that hypotheses can account for social and structural determinants of health (e.g. whether the attributes correspond to known patho-physiological or socio-cultural phenomena, or could be novel discoveries). FindingsTo demonstrate the broad applicability of our approach, we present results on eight prediction tasks across three medical imaging modalities – retinal fundus photographs, external eye photographs, and chest radiographs. We showcase examples where many of the automatically-learned attributes clearly capture clinically known features (e.g., types of cataract, enlarged heart), and demonstrate automatically-learned confounders that arise from factors beyond physiological mechanisms (e.g., chest X-ray underexposure is correlated with the classifier predicting abnormality, and eye makeup is correlated with the classifier predicting low hemoglobin levels). We further show that our method reveals a number of physiologically plausible, previously-unknown attributes based on the literature (e.g., differences in the fundus associated with self-reported sex, which were previously unknown). InterpretationOur approach enables hypotheses generation via attribute visualizations and has the potential to enable researchers to better understand, improve their assessment, and extract new knowledge from AI-based models, as well as debug and design better datasets. Though not designed to infer causality, importantly, we highlight that attributes generated by our framework can capture phenomena beyond physiology or pathophysiology, reflecting the real world nature of healthcare delivery and socio-cultural factors, and hence interdisciplinary perspectives are critical in these investigations. Finally, we plan to release code to enable researchers to train their own StylEx models and analyze their predictive tasks of interest, and use the methodology presented in this paper for responsible interpretation of the revealed attributes. FundingGoogle

How patients experience respect in healthcare: findings from a qualitative study among multicultural women living with HIV

BackgroundRespect is essential to providing high quality healthcare, particularly for groups that are historically marginalized and stigmatized. While ethical principles taught to health professionals focus on patient autonomy as the object of respect for persons, limited studies explore patients’ views of respect. The purpose of this study was to explore the perspectives of a multiculturally diverse group of low-income women living with HIV (WLH) regarding their experience of respect from their medical physicians.MethodsWe analyzed 57 semi-structured interviews conducted at HIV case management sites in South Florida as part of a larger qualitative study that explored practices facilitating retention and adherence in care. Women were eligible to participate if they identified as African American (n = 28), Hispanic/Latina (n = 22), or Haitian (n = 7). They were asked to describe instances when they were treated with respect by their medical physicians. Interviews were conducted by a fluent research interviewer in either English, Spanish, or Haitian Creole, depending on participant’s language preference. Transcripts were translated, back-translated and reviewed in entirety for any statements or comments about “respect.” After independent coding by 3 investigators, we used a consensual thematic analysis approach to determine themes.ResultsResults from this study grouped into two overarching classifications: respect manifested in physicians’ orientation towards the patient (i.e., interpersonal behaviors in interactions) and respect in medical professionalism (i.e., clinic procedures and practices). Four main themes emerged regarding respect in provider’s orientation towards the patient: being treated as a person, treated as an equal, treated without blame or prejudice, and treated with concern/emotional support. Two main themes emerged regarding respect as evidenced in medical professionalism: physician availability and considerations of privacy.ConclusionsFindings suggest a more robust conception of what ‘respect for persons’ entails in medical ethics for a diverse group of low-income women living with HIV. Findings have implications for broadening areas of focus of future bioethics education, training, and research to include components of interpersonal relationship development, communication, and clinic procedures. We suggest these areas of training may increase respectful medical care experiences and potentially serve to influence persistent and known social and structural determinants of health through provider interactions and health care delivery.

Evaluating the domains of generalism and equity, diversity and inclusion in preclinical simulated cases for targeted curricular improvements

ABSTRACT Background Simulated cases are widely used in medical education to develop clinical reasoning skills and discuss key topics around patient care. Such cases present an opportunity to demonstrate real world encounters with diverse patient and health provider identities, impacts of social and structural determinants of health, and demonstrate a generalist approach to problems. However, despite many calls-to-action for medical schools to better incorporate equity, diversity and inclusion (EDI) and generalism, it remains difficult to evaluate how well these goals are being met. Methods A quality improvement project was completed at a single medical school to evaluate the domains of generalism and EDI within simulated cases used in the preclinical curriculum. Generalism was evaluated using the Toronto Generalism Assessment Tool (T-GAT). EDI was evaluated using a locally developed novel tool. Analysis included descriptive statistics and Pearson correlation coefficient. Results A total of 49 simulated cases were reviewed. Twelve generalism and 5 EDI items were scored on a 5-point Likert scale, with higher scores indicating better demonstration of generalism or EDI within a case. Average generalism score across all cases was 45.6/60. Average EDI score across all cases was 11.7/25. Only 21/49 cases included representation of one or more diverse identity categories. The most common diverse identity represented was non-white races/ethnicities, and the identity represented the least was diversity in language fluency. Generalism and EDI scores demonstrated a weak positive correlation (R2 = 0.25). Conclusions Quantitative evaluation of simulated cases using specific generalism and EDI scoring tools was successful in generating insight into areas of improvement for teaching cases. This approach identified key content areas for case improvement and identities that are currently underrepresented in teaching cases. Similar approaches could be feasibly used by other medical schools to improve generalism and EDI in teaching cases or other curricular materials.

Higher area deprivation index is associated with poorer local control and overall survival in non-metastatic nasopharyngeal carcinoma.

Neighborhood socioeconomic deprivation impacts outcomes in various cancers. We examined this association in nasopharyngeal carcinoma (NPC) patients using the area deprivation index (ADI). We conducted a single-institution retrospective cohort study on NPC patients treated with definitive radiotherapy from 1980 to 2023. ADI was used as the primary exposure measure. Higher ADI indicates higher levels of socioeconomic deprivation. Of 561 patients, those with higher ADI (6-10 vs. 1-5) presented more commonly with AJCC stage III/IV compared to I/II (87% vs. 76%, p = 0.03). Increasing ADI decile score correlated with poorer overall survival (HR 1.14, 95% CI 1.01-1.28, p = 0.04). Local control was worse in patients from the most deprived quartile in the cohort ADI 5-10 (HR 2.11, 95% CI 1.01-4.41, p = 0.05). NPC patients from more disadvantaged neighborhoods undergoing radiotherapy had worse local control and survival outcomes. Interventions to address structural determinants of health and neighborhood disparities may improve these outcomes.

Digital Redlining—The Invisible Structural Determinant of Health

This Viewpoint describes digital redlining as racialized inequities in access to technology infrastructure, including access to health care, education, employment, and social services.

Seeking care across the US-Mexico border: The experiences of Latinx and Indigenous Mexican caregivers of children with asthma or respiratory distress

BackgroundMany Latinx and Indigenous Mexican populations in the United States Southwest live in unincorporated communities in the US-Mexico borderlands called colonias. These environmental justice communities often lack basic infrastructure, including healthcare services, prompting many to seek services across the border. However, due to geopolitical factors more vulnerable caregivers are limited to utilize healthcare services in the US. This paper reports the experiences and healthcare decision-making of caregivers living in colonias in the US-Mexico border region who care for children with respiratory health conditions. MethodsThis study was carried out from September to December 2020. Focus groups and interviews were conducted with Latinx and Indigenous Mexican caregivers of children with asthma or respiratory distress. Qualitative interviews elicited caregivers' perspectives on the environmental factors affecting children's chronic health conditions and use of healthcare services. The analysis employed the concept of structure vulnerability to theorize geography as a structural determinant of health for caregivers faced with making healthcare decisions for their suffering from respiratory health conditions. A survey was administered to collect basic sociodemographic information. ResultsA total of 36 caregivers participated in the study. Structural factors including unincorporated community status and government inaction intersected with social determinants of health to prompt caregivers to cross the US-Mexico border to access healthcare services in Mexico for their children. Yet, more vulnerable caregivers (i.e., those without documentation status in the US) and their children, accessing healthcare services in the US was not an option limiting caregivers' ability to meet their children's healthcare needs. In such cases, geography acts as a structural determinant of health. ConclusionThis study shows the importance of geography in health. Rural unincorporated colonias located in the borderlands are precariously located and lack basic critical infrastructure including healthcare access. Within such places, historically and socially marginalized populations become invisible, are subject to the health effects of environmental hazards, and are limited depending on their positionality and thus vulnerability to healthcare services.

Keeping It Political and Powerful: Defining the Structural Determinants of Health.

Policy Points The structural determinants of health are 1) the written and unwritten rules that create, maintain, or eliminate durable and hierarchical patterns of advantage among socially constructed groups in the conditions that affect health, and 2) the manifestation of power relations in that people and groups with more power based on current social structures work-implicitly and explicitly-to maintain their advantage by reinforcing or modifying these rules. This theoretically grounded definition of structural determinants can support a shared analysis of the root causes of health inequities and an embrace of public health's role in shifting power relations and engaging politically, especially in its policy work. Shifting the balance of power relations between socially constructed groups differentiates interventions in the structural determinants of health from those in the social determinants of health.

Applying Lessons from the COVID-19 Pandemic to Universal Health Care

The Universal Health Care (UHC) Act of the Philippines, signed into law in 2019, aims to provide a full range of health services to all Filipinos.1 However, its planned implementation was derailed with the COVID-19 pandemic. We observed a large variation in the pandemic response across regions and countries, highlighting the complex interplay of political, structural, economic, and cultural factors on health. 2 The Philippine national government implemented varying levels of community quarantine, risk communication, travel restrictions, testing and monitoring of at-risk individuals, and vaccination policies to control the pandemic, while the local government units (LGUs) were tasked to adopt and coordinate these policies in their communities. 3
 The COVID-19 pandemic accentuated the existing weaknesses of our health system, of which inequity is a central problem. Uneven distribution of healthcare personnel, limited resources for testing, and limited access to medicines and supplies were important challenges faced particularly in geographically isolated and disadvantaged areas in the Philippines. LGUs implemented granular policies and context-specific interventions to respond to the varying conditions of communities in terms of local COVID-19 transmission, health system preparedness, health resources, and community responsiveness. 3 Examples of innovative approaches in the LGUs include reorganization of Barangay Health Emergency Response Teams, Zumba sessions of health workers, and backyard gardening of COVID-19 patients. 4 The COVID-19 pandemic highlighted the importance for health systems interventions to take into consideration the preparedness, availability of resources, and vulnerabilities of communities in the Philippines.
 As we enter the post-pandemic era, we have the opportunity to refine the implementation of the UHC law based on the lessons we learned from the pandemic. For our goal of providing quality health care to all Filipinos to come into fruition, we need to strive for health equity. Health equity refers to having the personal agency and fair access to resources needed to achieve the best possible standard of health for all people. 5,6 Given the socio-economic disparities, cultural diversity, and varied structural barriers present in the Philippines, context-sensitive interventions are important to ensure an inclusive healthcare system where no one gets left behind.7 Moreover, acceptability and feasibility of the health system interventions should be taken into consideration during the planning, preparation, and implementation stages of UHC implementation.
 In the advent of evidence-based health care, the priority health research agenda globally and in the Philippines now includes health equity research. Research to identify and measure the magnitude of health inequity, and research that evaluate interventions to reduce health inequity are vital as we strive to improve our health care systems.8 Although health equity cannot be measured directly, it is recommended to conduct research in the following areas: a.) difference in health in association with social position; b.) assessment of social and structural determinants of health; and c.) health equity indicators, including healthcare access, healthcare quality, financial protection, and health outcomes.5,9 These research would be essential to create policies and programs to promote health equity.
 We recognized the importance of strong and resilient health care systems during the COVID-19 pandemic. While important advancements have already been made in the Philippine health care, there is still much room for improvement. As we move forward with UHC in the Philippines, we can incorporate our experience with the COVID-19 pandemic to promote the provision of the best possible health care services for all.

Association Between Social Determinants of Health and Traumatic Brain Injury: A Scoping Review.

Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. Disparities exist in the populations that acquire TBIs, however, with a greater burden and poorer outcomes associated with communities of color and lower socioeconomic status. To combat health inequities such as these, institutions have begun to target social determinants of health (SDoH), which are environmental factors that affect health outcomes and risks. The SDoH may play a role in sustaining a TBI and provide modifiable targets for action to reduce the risk of TBI, especially in high-risk communities. In this study, we describe the existing literature regarding SDoH and their association with sustaining a TBI. We performed a scoping review with a comprehensive search of the Ovid MEDLINE/Embase databases. To summarize the literature, this review adapts the World Health Organization's Commission on SDoH's conceptual framework. Fifty-nine full-text articles, including five focusing on lower and middle-income countries, met our study criteria. Results of the scoping review indicate that several structural determinants of health were associated with TBI risk. Lower educational attainment and income levels were associated with higher odds of TBI. In addition, multiple studies highlight that minority populations were identified as having higher odds of TBI than their White counterparts. Literature highlighting intermediate determinants of health examined in this review describes associations between sustaining a TBI and rurality, work environment, medical conditions, medication/substance use, and adversity. Recommended exploration into lesser-researched SDoH is discussed, and the expansion of this review to other aspects of the TBI continuum is warranted.

Abstract HUP14: Racial And Ethnic Disparities In Neighborhood Socioeconomic Status Associated With Cardiovascular Disease And Stroke: The Women’s Health Initiative

Introduction: The role of socioeconomic status (SES) across cardiovascular diseases (CVD) is well researched at the individual-level but fails to explain the greater CVD rates among Black and American Indian and Alaska Native (AIAN) groups at every level of SES. This research evaluated whether lower Neighborhood SES (NSES), a structural determinant of health, was associated with racial and ethnic disparities in CVD or stroke among aging women. Methods: The data came from the Women’s Health Initiative (WHI) cohort, consisting of 161,808 postmenopausal women with 30 years of data on stroke and CVD incidence. The NSES data were obtained from the US Census based on participant’s census tract of residence. We evaluated racial and ethnic disparities in the exposure and outcome prevalence using ANOVA. Associations between NSES and time to stroke and CVD were evaluated using multivariate adjusted Cox Regression models, and models were stratified by race and ethnicity to evaluate disparities. Results: NSES differed by race and ethnicity. Black, AIAN, and Latina groups were significantly (P<0.01) more likely to live in neighborhoods with NSES Z-scores below the population mean (Z-score=0) compared with White and Asian groups. The mean NSES Z-score among Black participants was -5.21 standard deviations below the population mean. Thirty-year CVD and stroke incidence followed the same trajectory of racial disparities. Preliminary analysis suggests results from Cox regression models will identify lower NSES to be longitudinally associated with greater stroke and CVD incidence overall, and greater effect sizes among groups experiencing structural racism. Conclusion: This research evaluates racial disparities in NSES as a structural determinant of stroke and CVD. These findings provide evidence emphasizing the need for neighborhood-level interventions to improve CVD disparities that coalesce in marginalized communities.

Screening for health literacy, social determinants, and discrimination in health plans.

Health inequities are frequently driven by social determinants of health (SDOH) and structural determinants of health. Our pilot sought to test the feasibility of screening for health literacy (HL) and perceived health care discrimination (PHD) through a live telephonic-facilitated survey experience with managed care patients. Cross-sectional study. Newly enrolled Medicare Advantage patients were screened for self-reported PHD, HL, and multiple SDOH using validated screening tools. Response rates for both HL and PHD screens were analyzed. A χ2 test for association between response to PHD screen and patient race was conducted. A weighted logistic regression model was used to understand how HL is associated with SDOH and demographic factors (age, gender, race/ethnicity, andincome). HL and PHD screening questions have different levels of feasibility. Administering the HL screen did not present a challenge, and patients felt comfortable responding to it. On the other hand, the PHD question had a lower response rate among patients, and some concierge advocates felt uncomfortable asking patients the question. Based on the self-reported HL data collected, low/limited HL is associated with patients who were Black, were low income, reported loneliness or isolation, or reported food insecurity. It is important to note that the study's findings are limited by the small sample size and that study results do not imply causality. It is feasible to collect self-reported HL data through a live telephonic format at the time of patient enrollment into a health plan. Health plans can leverage such screenings to better understand patient barriers for health equity-oriented interventions.

Institutional Failures as Structural Determinants of Suicide: The Opioid Epidemic and the Great Recession in the United States.

We investigate recent trends in U.S. suicide mortality using a "structural determinants of health" framework. We access restricted-use multiple cause of death files to track suicide rates among U.S. Black, White, American Indian/Alaska Native, and Latino/a men and women between 1990 and 2017. We examine suicide deaths separately by poisonings and nonpoisonings to illustrate that (1) women's suicide rates from poisonings track strongly with increases in prescription drug availability and (2) nonpoisoning suicide rates among all adult Americans track strongly with worsening economic conditions coinciding with the financial crash and Great Recession. These findings suggest that institutional failures elevated U.S. suicide risk between 1990 and 2017 by increasing access to more lethal means of self-harm and by increasing both exposure and vulnerability to economic downturns. Together, these results support calls to scale up to focus on the structural determinants of U.S. suicide.