New York City (NYC) was the epicenter of the early US COVID-19 pandemic. From March to May 2020, overburdened healthcare centers precipitated an emergent need for non-traditional facilities to meet patient care demands. Given travel restrictions and NYC\'s underutilized tourist infrastructure, hotels were available to support emergency response needs. This article describes the process by which NYC\'s non-medical COVID-19 hotel programs were selected, mobilized, and operated, including lessons learned. NYC agencies and organizations collaborated, creating an interagency initiative that activated hotels to provide safe isolation and quarantine spaces for those diagnosed with or exposed to COVID-19, aiming to reduce community spread, increase capacity for NYC\'s strained healthcare system, and mitigate interagency redundancy. Interagency groups addressed hotel challenges, including infection prevention and control; behavioral health, intellectual, and developmental disorders; social determinants of health; and coordination, operations, and planning. NYC\'s COVID-19 hotel program successfully supported overburdened hospitals by providing alternate locations for non-inpatient COVID-19 individuals. Community engagement required a methodical approach, balancing quality assurance with efficient access. An interagency coordinating body developed and shared clinical criteria for hotel admissions, infection prevention and control (IPC) procedures, and discharge plans, enhancing the program\'s ability to scale and address complex needs. Lessons learned from this program can be applied for smoother implementation of similar programs in the future.

Introduction This study aims to identify the influence of social determinants of health (SDoH) on patients with systemic lupus erythematosus (SLE), emphasizing racial and ethnic disparities in healthcare. Methods A cross-sectional study used the National Institute of Health\'s (NIH) All of Us Research Program (AoU). From 727,000 patients, SLE patients were categorized by race, ethnicity, and responses to the Social Determinants of Health survey from May 2018 until March 2023. Survey questions addressed transportation access, neighborhood safety, provider biases, and food insecurity. JMP Pro 16.0 and R 4.2.2 were used for statistical analysis. Results Significant racial disparities were evident amongst SLE patients for transportation access, neighborhood safety, food security, and respect from healthcare providers (p-value < 0.001). African Americans, Asians, and White participants showed different perceptions regarding neighborhood crime, healthcare provider courtesy, and feeling unheard by providers, with respective p-values of 0.001, 0.010, and 0.023. Hispanic participants perceived higher neighborhood crime rates, felt unsafe during nighttime walks, felt unheard by healthcare providers, and reported worrying about food security compared to non-Hispanic participants, with respective p-values of 0.003, 0.003, 0.009, and <0.001.  Discussion SLE is affected by access to care, treatments, stress, and lifestyle habits. Therefore, identifying SDoH for SLE patients is critical as it impacts disease progression, leading to delays in diagnosis, improper management, and worsening morbidity.  Conclusion Targeted social and community-based interventions may improve access to care, identify implicit biases among providers, and alleviate food insecurity.

Advancements in cardiovascular (CV) disease management are notable, yet health inequities prevail, associated with increased morbidity and mortality noted among non-Hispanic African Americans in the United States. The 2002 Institute of Medicine Report revealed ongoing racial and ethnic health care disparities, spearheading a deeper understanding of the social determinants of health and systemic racism to develop strategies for CV health equity (HE). This article outlines the strategic HE approach of the American College of Cardiology, comprising 6 strategic equity domains: workforce pathway inclusivity, health care, data, science, and tools; education and training; membership, partnership, and collaboration; advocacy and policy; and clinical trial diversity. The American College of Cardiology\'s Health Equity Task Force champions the improvement of patients\' lived experiences, population health, and clinician well-being while reducing health care costs-the Quadruple Aim of Health Equity. Thus, we examine multifaceted HE interventions and provide evidence for scalable real-world interventions to promote equitable CV care.

It is well established that the COVID-19 pandemic has had a substantial impact on ethnic minority communities and has worsened existing health inequalities experienced by these populations globally. Individuals from ethnic minority backgrounds have not only been more likely to become infected with COVID-19 throughout the pandemic, but they have also higher risk of adverse symptoms and death following infection. Factors responsible for these discrepancies are wide reaching and encompass all aspects of the social determinants of health (SDoH). Although always an area of concern among healthcare professionals, barriers to health care experienced by ethnic minority populations became a more pertinent issue during the COVID-19 pandemic when all individuals required sufficient and sustained access to a healthcare system (whether this be for COVID-19 testing, vaccination or treatment). These healthcare barriers exacerbated the increased COVID-19 burden experienced by minority populations and will continue to detrimentally impact the health of these populations during future COVID-19 waves or indeed, future novel pandemics. This chapter aims to summarise the major healthcare barriers experienced by minority populations throughout the COVID-19 pandemic, including COVID-19 prevention, vaccine rollout, care during hospitalisation and post-COVID care for long COVID patients. To end, this chapter will summarise lessons learned and future directions that need to be taken to improve health disparities and healthcare access for minority populations in relation to the COVID pandemic and beyond.

Ensuring access to proper eye health services is not only a fundamental human right but also crucial for preserving an individual\'s quality of life, preventing blindness, and promoting overall well-being. This is especially true in low-income countries like Sub-Saharan Africa (SSA) where recognizing the intricate relationship between access to healthcare and social determinants of health (SDOH ) is crucial to addressing health disparities. The goal of this study was to elucidate and highlight not only the barriers millions face in obtaining eye care but also pave the way for interventions and policies aimed at creating equitable access across diverse populations. To do this, a scoping review was conducted across the Cumulated Index to Nursing and Allied Health Literature (CINAHL), Embase, and PubMed databases for studies meeting the search terms and inclusion criteria. The results show that intervention strategies that increase vision care must extend beyond the healthcare sector to address the multifaceted challenges. Collaborating with stakeholders involved in addressing broader livelihood issues, such as food security, education, and SDOH, becomes imperative to ensure comprehensive and sustainable improvements in vision care accessibility in SSA.

Young adults from disadvantaged populations access higher education through two-year colleges, but substance use research among young adults focuses on four-year colleges. Filling this research gap is important given recent policy changes that have increased marijuana availability for young adults. This study uses a subsample of college-enrolled participants from the National Longitudinal Study of Adolescent to Adult Health (Add Health) to evaluate whether substance use predicts educational attainment seven years later, comparing 888 students attending a two-year college with 1,398 matched students attending a four-year college. Matched students were identified using a propensity score method so that students were comparable on 15 measures, including precollege grades, precollege test scores, and precollege substance use. Compared with similar four-year college students, two-year college students were more likely to use methamphetamines, cocaine, or marijuana; more likely to report problematic substance use; and less likely to use alcohol. Two-year college students who used methamphetamines in the past year (incidence rate ratio (IRR) = 1.51, 95% CI (1.12, 2.04), p = 0.007) or past month (IRR = 1.69, 95% CI (1.09, 2.61), p = 0.02) or completed alcohol abuse treatment (IRR = 1.58, 95% CI (1.21, 2.07), p < 0.001) were less likely to complete college than two-year college students without those risk factors. Among the matched four-year college students, students who reported that drugs interfered with school or work in the past year (IRR = 1.84 (1.28, 2.64), p = 0.001), used cocaine in the past year (IRR = 1.47 (1.04, 2.08), p = 0.03), and used marijuana in the past year (IRR = 1.30 (1.07, 1.57), p = 0.007), past month (IRR = 1.31 (1.07, 1.61), p = 0.01), or ≥5 times in the past month (IRR = 1.44 (1.12, 1.85) p = 0.005) were less likely to complete college than the matched four-year college students without those risk factors. Substance use interventions should target both two-year and four-year college students. Two-year colleges that better accommodate students who complete substance use treatment may improve these students\' completion. Students who use marijuana or cocaine or whose drug use impairs functioning may benefit from an incremental approach of completing a two-year degree prior to transferring to a four-year degree rather than enrolling directly in a four-year program.

Decades of research have solidified the crucial role that social determinants of health (SDOH) play in shaping health outcomes, yet strategies to address these upstream factors remain elusive. The aim of this study was to understand the extent to which US nonprofit hospitals invest in SDOH at either the community or individual patient level and to provide examples of programs in each area. We analyzed data from a national dataset of 613 hospital community health needs assessments and corresponding implementation strategies. Among sample hospitals, 69.3% (n = 373) identified SDOH as a top-5 health need in their community and 60.6% (n = 326) reported investments in SDOH. Of hospitals with investments in SDOH, 44% of programs addressed health-related social needs of individual patients, while the remaining 56% of programs addressed SDOH at the community level. Hospitals that were major teaching organizations, those in the Western region of the United States, and hospitals in counties with more severe housing problems had greater odds of investing in SDOH at the community level. Although many nonprofit hospitals have integrated SDOH-related activities into their community benefit work, stronger policies are necessary to encourage greater investments at the community-level that move beyond the needs of individual patients.
Social determinants of health (SDOH) refer to the “conditions in which people are born, grow, live, work, and age.” SDOH have an outsized effect on the health outcomes of individuals and communities, above and beyond formal medical care. For this reason, health care organizations such as hospitals are facing new requirements to screen patients for their individual health-related social needs and invest in improving SDOH in the communities where they are located. In this study, we investigated what approaches nonprofit hospitals use to address both patients’ health-related social needs and community-level SDOH, and present data from a national sample of 613 hospitals. We found that 44% of hospital programs addressed patients’ health-related social needs, while 56% addressed community-level SDOH, such as improving economic conditions or investing in local schools. The most common programs to address community-level SDOH were aimed at increasing social support and improving local infrastructure such as housing, parks, and transportation. Stronger policies and regulation may be necessary to encourage hospitals to invest in improving community-level SDOH above and beyond addressing individual patients’ health-related social needs.

In recent years, many students have faced economic hardship and experienced food insecurity, even as universities strive to create more equitable pathways to college. There is a need for a more holistic perspective that addresses the complexity of food insecurity amongst college students. To this end, we examined the relationship between the social determinants of health, including college food insecurity (CoFI) and childhood food insecurity (ChFI), and their relationship with well-being measures. The study sample was a convenience sample that included 372 students at a public university who responded to an online survey in fall 2021. Students were asked to report their food security status in the previous 30 days. We used the following analytical strategies: chi-square tests to determine differences between food secure (FS) and food insecure (FI) students; binary logistic regression of CoFI on student demographics and ChFI; and ordinal or binary logistic regression for well-being measures. Black students, off-campus students, first-generation students, in-state students, and humanities/behavioral/social/health sciences majors were more likely to report CoFI. FI students were more likely to have experienced ChFI and to have lower scores on all well-being measures. ChFI was associated with four well-being measures and its effects were mediated by CoFI. College student health initiatives would benefit from accounting for SDOH, including ChFI experiences and its subsequent cumulative disadvantages experienced during college.

OBJECTIVE: Public Health officials are often challenged to effectively allocate limited resources. Social determinants of health (SDOH) may cluster in areas to cause unique profiles related to various adverse life events. The authors use the framework of unintended teen pregnancies to illustrate how to identify the most vulnerable neighborhoods.
METHODS: This study used data from the U.S. American Community Survey, Princeton Eviction Lab, and Connecticut Office of Vital Records. Census tracts are small statistical subdivisions of a county. Latent class analysis (LCA) was employed to separate the 832 Connecticut census tracts into four distinct latent classes based on SDOH, and GIS mapping was utilized to visualize the distribution of the most vulnerable neighborhoods. GEE Poisson regression model was used to assess whether latent classes were related to the outcome. Data were analyzed in May 2021.
RESULTS: LCA\'s results showed that class 1 (non-minority non-disadvantaged tracts) had the least diversity and lowest poverty of the four classes. Compared to class 1, class 2 (minority non-disadvantaged tracts) had more households with no health insurance and with single parents; and class 3 (non-minority disadvantaged tracts) had more households with no vehicle available, that had moved from another place in the past year, were low income, and living in renter-occupied housing. Class 4 (minority disadvantaged tracts) had the lowest socioeconomic characteristics.
CONCLUSIONS: LCA can identify unique profiles for neighborhoods vulnerable to adverse events, setting up the potential for differential intervention strategies for communities with varying risk profiles. Our approach may be generalizable to other areas or other programs.
CONCLUSIONS: What is already known on this topic Public health practitioners struggle to develop interventions that are universally effective. The teen birth rates vary tremendously by race and ethnicity. Unplanned teen pregnancy rates are related to multiple social determinants and behaviors. Latent class analysis has been applied successfully to address public health problems. What this study adds While it is the pregnancy that is not planned rather than the birth, access to pregnancy intention data is not available resulting in a dependency on teen birth data for developing public health strategies. Using teen birth rates to identify at-risk neighborhoods will not directly represent the teens at risk for pregnancy but rather those who delivered a live birth. Since teen birth rates often fluctuate due to small numbers, especially for small neighborhoods, LCA may avoid some of the limitations associated with direct rate comparisons. The authors illustrate how practitioners can use publicly available SDOH from the Census Bureau to identify distinct SDOH profiles for teen births at the census tract level. How this study might affect research, practice or policy These profiles of classes that are at heightened risk potentially can be used to tailor intervention plans for reducing unintended teen pregnancy. The approach may be adapted to other programs and other states to prioritize the allocation of limited resources.

UNASSIGNED: Individuals reside within communities influenced by various social determinants impacting health, which may harmonize or conflict at individual and neighborhood levels. While some experience concordant circumstances, discordance is prevalent, yet poorly understood due to the lack of a universally accepted method for quantifying it. This paper proposes a methodology to address this gap.
UNASSIGNED: We propose a systematic approach to operationalize concordance and discordance between individual and neighborhood social determinants, using household income (HHI) (continuous) and race/ethnicity (categorical) as examples for individual social determinants. We demonstrated our method with a small dataset that combines self-reported individual data with geocoded neighborhood level. We anticipate that the risk profiles created by either self-reported individual data or neighborhood-level data alone will differ from patterns demonstrated by typologies based on concordance and discordance.
UNASSIGNED: In our cohort, it was revealed that 20% of patients experienced discordance between their HHIs and neighborhood characteristics. Additionally, 38% reside in racially/ethnically concordant neighborhoods, 23% in discordant ones, and 39% in neutral ones.
UNASSIGNED: Our study introduces an innovative approach to defining and quantifying the notions of concordance and discordance in individual attributes concerning neighborhood-level social determinants. It equips researchers with a valuable tool to conduct more comprehensive investigations into the intricate interplay between individuals and their environments. Ultimately, this methodology facilitates a more accurate modeling of the true impacts of social determinants on health, contributing to a deeper understanding of this complex relationship.