A Review of COVID-19 Hotels in New York City During the Early 2020 Outbreak: An Alternative Care Model.

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.

Achieving Equitable Cardiovascular Care for All: ACC Board of Trustees Health Equity Task Force Action Plan.

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.

Racial and Ethnic Disparities Within Social Determinants of Health Amongst Patients With Systemic Lupus Erythematosus.

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.

Improving Pathways to Care for Ethnic Minority Communities.

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.

Substance Use and College Completion Among Two-Year and Four-Year College Students From a Nationally Representative Longitudinal Study.

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.

Illuminating Perspectives: Navigating Eye Care Access in Sub-Saharan Africa Through the Social Determinants of Health.

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.

Social Determinants of Health and College Food Insecurity.

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.

Measuring concordance and discordance between selected individual characteristics and corresponding neighborhood-level social determinants of health.

Background: 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. Methods: 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. Results: 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. Conclusion: 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.

Utilizing social determinants of health to identify most vulnerable neighborhoods-Latent class analysis and GIS map.

OBJECTIVES: 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. KEY MESSAGES: 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.

Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing.

PURPOSE: This study aims to understand the impact of the COVID-19 pandemic on social determinants of health (SDOH) of marginalized racial/ethnic US population groups, specifically African Americans and Asians, by leveraging natural language processing (NLP) and machine learning (ML) techniques on race-related spatiotemporal social media text data. Specifically, this study establishes the extent to which Latent Dirichlet Allocation (LDA) and Gibbs Sampling Dirichlet Multinomial Mixture (GSDMM)-based topic modeling determines social determinants of health (SDOH) categories, and how adequately custom named-entity recognition (NER) detects key SDOH factors from a race/ethnicity-related Reddit data corpus. METHODS: In this study, we collected race/ethnicity-specific data from 5 location subreddits including New York City, NY; Los Angeles, CA; Chicago, IL; Philadelphia, PA; and Houston, TX from March to December 2019 (before COVID-19 pandemic) and from March to December 2020 (during COVID-19 pandemic). Next, we applied methods from natural language processing and machine learning to analyze SDOH issues from extracted Reddit comments and conversation threads using feature engineering, topic modeling, and custom named-entity recognition (NER). RESULTS: Topic modeling identified 35 SDOH-related topics. The SDOH-based custom NER analyses revealed that the COVID-19 pandemic significantly impacted SDOH issues of marginalized Black and Asian communities. On average, the Social and Community Context (SCC) category of SDOH had the highest percent increase (366%) from the pre-pandemic period to the pandemic period across all locations and population groups. Some of the detected SCC issues were racism, protests, arrests, immigration, police brutality, hate crime, white supremacy, and discrimination. CONCLUSION: Reddit social media platform can be an alternative source to assess the SDOH issues of marginalized Black and Asian communities during the COVID-19 pandemic. By employing NLP/ML techniques such as LDA/GSDMM-based topic modeling and custom NER on a race/ethnicity-specific Reddit corpus, we uncovered various SDOH issues affecting marginalized Black and Asian communities that were significantly worsened during the COVID-19 pandemic. As a result of conducting this research, we recommend that researchers, healthcare providers, and governments utilize social media and collaboratively formulate responses and policies that will address SDOH issues during public health crises.

The Impact of Social Determinants of Health on Outcomes Among Individuals With HIV and Heart Failure: A Literature Review.

This narrative review examines the complex interplay between social determinants of health (SDoH) and the outcomes for individuals living with human immunodeficiency virus (HIV) and heart failure (HF), two conditions that pose significant socioeconomic burdens globally. With millions affected by these conditions, the review delves into how socioeconomic status, education, geography, and immigration status influence health outcomes. It further explores the exacerbating roles of stigma and mental health issues, underscoring the need for comprehensive interventions and the importance of enhancing health literacy and community support. Key findings suggest that lower socioeconomic status, limited education, rural residency, and immigrant status are associated with poorer health outcomes in individuals with HIV and HF. These factors contribute to increased morbidity and mortality and decreased quality of life, highlighting the necessity of addressing SDoH to improve patient care and outcomes. There is a critical need for integrated care models that consider the medical, social, and psychological factors affecting those with HIV and HF. Strategies proposed include improving access to care, addressing socioeconomic disparities, enhancing educational efforts, and fostering community engagement. Moreover, the importance of mental healthcare integration into the management of HIV and HF is strongly advocated to improve patient outcomes. By taking a comprehensive look at the various social challenges, embracing integrated care models, and making sure everyone has fair access to healthcare services, we can make real progress in enhancing the lives of those affected by HIV and HF. This approach cannot only lower death rates but also significantly improve the quality of life for these individuals.

The Effect of Social Determinants of Health on Psychological Health Among Older Adults in Ghana.

This study examines the effects of various factors, including socioeconomic status, built environment, access to healthcare, educational level, social participation, and economic stability, on older adults' psychological health. The current study analyzed a nationally representative sub-sample of 2,577 respondents aged 50 and above from the World Health Organization's Study on Global AGEing and Adult Health (WHO SAGE) Wave 2. WHO SAGE Wave 2 is cross-sectional data collected via in-person structured interviews. Ordinal least square (OLS) was used to measure the average effect of social determinants of health (SDoH), and quantile regression analysis was used to determine the effects of SDoH on older adults' psychological health at different quantiles, specifically 10th, 50th, and 90th percentiles. Significant determinants of psychological health across all quantiles included age, healthcare access, marital status, economic stability, and neighborhood and built environment. However, the degrees of significance for residence, gender, educational level, chronic diseases, and social participation varied between quantiles, showing differing effects on older adults with high or low psychological health. Religion was insignificant across all quantiles. This study highlights the need for governments and public health agencies to develop targeted interventions and strategies that support the psychological well-being of older adults in the country.

County Mammogram Uptake can be Predicted from Social Determinants of Health, but Patterns Do Not Hold for Individual Patients.

Purpose: The objective of this study is to describe patterns in barriers to breast cancer screening uptake with the end goal of improving screening adherence and decreasing the burden of mortality due to breast cancer. This study looks at social determinants of health and their association to screening and mortality. It also investigates the extent that models trained on county data are generalizable to individuals. Methods: County level screening uptake and age adjusted mortality due to breast cancer are combined with the Centers for Disease Controls Social Vulnerability Index (SVI) to train a model predicting screening uptake rates. Patterns learned are then applied to de-identified electronic medical records from individual patients to make predictions on mammogram screening follow through. Results: Accurate predictions can be made about a county's breast cancer screening uptake with the SVI. However, the association between increased screening, and decreased age adjusted mortality, doesn't hold in areas with a high proportion of minority residents. It is also shown that patterns learned from county SVI data have little discriminative power at the patient level. Conclusion: This study demonstrates that social determinants in the SVI can explain much of the variance in county breast cancer screening rates. However, these same patterns fail to discriminate which patients will have timely follow through of a mammogram screening test. This study also concludes that the core association between increased screening and decreased age adjusted mortality does not hold in high proportion minority areas. Objective: The objective of this study is to describe patterns in social determinants of health and their association with female breast cancer screening uptake, age adjusted breast cancer mortality rate and the extent that models trained on county data are generalizable to individuals.

[In matters of health we should all be equal : unfortunately some are more equal than others ]. / Face à la COVID-19. En matière de santé nous devrions tous être égaux : malheureusement certains sont plus égaux que d'autres .

In 1978, at Alma Ata, it was clearly claimed that inequities in health are simply not acceptable. Each individual should be able to achieve the highest possible level of health (in its holistic definition). This should be considered as a fundamental human right. However, this latter is largely undermined by the unequal distribution of power, money and resources. The gap separating advantaged from disadvantaged people has clearly been highlighted, and even accentuated, during the recent health care crisis due to COVID-19. This schism is widely present, both at the international level but also within the boundaries of each country, rich or poor. In the interest of society in general, it will be mandatory to address - rapidly - these social determinants of health (the causes of the causes), because the health inequity is not the illustration of a system failure. It is the result of the organization and operationalization of the system itself.

À Alma Ata en 1978, il est clairement établi que les iniquités ne sont pas acceptables en matière de santé. Le concept que chaque individu doit pouvoir atteindre le plus haut niveau de santé possible (dans sa définition holistique) est considéré comme un droit fondamental humain. Toutefois, ce dernier est largement battu en brèche par la distribution non équitable de la puissance, de l'argent, et des ressources. Le fossé qui sépare les favorisés des défavorisés a clairement été mis en lumière, voire même accentué, à l'occasion de la récente crise sanitaire due à la COVID-19. Ce schisme est largement présent au niveau international, mais également à l'intérieur de chaque pays, riche ou pauvre. Dans l'intérêt sociétal général, il faudra s'attaquer ­ rapidement ­ aux déterminants sociaux de la santé (les causes des causes). En effet, cette iniquité en santé n'est pas l'illustration d'une défaillance d'un système, c'est le résultat de l'organisation et l'opérationnalisation même du système.

Low income and education are associated with greater ASCVD risk scores among adults in the US.

Introduction: Social determinants of health (SDOH) are fundamental causes of poor cardiovascular health, yet cardiovascular disease (CVD) risk assessment tools exclude SDOH. Our objective was to determine whether SDOH are independently associated with CVD risk in US adults. Methods: Utilizing the National Health and Nutrition Examination Survey (NHANES), we combined years 1999-2018 and included participants aged 40-79 without history of CVD and with information to calculate CVD risk (n = 21,694). Ten-year risk of atherosclerotic CVD (ASCVD) was calculated using the American Heart Association/American College of Cardiology (AHA/ACC) pooled cohort equations. We used linear regression models to estimate the association between SDOH and ASCVD risk, after adjusting for demographic factors. All analyses accounted for the complex survey design. Results: Mean age was 54.7 years, with 52.7 % female, 73.8 % non-Hispanic White, 9.4 % non-Hispanic Black, and 10.7 % Hispanic. From adjusted models, compared with an income of ≥ $75 K, ASCVD risk was greater by 3.06 (95 % CI: 2.65, 3.47) among those with income < $25 K, by 1.55 (95 % CI: 1.21, 1.89) among those with income $25 K-<$55 K, and by 1.20 (95 % CI: 0.84, 1.56) among those with income $55 K-<$75 K. Compared to college graduates, ASCVD risk was greater by 3.09 (95 % CI: 2.56, 3.62) among those with less than a high school education, by 1.65 (95 % CI: 1.31, 200) among those who were high school graduates, and by 1.41 (95 % CI: 1.11, 1.72) among those with some college education. Conclusion: We found strong graded associations between lower income and lower educational attainment with greater CVD risk.

Raising patient voices in medical education: an assessment of patient perceived effect of social determinants of health conversations and the patient-physician relationship on quality of obstetric care, to inform the development of patient driven medical education curricula.

Background: Conventional medical education lacks the lived experiences of patients which may authentically convey the social determinants of health (SDOH) and resulting health disparities. Videos of first-person patient narratives may prove a valuable education tool in this regard. The objective of this study is to investigate how patient demographics, satisfaction with care, and patient-physician relationships influence obstetric patient interest and willingness to contribute to a SDOH video curriculum by sharing their lived experiences through first-person narratives. Methods: Study design included an anonymous, cross-sectional survey and an optional semi-structured telephone interview. Participants were 18 years old with a live-birth delivery <8 weeks prior to recruitment and received care during their pregnancy at Los Angeles General Medical Center (LAGMC). Variables surveyed included demographics, satisfaction with care, aspects of the patient-physician relationship, perceived utility, and personal interest in contributing to an educational SDOH video. A bivariate analysis was conducted to compare participants' characteristics and responses on interest in contributing and perceived helpfulness of first-person patient SDOH videos. Results: 72.43% of participants (N = 70) believed a patient's first-person video on SDOH would be "Helpful" in preparing physicians to provide competent medical care; however, 71.43% responded "No" to "Interest" in sharing with physicians their experiences with SDOH. English preference and being U.S. born were factors significantly associated with viewing first-person SDOH video as "Helpful" (P > 0.001). Major themes from telephone interviews reflected enthusiasm for first-person patient narratives and perceived benefits of using patient experiences to educate physicians on SDOH. However, participants cited barriers to disclosing SDOH including brief and strictly clinical interactions with physicians, lack of continuity of care, and fear of being judged by physicians. Conclusion: While most participants recognized the utility of addressing social needs in medical education and reported satisfaction with their obstetricians and care, these factors did not uniformly translate into willingness to contribute first-person patient narratives. To improve the representation of patients from racial, ethnic, gender, linguistic, and sexual minorities into medical curricula, further research and strategies are needed to overcome the barriers discouraging patient disclosure of social needs to physicians.

The PhenX Toolkit: Recommended Measurement Protocols for Social Determinants of Health Research.

Health disparities are driven by unequal conditions in the environments in which people are born, live, learn, work, play, worship, and age, commonly termed the Social Determinants of Health (SDoH). The availability of recommended measurement protocols for SDoH will enable investigators to consistently collect data for SDoH constructs. The PhenX (consensus measures for Phenotypes and eXposures) Toolkit is a web-based catalog of recommended measurement protocols for use in research studies with human participants. Using standard protocols from the PhenX Toolkit makes it easier to compare and combine studies, potentially increasing the impact of individual studies, and aids in comparability across literature. In 2018, the National Institute on Minority Health and Health Disparities provided support for an initial expert Working Group to identify and recommend established SDoH protocols for inclusion in the PhenX Toolkit. In 2022, a second expert Working Group was convened to build on the work of the first SDoH Working Group and address gaps in the SDoH Toolkit Collections. The SDoH Collections consist of a Core Collection and Individual and Structural Specialty Collections. This article describes a Basic Protocol for using the PhenX Toolkit to select and implement SDoH measurement protocols for use in research studies. © 2024 The Authors. Current Protocols published by Wiley Periodicals LLC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. Basic Protocol: Using the PhenX Toolkit to select and implement SDoH protocols.

Does Asthma Increase the Odds of Suicidal Thoughts, Plans, and Attempts?

Background Asthma is a chronic inflammatory disease of the airways affecting more than 250 million people worldwide. In the past, a possible relationship between asthma and suicidality has been hypothesized. However, further research is required as this link has not been clearly established. Our objective was to use propensity score matching to answer the following research question: does having asthma increase one's odds of developing suicidality throughout their lifetime and, if so, how large is this increase? Methodology We utilized data from the 2018 National Survey on Drug Use and Health. We analyzed the relationship between currently having asthma and having had suicidal thoughts, suicide plans, and suicide attempts over the past 12 months. Chi-square analyses were performed both before and after completing propensity score matching. Results Before matching, it was found that, compared to individuals without asthma, asthmatic individuals had 31.2% higher odds of having suicidal thoughts (p = 0.010) and 97.4% higher odds of a suicide attempt (p = 0.012). After controlling for confounders by matching, there was no longer a relationship between having asthma and suicidal thoughts (p = 0.707), suicidal plans (p = 0.523), and suicidal attempts (p = 0.260). Conclusions These findings highlight that while asthma may appear to be associated with suicidality, this association does not persist after controlling for confounding factors. Hence, it is recommended that more research be conducted on this topic and that possible confounders be further researched. In particular, there is a need to better understand the role of social determinants and other contributors to health outcomes.

Does Samaritan, a Digital Support Platform, Help Improve Social Determinants of Health for Mental Health Offenders in Jacksonville, Florida?

Background The objective of this study is to evaluate if access to Samaritan, a digital support platform, improves the social determinants of health (SDOH) needs for patients enrolled in a jail diversion program in Jacksonville, FL. Methodology A total of 59 patients who were enrolled in a jail diversion program for homeless mentally ill misdemeanor offenders in Jacksonville, FL, participated in the study. Of the 59 patients, 47 individuals consented to participate in Samaritan while 12 declined participation. Demographics and the Health Leads Social Needs Screening Tool scores from the electronic health record were compared between groups along with average financial support from Samaritan. These non-normally distributed variables were compared using Wilcoxon rank-sum tests. Results The majority of study participants were male (92%, n = 43). The average age of study participants was 42 years. The average income from donors on the platform over three months for those who opted in was $48.80 (SD = 53.75). Among the individual Health Leads Social Needs Screening Tool questions, intact Housing was statistically significant (Z = -2.002, p = 0.045), suggesting access to a digital technology such as Samaritan might help improve SDOH needs. Conclusions Access to digital technologies, such as Samaritan, might help offenders with mental illness adjust to the many challenges they face upon reentry into the community. As such, these devices may represent one means for improving SDOH needs for disadvantaged mental health patients.

The Impact of Social Determinants of Health on Discharge Disposition Following One- and Two-Level Posterior Interbody Fusion.

Background Current research is limited in exploring the impact of social determinants of health (SDOH) on the discharge location within elective spine surgery. Further understanding of the influence of SDOH on disposition is necessary to improve outcomes. This study explores how SDOH influence discharge disposition for patients undergoing one- or two-level posterior interbody fusion (TLIF/PLIF). Methods This was a retrospective propensity-matched cohort study. Patients who underwent TLIF/PLIF between 2017 and 2020 at a single academic medical center were identified. The chart review gathered demographics, perioperative characteristics, intra/post-operative complications, discharge disposition, and 90-day outcomes. Discharge dispositions included subacute nursing facility (SNF), home with self-care (HSC), home with health services (HHS), and acute rehab facility (ARF). Demographic, perioperative, and disposition outcomes were analyzed by chi-square analysis and one-way ANOVA based on gender, race, and income quartiles. Results Propensity score matching for significant demographic factors isolated 326 patients. The rate of discharge to SNF was higher in females compared to males (25.00% vs 10.56%; p=0.001). Men were discharged to home at a higher rate than women (75.4% vs 61.95%; p=0.010). LatinX patients had the highest rate of home discharge, followed by Asians, Caucasians, and African Americans (83.33% vs 70.31% vs 66.45% vs 65.90%; p<0.001). The post hoc Tukey test demonstrated statistically significant differences between Asians and all other races in the context of age and BMI. Additionally, patients discharged to SNF showed the highest Charlson comorbidity index (CCI) score, followed by those at ARF, HHS, and HSC (4.36 vs 4.05 vs 2.87 vs 2.37; p<0.001). The estimated median income for the cohort ranged from $52,000 to $250,001, with no significant differences in income seen across comparisons. Conclusion Discharge disposition following one- or two-level TLIF/PLIF shows significant association with gender and race. No association was seen when comparing discharge rates among zip code-level median income quartiles.