Lessons Learned from Health Disparities in Coronavirus Disease-2019 in the United States.

In the United States, the coronavirus disease-2019 (COVID-19) pandemic has disproportionally affected Black, Latinx, and Indigenous populations, immigrants, and economically disadvantaged individuals. Such historically marginalized groups are more often employed in low-wage jobs without health insurance and have higher rates of infection, hospitalization, and death from COVID-19 than non-Latinx White individuals. Mistrust in the health care system, language barriers, and limited health literacy have hindered vaccination rates in minorities, further exacerbating health disparities rooted in structural, institutional, and socioeconomic inequities. In this article, we discuss the lessons learned over the last 2 years and how to mitigate health disparities moving forward.

COVID-19 in the homeless population: a scoping review and meta-analysis examining differences in prevalence, presentation, vaccine hesitancy and government response in the first year of the pandemic.

AIMS: People experiencing homelessness (PEH) have been identified as being increasingly susceptible to Coronavirus disease (COVID-19), with policies enacted to test, isolate, increase hygiene practices and prioritise vaccines among this population. Here, we conduct a scoping review of the current evidence-base pertaining to the prevalence and presentation of COVID-19 in PEH, COVID-vaccine hesitancy rates and government interventions enacted within the first year of the pandemic for PEH. MATERIALS AND METHODS: A systematic search was conducted on Pubmed, Cochrane, Embase and MedRxiv databases for studies reporting primary data on COVID-19 prevalence and clinical characteristics in PEH, vaccine uptake for PEH and policies enacted targeting PEH. Study qualities were assessed with The National Heart, Lung and Blood Institute's set of Study Quality. RESULTS: Eighty-three studies were included in our final analysis. The overall prevalence of symptomatic COVID-19 infection in PEH is estimated at 35%. The most common symptoms found were cough and shortness of breath, followed by fever. Concerns regarding vaccine hesitancy amongst PEH related to thoroughness of COVID-19 vaccine clinical trials, side effects and mistrust of the government. The main strategies implemented by governments were mass testing, adaption of healthcare service provision, provision of alternative housing, encouraging personal hygiene (hand sanitation and mask wearing), and inter-organisational communication. DISCUSSION: In our meta-analysis, 35% of PEH with a COVID-19 infection presented symptomatically; the low prevalence of symptomatic COVID-19 infection suggests widespread testing following outbreaks would be beneficial for this group of individuals. Temporary recuperation units and measures for housing stability in the pandemic, namely provision of alternative housing and stopping evictions, were found to be highly effective. High rates of vaccine hesitancy means that education and encouragement towards vaccination would be beneficial for this vulnerable population, where comorbidities are common. Finally increased focus in research should be placed on the mental health burden of COVID-19 and the pandemic on PEH moving forwards.

Social and structural determinants of COVID-19 vaccine uptake among racial and ethnic groups.

Latino, Black, American Indian/Alaska Native (AI/AN), and Native Hawaiian or Other Pacific Islander people have the highest hospitalizations and death rates from COVID-19. Social inequalities have exacerbated COVID-19 related health disparities. This study examines social and structural determinants of COVID-19 vaccine uptake. Results from logistic regressions suggest Latino and Black people were less likely to be vaccinated. People that did not have health insurance, a primary care doctor and were unemployed were more than 30% less likely to be vaccinated for COVID-19. Greater perceived health inequalities in one's neighborhood and perceived racial/ethnic discrimination were associated with a decreased odds in being vaccinated. People that suffered the loss of a household member from COVID-19 were three times more likely to have been vaccinated. Establishing policies that will increase access to health insurance and create jobs with living wages may have lasting impacts. Furthermore, collaboration with local and national community organizations can enhance the development of sustainable solutions.

Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets.

BACKGROUND: The issue of food insecurity is becoming increasingly important to public health practitioners because of the adverse health outcomes and underlying racial disparities associated with insufficient access to healthy foods. Prior research has used data sources such as surveys, geographic information systems, and food store assessments to identify regions classified as food deserts but perhaps the individuals in these regions unknowingly provide their own accounts of food consumption and food insecurity through social media. Social media data have proved useful in answering questions related to public health; therefore, these data are a rich source for identifying food deserts in the United States. OBJECTIVE: The aim of this study was to develop, from geotagged Twitter data, a predictive model for the identification of food deserts in the United States using the linguistic constructs found in food-related tweets. METHODS: Twitter's streaming application programming interface was used to collect a random 1% sample of public geolocated tweets across 25 major cities from March 2020 to December 2020. A total of 60,174 geolocated food-related tweets were collected across the 25 cities. Each geolocated tweet was mapped to its respective census tract using point-to-polygon mapping, which allowed us to develop census tract-level features derived from the linguistic constructs found in food-related tweets, such as tweet sentiment and average nutritional value of foods mentioned in the tweets. These features were then used to examine the associations between food desert status and the food ingestion language and sentiment of tweets in a census tract and to determine whether food-related tweets can be used to infer census tract-level food desert status. RESULTS: We found associations between a census tract being classified as a food desert and an increase in the number of tweets in a census tract that mentioned unhealthy foods (P=.03), including foods high in cholesterol (P=.02) or low in key nutrients such as potassium (P=.01). We also found an association between a census tract being classified as a food desert and an increase in the proportion of tweets that mentioned healthy foods (P=.03) and fast-food restaurants (P=.01) with positive sentiment. In addition, we found that including food ingestion language derived from tweets in classification models that predict food desert status improves model performance compared with baseline models that only include socioeconomic characteristics. CONCLUSIONS: Social media data have been increasingly used to answer questions related to health and well-being. Using Twitter data, we found that food-related tweets can be used to develop models for predicting census tract food desert status with high accuracy and improve over baseline models. Food ingestion language found in tweets, such as census tract-level measures of food sentiment and healthiness, are associated with census tract-level food desert status.

Developing an obesity research agenda with British Pakistani women living in deprived areas with involvement from multisectoral stakeholders: Research priority setting with a seldom heard group.

INTRODUCTION: British Pakistani women have exceptionally high rates of obesity and yet are seldom heard in a research priority setting concerning weight management. The objectives of this study were (i) to ascertain what multisectoral professionals perceive to be the most pressing unmet obesity needs or topic areas that need more research in relation to Pakistani women living in deprived areas of Bradford and (ii) to determine the top 10 obesity health priorities for this group to develop an obesity research agenda. METHODS: A two-step process was adopted using the following: (i) a survey of a wide range of multisectoral professional stakeholders (n = 159) and (ii) a ranking exercise involving Pakistani women living in deprived areas of Bradford (n = 32) to select and prioritize their top 10 obesity health concerns and unmet needs from a list of 31 statements identified in the survey and previous research. Survey data were analysed using inductive content analysis and themes were identified. Themes were translated into statements to be ranked by Pakistani women. The ranking exercise was conducted by telephone either via voice or video call. Data were analysed using a reverse scoring system. RESULTS: Survey responses were grouped into statements reflecting the following three categories: education needs; healthy behaviour barriers and mental well-being. The highest rankings were given by Pakistani women to statements on mental health and the need for education. The top 10 prioritized statements were developed with members of the public into an obesity research agenda that reflected the target population. CONCLUSION: Actively engaging British Pakistani women in setting research priorities provided a unique opportunity to understand the key areas they think are important for future research. The culminating research agenda can be used by researchers to advance the field of obesity research in Pakistani communities, thus producing research outputs that are relevant to and have impact in this population. PATIENT OR PUBLIC CONTRIBUTION: Participants in the ranking exercise collected data. Public contributors were involved in developing the prioritized statements into a research agenda.

COVID-19 and social determinants of health: Medicaid managed care organizations' experiences with addressing member social needs.

BACKGROUND: The significant adverse social and economic impact of the COVID-19 pandemic has cast broader light on the importance of addressing social determinants of health (SDOH). Medicaid Managed Care Organizations (MMCOs) have increasingly taken on a leadership role in integrating medical and social services for Medicaid members. However, the experiences of MMCOs in addressing member social needs during the pandemic has not yet been examined. AIM: The purpose of this study was to describe MMCOs' experiences with addressing the social needs of Medicaid members during the COVID-19 pandemic. METHODS: The study was a qualitative study using data from 28 semi-structured interviews with representatives from 14 MMCOs, including state-specific markets of eight national and regional managed care organizations. Data were analyzed using thematic analysis. RESULTS: Four themes emerged: the impact of the pandemic, SDOH response efforts, an expanding definition of SDOH, and managed care beyond COVID-19. Specifically, participants discussed the impact of the pandemic on enrollees, communities, and healthcare delivery, and detailed their evolving efforts to address member nonmedical needs during the pandemic. They reported an increased demand for social services coupled with a significant retraction of community social service resources. To address these emerging social service gaps, participants described mounting a prompt and adaptable response that was facilitated by strong existing relationships with community partners. CONCLUSION: Among MMCOs, the COVID-19 pandemic has emphasized the importance of addressing member social needs, and the need for broader consideration of what constitutes SDOH from a healthcare delivery standpoint.

Social Determinants of Cardiovascular Disease.

Social determinants of health (SDoH), which encompass the economic, social, environmental, and psychosocial factors that influence health, play a significant role in the development of cardiovascular disease (CVD) risk factors as well as CVD morbidity and mortality. The COVID-19 pandemic and the current social justice movement sparked by the death of George Floyd have laid bare long-existing health inequities in our society driven by SDoH. Despite a recent focus on these structural drivers of health disparities, the impact of SDoH on cardiovascular health and CVD outcomes remains understudied and incompletely understood. To further investigate the mechanisms connecting SDoH and CVD, and ultimately design targeted and effective interventions, it is important to foster interdisciplinary efforts that incorporate translational, epidemiological, and clinical research in examining SDoH-CVD relationships. This review aims to facilitate research coordination and intervention development by providing an evidence-based framework for SDoH rooted in the lived experiences of marginalized populations. Our framework highlights critical structural/socioeconomic, environmental, and psychosocial factors most strongly associated with CVD and explores several of the underlying biologic mechanisms connecting SDoH to CVD pathogenesis, including excess stress hormones, inflammation, immune cell function, and cellular aging. We present landmark studies and recent findings about SDoH in our framework, with careful consideration of the constructs and measures utilized. Finally, we provide a roadmap for future SDoH research focused on individual, clinical, and policy approaches directed towards developing multilevel community-engaged interventions to promote cardiovascular health.

Geographic concentration of SARS-CoV-2 cases by social determinants of health in metropolitan areas in Canada: a cross-sectional study.

BACKGROUND: Understanding inequalities in SARS-CoV-2 transmission associated with the social determinants of health could help the development of effective mitigation strategies that are responsive to local transmission dynamics. This study aims to quantify social determinants of geographic concentration of SARS-CoV-2 cases across 16 census metropolitan areas (hereafter, cities) in 4 Canadian provinces, British Columbia, Manitoba, Ontario and Quebec. METHODS: We used surveillance data on confirmed SARS-CoV-2 cases and census data for social determinants at the level of the dissemination area (DA). We calculated Gini coefficients to determine the overall geographic heterogeneity of confirmed cases of SARS-CoV-2 in each city, and calculated Gini covariance coefficients to determine each city's heterogeneity by each social determinant (income, education, housing density and proportions of visible minorities, recent immigrants and essential workers). We visualized heterogeneity using Lorenz (concentration) curves. RESULTS: We observed geographic concentration of SARS-CoV-2 cases in cities, as half of the cumulative cases were concentrated in DAs containing 21%-35% of their population, with the greatest geographic heterogeneity in Ontario cities (Gini coefficients 0.32-0.47), followed by British Columbia (0.23-0.36), Manitoba (0.32) and Quebec (0.28-0.37). Cases were disproportionately concentrated in areas with lower income and educational attainment, and in areas with a higher proportion of visible minorities, recent immigrants, high-density housing and essential workers. Although a consistent feature across cities was concentration by the proportion of visible minorities, the magnitude of concentration by social determinant varied across cities. INTERPRETATION: Geographic concentration of SARS-CoV-2 cases was observed in all of the included cities, but the pattern by social determinants varied. Geographically prioritized allocation of resources and services should be tailored to the local drivers of inequalities in transmission in response to the resurgence of SARS-CoV-2.

How public health crises expose systemic, day-to-day health inequalities in low- and-middle income countries: an example from East Africa.

BACKGROUND: The current Coronavirus disease pandemic reveals political and structural inequities of the world's poorest people who have little or no access to health care and yet the largest burdens of poor health. This is in parallel to a more persistent but silent global health crisis, antimicrobial resistance (AMR). We explore the fundamental challenges of health care in humans and animals in relation to AMR in Tanzania. METHODS: We conducted 57 individual interviews and focus groups with providers and patients in high, middle and lower tier health care facilities and communities across three regions of Tanzania between April 2019 and February 2020. We covered topics from health infrastructure and prescribing practices to health communication and patient experiences. RESULTS: Three interconnected themes emerged about systemic issues impacting health. First, there are challenges around infrastructure and availability of vital resources such as healthcare staff and supplies. Second, health outcomes are predicated on patient and provider access to services as well as social determinants of health. Third, health communication is critical in defining trusted sources of information, and narratives of blame emerge around health outcomes with the onus of responsibility for action falling on individuals. CONCLUSION: Entanglements between infrastructure, access and communication exist while constraints in the health system lead to poor health outcomes even in 'normal' circumstances. These are likely to be relevant across the globe and highly topical for addressing pressing global health challenges. Redressing structural health inequities can better equip countries and their citizens to not only face pandemics but also day-to-day health challenges.

Identifying and Addressing Social Determinants of Learning During the COVID-19 Pandemic.

The COVID-19 pandemic has negatively impacted the health of people from communities of color and people of limited socioeconomic means in a disproportionate way due to social determinants of health (SDoH). The Centers for Disease Control defines SDoH as the "conditions in the places where people live, learn, work, and play that affect a wide range of health and quality-of life-risks and outcomes." A related construct, social determinants of learning (SDoL), includes contextual conditions and variables that impact students' ability to optimally participate in their education, including academic and clinical development. SDoL directly impact students' ability to participate in the educational process. During the COVID-19 pandemic, students struggling with SDoH and, by extension SDoL, may be more likely to have sick family members, caregiving responsibilities, food and housing insecurity, and obligations to supplement lost family wages. SDoL are also influenced by individual experiences within and outside of the classroom. Beyond bringing this matter to the attention of our profession, especially clinical and academic educators, we must take action to reach and support students who are at higher academic risk due to the SDoL. The purpose of this paper is to (1) define SDoL, (2) explain how SDoL are impacting doctor of physical therapy and physical therapist assistant students, and (3) discuss actions that physical therapists and physical therapist assistants can take to mitigate the effects of SDoL on current doctor of physical therapy and physical therapist assistant students. IMPACT: This Perspective is one of the first explorations of how SDoL affect physical therapy students during the pandemic and provides concrete suggestions on how educators in both academic and clinical settings can help students succeed when they are negatively affected by SDoL.

Toward a New Strategic Public Health Science for Policy, Practice, Impact, and Health Equity.

The COVID-19 pandemic and its social and health impact have underscored the need for a new strategic science agenda for public health. To optimize public health impact, high-quality strategic science addresses scientific gaps that inform policy and guide practice. At least 6 scientific gaps emerge from the US experience with COVID-19: health equity science, data science and modernization, communication science, policy analysis and translation, scientific collaboration, and climate science. Addressing these areas within a strategic public health science agenda will accelerate achievement of public health goals. Public health leadership and scientists have an unprecedented opportunity to use strategic science to guide a new era of improved and equitable public health.

The Surgeon's Role in Addressing Racism and Achieving Health Equity.

In the United States, the nation's health is not an organic outcome. It is not a coincidence that certain groups of people living in the United States experience higher premature death rates or poorer health outcomes than others. For centuries, racial and ethnic as well as geographic differences in health outcomes have been part of the American landscape, so entrenched in society that many people fail to recognize that health inequities were intentionally derived. A national crisis tends to magnify inequities in our society, but even more alarming is the fact that as the country becomes more racially and ethnically diverse in the coming years, the health inequities are projected to worsen if we do not proactively and immediately address them. As we continue to grapple with the lasting impact of the pandemic, it is of vital importance that we utilize this time to acknowledge, understand, and seriously address the health inequities that have historically plagued the country for over 400 years. As the United States works overtime to stem the tide of the COVID-19 pandemic, it must also work equally hard to move in a more equitable, inclusive, and healthier direction, not only because of the more than 83 000 Americans dying prematurely each year but also because of the economic and national security toll it will have if not effectively addressed.

Addressing Health Disparities From a Syndemic Perspective.

As we enter the second year of the COVID-19 pandemic, there is much hope about the eventual containment of the virus, leading to some form of a new normalcy. Multiple COVID-19 vaccines have proven to be effective, and the vaccination of individuals in the United States has reached several million per day, with an ever-growing percentage of the population having been vaccinated. However, there are stark reminders of the continued disparities that have been highlighted by the COVID-19 pandemic, with different levels of vaccine accessibility across states and communities. In addition, multiple countries have not begun any vaccination implementation. Case and death rates continue to be unevenly distributed, with higher death rates in minority populations, particularly African American and Latinx individuals. This pandemic has raised to a higher level of awareness the ongoing and multiple forms of disparity associated with health and illness. For oncology nurses and scientists, how do we look to the issues so starkly presented by the pandemic and raise our awareness that the issues are not specific to COVID-19?

Impact of Social Determinants and Digital Literacy on Telehealth Acceptance for Pediatric Cardiology Care Delivery during the Early Phase of the COVID-19 Pandemic.

OBJECTIVES: To determine whether telehealth acceptance by parents of children with heart disease is predicted by sociodemographic and/or by parental digital literacy, and to assess parental perceptions of telehealth usability and reliability. STUDY DESIGN: We conducted a single center study comparing telehealth acceptance versus visit cancellation/rescheduling for pediatric cardiology visits during the early phase of the COVID-19 pandemic. All parent/guardians who consented to survey completion received a validated survey assessing their digital literacy. Consenting parents who accepted telehealth received an additional validated survey assessing their perceptions of telehealth usability and reliability. RESULTS: A total of 849 patients originally were scheduled for in-person visits between March 30 and May 8, 2020. Telehealth acceptance was highest among younger, publicly insured, Hispanic patients with primary diagnoses of arrhythmia/palpitations, chest pain, dysautonomia, dyslipidemia and acquired heart disease. Among parents who completed surveys, a determinant of telehealth acceptance was digital literacy. Telehealth was determined to be a usable and reliable means for health care delivery. CONCLUSION: Although the potential for inequitable selection of telehealth due to sociodemographic factors exists, we found that such factors were not a major determinant for pediatric cardiology care within a large, diverse, free-standing pediatric hospital.

Nurse-Led Model of Care That Helps a Community Heal: Curbside Immunizations With Assistance in Social Determinants.

The COVID-19 pandemic has overwhelmed communities. Physical, emotional, and financial struggles have heightened, especially with our vulnerable populations. People have been afraid to return to their provider's office. For children, there has been an interruption of well-visits and immunizations. As the nation saw a decline in immunization uptake, a pilot nurse-led program was designed to increase vaccinations and address the social determinant needs during a global pandemic. The purpose of this article is to describe the planning and implementation of a curbside immunization event. The Logic model was used as a framework to ensure an efficient and replicable process. Initial observations showed an overall increase in immunization uptake and 97% of participants current with recommended vaccinations. Most parents (93%) would attend again and recommend it to others. They also felt that infection control precautions helped make the care delivered safe and efficient. Social determinants of health were assessed and addressed. This method of vaccine delivery is a viable model going into the future. Others may replicate this model, and it may also serve as a platform regarding flu or COVID-19 vaccine distribution.

Individual and social determinants of SARS-CoV-2 testing and positivity in Ontario, Canada: a population-wide study.

BACKGROUND: Optimizing the public health response to reduce the burden of COVID-19 necessitates characterizing population-level heterogeneity of risks for the disease. However, heterogeneity in SARS-CoV-2 testing may introduce biased estimates depending on analytic design. We aimed to explore the potential for collider bias in a large study of disease determinants, and evaluate individual, environmental and social determinants associated with SARS-CoV-2 testing and diagnosis among residents of Ontario, Canada. METHODS: We explored the potential for collider bias and characterized individual, environmental and social determinants of being tested and testing positive for SARS-CoV-2 infection using cross-sectional analyses among 14.7 million community-dwelling people in Ontario, Canada. Among those with a diagnosis, we used separate analytic designs to compare predictors of people testing positive versus negative; symptomatic people testing positive versus testing negative; and people testing positive versus people not testing positive (i.e., testing negative or not being tested). Our analyses included tests conducted between Mar. 1 and June 20, 2020. RESULTS: Of 14 695 579 people, we found that 758 691 were tested for SARS-CoV-2, of whom 25 030 (3.3%) had a positive test result. The further the odds of testing from the null, the more variability we generally observed in the odds of diagnosis across analytic design, particularly among individual factors. We found that there was less variability in testing by social determinants across analytic designs. Residing in areas with the highest household density (adjusted odds ratio [OR] 1.86, 95% confidence interval [CI] 1.75-1.98), highest proportion of essential workers (adjusted OR 1.58, 95% CI 1.48-1.69), lowest educational attainment (adjusted OR 1.33, 95% CI 1.26-1.41) and highest proportion of recent immigrants (adjusted OR 1.10, 95% CI 1.05-1.15) were consistently related to increased odds of SARS-CoV-2 diagnosis regardless of analytic design. INTERPRETATION: Where testing is limited, our results suggest that risk factors may be better estimated using population comparators rather than test-negative comparators. Optimizing COVID-19 responses necessitates investment in and sufficient coverage of structural interventions tailored to heterogeneity in social determinants of risk, including household crowding, occupation and structural racism.

Rapid real-world data analysis of patients with cancer, with and without COVID-19, across distinct health systems.

BACKGROUND: The understanding of the impact of COVID-19 in patients with cancer is evolving, with need for rapid analysis. AIMS: This study aims to compare the clinical and demographic characteristics of patients with cancer (with and without COVID-19) and characterize the clinical outcomes of patients with COVID-19 and cancer. METHODS AND RESULTS: Real-world data (RWD) from two health systems were used to identify 146 702 adults diagnosed with cancer between 2015 and 2020; 1267 COVID-19 cases were identified between February 1 and July 30, 2020. Demographic, clinical, and socioeconomic characteristics were extracted. Incidence of all-cause mortality, hospitalizations, and invasive respiratory support was assessed between February 1 and August 14, 2020. Among patients with cancer, patients with COVID-19 were more likely to be Non-Hispanic black (NHB), have active cancer, have comorbidities, and/or live in zip codes with median household income <$30 000. Patients with COVID-19 living in lower-income areas and NHB patients were at greatest risk for hospitalization from pneumonia, fluid and electrolyte disorders, cough, respiratory failure, and acute renal failure and were more likely to receive hydroxychloroquine. All-cause mortality, hospital admission, and invasive respiratory support were more frequent among patients with cancer and COVID-19. Male sex, increasing age, living in zip codes with median household income <$30 000, history of pulmonary circulation disorders, and recent treatment with immune checkpoint inhibitors or chemotherapy were associated with greater odds of all-cause mortality in multivariable logistic regression models. CONCLUSION: RWD can be rapidly leveraged to understand urgent healthcare challenges. Patients with cancer are more vulnerable to COVID-19 effects, especially in the setting of active cancer and comorbidities, with additional risk observed in NHB patients and those living in zip codes with median household income <$30 000.