A Path Forward: COVID-19 Vaccine Equity Community Education and Outreach Initiative.

COVID-19 vaccines offer hope to end the COVID-19 pandemic. In this article, we document key lessons learned as we continue to confront COVID-19 variants and work to adapt our vaccine outreach strategies to best serve our community. In the fall of 2020, the Office of Diversity, Inclusion and Health Equity at Johns Hopkins Medicine, in collaboration with the Office of Government and Community Affairs for Johns Hopkins University and Medicine, established the COVID-19 Vaccine Equity Community Education and Outreach Initiative in partnership with faith and community leaders, local and state government representatives, and community-based organizations. Working with community and government partnerships established before COVID-19 enabled our team to quickly build infrastructure focused on COVID-19 vaccine education and equity. These partnerships resulted in the development and implementation of web-based educational content, major culturally adapted media campaigns (reaching more than 200,000 individuals), community and faith education outreach, youth-focused initiatives, and equity-focused mobile vaccine clinics. The community mobile vaccine clinics vaccinated over 3,000 people in the first 3 months. Of these, 90% identified as persons of color who have been disproportionately impacted during the COVID-19 pandemic. Academic-government-community partnerships are vital to ensure health equity. Community partnerships, education events, and open dialogues were conducted between the community and medical faculty. Using nontraditional multicultural media venues enabled us to reach many community members and facilitated informed decisionmaking. Additionally, an equitable COVID-19 vaccine policy requires attention to vaccine access as well as access to sound educational information. Our initiative has been thoughtful about using various types of vaccination sites, mobile vaccine units, and flexible hours of operation.

Together in Care: An Enhanced Meals on Wheels Intervention Designed to Reduce Rehospitalizations among Older Adults with Cardiopulmonary Disease-Preliminary Findings.

Rehospitalizations in the Medicare population may be influenced by many diverse social factors, such as, but not limited to, access to food, social isolation, and housing safety. Rehospitalizations result in significant cost in this population, with an expected increase as Medicare enrollment grows. We designed a pilot study based upon a partnership between a hospital and a local Meals on Wheels agency to support patients following an incident hospitalization to assess impact on hospital utilization. Patients from an urban medical center who were 60 years or older, had a prior hospitalization in the past 12 months, and had a diagnosis of diabetes, hypertension, heart failure, and/or chronic obstructive pulmonary disease were recruited. Meals on Wheels provided interventions over 3 months of the patient's transition to home: food delivery, home safety inspection, social engagement, and medical supply allocation. Primary outcome was reduction of hospital expenditure. In regard to the results, 84 participants were included in the pilot cohort, with the majority (54) having COPD. Mean age was 74.9 ± 10.5 years; 33 (39.3%) were female; 62 (73.8%) resided in extreme socioeconomically disadvantaged neighborhoods. Total hospital expenditures while the cohort was enrolled in the transition program were $435,258 ± 113,423, a decrease as compared to $1,445,637 ± 325,433 (p < 0.01) of the cohort's cost during the three months prior to enrollment. In conclusion, the initiative for patients with advanced chronic diseases resulted in a significant reduction of hospitalization expenditures. Further investigations are necessary to define the impact of this intervention on a larger cohort of patients as well as its generalizability across diverse geographic regions.

Approaching the COVID-19 Pandemic Response With a Health Equity Lens: A Framework for Academic Health Systems.

Racially and ethnically diverse and socioeconomically disadvantaged communities have historically been disproportionately affected by disasters and public health emergencies in the United States. The U.S. Department of Health and Human Services' Office of Minority Health established the National Consensus Panel on Emergency Preparedness and Cultural Diversity to provide guidance to agencies and organizations on developing effective strategies to advance emergency preparedness and eliminate disparities among racially and ethnically diverse communities during these crises. Adopting the National Consensus Panel recommendations, the Johns Hopkins Medicine Office of Diversity, Inclusion, and Health Equity; Language Services; and academic-community partnerships used existing health equity resources and expertise to develop an operational framework to support the organization's COVID-19 response and to provide a framework of health equity initiatives for other academic medical centers. This operational framework addressed policies to support health equity patient care and clinical operations, accessible COVID-19 communication, and staff and community support and engagement, which also supported the National Standards for Culturally and Linguistically Appropriate Services in Health and Health Care. Johns Hopkins Medicine identified expanded recommendations for addressing institutional policy making and capacity building, including unconscious bias training for resource allocation teams and staff training in accurate race, ethnicity, and language data collection, that should be considered in future updates to the National Consensus Panel's recommendations.

Comparing Critical Care Admissions Among Urban Populations Before and During the COVID-19 Pandemic.

In the context of the COVID-19 pandemic, reassessing intensive care unit (ICU) use by population should be a priority for hospitals planning for critical care resource allocation. In our study, we reviewed the impact of COVID-19 on a community hospital serving an urban region, comparing the sociodemographic distribution of ICU admissions before and during the pandemic. We executed a time-sensitive analysis to see if COVID-19 ICU admissions reflect the regional sociodemographic populations and ICU admission trends before the pandemic. Sociodemographic variables included sex, race, ethnicity, and age of adult patients (ages 18 years and older) admitted to the hospital's medical and cardiac ICUs, which were converted to COVID-19 ICUs. The time period selected was 18 months, which was then dichotomized into pre-COVID-19 admissions (December 1, 2018 to March 13, 2020) and COVID-19 ICU admissions (March 14 to May 31, 2020). Variables were compared using Fisher's exact tests and Wilcoxon tests when appropriate. During the 18-month period, 1,861 patients were admitted to the aforementioned ICUs. The mean age of the patients was 62.75 (SD 15.57), with the majority of these patients being male (52.23%), White (64.43%), and non-Hispanic/Latinx (95.75%). Differences were found in racial and ethnic distribution comparing pre-COVID-19 admissions to COVID-19 admissions. Compared with pre-COVID-19 ICU admissions, we found an increase in African American versus White admissions (P = .01) and an increase in Hispanic/Latinx versus non-Hispanic/Latinx admissions (P < .01), during the COVID-19 pandemic. During the first 3 months of admissions to COVID-19 ICUs, the number of admissions among Hispanic/Latinx and African American patients increased while the number of admissions among non-Hispanic/Latinx and White patient decreased, compared with the pre-COVID-19 period. These findings support development of strategies to enhance allocation of resources to bolster novel, equitable strategies to mitigate the incidence of COVID-19 in urban populations.

Juntos: A Model for Language Congruent Care to Better Serve Spanish-Speaking Patients with COVID-19.

Coronavirus disease 2019 (COVID-19) exacerbated pre-existing health disparities and disproportionately affected the Latino community. Clinicians identified communication barriers as a major challenge in care for COVID-19 Latino patients with limited English proficiency (LEP). To address these challenges, Juntos (Together) consult service was established to promote language-congruent care with cultural sensitivity, identify barriers to safe discharge, and facilitate referral to appropriate resources. Spanish speaking volunteer health care providers worked synergistically with medical teams caring for LEP Latino patients. Volunteers were trained on consultant responsibilities and discharge planning resources. The program was evaluated by a satisfaction survey distributed to providers who requested a Juntos consult and Juntos volunteers. Between May 5 and July 30, 2020, 19 individuals volunteered time to the Juntos consult service, 12 (63%) Latinos, 14 (74%) physicians, and 5 (26%) staff. The service supported 127 patients, 76 (60%) males, mean age 42 (±16), 83 (65%) uninsured, and 91 (72%) without primary care. The most common referral sources were medical units (52, 41%) and intensive care units (47, 37%). The most common services offered were family engagement (55, 43%), goals of care (35, 28%), and mental status assessment (26, 20%). The majority of providers who consulted Juntos were very satisfied (48/59, 81%) with the care delivered. The Juntos service offered critical support tailored to the patients' and primary teams' needs. The experience reinforced the need for cultural-based communication to provide optimal care to LEP patients. The Juntos consult service could be a model for providing language-congruent care even beyond COVID-19, but to do so will require institutional investment and rigorous outcomes evaluation.

The association of cortisol curve features with incident diabetes among whites and African Americans: The CARDIA study.

INTRODUCTION: A flatter diurnal cortisol curve has been associated with incident diabetes among older white adults. However, this relationship has not been examined among middle-aged individuals or African Americans [AA]. We analyzed the longitudinal association of baseline diurnal cortisol curve features with incident diabetes over a 10 year period in a cohort of AA and white participants who were, on average, 40 years old. METHODS: Salivary cortisol was collected immediately post-awakening, then subsequently 45 min, 2.5 h, 8 h, and 12 h later, as well as at bedtime. Cortisol curve features included wake-up cortisol; cortisol awakening response (CAR); early, late, and overall decline slopes; bedtime cortisol; and 16 -h area under the curve (AUC). Salivary cortisol (nmol/L) was log-transformed due to positively skewed distributions. Diabetes was defined as fasting plasma glucose ≥ 126 mg/dL or taking diabetes medication. Logistic regression models were used to investigate the association of log-transformed cortisol curve features with incident diabetes. The analysis was stratified by race and adjusted for age, sex, education, depressive symptoms, smoking status, beta-blocker and steroid medication use and BMI. RESULTS: Among 376 AA and 333 white participants (mean age 40 years), 67 incident diabetes cases occurred over 10 years. After full adjustment for additional covariates, a 1-unit log increase in CAR was associated with a 53 % lower odds of incident diabetes among whites (Odds Ratio [OR] 0.47, 95 % CI: 0.24, 0.90). A 1-SD increase in late decline slope was associated with a 416 % higher odds of incident diabetes among whites (OR 5.16, 95 % CI: 1.32, 20.20). There were no significant associations in AAs. CONCLUSION: A robust CAR and flatter late decline slope are associated with lower and higher odds of incident diabetes, respectively, among younger to middle-aged whites and may provide a future target for diabetes prevention in this population.

Operational Recommendations for Scarce Resource Allocation in a Public Health Crisis.

The coronavirus disease 2019 pandemic may require rationing of various medical resources if demand exceeds supply. Theoretical frameworks for resource allocation have provided much needed ethical guidance, but hospitals still need to address objective practicalities and legal vetting to operationalize scarce resource allocation schemata. To develop operational scarce resource allocation processes for public health catastrophes, including the coronavirus disease 2019 pandemic, five health systems in Maryland formed a consortium-with diverse expertise and representation-representing more than half of all hospitals in the state. Our efforts built on a prior statewide community engagement process that determined the values and moral reference points of citizens and health-care professionals regarding the allocation of ventilators during a public health catastrophe. Through a partnership of health systems, we developed a scarce resource allocation framework informed by citizens' values and by general expert consensus. Allocation schema for mechanical ventilators, ICU resources, blood components, novel therapeutics, extracorporeal membrane oxygenation, and renal replacement therapies were developed. Creating operational algorithms for each resource posed unique challenges; each resource's varying nature and underlying data on benefit prevented any single algorithm from being universally applicable. The development of scarce resource allocation processes must be iterative, legally vetted, and tested. We offer our processes to assist other regions that may be faced with the challenge of rationing health-care resources during public health catastrophes.

Measuring Structural Racism and Its Association With BMI.

INTRODUCTION: Structural racism has attracted increasing interest as an explanation for racial disparities in health, including differences in adiposity. Structural racism has been measured most often with single-indicator proxies (e.g., housing discrimination), which may leave important aspects of structural racism unaccounted for. This paper develops a multi-indicator scale measuring county structural racism in the U.S. and evaluates its association with BMI. METHODS: County structural racism was estimated with a confirmatory factor model including indicators reflecting education, housing, employment, criminal justice, and health care. Using Behavioral Risk Factor Surveillance Survey data (2011-2012) and a mixed-effects model, individual BMI was regressed on county structural racism, controlling for county characteristics (mean age, percentage black, percentage female, percentage rural, median income, and region). Analysis occurred 2017-2019. RESULTS: The study included 324,572 U.S. adults. A 7-indicator county structural racism model demonstrated acceptable fit. County structural racism was associated with lower BMI. Structural racism and black race exhibited a qualitative interaction with BMI, such that racism was associated with lower BMI in whites and higher BMI in blacks. In a further interaction analysis, county structural racism was associated with larger increases in BMI among black men than black women. County structural racism was associated with reduced BMI for white men and no change for white women. CONCLUSIONS: The results confirm structural racism as a latent construct and demonstrate that structural racism can be measured in U.S. counties using publicly available data with methods offering a strong conceptual underpinning and content validity. Further study is necessary to determine whether addressing structural racism may reduce BMI among blacks.

Trends in Internal Medicine Faculty by Sex and Race/Ethnicity, 1980-2018.

Importance: Increasing diversity in the physician workforce is a fulcrum for reducing health disparities. Efforts to increase the diversity in the internal medicine (IM) workforce may improve health equity among an increasingly diverse population with increasing prevalence of chronic disease. Objectives: To assess diversity trends in the academic IM workforce and evaluate how well these trends reflected medical student diversity and the changing demographic composition of the general population. Design, Setting, and Participants: This secondary analysis of a cross-sectional study analyzed data from January 1, 1980, to December 31, 2018, from the Association of American Medical Colleges Faculty Roster and Applicant Matriculant File, which capture full-time US medical school faculty and matriculants, respectively, and population data through 2017 from the US Census Bureau. Main Outcomes and Measures: The study calculated the proportions of women and individuals from racial/ethnic groups that are traditionally underrepresented in medicine (URM) among IM faculty and faculty in all other clinical departments. These data were compared with the proportions of female and URM matriculants in US medical schools and the proportions of women and individuals from underrepresented racial/ethnic groups in the population. The analysis was stratified by sex, race/ethnicity, and intersections of sex and race/ethnicity. Results: From 1980 to 2018, the absolute number of full-time IM faculty increased from 10 964 to 42 547. Although IM was the department classification with the most women faculty, in 2018 it continued to have a lower proportion of women (n = 17 165 [40.3%]) compared with all other clinical departments (n = 48 936 [43.2%]). Among IM faculty, the percentage of URM faculty members more than doubled during the study period (from 4.1% to 9.7%) but still made up only a small portion of faculty members. The percentage of female matriculants among medical school matriculants increased steadily (from 28.7% in 1980 to 51.6% in 2018) and was nearly identical to their population representation in 2017 (50.7% compared with 50.8%). Although the percentage of URM matriculants had nearly doubled since 1980 (from 11.3% to 18.1%), it still lagged far behind the proportion of individuals in the US population who are members of underrepresented racial/ethnic groups (18.1% vs 31.5% in 2017). Conclusions and Relevance: This cross-sectional study found that progress has been made in diversifying academic IM faculty; however, it does not yet reflect the diversity of medical students or the US population. Continued efforts to increase the diversity of the academic IM workforce are needed.

Disparities in mortality among adults with and without diabetes by sex and race.

OBJECTIVE: The aim of this study was to examine whether the reduction in the mortality gap between individuals with and without diabetes varies by sex and race/ethnicity. METHODS: We analyzed data in adults from the National Health and Nutrition Examination Survey (NHANES) 1999-2010 and their linked mortality data through 2015. Cox proportional hazards models were used to examine the risk of all-cause and cause-specific mortality among participants with diabetes as compared to those without diabetes by sex and race/ethnicity in 1999-2004 and 2005-2010. RESULTS: The risk of all-cause mortality was significantly higher in women with diabetes compared to those without diabetes in both study periods (HR 1.6, 95% CI: 1.2, 2.2; HR 1.5, 95% CI: 1.1, 2.0). Among men, the risk of all-cause mortality was significantly higher in men with compared to men without diabetes in 1999-2004 but not in 2005-2010. There was no significant association between diabetes and CVD mortality among men in 2005-2010, while the association was significant among women in both study periods (HR 2.5, 95% CI: 1.6, 3.7; HR 2.8, 95% CI: 1.3, 5.9). The association between diabetes and all-cause mortality was similar across racial/ethnic groups in 1999-2004, but was significantly higher among non-Hispanic blacks and Mexican Americans in 2005-2010. CONCLUSIONS: Progress in reducing mortality among individuals with diabetes has been more significant among men and non-Hispanic whites. Sex and racial/ethnic disparities in mortality among individuals with diabetes still persist.

Sex differences in the association of psychosocial resources with prevalent type 2 diabetes among African Americans: The Jackson Heart Study.

AIM: To examine the association of psychosocial resources with prevalent type 2 diabetes (T2D) in 5104 African American men and women. METHODS: Using data from the Jackson Heart Study (JHS), we evaluated the cross-sectional associations of four psychosocial resources (social support, optimism, religiosity, and social networks) with T2D [fasting glucose ≥126 mg/dL, or HbA1c ≥ 6.5%, or use of diabetic medication]. Multivariable Poisson regression estimated prevalence ratios (PR, 95% confidence interval-CI) of T2D by each psychosocial measure, adjusting for demographics, SES, waist circumference, health behaviors, and depressive symptoms. RESULTS: Women reported greater religiosity and had more social networks than men (p < 0.001). High (vs. low) social support was associated with a lower prevalence of T2D among men after full adjustment (PR 0.74, 95% CI 0.59-0.91). Women with high (vs. low) social networks had a 16% lower prevalence of T2D (PR 0.84, 95% CI 0.73-0.96) after full adjustment. High (vs. low) optimism was associated with a 20% lower prevalence of T2D after adjustment for age (PR 0.80, 95% CI 0.65-0.98). Religiosity was not associated with T2D. CONCLUSION: Social support and networks should be considered in efforts to prevent T2D among a high-risk group such as African Americans.

Achieving Health Equity: Closing The Gaps In Health Care Disparities, Interventions, And Research.

In the United States, racial/ethnic minority, rural, and low-income populations continue to experience suboptimal access to and quality of health care despite decades of recognition of health disparities and policy mandates to eliminate them. Many health care interventions that were designed to achieve health equity fall short because of gaps in knowledge and translation. We discuss these gaps and highlight innovative interventions that help address them, focusing on cardiovascular disease and cancer. We also provide recommendations for advancing the field of health equity and informing the implementation and evaluation of policies that target health disparities through improved access to care and quality of care.

Difference by sex but not by race/ethnicity in the visceral adipose tissue-depressive symptoms association: the Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: Prior studies have investigated the association of clinical depression and depressive symptoms with body weight (i.e. body mass index (BMI) and waist circumference), but few have examined the association between depressive symptoms and intra-abdominal fat. Of these a limited number assessed the relationship in a multi-racial/ethnic population. METHODS: Using data on 1017 men and women (45-84 years) from the Multi-Ethnic Study of Atherosclerosis (MESA) Body Composition, Inflammation and Cardiovascular Disease Study, we examined the cross-sectional association between elevated depressive symptoms (EDS) and CT-measured visceral fat mass at L2-L5 with multivariable linear regression models. EDS were defined as a Center for Epidemiological Studies Depression score ≥16 and/or anti-depressant use. Covariates included socio-demographics, inflammatory markers, health behaviors, comorbidities, and body mass index (BMI). Race/ethnicity (Whites [referent group], Chinese, Blacks and Hispanics) and sex were also assessed as potential modifiers. RESULTS: The association between depressive symptoms and visceral fat differed significantly by sex (p=0.007), but not by race/ethnicity. Among men, compared to participants without EDS, those with EDS had greater visceral adiposity adjusted for BMI and age (difference=122.5 cm2, 95% CI=34.3, 210.7, p=0.007). Estimates were attenuated but remained significant after further adjustment by socio-demographics, inflammatory markers, health behaviors and co-morbidities (difference=94.7 cm2, 95% CI=10.5, 178.9, p=0.028). Among women, EDS was not significantly related to visceral adiposity in the fully adjusted model. CONCLUSIONS: Sex, but not race/ethnicity, was found to modify the relationship between EDS and visceral fat mass. Among men, a significant positive association was found between depressive symptoms and visceral adiposity. No significant relationship was found among women.

Individual and neighborhood socioeconomic status characteristics and prevalence of metabolic syndrome: the Atherosclerosis Risk in Communities (ARIC) Study.

OBJECTIVE: The objective of this study was to examine the association of individual socioeconomic status (iSES) and neighborhood SES (nSES) on the prevalence of metabolic syndrome (MetS) in the Atherosclerosis Risk in Communities Study (1987-1999). METHODS: Participants included 2932 black and 9777 white men and women aged 45 to 64 years without diabetes at baseline. Total combined family income for the past 12 months and six census tract socioeconomic measures combined into a composite index were used to quantify iSES and nSES, respectively. Poisson regression was used to assess associations of the joint contribution of iSES and nSES on the MetS, stratified by gender and race and adjusting for multiple covariates. For analyses that included nSES, hierarchical modeling techniques were used. RESULTS: Using 2005 Third Report of the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults criteria, MetS was identified in 40% of black women, 30% of white women, 28% of black men, and 35% of white men. Among black and white men, there was no association between MetS and iSES or nSES. In contrast, after adjustment for risk factors, black and white women with low (L)-iSES and medium (M)-iSES were more likely to have MetS than those with high (H)-iSES. Similar but weaker patterns were noted for L-nSES and M-nSES. CONCLUSIONS: In summary, both iSES and nSES were independently associated with an increased prevalence of MetS among women but not men. Efforts aimed at understanding the causes of these gender differences may offer insight into avenues for reducing the prevalence of the MetS and its chronic disease sequelae.