Population-Level Disparities in Exposure to COVID-19 Mitigation Policies, April 2020-April 2021.

CONTEXT: Studies have found that COVID-19 stay-at-home orders (SHOs) and face mask policies (FMPs) were associated with reduced COVID-19 transmission and deaths. But it is unknown whether exposure to these policies varied by sociodemographic characteristics across the US population. OBJECTIVE: The goal of this study was to quantify and characterize the sociodemographic characteristics and geographic distribution of populations exposed to evidence-based COVID-19 mitigation policies. DESIGN: We obtained statewide SHOs and FMPs for all US counties from April 10, 2020, to April 10, 2021, calculated median policy lengths, and categorized counties into 4 groups based on length of policy exposure: low SHO-low FMP, high SHO-low FMP, low SHO-high FMP, and high SHO-high FMP. We described exposure groups by COVID-19 cumulative case/death and vaccination rates and county sociodemographic characteristics. SETTING: In total, 3142 counties from all 50 states and Washington, District of Columbia, were included in the analysis. MAIN OUTCOME MEASURES: County-level sociodemographic factors and county cumulative rates for COVID-19 cases, deaths, and vaccinations. RESULTS: The largest percentage of the US population lived in counties with high exposure to SHOs and FMPs. However, populations living in high SHO-high FMP counties had the lowest percent non-Hispanic Black (NHB) and highest percent non-Hispanic White (NHW) populations. Populations living in high SHO-low FMP counties had the highest percent NHB and Hispanic populations and the lowest percent NHW population. CONCLUSION: This study identified county-level racial, ethnic, and sociodemographic disparities in exposure to evidence-based statewide COVID-19 mitigation policies. POLICY IMPLICATIONS: Exposure to evidence-based policies is an important consideration for studies evaluating the root causes of health inequities.

Interpersonal Primary Care Continuity for Chronic Conditions Is Associated with Fewer Hospitalizations and Emergency Department Visits Among Medicaid Enrollees.

BACKGROUND: Interpersonal primary care continuity or chronic condition continuity (CCC) is associated with improved health outcomes. Ambulatory care-sensitive conditions (ACSC) are best managed in a primary care setting, and chronic ACSC (CACSC) require management over time. However, current measures do not measure continuity for specific conditions or the impact of continuity for chronic conditions on health outcomes. The purpose of this study was to design a novel measure of CCC for CACSC in primary care and determine its association with health care utilization. METHODS: We conducted a cross-sectional analysis of continuously enrolled, nondual eligible adult Medicaid enrollees with a diagnosis of a CACSC using 2009 Medicaid Analytic eXtract files from 26 states. We conducted adjusted and unadjusted logistic regression models of the relationship between patient continuity status and emergency department (ED) visits and hospitalizations. Models were adjusted for age, sex, race/ethnicity, comorbidity, and rurality. We defined CCC for CACSC as at least 2 outpatient visits with any primary care physician for a CACSC in the year, and (2) more than 50% of outpatient CACSC visits with a single PCP. RESULTS: There were 2,674,587 enrollees with CACSC and 36.3% had CCC for CACSC visits. In fully adjusted models, enrollees with CCC were 28% less likely to have ED visits compared with those without CCC (aOR = 0.71, 95% CI = 0.71 - 0.72) and were 67% less likely to have hospitalization than those without CCC (aOR = 0.33, 95% CI = 0.32-0.33). CONCLUSIONS: CCC for CACSCs was associated with fewer ED visits and hospitalizations in a nationally representative sample of Medicaid enrollees.

Neighborhood characteristics and arterial stiffness among Black adults - Results from the Jackson Heart Study and Morehouse-Emory Cardiovascular Center for Health Equity.

INTRODUCTION: Poor quality neighborhood environments are independent risk factors for cardiovascular disease (CVD) but are understudied in Black adults, who face large CVD health disparities. Arterial stiffness, a marker of early vascular aging, precedes development of hypertension and adverse CVD events but the effect of neighborhood on arterial stiffness among Black adults remains unknown. OBJECTIVE: We compared the association between neighborhood environment and arterial stiffness among Black adults in Jackson, MS and Atlanta, GA. METHODS: We studied 1582 Black adults (mean age 53 ± 10, 35% male) living in Jackson, MS from the Jackson Heart Study (JHS) and 451 Black adults (mean age 53 ± 10, 39% male) living in Atlanta, GA from the Morehouse-Emory Cardiovascular Center for Health Equity (MECA) study, without known CVD. Neighborhood problems (includes measures of aesthetic quality, walking environment, food access), social cohesion (includes activity with neighbors), and violence/safety were assessed using validated questionnaires. Arterial stiffness was measured as pulse wave velocity (PWV) using magnetic resonance imaging in JHS and as PWV and augmentation index (AIx) using applanation tonometry (SphygmoCor, Inc.) in MECA. Multivariable linear regression models were used to examine the association between neighborhood characteristics and arterial stiffness, adjusting for potential confounders. RESULTS: Improved social characteristics, measured as social cohesion in JHS (ß = -0.32 [-0.63, -0.02], p = 0.04) and activity with neighbors (ß = -0.23 [-0.40, -0.05], p = 0.01) in MECA, were associated with lower PWV in both cohorts and lower AIx (ß = -1.74 [-2.92, - 0.56], p = 0.004) in MECA, after adjustment for CVD risk factors and income. Additionally, in MECA, better food access (ß = -1.18 [-2.35, - 0.01], p = 0.05) was associated with lower AIx and, in JHS, lower neighborhood problems (ß = -0.33 [-0.64, - 0.02], p = 0.04) and lower violence (ß = -0.30 [-0.61, 0.002], p = 0.05) were associated with lower PWV. CONCLUSION: Neighborhood social characteristics show an independent association with the vascular health of Black adults, findings that were reproducible in two distinct American cities.

Measuring State-Level Racial Inequity in Severe Maternal Morbidity in the Medicaid Population.

OBJECTIVE: Severe maternal morbidity represents a "near miss" mortality and is an important measure of quality and safety. Racial inequity in maternal morbidity is stark and the reasons for this disparity are poorly understood. We aimed to identify states achieving racial equity in maternal morbidity in order to identify policies that may promote racial equity. METHODS: We analyzed Medicaid deliveries from 2008 to 2009 in a sample that included 28 states and the District of Columbia. This dataset included approximately 80% of all Medicaid enrollees and 90% of minority Medicaid enrollees in the US. We determined the Non-Hispanic Black/Non-Hispanic white SMMI rate ratio for each state and categorized the states into groups by rate ratio. We described demographic features of both the general population and study population for these groups of states. RESULTS: In a sample that included a total of 1,489,134 births, we found that no state/district is achieving equity in severe maternal morbidity. The severe maternal morbidity rate is higher for Non-Hispanic Black than Non-Hispanic white patients in every state included. With a rate ratio ranging from 1.14 to 2.66, there are varying degrees of inequity. States in the group with the most equitable maternal morbidity rates had less inequity across racial subgroups with respect to educational attainment and poverty. CONCLUSIONS: Identifying geographic areas with varying degrees of inequity may be key to identifying policies to promote equity. Socioecological disparities and inadequate access to care may be factors in racial inequity in maternal morbidity.

Neighborhood characteristics and ideal cardiovascular health among Black adults: results from the Morehouse-Emory Cardiovascular (MECA) Center for Health Equity.

PURPOSE: Neighborhood environment is increasingly recognized as an important determinant of cardiovascular health (CVH) among Black adults. Most research to date has focused on negative aspects of the neighborhood environment, with little attention being paid to the specific positive features, in particular the social environment, that promote cardiovascular resilience among Black adults.We examined whether better neighborhood physical and social characteristics are associated with ideal CVH among Black adults, as measured by Life's Simple 7 (LS7) scores. METHODS: We recruited 392 Black adults (age 53 ± 10 years, 39% men) without known CV disease living in Atlanta, GA. Seven neighborhood domains were assessed via questionnaire: asthetic quality, walking environment, safety, food access, social cohesion, activity with neighbors, and violence. CVH was determined by LS7 scores calculated from measured blood pressure; glucose; cholesterol; body mass index (BMI); and self-reported exercise, diet, and smoking, and categorized into poor (0-8), intermediate (9-10), and ideal (11-14). Multinomial logistic regression was used to examine the association between neighborhood characteristics and the odds of intermediate/ideal CVH categories compared with poor CVH after adjustment for age, gender, household income, education, marital status, and employment status. RESULTS: Better scores in the neighborhood domains of social cohesion and activity with neighbors were significantly associated with higher adjusted odds of ideal LS7 scores (OR 2.02, 95% CI [1.36-3.01] and 1.71 [1.20-2.45] per 1 standard deviation [SD] increase in respective scores). These associations were stronger for both social cohesion (OR 2.61, 95% CI [1.48-4.61] vs. 1.40 [0.82-2.40]) and activity with neighbors (OR 1.82, 95% CI [1.15-2.86] vs. 1.53 [0.84-2.78]) in Black women than men. Specifically, better scores in social cohesion were associated with higher odds of ideal CVH in exercise (OR 1.73 [1.16-2.59]), diet (OR 1.90 [1.11-3.26]), and BMI (OR 1.52 [1.09-2.09]); better scores in activity with neighbors were also similarly associated with higher odds of ideal CVH in exercise (OR 1.48 [1.00-2.19]), diet (OR 2.15 [1.23-3.77]), and BMI (OR 1.45 [1.07-1.98]; per 1 SD in respective scores). CONCLUSIONS: More desirable neighborhood characteristics, particularly social cohesion and activity with neighbors, were associated with better CVH among Black adults.

Racial and ethnic disparities in H1N1 vaccine uptake in Medicaid: Lessons learned for a COVID-19 vaccine rollout.

BACKGROUND: Racial and ethnic minorities in the US have been disproportionately affected by the COVID-19 pandemic and are at risk for disparities in COVID-19 vaccinations. The H1N1 flu vaccine experience provides lessons learned to address and prevent racial and ethnic disparities in COVID-19 vaccinations. We aim to identify racial/ethnic and geographic disparities in H1N1 vaccinations among Medicaid enrollees to inform equitable COVID-19 vaccination policies and strategies. METHODS: The study population included people under 65 who were continuously enrolled in Medicaid in 2009 and 2010 from 28 states and the District of Columbia. H1N1 vaccinations were identified from Medicaid outpatient claims. Vaccination rates were calculated for the overall sample and subpopulations by race/ethnicity and state. RESULTS: 3,708,894 (12.3%) Medicaid enrollees in the sample were vaccinated for H1N1 in 2009-2010. Race-specific vaccination rates ranged from 8.1% in American Indian/Alaska Native (AI/AN) to 19.8% in Asian/Pacific Islander Medicaid enrollees. NHB enrollees had lower vaccination rates than non-Hispanic White (NHW) enrollees in all states, with the exceptions of Maryland, Missouri, Ohio, and Washington. The largest disparity between NHB and NHW was in Pennsylvania (1.0% vs. 7.0%), while the largest absolute difference between NHB and NHW enrollees was in Georgia (17.4% vs. 30.7%). CONCLUSIONS: Our study found huge variation in H1N1 vaccinations across states and racial/ethnic disparities in H1N1 vaccinations within states. In most states, NHB and AI/AN Medicaid enrollees had lower vaccination rates than Whites. Hispanic and Asian/Pacific Islander Medicaid enrollees in most states had higher vaccination rates than Whites.

Association Between Early Trauma and Ideal Cardiovascular Health Among Black Americans: Results From the Morehouse-Emory Cardiovascular (MECA) Center for Health Equity.

BACKGROUND: Early trauma (general, emotional, physical, and sexual abuse before age 18 years) has been associated with both cardiovascular disease risk and lifestyle-related risk factors for cardiovascular disease, including smoking, obesity, and physical inactivity. Despite higher prevalence, the association between early trauma and cardiovascular health (CVH) has been understudied in Black Americans, especially those from low-income backgrounds, who may be doubly vulnerable. Therefore, we investigated the association between early trauma and CVH, particularly among low-income Black Americans. METHODS: We recruited 457 Black adults (age 53±10, 38% male) without known cardiovascular disease from the Atlanta, GA, metropolitan area using personalized, community-based recruitment methods. The Early Trauma Inventory was administered to assess overall early traumatic life experiences which include physical, sexual, emotional abuse, and general trauma. Our primary outcome was the American Heart Association Life's Simple 7, which is a set of 7 CVH metrics, including 4 lifestyle-related factors (smoking, body mass index, physical activity, and diet) and three physiologically measured health factors (blood pressure, total blood cholesterol, and blood glucose). We used linear regression models adjusting for age, sex, socioeconomic status, and depression to test the association between early trauma and CVH and tested the early trauma by household income (<$50 000) interaction. RESULTS: Higher levels of early trauma were associated with lower Life's Simple 7 scores (ß, -0.05 [95% CI, -0.09 to -0.01], P=0.02, per 1 unit increase in the Early Trauma Inventory score) among lower, but not higher, income Black participants (P value for interaction=0.04). Subtypes of early trauma linked to Life's Simple 7 were general trauma, emotional abuse, and sexual abuse. Exploratory analyses demonstrated that early trauma was only associated with the body mass index and smoking components of Life's Simple 7. CONCLUSIONS: Early trauma, including general trauma, emotional abuse, and sexual abuse, may be associated with worse CVH among low-, but not higher-income Black adults.

Food Access and Cardiovascular Outcomes in Metropolitan Atlanta Census Tracts With Residents at Low Risk and High Risk of Cardiovascular Disease: The Morehouse-Emory Cardiovascular Center for Health Equity Study.

INTRODUCTION: Perceived and actual access to healthy foods may differ in urban areas, particularly among Black people. We assessed the effect of objective and perceived neighborhood food access on self-reported cardiovascular disease (CVD) among Black people living in areas of high risk and low risk for the disease in Atlanta, Georgia. We hypothesized that perceived and objective food access would independently predict self-reported CVD. METHODS: We used survey data from the Morehouse-Emory Cardiovascular (MECA) Center for Health Equity Study. Study participants consisted of 1,402 Black adults, aged 35 to 64, residing in urban Atlanta census tracts with high rates or low rates of CVD. We assessed perceived neighborhood healthy food access by self-reported selection and quality of produce and low-fat food options. We assessed objective food access by the 2015 US Department of Agriculture Food Access Research Atlas. Low access was defined as census tracts with at least 500 people living more than 1 mile from a large food retailer. Self-reported CVD included related conditions and/or procedures. We used multilevel logistic models adjusted for demographic characteristics to examine the association between objective and perceived food access and self-reported CVD. RESULTS: Overall, self-reported CVD was not significant for perceived (odds ratio = 0.87; 95% CI, 0.59-1.29) or objective (odds ratio = 0.74; 95% CI, 0.48-1.12) healthy food access. Similar results were obtained among adults living in areas with higher-than-expected rates of CVD. CONCLUSION: Results of this study suggest the odds for self-reported CVD events were not significantly affected by perceived or objective access to healthy foods.

Variation in Reporting of the Race and Ethnicity of COVID-19 Cases and Deaths Across US States: April 12, 2020, and November 9, 2020.

Despite growing evidence that COVID-19 is disproportionately affecting communities of color, state-reported racial/ethnic data are insufficient to measure the true impact.We found that between April 12, 2020, and November 9, 2020, the number of US states reporting COVID-19 confirmed cases by race and ethnicity increased from 25 to 50 and 15 to 46, respectively. However, the percentage of confirmed cases reported with missing race remained high at both time points (29% on April 12; 23% on November 9). Our analysis demonstrates improvements in reporting race/ethnicity related to COVID-19 cases and deaths and highlights significant problems with the quality and contextualization of the data being reported.We discuss challenges for improving race/ethnicity data collection and reporting, along with opportunities to advance health equity through more robust data collection and contextualization. To mitigate the impact of COVID-19 on racial/ethnic minorities, accurate and high-quality demographic data are needed and should be analyzed in the context of the social and political determinants of health.

Population-Level Disparities in COVID-19: Measuring the Independent Association of the Proportion of Black Population on COVID-19 Cases and Deaths in US Counties.

CONTEXT: There is a need to understand population race and ethnicity disparities in the context of sociodemographic risk factors in the US experience of the COVID-19 pandemic. OBJECTIVE: Determine the association between county-level proportion of non-Hispanic Black (NHB) on county COVID-19 case and death rates and observe how this association was influenced by county sociodemographic and health care infrastructure characteristics. DESIGN AND SETTING: This was an ecologic analysis of US counties as of September 20, 2020, that employed stepwise construction of linear and negative binomial regression models. The primary independent variable was the proportion of NHB population in the county. Covariates included county demographic composition, proportion uninsured, proportion living in crowded households, proportion living in poverty, population density, state testing rate, Primary Care Health Professional Shortage Area status, and hospital beds per 1000 population. MAIN OUTCOME MEASURES: Outcomes were exponentiated COVID-19 cases per 100 000 population and COVID-19 deaths per 100 000 population. We produced county-level maps of the measures of interest. RESULTS: In total, 3044 of 3142 US counties were included. Bivariate relationships between the proportion of NHB in a county and county COVID-19 case (Exp ß = 1.026; 95% confidence interval [CI], 1.024-1.028; P < .001) and death rates (rate ratio [RR] = 1.032; 95% CI, 1.029-1.035; P < .001) were not attenuated in fully adjusted models. The adjusted association between the proportion of NHB population in a county and county COVID-19 case was Exp ß = 1.025 (95% CI, 1.023-1.027; P < .001) and the association with county death rates was RR = 1.034 (95% CI, 1.031-1.038; P < .001). CONCLUSIONS: The proportion of NHB people in a county was positively associated with county COVID-19 case and death rates and did not change in models that accounted for other socioecologic and health care infrastructure characteristics that have been hypothesized to account for the disproportionate impact of COVID-19 on racial and ethnic minority populations. Results can inform efforts to mitigate the impact of structural racism of COVID-19.

Percentage of Black Population and Primary Care Shortage Areas Associated with Higher COVID-19 Case and Death Rates in Georgia Counties.

OBJECTIVES: We hypothesized that the proportion of Black individuals in a county would be associated with higher rates of coronavirus disease 2019 (COVID-19) cases and deaths, even after accounting for other high-risk socioecologic factors such as poverty, population density, and household crowding, and uninsured rates. We also expected that counties designated as primary care health professional shortage areas (PCHPSAs) would be associated with higher COVID-19 death rates, and the lack of primary care access would exacerbate racial disparities in death rates. We undertook this study to test these hypotheses and discern the independent effects of racial composition, socioecologic characteristics, and healthcare system factors on COVID-19 cases and deaths in Georgia counties. METHODS: We used county-level COVID-19 cases and deaths on April 23, 2020 from the Johns Hopkins Coronavirus Resource Center and estimates of 2019 county-level populations from the US Census Bureau to calculate the cumulative event rates for the state of Georgia. We used multiple regression models to examine crude and adjusted associations of socioecologic and health system variables with county-level COVID-19 case and mortality rates. RESULTS: After adjustment, a 1% increase in the proportion of Black people in the county resulted in a 2.3% increase in the county COVID-19 confirmed case rate and a 3.0% increase in the death rate (relative risk 1.03, 95% confidence interval 1.01-1.05, P < 0.001). Primary care shortage areas had a 74% higher death rate (relative risk 1.74, 95% confidence interval 1.00-3.00, P = 0.049). CONCLUSIONS: These results highlight the impact of racial disparities on the spatial patterns of COVID-19 disease burden in Georgia, which can guide interventions to mitigate racial disparities. The results also support the need for robust primary care infrastructure throughout the state.

Individual Psychosocial Resilience, Neighborhood Context, and Cardiovascular Health in Black Adults: A Multilevel Investigation From the Morehouse-Emory Cardiovascular Center for Health Equity Study.

BACKGROUND: Despite well-documented cardiovascular disparities between racial groups, within-race determinants of cardiovascular health among Black adults remain understudied. Factors promoting cardiovascular resilience among Black adults in particular warrant further investigation. Our objective was to examine whether individual psychosocial resilience and neighborhood-level cardiovascular resilience were associated with better cardiovascular health in Black adults, measured utilizing Life's Simple 7 (LS7) scores. METHODS: We assessed LS7 scores in 389 Black adults (mean age, 53±10 years; 39% men) living in Atlanta, Georgia. A composite score of individual psychosocial resilience was created by assessing environmental mastery, purpose in life, optimism, resilient coping, and depressive symptoms. Neighborhood-level cardiovascular resilience was separately determined by the census tract-level rates of cardiovascular mortality/morbidity events. Generalized linear mixed regression models were used to examine the association between individual psychosocial resilience, neighborhood cardiovascular resilience, and LS7 scores. RESULTS: Higher individual psychosocial resilience was significantly associated with higher LS7 (ß=0.38 [0.16-0.59] per 1 SD) after adjustment for sociodemographic factors. Similarly, higher neighborhood-level cardiovascular resilience was significantly associated with higher LS7 (ß=0.23 [0.02-0.45] per 1 SD). When jointly examined, high individual psychosocial resilience (>median) was independently associated with higher LS7 (ß=0.73 [0.31-1.17]), whereas living in high-resilience neighborhoods (>median) was not. The largest difference in LS7 score was between those with high and low psychosocial resilience living in low-resilience neighborhoods (8.38 [7.90-8.86] versus 7.42 [7.04-7.79]). CONCLUSIONS: Individual psychosocial resilience in Black adults is associated with better cardiovascular health.

Primary Care Comprehensiveness and Care Coordination in Robust Specialist Networks Results in Lower Emergency Department Utilization: A Network Analysis of Medicaid Physician Networks.

Background: Care coordination is an essential and difficult to measure function of primary care. Objective: Our objective was to assess the impact of network characteristics in primary/specialty physician networks on emergency department (ED) visits for patients with chronic ambulatory care sensitive conditions (ACSCs). Subjects and Measures: This cross-sectional social network analysis of primary care and specialty physicians caring for adult Medicaid beneficiaries with ACSCs was conducted using 2009 Texas Medicaid Analytic eXtract (MAX) files. Network characteristic measures were the main exposure variables. A negative binomial regression model analyzed the impact of network characteristics on the ED visits per patient in the panel. Results: There were 42 493 ACSC patients assigned to 5687 primary care physicians (PCPs) connected to 11 660 specialist physicians. PCPs whose continuity patients did not visit a specialist had 86% fewer ED visits per patient in their panel, compared with PCPs whose patients saw specialists. Among PCPs connected to specialists in the network, those with a higher number of specialist collaborators and those with a high degree of centrality had lower patient panel ED rates. Conclusions: PCPs providing comprehensive care (ie, without specialist consultation) for their patients with chronic ACSCs had lower ED utilization rates than those coordinating care with specialists. PCPs with robust specialty networks and a high degree of centrality in the network also had lower ED utilization. The right fit between comprehensiveness of primary care, care coordination, and adequate capacity of specialty availability in physician networks is needed to drive outcomes.

Cardiovascular Risk and Resilience Among Black Adults: Rationale and Design of the MECA Study.

Background Cardiovascular disease incidence, prevalence, morbidity, and mortality have declined in the past several decades; however, disparities persist among subsets of the population. Notably, blacks have not experienced the same improvements on the whole as whites. Furthermore, frequent reports of relatively poorer health statistics among the black population have led to a broad assumption that black race reliably predicts relatively poorer health outcomes. However, substantial intraethnic and intraracial heterogeneity exists; moreover, individuals with similar risk factors and environmental exposures are often known to experience vastly different cardiovascular health outcomes. Thus, some individuals have good outcomes even in the presence of cardiovascular risk factors, a concept known as resilience. Methods and Results The MECA (Morehouse-Emory Center for Health Equity) Study was designed to investigate the multilevel exposures that contribute to "resilience" in the face of risk for poor cardiovascular health among blacks in the greater Atlanta, GA, metropolitan area. We used census tract data to determine "at-risk" and "resilient" neighborhoods with high or low prevalence of cardiovascular morbidity and mortality, based on cardiovascular death, hospitalization, and emergency department visits for blacks. More than 1400 individuals from these census tracts assented to demographic, health, and psychosocial questionnaires administered through telephone surveys. Afterwards, ≈500 individuals were recruited to enroll in a clinical study, where risk biomarkers, such as oxidative stress, and inflammatory markers, endothelial progenitor cells, metabolomic and microRNA profiles, and subclinical vascular dysfunction were measured. In addition, comprehensive behavioral questionnaires were collected and ideal cardiovascular health metrics were assessed using the American Heart Association's Life Simple 7 measure. Last, 150 individuals with low Life Simple 7 were recruited and randomized to a behavioral mobile health (eHealth) plus health coach or eHealth only intervention and followed up for improvement. Conclusions The MECA Study is investigating socioenvironmental and individual behavioral measures that promote resilience to cardiovascular disease in blacks by assessing biological, functional, and molecular mechanisms. REGISTRATION URL: https://www.clini​caltr​ials.gov. Unique identifier: NCT03308812.

Racial and Ethnic Disparities in Treatment and Treatment Type for Depression in a National Sample of Medicaid Recipients.

OBJECTIVE: The purpose of this secondary data analysis was to describe racial-ethnic disparities in receipt of depression treatment and treatment modality among adult Medicaid beneficiaries with depression from a nationally representative sample-28 states and the District of Columbia-of Medicaid beneficiaries (N=599,421). METHODS: Medicaid claims data were extracted from the full 2008-2009 Medicaid Analytic Extract file. The primary outcome was type of depression treatment: medication only, therapy only, medication and therapy, and no treatment. The secondary outcome was treatment for depression (yes-no). Crude and adjusted odds ratios (AORs) were generated for univariate and multivariate models, respectively, and 95% confidence intervals of odds ratios and p values were calculated. RESULTS: There were 599,421 individuals in the sample. Rates of depression treatment were lower for African Americans and Hispanics, compared with Caucasians. Percentages receiving no treatment were 19.9% of African Americans, 15.2% of Hispanics, and 11.9% of Caucasians. After full adjustment, African Americans were about half as likely as Caucasians to receive treatment (AOR=0.52), Hispanics were about a third as likely (AOR=0.71), and those from other racial-ethnic groups were about a fifth as likely (AOR=0.84). Caucasians were more likely than any other group to receive medication only. CONCLUSIONS: This study contributes to evidence about the intersection of social factors and health outcomes and discusses health care engagement, stigma, and policy drivers of racial-ethnic disparities. The study is the first to identify disparities in rates and types of depression treatment among racial-ethnic subgroups of Medicaid beneficiaries in a nationally representative sample.

Individual Characteristics of Resilience are Associated With Lower-Than-Expected Neighborhood Rates of Cardiovascular Disease in Blacks: Results From the Morehouse-Emory Cardiovascular (MECA) Center for Health Equity Study.

Background Factors promoting cardiovascular health in the face of high risk, ie, resilience, are unknown and may identify novel areas of intervention for reducing racial health disparities. We examined neighborhood perceptions and psychological attributes of blacks living in high and low cardiovascular-risk neighborhoods, as potential characteristics of resilience promoting cardiovascular health. Methods and Results We identified 1433 blacks residing in census tracts of Atlanta, GA , with higher-than-expected ("high" risk) or lower-than-expected ("low" risk) rates of cardiovascular mortality, hospitalizations, and emergency department visits during 2010-2014. Domains of psychosocial well-being and neighborhood quality were assessed via telephone survey between August 2016 and October 2016. Using multilevel logistic regression, odds of reporting better resilient characteristics were compared between individuals living in low- versus high-risk neighborhoods. Those from low-risk (versus high-risk) neighborhoods reported better neighborhood aesthetic quality (odds ratio [ OR ], 1.84), healthy food access ( OR , 1.69), and absence of violence ( OR , 0.67). Individuals from low-risk neighborhoods reported greater optimism ( OR , 1.38), purpose in life ( OR , 1.42), and fewer depressive symptoms ( OR , 0.69). After full adjustment, these associations remained significant for neighborhood factors (aesthetic quality, healthy food access, violence) and psychosocial well-being (purpose in life). We found no evidence of differences in self-reported cardiovascular risk factors or disease history between low- versus high-risk neighborhoods. Conclusions Positive neighborhood environments and psychological characteristics are associated with low cardiovascular-risk neighborhoods, despite similar prevalence of cardiovascular risk factors, in the census tracts studied. These factors may confer cardiovascular resilience among blacks.

Identifying County-Level All-Cause Mortality Rate Trajectories and Their Spatial Distribution Across the United States.

INTRODUCTION: All-cause mortality in the United States declined from 1935 through 2014, with a recent uptick in 2015. This national trend is composed of disparate local trends. We identified distinct groups of all-cause mortality rate trajectories by grouping US counties with similar temporal trajectories. METHODS: We used all-cause mortality rates in all US counties for 1999 through 2016 and estimated discrete mixture models by using county level mortality rates. Proc Traj in SAS was used to detect how county trajectories clustered into groups on the basis of similar intercepts, slopes, and higher order terms. Models with increasing numbers of groups were assessed on the basis of model fit. We created county-level maps of mortality trajectory groups by using ArcGIS. RESULTS: Eight unique trajectory groups were detected among 3,091 counties. The average mortality rate in the most favorable trajectory group declined 29.4%, from 592.3 deaths per 100,000 in 1999 to 418.2 in 2016. The least favorable mortality trajectory group declined 3.4% over the period, from 1,280.3 deaths per 100,000 to 1,236.9. We saw significant differences in the demographic and socioeconomic profiles and geographic patterns across the trajectory categories, with favorable mortality trajectories in the Northeast, Midwest, and on the West Coast and unfavorable trajectories concentrated in the Southeast. CONCLUSIONS: County-level disparities in all-cause mortality rates widened over the past 18 years. Further investigation of the determinants of the trajectory groupings and the geographic outliers identified by our research could inform interventions to achieve equitable distribution of county mortality rates.

Identification of Resilient and At-Risk Neighborhoods for Cardiovascular Disease Among Black Residents: the Morehouse-Emory Cardiovascular (MECA) Center for Health Equity Study.

INTRODUCTION: Despite the growing interest in place as a determinant of health, areas that promote rather than reduce cardiovascular disease (CVD) in blacks are understudied. We performed an ecologic analysis to identify areas with high levels of CVD resilience and risk among blacks from a large southern, US metropolitan area. METHODS: We obtained census tract-level rates of cardiovascular deaths, emergency department (ED) visits, and hospitalizations for black adults aged 35 to 64 from 2010 through 2014 for the Atlanta, Georgia, metropolitan area. Census tracts with substantially lower rates of cardiovascular events on the basis of neighborhood socioeconomic status were identified as resilient and those with higher rates were identified as at risk. Logistic regression was used to estimate the odds ratios (OR) and 95% confidence intervals (CIs) of being classified as an at-risk versus resilient tract for differences in census-derived measures. RESULTS: We identified 106 resilient and 121 at-risk census tracts, which differed in the rates per 5,000 person years of cardiovascular outcomes (mortality, 8.13 vs 13.81; ED visits, 32.25 vs 146.3; hospitalizations, 26.69 vs 130.0), despite similarities in their median black income ($46,123 vs $45,306). Tracts with a higher percentage of residents aged 65 or older (odds ratio [OR], 2.29; 95% CI, 1.41-3.85 per 5% increment) and those with incomes less than 200% of the federal poverty level (OR, 1.19; 95% CI, 1.02-1.39 per 5% increment) and greater Gini index (OR, 1.56; 95% CI, 1.19- 2.07 per 0.05 increment) were more likely to be classified as at risk than resilient neighborhoods. DISCUSSION: Despite matching on median income level, at-risk neighborhoods for CVD among black populations were associated with a higher prevalence of socioeconomic indicators of inequality than resilient neighborhoods.

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.

Neighborhood Environmental Health and Premature Death From Cardiovascular Disease.

INTRODUCTION: Cardiovascular disease (CVD) is the leading cause of death in the United States and disproportionately affects racial/ethnic minority groups. Healthy neighborhood conditions are associated with increased uptake of health behaviors that reduce CVD risk, but minority neighborhoods often have poor food access and poor walkability. This study tested the community-driven hypothesis that poor access to food at the neighborhood level and poor neighborhood walkability are associated with racial disparities in premature deaths from CVD. METHODS: We examined the relationship between neighborhood-level food access and walkability on premature CVD mortality rates at the census tract level for the city of Atlanta using multivariable logistic regression models. We produced maps to illustrate premature CVD mortality, food access, and walkability by census tract for the city. RESULTS: We found significant racial differences in premature CVD mortality rates and geographic disparities in food access and walkability among census tracts in Atlanta. Improved food access and walkability were associated with reduced overall premature CVD mortality in unadjusted models, but this association did not persist in models adjusted for census tract population composition and poverty. Census tracts with high concentrations of minority populations had higher levels of poor food access, poor walkability, and premature CVD mortality. CONCLUSION: This study highlights disparities in premature CVD mortality and neighborhood food access and walkability at the census tract level in the city of Atlanta. Improving food access may have differential effects for subpopulations living in the same area. These results can be used to calibrate neighborhood-level interventions, and they highlight the need to examine race-specific health outcomes.