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.

Physical Activity Surveillance in the United States for Work and Commuting: Understanding the Impact on Population Health and Well-being.

OBJECTIVE: To summarize and describe the current US surveillance systems that assess physical activity (PA) for work and commuting. METHODS: An expert group conducted an environmental scan, generating a list (n = 18) which was ultimately reduced to 12, based on the inclusion of PA and/or sedentary behavior data. RESULTS: The 12 surveys or surveillance systems summarized provide nationally representative data on occupational-level PA or individual-level PA at work, data on active commuting, some are scorecards that summarize workplace health best practices and allow benchmarking, and one is a comprehensive nationally representative survey of employers assessing programs and practices in different worksites. CONCLUSIONS: The various surveillance systems and surveys/scorecards are disparate and need to be better analyzed and summarized to understand the impact of occupational-level PA and commuting on population health and well-being, life expectancy, and workforce productivity.

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.

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.

Leveraging Science to Advance Health Equity: A Regional Health Policy Research Center's Approach.

Advancing health equity and reducing disparities through evidence-based policy research requires the expertise, insights, and active participation of various policy stakeholders - particularly those representing vulnerable populations who may be disproportionately affected by such policies. Unfortunately, there are few sustainable settings for these diverse stakeholders to convene, share their knowledge, develop and execute research in a collaborative fashion, and effectively translate evidence-based findings. The development of a health policy-focused center supports the collaborative structure needed to present a unified, multi-disciplinary approach toward informing health policy. The Transdisciplinary Collaborative Center for Health Disparities Research (TCC) at Morehouse School of Medicine (U54MD008173) was funded in 2012 by the National Institute on Minority Health and Health Disparities (NIMHD) as an innovative approach for conducting health policy research and disseminating evidence-based science to diverse stakeholders. This article provides an overview of the research projects, pilot project programs, infrastructure cores, communications, and strategic dissemination activities supported by the TCC.

Applying a Health Equity Lens to Evaluate and Inform Policy.

Health disparities have persisted despite decades of efforts to eliminate them at the national, regional, state and local levels. Policies have been a driving force in creating and exacerbating health disparities, but they can also play a major role in eliminating disparities. Research evidence and input from affected community-level stakeholders are critical components of evidence-based health policy that will advance health equity. The Transdisciplinary Collaborative Center (TCC) for Health Disparities Research at Morehouse School of Medicine consists of five subprojects focused on studying and informing health equity policy related to maternal-child health, mental health, health information technology, diabetes, and leadership/workforce development. This article describes a "health equity lens" as defined, operationalized and applied by the TCC to inform health policy development, implementation, and analysis. Prioritizing health equity in laws and organizational policies provides an upstream foundation for ensuring that the laws are implemented at the midstream and downstream levels to advance health equity.

Tx ™: An Approach and Philosophy to Advance Translation to Transformation.

The translational science spectrum consists of phases or types of research, from discoveries that advance our understanding of the biological basis of health and disease to interventions that engage individuals and social systems toward improved population health. The health research system has widely acknowledged flaws that delay (or even deny) the fruits of research findings for the population and for chronically disadvantaged groups. Coined and patented at Morehouse School of Medicine (MSM), Tx ™;symbolizes an approach and scientific philosophy that intentionally promotes and supports the convergence of interdisciplinary approaches and scientists to stimulate exponential advances for the health of diverse communities. While the Tx ™ patent is new, this approach to research translation is embedded within the MSM tapestry with historically aligned research from the Translational Collaborative Center exemplars as well as newly funded scholars. Tx ™ scholarship is characterized by the five tenets and practices that ultimately culminate in the conduct of research with results that broaden the evidence-base through data-driven proof of impact on health equity in underserved or special populations. Tx ™ is a destination that is ever-evolving and responsive to the research, priority populations and partners through translational research and corresponding approaches that transform health, thereby advancing health equity.

A Participatory Evaluation Framework for the Implementation of a Transdisciplinary Center for Health Disparities Research.

This article describes the participatory evaluation framework for the Transdisciplinary Collaborative Center for Health Disparities Research (TCC) funded by the National Institute of Minority Health and Health Disparities. In collaboration with TCC stakeholders, logic models, the McKinlay model, and process and outcome evaluation plans, including quantitative and qualitative methods, have been developed and used to document the impact of the TCC. The McKinlay model, a widely used comprehensive health model for eliminating health disparities, was also tailored to document the outcomes of the TCC. The process and outcome evaluation plans for the TCC guide continuous improvement and the achievement of its specific aims. The evaluation of the TCC occurred between 2012 and 2019 and involved key stakeholders in TCC research and programming. Several challenges exist for implementing an evaluation plan of a health equity-focused policy research center. However, we learned several lessons that will ensure progress toward specific aims and will help the TCC serve as a model for similar programs and centers.

Sociodemographic and Biometric Factors Associated With Eating Behaviors Among African American Women Aged 18-74.

BACKGROUND: Obesity is a growing problem in the United States and is disproportionately increasing among African Americans. The objective of this study is to examine the sociodemographic and biometric factors associated with eating behaviors among African American women. METHODS: We analyzed data from the 2009-2010 dietary screener and weight history questionnaire from the National Health and Nutrition Examination Survey. Multivariable analyses were used to estimate adjusted odds ratios (AORs) and 95% confidence intervals (95% CIs) to determine the association between six specific eating behaviors and different sociodemographic and biometric factors. Analyses were conducted using SAS 9.4. RESULTS: The analyses show that being middle aged (45-64) decreased the likelihood of consuming soft drinks (AOR: 0.48; 95% CI: 0.27-0.86); consuming red meat (AOR: 0.45; 95% CI: 0.25-0.82); and consuming processed meat (AOR: 0.55; 95% CI: 0.31-0.97). In addition, high school grads were over 3 times as likely to consume high amounts of soft drinks (AOR: 3.04; 95% CI: 1.33-6.94) and 65% less likely to consume high amounts of leafy/lettuce salads than college grads (AOR: 0.35; 95% CI: 0.15-0.82). Finally, single/widowed/divorced African American women were 13% less likely to eat high amounts of leafy green salads than married African American women (AOR: 0.82; 95% CI: 0.70-0.97). CONCLUSIONS: The results indicate that some sociodemographic factors have an association with certain eating behaviors. Further exploration of sociodemographic and biometric factors, with the inclusion of culture and its association with eating behaviors will help to expand the literature.

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.

Community Engaged Leadership to Advance Health Equity and Build Healthier Communities.

Health is a human right. Equity in health implies that ideally everyone should have a fair opportunity to attain their full health potential and, more pragmatically, that no one should be disadvantaged from achieving this potential. Addressing the multi-faceted health needs of ethnically and culturally diverse individuals in the United States is a complex issue that requires inventive strategies to reduce risk factors and buttress protective factors to promote greater well-being among individuals, families, and communities. With growing diversity concerning various ethnicities and nationalities; and with significant changes in the constellation of multiple of risk factors that can influence health outcomes, it is imperative that we delineate strategic efforts that encourage better access to primary care, focused community-based programs, multi-disciplinary clinical and translational research methodologies, and health policy advocacy initiatives that may improve individuals' longevity and quality of life.

Implementing organizational physical activity and healthy eating strategies on paid time: process evaluation of the UCLA WORKING pilot study.

Integrating organizationally targeted wellness strategies into the routine conduct of business has shown promise in engaging captive audiences at highest risk of obesity and obesity-related health consequences. This paper presents a process evaluation of the implementation of the University of California, Los Angeles, Working Out Regularly Keeps Individuals Nurtured and Going (WORKING) pilot study. WORKING focuses on integrating physical activity and nutrition practices into workplace routine during non-discretionary paid work time. The purpose of the evaluation was to assess the quality of implementation and to understand factors that facilitated or hindered organizations' full uptake of the intervention. Fifteen worksites were randomly assigned to an intervention condition. Qualitative data were gathered through routine site visits and informant interviews conducted throughout each worksite's intervention period. Worksites were classified into one of four implementation success categories based on their level of adoption and maintenance of core intervention strategies. Six key factors emerged that were related to implementation success: site layout and social climate, wellness infrastructure, number and influence of Program Champions, leadership involvement, site innovation and creativity. This pilot study has informed the conduct of WORKING II; a cluster randomized controlled trial aimed at enrolling 60-70 worksites in Los Angeles County.