Association of neighborhood-level sociodemographic factors with Direct-to-Consumer (DTC) distribution of COVID-19 rapid antigen tests in 5 US communities.

BACKGROUND: Many interventions for widescale distribution of rapid antigen tests for COVID-19 have utilized online, direct-to-consumer (DTC) ordering systems; however, little is known about the sociodemographic characteristics of home-test users. We aimed to characterize the patterns of online orders for rapid antigen tests and determine geospatial and temporal associations with neighborhood characteristics and community incidence of COVID-19, respectively. METHODS: This observational study analyzed online, DTC orders for rapid antigen test kits from beneficiaries of the Say Yes! Covid Test program from March to November 2021 in five communities: Louisville, Kentucky; Indianapolis, Indiana; Fulton County, Georgia; O'ahu, Hawaii; and Ann Arbor/Ypsilanti, Michigan. Using spatial autoregressive models, we assessed the geospatial associations of test kit distribution with Census block-level education, income, age, population density, and racial distribution and Census tract-level Social Vulnerability Index. Lag association analyses were used to measure the association between online rapid antigen kit orders and community-level COVID-19 incidence. RESULTS: In total, 164,402 DTC test kits were ordered during the intervention. Distribution of tests at all sites were significantly geospatially clustered at the block-group level (Moran's I: p < 0.001); however, education, income, age, population density, race, and social vulnerability index were inconsistently associated with test orders across sites. In Michigan, Georgia, and Kentucky, there were strong associations between same-day COVID-19 incidence and test kit orders (Michigan: r = 0.89, Georgia: r = 0.85, Kentucky: r = 0.75). The incidence of COVID-19 during the current day and the previous 6-days increased current DTC orders by 9.0 (95% CI = 1.7, 16.3), 3.0 (95% CI = 1.3, 4.6), and 6.8 (95% CI = 3.4, 10.2) in Michigan, Georgia, and Kentucky, respectively. There was no same-day or 6-day lagged correlation between test kit orders and COVID-19 incidence in Indiana. CONCLUSIONS: Our findings suggest that online ordering is not associated with geospatial clustering based on sociodemographic characteristics. Observed temporal preferences for DTC ordering can guide public health messaging around DTC testing programs.

Say Yes! COVID Test: A Health Communication Campaign to Encourage Use of Rapid, At-Home Antigen Testing in Underserved and Historically Marginalized Communities.

This paper describes a robust health communication campaign that supported Say Yes! COVID Test, the first National Institutes of Health (NIH)-sponsored initiative promoting community-wide, at-home, rapid antigen testing for severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), the cause of the COVID-19 pandemic. The primary goals of the health communication campaign were to promote awareness of the program among local residents, facilitate test kit distribution, and encourage frequent test kit use. To plan and implement the campaign, the team applied principles of social marketing. The populations of focus were adult residents of selected communities in North Carolina (Greenville, Pitt County) and Tennessee (Chattanooga, Hamilton County), with an emphasis on underserved and historically marginalized populations. Following an accelerated planning phase, the campaign included digital, out-of-home, television, and radio advertising, in addition to public relations and organic social media. Collectively, this campaign coupled with our grassroots community engagement efforts facilitated the distribution of 66 035 test kits across both communities, or more than 1.6 million at-home tests. Facebook ads were the most successful in driving online test kit orders (7.9% conversion rate in Pitt County; 8.1% conversion rate in Chattanooga), although employing a variety of marketing channels enabled reach across multiple subpopulations. Market research data indicated high program awareness but low uptake in testing. Lessons learned from campaign planning and implementation can inform future public health initiatives, including selecting the appropriate marketing mix to facilitate awareness, and collaborating with community partners and local health departments to ensure successful program execution.

Factor analysis of the Center for Epidemiological Studies Depression Scale in American Indian women.

The Center for Epidemiological Studies Depression Scale (CES-D) is widely used to assess depressive symptoms in the general population. It lacks validation for widespread use within the American Indian population, however. To address this gap, we explored and confirmed the factor structure of the CES-D among a community sample of southeastern American Indian women. We analyzed data from a sample of 150 American Indian women ages 18-50 from a southeastern tribe who had complete responses on the CES-D as part of a larger cross-sectional, community-engaged study. We performed exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to assess the measure's validity. We examined EFA models ranging from one to five factors, with the four-factor structure yielding the best overall model fit (CFI = 1.00, TLI = 0.99, RMSEA = 0.03). Differences between the four-factor EFA-retained structure from our sample and Radloff's four-factor structure emerged. Only the interpersonal factor was common to both factor structures. Our study findings confirm the validity of the original four-factor structure of the CES-D for younger adult American Indian women in the southeast. Contrasting findings with the EFA-retained structure, however, provide a more nuanced interpretation of our results.

Use of a Digital Assistant to Report COVID-19 Rapid Antigen Self-test Results to Health Departments in 6 US Communities.

Importance: Widespread distribution of rapid antigen tests is integral to the US strategy to address COVID-19; however, it is estimated that few rapid antigen test results are reported to local departments of health. Objective: To characterize how often individuals in 6 communities throughout the United States used a digital assistant to log rapid antigen test results and report them to their local departments of health. Design, Setting, and Participants: This prospective cohort study is based on anonymously collected data from the beneficiaries of the Say Yes! Covid Test program, which distributed more than 3 000 000 rapid antigen tests at no cost to residents of 6 communities (Louisville, Kentucky; Indianapolis, Indiana; Fulton County, Georgia; O'ahu, Hawaii; Ann Arbor and Ypsilanti, Michigan; and Chattanooga, Tennessee) between April and October 2021. A descriptive evaluation of beneficiary use of a digital assistant for logging and reporting their rapid antigen test results was performed. Interventions: Widespread community distribution of rapid antigen tests. Main Outcomes and Measures: Number and proportion of tests logged and reported to the local department of health through the digital assistant. Results: A total of 313 000 test kits were distributed, including 178 785 test kits that were ordered using the digital assistant. Among all distributed kits, 14 398 households (4.6%) used the digital assistant, but beneficiaries reported three-quarters of their rapid antigen test results to their state public health departments (30 965 tests reported of 41 465 total test results [75.0%]). The reporting behavior varied by community and was significantly higher among communities that were incentivized for reporting test results vs those that were not incentivized or partially incentivized (90.5% [95% CI, 89.9%-91.2%] vs 70.5%; [95% CI, 70.0%-71.0%]). In all communities, positive tests were less frequently reported than negative tests (60.4% [95% CI, 58.1%-62.8%] vs 75.5% [95% CI, 75.1%-76.0%]). Conclusions and Relevance: These results suggest that application-based reporting with incentives may be associated with increased reporting of rapid tests for COVID-19. However, increasing the adoption of the digital assistant may be a critical first step.

Physicians' Perceptions of Race and Engagement in Race-Based Clinical Practice: a Mixed-Methods Systematic Review and Narrative Synthesis.

BACKGROUND: Using race-a socially assigned identity that does not adequately capture human genetic variation-to guide clinical care can result in poor outcomes for racially minoritized patients. This study assessed (1) how physicians conceptualize and use race in their clinical care (race-based care) and (2) physician characteristics associated with race-based care. METHODS: PubMed, CINAHL, EMBASE, and Scopus databases were searched. Qualitative, quantitative, and mixed-methods studies written in peer-reviewed, English-language journal articles evaluating US physicians' perceptions of race and physician factors associated with race-based care were included. Risk of bias was assessed using the Mixed Methods Appraisal Tool. Qualitative studies were evaluated using thematic analysis, and quantitative findings were summarized and combined with qualitative findings in a narrative synthesis. RESULTS: A total of 1149 articles were identified; 9 (4 qualitative, 5 quantitative) studies met inclusion criteria. Five themes emerged: (1) the belief in race as biological; (2) the use of race to contextualize patients' health; (3) the use of race to counsel patients and determine care; (4) justifications for race-based practice (evidence-based, personal experience, addresses disparities, provides personalized care, increases compliance); and (5) concerns with race-based practice (poorly characterizes patients, normalizes disparities, patient distrust, clinician discomfort, legitimized biological race). In quantitative studies, older age was positively associated with race-based care. DISCUSSION: Physicians had varied perceptions of race, but many believed race was biological. Concern and support for race-based practice were related to beliefs regarding the evidence for using race in care and the appropriateness of race as a variable in medical research. Older physicians were more likely to use race, which could be due to increased exposure to race-based medical literature, in addition to generational differences in conceptualizations of race. Additional research on the evolution of physicians' perceptions of race, and the role of medical literature in shaping these perceptions, is needed.

Using a most significant change approach to evaluate learner-centric outcomes of clinical scholars leadership training program.

BACKGROUND: Most significant change (MSC) analysis is an evaluative method used to supplement outcome and impact program evaluations. MSC stories provide mini-narratives contextualizing the effect a program had on an individual. The Clinical Scholars program evaluation team used MSC to explore learner-centric leadership outcomes of the Clinical Scholars leadership training program. PURPOSE OF THE RESEARCH: To identify thematic outcomes of trainees during the three years of their leadership training in the Clinical Scholars program. RESULTS: We identified three central thematic areas of most significant change: (1) leadership in practice, (2) self-awareness, and (3) equity, diversity, and inclusion. Other present themes included stakeholder engagement, effective leadership, collaboration, impact, expanded influence, innovation, networking, community engagement, evidence-based, implementation science, organizational development, hope, and advocating within organizations, teams, and the community. A total of 25 mid- and advanced-career level participants represented a diverse array of disciplines within the healthcare sector. CONCLUSIONS: MSC stories represented leaders' individual and team growth due to participating in the Clinical Scholars program. Results confirmed fidelity of program implementation to the original program goals, as outlined in the grant proposal. They highlighted three critical areas of development for this cohort of Fellows.

If you build it, will they use it? Use of a Digital Assistant for Self-Reporting of COVID-19 Rapid Antigen Test Results during Large Nationwide Community Testing Initiative.

Importance: Wide-spread distribution of rapid-antigen tests is integral to the United States' strategy to address COVID-19; however, it is estimated that few rapid-antigen test results are reported to local departments of health. Objective: To characterize how often individuals in six communities throughout the United States used a digital assistant to log rapid-antigen test results and report them to their local Department of Health. Design: This prospective cohort study is based on anonymously collected data from the beneficiaries of The Say Yes! Covid Test program, which distributed 3,000,000 rapid antigen tests at no cost to residents of six communities between April and October 2021. We provide a descriptive evaluation of beneficiaries' use of digital assistant for logging and reporting their rapid antigen test results. Main Outcome and Measures: Number and proportion of tests logged and reported to the Department of Health through the digital assistant. Results: A total of 178,785 test kits were ordered by the digital assistant, and 14,398 households used the digital assistant to log 41,465 test results. Overall, a small proportion of beneficiaries used the digital assistant (8%), but over 75% of those who used it reported their rapid antigen test results to their state public health department. The reporting behavior varied between communities and was significantly different for communities that were incentivized for reporting test results (p < 0.001). In all communities, positive tests were less reported than negative tests (60.4% vs 75.5%; p<0.001). Conclusions and Relevance: These results indicate that app-based reporting with incentives may be an effective way to increase reporting of rapid tests for COVID-19; however, increasing the adoption of the digital assistant is a critical first step.

Association of Mass Distribution of Rapid Antigen Tests and SARS-CoV-2 Prevalence: Results from NIH-CDC funded Say Yes! Covid Test program in Michigan.

Importance: Wide-spread distribution of diagnostics is an integral part of the United States’ COVID-19 strategy; however, few studies have assessed the effectiveness of this intervention at reducing transmission of community COVID-19. Objective: To assess the impact of the Say Yes! Covid Test (SYCT!) Michigan program, a population-based program that distributed 20,000 free rapid antigen tests within Ann Arbor and Ypsilanti, Michigan in June-August 2021, on community prevalence of SARS-CoV-2. Design: This ecological study analyzed cases of SARS-CoV-2 from March to October 2021 reported to the Washtenaw County Health Department. Setting: Washtenaw County, Michigan. Participants: All residents of Washtenaw County. Interventions: Community-wide distribution of 500,000 rapid antigen tests for SARS-CoV-2 to residents of Ann Arbor and Ypsilanti, Michigan. Each household was limited to one test kit containing 25 rapid antigen tests. Main Outcome and Measures: Community prevalence of SARS-CoV-2, as measured through 7-day average cases, in Ann Arbor and Ypsilanti was compared to the rest of Washtenaw County. A generalized additive model was fitted with non-parametric trends for control and relative differences of trends in the pre-intervention, intervention, and post-intervention periods to compare intervention municipalities of Ann Arbor and Ypsilanti to the rest of Washtenaw County. Model results were used to calculate average cases prevented in the post-intervention period. Results: In the post-intervention period, there were significantly lower standardized average cases in the intervention communities of Ann Arbor/Ypsilanti compared to the rest of Washtenaw County (p<0.001). The estimated standardized relative difference between Ann Arbor/Ypsilanti and the rest of Washtenaw County was -0.016 cases per day (95% CI: -0.020 to -0.013), implying that the intervention prevented 40 average cases per day two months into the post-intervention period if trends were consistent. Conclusions and Relevance: Mass distribution of rapid antigen tests may be a useful mitigation strategy to combat community transmission of SARS-CoV-2, especially given the recent relaxation of social distancing and masking requirements.

Methodological Considerations in Scale Refinement with Diverse Populations: A Case Example Using the CES-D with a Community Sample of American Indian Women.

Although many psychometric assessments are used extensively in population-based research to determine psychopathology, these tools have not been thoroughly validated or appropriately adapted for use in diverse populations. Indeed, depression measurement studies among American Indian and female populations are scarce, omitting key opportunities to tailor psychological measurement for this population. To build psychometric evidence of measures in this population, we used a procedural method to examine a standard psychological instrument-the Center for Epidemiological Studies Depression Scale (CES-D)-with a community sample of southeast American Indian women. Our results showed strong psychometric reliability of the 20-item CES-D. The "effort" item presented diminished validity, as demonstrated by a negative counter-intuitive item-to-total correlation (ITC) value. Dropping the "effort" item resulted in a 19-item scale with a better fit in the within-group examination of community-based American Indian women. Compared to the 20-item CES-D scale, the revised 19-item measure ("effort" item removed) resulted in minimal changes to women's depression categories. However, we did detect patterns in shifts such that the 19-item scale generally underestimated (i.e., placed women in a lower category) depressive symptoms compared to the 20-item scale. Depending on their study goals, researchers engaging in population-based research should carefully weigh the use of original scales that allow for consistency in reporting with refined scales that fit psychometrically. We present the outlined method as a tool that expands on current approaches in scale refinement, and aids researchers in making more informed decisions regarding refined scales with diverse populations.

Social Isolation and Incident Heart Failure Hospitalization in Older Women: Women's Health Initiative Study Findings.

Background The association of social isolation or lack of social network ties in older adults is unknown. This knowledge gap is important since the risk of heart failure (HF) and social isolation increase with age. The study examines whether social isolation is associated with incident HF in older women, and examines depressive symptoms as a potential mediator and age and race and ethnicity as effect modifiers. Methods and Results This study included 44 174 postmenopausal women of diverse race and ethnicity from the WHI (Women's Health Initiative) study who underwent annual assessment for HF adjudication from baseline enrollment (1993-1998) through 2018. We conducted a mediation analysis to examine depressive symptoms as a potential mediator and further examined effect modification by age and race and ethnicity. Incident HF requiring hospitalization was the main outcome. Social isolation was a composite variable based on marital/partner status, religious ties, and community ties. Depressive symptoms were assessed using CES-D (Center for Epidemiology Studies-Depression). Over a median follow-up of 15.0 years, we analyzed data from 36 457 women, and 2364 (6.5%) incident HF cases occurred; 2510 (6.9%) participants were socially isolated. In multivariable analyses adjusted for sociodemographic, behavioral, clinical, and general health/functioning; socially isolated women had a higher risk of incident HF than nonisolated women (HR, 1.23; 95% CI, 1.08-1.41). Adding depressive symptoms in the model did not change this association (HR, 1.22; 95% CI, 1.07-1.40). Neither race and ethnicity nor age moderated the association between social isolation and incident HF. Conclusions Socially isolated older women are at increased risk for developing HF, independent of traditional HF risk factors. Registration URL: http://www.clinicaltrials.gov; Unique identifier: NCT00000611.

Association between race/ethnicity and income on the likelihood of coronary revascularization among postmenopausal women with acute myocardial infarction: Women's health initiative study.

BACKGROUND: Historically, race, income, and gender were associated with likelihood of receipt of coronary revascularization for acute myocardial infarction (AMI). Given public health initiatives such as Healthy People 2010, it is unclear whether race and income remain associated with the likelihood of coronary revascularization among women with AMI. METHODS: Using the Women's Health Initiative Study, hazards ratio (HR) of revascularization for AMI was compared for Black and Hispanic women vs White women and among women with annual income <$20,000/year vs ≥$20,000/year over median 9.5 years follow-up(1993-2019). Proportional hazards models were adjusted for demographics, comorbidities, and AMI type. Results were stratified by revascularization type: percutaneous coronary intervention and coronary artery bypass grafting(CABG). Trends by race and income were compared pre- and post-2010 using time-varying analysis. RESULTS: Among 5,284 individuals with AMI (9.5% Black, 2.8% Hispanic, and 87.7% White; 23.2% <$20,000/year), Black race was associated with lower likelihood of receiving revascularization for AMI compared to White race in fully adjusted analyses [HR:0.79(95% Confidence Interval:[CI]0.66,0.95)]. When further stratified by type of revascularization, Black race was associated with lower likelihood of percutaneous coronary intervention for AMI compared to White race [HR:0.72(95% CI:0.59,0.90)] but not for CABG [HR:0.97(95%CI:0.72,1.32)]. Income was associated with lower likelihood of revascularization [HR:0.90(95%CI:0.82,0.99)] for AMI. No differences were observed for other racial/ethnic groups. Time periods (pre/post-2010) were not associated with change in revascularization rates. CONCLUSION: Black race and income remain associated with lower likelihood of revascularization among patients presenting with AMI. There is a substantial need to disrupt the mechanisms contributing to race, sex, and income disparities in AMI management.

At-home testing to mitigate community transmission of SARS-CoV-2: protocol for a public health intervention with a nested prospective cohort study.

BACKGROUND: The COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to evolve as a global health crisis. Although highly effective vaccines have been developed, non-pharmaceutical interventions remain critical to controlling disease transmission. One such intervention-rapid, at-home antigen self-testing-can ease the burden associated with facility-based testing programs and improve testing access in high-risk communities. However, its impact on SARS-CoV-2 community transmission has yet to be definitively evaluated, and the socio-behavioral aspects of testing in underserved populations remain unknown. METHODS: As part of the Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) program funded by the National Institutes of Health, we are implementing a public health intervention titled "Say Yes! COVID Test" (SYCT) involving at-home self-testing using a SARS-CoV-2 rapid antigen assay in North Carolina (Greenville, Pitt County) and Tennessee (Chattanooga City, Hamilton County). The intervention is supported by a multifaceted communication and community engagement strategy to ensure widespread awareness and uptake, particularly in marginalized communities. Participants receive test kits either through online orders or via local community distribution partners. To assess the impact of this intervention on SARS-CoV-2 transmission, we will conduct a non-randomized, ecological study using community-level outcomes. Specifically, we will evaluate trends in SARS-CoV-2 cases and hospitalizations, SARS-CoV-2 viral load in wastewater, and population mobility in each community before, during, and after the SYCT intervention. Individuals who choose to participate in SYCT will also have the option to enroll in an embedded prospective cohort substudy gathering participant-level data to evaluate behavioral determinants of at-home self-testing and socio-behavioral mechanisms of SARS-CoV-2 community transmission. DISCUSSION: This is the first large-scale, public health intervention implementing rapid, at-home SARS-CoV-2 self-testing in the United States. The program consists of a novel combination of an at-home testing program, a broad communications and community engagement strategy, an ecological study to assess impact, and a research substudy of the behavioral aspects of testing. The findings from the SYCT project will provide insights into innovative methods to mitigate viral transmission, advance the science of public health communications and community engagement, and evaluate emerging, novel assessments of community transmission of disease.

The significant places of African American adults and their perceived influence on cardiovascular disease risk behaviors.

BACKGROUND: AA living in rural areas of the southeastern U.S. experience a disproportionate burden of cardiovascular disease (CVD) morbidity and mortality. Neighborhood environmental factors contribute to this disparity and may decrease the effectiveness of lifestyle interventions aimed at preventing CVD. Furthermore, the influence of neighborhood factors on AA CVD risk behaviors (i.e. physical activity) may be obscured by the use of researcher-defined neighborhoods and researcher-defined healthy and unhealthy places. The objective of this study was to elucidate the effects of neighborhood environments on AA CVD risk behaviors among AA adults who recently completed a lifestyle intervention. We specifically sought to identify AA adults' self-perceived places of significance and their perceptions of how these places impact CVD risk behaviors including diet, physical activity and smoking. METHODS: We conducted semi-structured interviews with AA adults (N = 26) living in two rural North Carolina counties (Edgecombe and Nash, North Carolina, USA). Participants were recruited from a community-based behavioral CVD risk reduction intervention. All had at least one risk factor for CVD. Participants identified significant places including where they spent the most time, meaningful places, and healthy and unhealthy places on local maps. Using these maps as a reference, participants described the impact of each location on their CVD risk behaviors. Data were transcribed verbatim and coded using NVivo 12. RESULTS: The average age of participants was 63 (SD = 10) and 92% were female. Places participants defined as meaningful and places where they spent the most time included churches and relatives' homes. Healthy places included gyms and parks. Unhealthy places included fast food restaurants and relatives' homes where unhealthy food was served. Place influenced CVD risk behaviors in multiple ways including through degree of perceived control over the environment, emotional attachment and loneliness, caretaking responsibilities, social pressures and social support. CONCLUSIONS: As we seek to improve cardiovascular interventions for rural AA in the American South, it will be important to further assess the effect of significant places beyond place of residence. Strategies which leverage or modify behavioral influences within person-defined significant places may improve the reach and effectiveness of behavioral lifestyle interventions.

Community Health Worker Training Curricula and Intervention Outcomes in African American and Latinx Communities: A Systematic Review.

In recent years, community health workers (CHWs) have emerged as key stakeholders in implementing community-based public health interventions in racially diverse contexts. Yet little is known about the extent to which CHW training curriculums influence intervention effectiveness in marginalized racial and ethnic minority communities. This review summarizes evidence on the relationship between CHW training curricula and intervention outcomes conducted among African American and Latinx populations. We conducted a literature search of intervention studies that focused on CHW public health interventions in African American and Latinx populations using PubMed, PsycINFO, ERIC, CINAHL, EMBASE, and Web of Science databases. Included studies were quantitative, qualitative, and mixed methods studies employed to conduct outcome (e.g., blood pressure and HbA1c) and process evaluations (e.g., knowledge and self-efficacy) of CHW-led interventions. Out of 3,295 articles from the database search, 36 articles met our inclusion criteria. Overall, the strength of evidence linking specific CHW training curricula components to primary intervention health outcomes was weak, and no studies directly linked outcomes to specific characteristics of CHW training. Studies that described training related to didactic sessions or classified as high intensity reported higher percentages of positive outcomes compared to other CHW training features. These findings suggest that CHW training may positively influence intervention effectiveness but additional research using more robust methodological approaches is needed to clarify these relationships.

Refining Black men's depression measurement using participatory approaches: a concept mapping study.

BACKGROUND: Despite cumulative socioeconomic disadvantage and risk factors, Black Americans have a lower prevalence of depression than whites. Given the emerging focus of depression as a public mental health crisis, culturally informed depression measures and scale development techniques are needed to better alleviate the mental health burden of socially marginalized populations. Yet, for Black men, race- and gender-related factors that position emotional vulnerability as a sign of weakness, may potentially mask the timely identification of mental health needs in this population. Thus, we address these gaps by employing a stakeholder-driven, community-engaged process for understanding Black men's depression experience. METHODS: We use concept mapping, a structured mixed methods approach, to determine how stakeholders of Black men's health conceptualize their depressive symptoms. Thirty-six stakeholders participated in a three-phase concept mapping study conducted in 2018. Three separate stakeholder groups were engaged for this study, including Black men, Black women, and primary care providers. RESULTS: Participants generated 68 characteristics of Black men's depression which were reflected within five conceptual clusters: (1) physical states; (2) emotional states; (3) diminished drive; (4) internal conflicts; (5) communication with others; and (6) social pressures. Using a content analysis approach, we found that items comprising the "social pressures" cluster were not reflected in any common depression scales. CONCLUSIONS: Findings from this study illustrate the similar and divergent pathways in which Black men express depressed mood. Furthermore, concept mapping results also yield a novel opportunity for culturally informed scale development in future research.

Health disparities and equity in the era of COVID-19.

Over the last year, COVID-19 has emerged as a highly transmissible and lethal infection. As we address this global pandemic, its disproportionate impact on Black, Indigenous, and Latinx communities has served to further magnify the health inequities in access and treatment that persist in our communities. These sobering realities should serve as the impetus for reexamination of the root causes of inequities in our health system. An increased commitment to strategic partnerships between academic and nonacademic health systems, industry, local communities, and policy-makers may serve as the foundation. Here, we examine the impact of the recent COVID-19 pandemic on health care inequities and propose a strategic roadmap for integration of clinical and translational research into our understanding of health inequities.

A Longitudinal Observational Study of Multimorbidity and Partner Support for Physical Activity Among People with Osteoarthritis.

BACKGROUND: Physical activity can improve osteoarthritis-related symptoms; however, many people with osteoarthritis (PWOA) are insufficiently active. Social support for physical activity from an intimate partner can help PWOA increase activity, but managing multiple, chronic physical or mental health conditions (i.e., multimorbidity) may influence provision and receipt of that support. METHOD: Data from a 1-year longitudinal observational study was used to examine associations between multimorbidity and three dimensions of partner support for physical activity-companionship partner support (doing activity together), enacted partner support, and social support effectiveness-in 169 insufficiently active PWOA and their partners. RESULTS: Multivariable-adjusted multi-level models indicated baseline differences in support by multimorbidity status: when partners had multimorbidity, PWOA reported receiving less companionship support and less effective support from partners; when PWOA had multimorbidity, partners reported providing less enacted support and both partners and PWOA reported less effective partner support. Broad trends (p < .05) indicate initial increases and subsequent decreases in companionship and enacted partner support when PWOA had multimorbidity, and among partners with and without multimorbidity. When PWOA had multimorbidity, an initial increase in support effectiveness was followed by no significant change; a similar trend was seen among partners with and without multimorbidity. CONCLUSION: Multimorbidity may generally contribute to less partner support for physical activity or less effective support, although influences on support over time are less clear. Physical activity interventions for couples experiencing multimorbidity would likely benefit from attention to the impact of multiple chronic health conditions on physical activity and physical activity-related partner support.

SARS-CoV-2 testing in North Carolina: Racial, ethnic, and geographic disparities.

SARS-CoV-2 testing data in North Carolina during the first three months of the state's COVID-19 pandemic were analyzed to determine if there were disparities among intersecting axes of identity including race, Latinx ethnicity, age, urban-rural residence, and residence in a medically underserved area. Demographic and residential data were used to reconstruct patterns of testing metrics (including tests per capita, positive tests per capita, and test positivity rate which is an indicator of sufficient testing) across race-ethnicity groups and urban-rural populations separately. Across the entire sample, 13.1% (38,750 of 295,642) of tests were positive. Within racial-ethnic groups, 11.5% of all tests were positive among non-Latinx (NL) Whites, 22.0% for NL Blacks, and 66.5% for people of Latinx ethnicity. The test positivity rate was higher among people living in rural areas across all racial-ethnic groups. These results suggest that in the first three months of the COVID-19 pandemic, access to COVID-19 testing in North Carolina was not evenly distributed across racial-ethnic groups, especially in Latinx, NL Black and other historically marginalized populations, and further disparities existed within these groups by gender, age, urban-rural status, and residence in a medically underserved area.