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.

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.

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.

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.

The association between health care coverage and prevalence of cardiovascular diseases and diabetes over a 10-year period.

Persons without health care coverage have poorer health outcomes. We investigated the association between health care coverage and trends in the prevalence of cardiovascular disease (CVD) and diabetes pre- and post-Affordable Care Act (ACA) periods. Using data from 3,824,678 surveyed adults in the Behavioral Risk Factor Surveillance System survey from 2007 - 2016, we calculated the yearly prevalence of CVD and diabetes. Using logistic regression, we investigated the association between health care coverage and CVD and diabetes, controlling for sociodemographic factors (age, sex, race, marital status, education and income). The mean age of participants was 55.3 ± 18.9 years. Health care coverage increased from 88.6% in 2007 to 93% in 2016. The prevalence of CVD and diabetes increased from pre- to post-ACA periods. After adjustment, in pre-ACA period, the odds ratio (OR) for the association between health care coverage and CVD and diabetes was 1.32 (95% CI:1.30-1.34) and 1.44 (95% CI:1.41-1.46), respectively; in the post-ACA period, the OR was 1.26 (95% CI:1.22-1.30) and 1.48 (95% CI:1.44-1.52), respectively. We found a significant association between health care coverage and trends in the prevalence of CVD and diabetes in the pre- and post-ACA periods.

Predictors of genetic beliefs toward cancer risk perceptions among adults in the United States: Implications for prevention or early detection.

The objective of this study is to assess predictors of genetic beliefs toward cancer risk perceptions among adults, aged 18 years and over, in the United States (US). Data were obtained from the National Cancer Institute's (NCI) Health Information National Trends Survey 2014 (HINTS) 4 Cycle 4. Bivariate and multivariable logistic regression analyses were conducted to assess factors associated with an individual's beliefs about genetic and cancer risk perceptions. The results showed that African Americans, Non-White Hispanics, Non-Hispanic Asians, individuals with a high school education or less, and annual household incomes less than $20,000 and do not believe that health behaviors play some role in determining whether a person will develop cancer was significantly less likely to report that genetics plays at least some role in whether a person will develop cancer. Findings of this study provide an opportunity for genetic counselors to address beliefs about genetics and cancer risk perceptions among minority populations and promote health equity.

Home-based physical activity interventions for breast cancer patients receiving primary therapy: a systematic review.

PURPOSE: Breast cancer continues to be the leading cause of cancer in women in the US, so it is important to provide these women with good therapies. However, there are adverse effects to these therapies. Physical activity plays an important role in alleviating these adverse effects of breast cancer therapy. However, the effectiveness of home-based physical activity interventions such as walking programs has not been detailed by prior reviews. METHODS: This article reviews articles published to date to examine whether home-based physical activity interventions are effective in improving physical activity and other outcomes among breast cancer patients who are undergoing primary therapy for the disease. The present review is based upon bibliographic searches in PubMed and CINAHL and relevant search terms. Articles published in English from 1980 through February 28, 2019 were identified. A total of 360 article citations were identified in PubMed and non-duplicates in CINAHL. RESULTS: After screening the abstracts or full texts of these articles and reviewing the references of previous review articles, we found 15 studies that met the eligibility criteria. Four of the studies were pre/post-test trials, 10 were randomized controlled trials, and one study was an observational study. CONCLUSION: Results from studies published to date indicate that among women receiving primary breast cancer therapy, home-based physical activity programs have positive effects on physical functioning and symptoms such as fatigue. Among women receiving adjuvant chemotherapy or radiation therapy, home-based physical activity programs are effective in reducing symptoms and improving physical functioning. Additional studies are needed to clarify the impact of home-based physical therapy interventions on other outcomes including quality-of-life, bone mineral density, cognitive functioning, and chemotherapy-induced peripheral neuropathy.

Patterns of Internet-based health information seeking in adult survivors of childhood cancer.

BACKGROUND: To assess where, when, and why survivors of childhood cancer seek health information. PROCEDURE: Data from the Childhood Cancer Survivor Study (CCSS) cohort (n = 1386) and Health Information National Trends Survey (n = 2385) were analyzed to determine the health information seeking strategies of childhood cancer survivors. Descriptive frequencies, χ2 analyses, t-tests, and multivariable logistic regression models were used. RESULTS: To seek health-related information for themselves, 54% (n = 742) of the childhood survivors reported using the Internet in the past 12 months, compared to 45% of the general population (adjusted OR: 2.76; 95% CI: 2.40-3.19). Childhood cancer survivors who used the Internet for health information were more likely to be female, between the ages of 18-34, have received some college education or be a college graduate, and report being in poor health. Although survivors were less likely than the general population to trust health information from the Internet (P < 0.01), they indicated that they would like a secure website that uses information from their medical records to provide individualized health-related information. CONCLUSION: The use of the Internet to access health information among the childhood cancer survivors was over 50%. Information on late effects was a high priority for most survivors, as was their interest in websites related to late effects and a website on patient information tailored to personal situations. Identification of factors associated with searching the Internet for cancer information may provide direction for development of effective cancer communication interventions for this at-risk population.

Counties eliminating racial disparities in colorectal cancer mortality.

BACKGROUND: Although colorectal cancer (CRC) mortality rates are declining, racial-ethnic disparities in CRC mortality nationally are widening. Herein, the authors attempted to identify county-level variations in this pattern, and to characterize counties with improving disparity trends. METHODS: The authors examined 20-year trends in US county-level black-white disparities in CRC age-adjusted mortality rates during the study period between 1989 and 2010. Using a mixed linear model, counties were grouped into mutually exclusive patterns of black-white racial disparity trends in age-adjusted CRC mortality across 20 three-year rolling average data points. County-level characteristics from census data and from the Area Health Resources File were normalized and entered into a principal component analysis. Multinomial logistic regression models were used to test the relation between these factors (clusters of related contextual variables) and the disparity trend pattern group for each county. RESULTS: Counties were grouped into 4 disparity trend pattern groups: 1) persistent disparity (parallel black and white trend lines); 2) diverging (widening disparity); 3) sustained equality; and 4) converging (moving from disparate outcomes toward equality). The initial principal component analysis clustered the 82 independent variables into a smaller number of components, 6 of which explained 47% of the county-level variation in disparity trend patterns. CONCLUSIONS: County-level variation in social determinants, health care workforce, and health systems all were found to contribute to variations in cancer mortality disparity trend patterns from 1990 through 2010. Counties sustaining equality over time or moving from disparities to equality in cancer mortality suggest that disparities are not inevitable, and provide hope that more communities can achieve optimal and equitable cancer outcomes for all. Cancer 2016;122:1735-48. © 2016 American Cancer Society.

Paths to health equity: Local area variation in progress toward eliminating breast cancer mortality disparities, 1990-2009.

BACKGROUND: US breast cancer deaths have been declining since 1989, but African American women are still more likely than white women to die of breast cancer. Black/white disparities in breast cancer mortality rate ratios have actually been increasing. METHODS: Across 762 US counties with enough deaths to generate reliable rates, county-level, age-adjusted breast cancer mortality rates were examined for women who were 35 to 74 years old during the period of 1989-2010. Twenty-two years of mortality data generated twenty 3-year rolling average data points, each centered on a specific year from 1990 to 2009. Mixed linear models were used to group each county into 1 of 4 mutually exclusive trend patterns. The most recent 3-year average black breast cancer mortality rate for each county was also categorized as being worse or not worse than the breast cancer mortality rate for the total US population. RESULTS: More than half of the counties (54%) showed persistent, unchanging disparities. Roughly 1 in 4 (24%) had a divergent pattern of worsening black/white disparities. However, 10.5% of the counties sustained racial equality over the 20-year period, and 11.7% of the counties actually showed a converging pattern from high disparities to greater equality. Twenty-three counties had 2008-2010 black mortality rates better than the US average mortality rate. CONCLUSIONS: Disparities are not inevitable. Four US counties have sustained both optimal and equitable black outcomes as measured by both absolute (better than the US average) and relative benchmarks (equality in the local black/white rate ratio) for decades, and 6 counties have shown a path from disparities to health equity.

The Role of Mock Reviewing Sessions in the National Research Mentoring Network Strategic Empowerment Tailored for Health Equity Investigators: A Randomized Controlled Study.

The National Research Mentoring Network (NRMN) Strategic Empowerment Tailored for Health Equity Investigators (SETH) study evaluates the value of adding Developmental Network to Coaching in the career advancement of diverse Early-Stage Investigators (ESIs). Focused NIH-formatted Mock Reviewing Sessions (MRS) prior to the submission of grants can significantly enhance the scientific merits of an ESI's grant application. We evaluated the most prevalent design, analysis-related factors, and the likelihood of grant submissions and awards associated with going through MRS, using descriptive statistics, Chi-square, and logistic regression methods. A total of 62 out of 234 applications went through the MRS. There were 69.4% that pursued R grants, 22.6% career development (K) awards, and 8.0% other grant mechanisms. Comparing applications that underwent MRS versus those that did not (N = 172), 67.7% vs. 38.4% were submitted for funding (i.e., unadjusted difference of 29.3%; OR = 4.8, 95% CI = (2.4, 9.8), p-value < 0.0001). This indicates that, relative to those who did not undergo MRS, ESIs who did, were 4.8 times as likely to submit an application for funding. Also, ESIs in earlier cohorts (1-2) (a period that coincided with the pre COVID-19 era) as compared to those who were recruited at later cohorts (3-4) (i.e., during the peak of COVID-19 period) were 3.8 times as likely to submit grants (p-value < 0.0001). The most prevalent issues that were identified included insufficient statistical design considerations and plans (75%), conceptual framework (28.3%), specific aims (11.7%), evidence of significance (3.3%), and innovation (3.3%). MRS potentially enhances grant submissions for extramural funding and offers constructive feedback allowing for modifications that enhance the scientific merits of research grants.

Impact of COVID-19 on the Research Career Advancement of Health Equity Scholars from Diverse Backgrounds.

The COVID-19 pandemic has significantly taxed scientific research and seems to have exacerbated existing inequities within the research field, particularly for early-stage investigators (ESIs). This study examines the effects of the COVID-19 pandemic on traditionally underrepresented ESIs enrolled in an NIH-supported study evaluating the effectiveness of developmental networks, grant writing coaching, and mentoring on research career advancement. The survey consisted of 24 closed-ended (quantitative) and 4 open-ended questions (qualitative) linked to a participant's ability to meet grant submission deadlines, research and professional development disruptions, stress level, career transition level, self-efficacy and management of scholarly tasks, and familial responsibilities. Results from 32 respondents (53%) suggest that COVID-19 adversely impacted the continuity of research (81%) and grant submissions (63%). On average, grant submissions were delayed by 6.69 months (i.e., greater than one grant cycle). We also conducted additional analyses characterizing nonresponse and found that there were no significant predictors of nonresponse, indicating a limited threat to the validity of our findings. The disruption caused by COVID-19 to the careers of ESIs from underrepresented groups in the biomedical workforce has been profound in the short term. The long-term consequences to the future success of these groups are unknown but is a worthwhile area of research and potential innovation.

Individual and Institutional Factors Contribute to Research Capacity Building for Early-Stage Investigators from Groups Underrepresented in Biomedical Research: A Qualitative Comparative Analysis.

BACKGROUND: Enhancement of diversity within the U.S. research workforce is a recognized need and priority at a national level. Existing comprehensive programs, such as the National Research Mentoring Network (NRMN) and Research Centers in Minority Institutions (RCMI), have the dual focus of building institutional research capacity and promoting investigator self-efficacy through mentoring and training. METHODS: A qualitative comparative analysis was used to identify the combination of factors that explain the success and failure to submit a grant proposal by investigators underrepresented in biomedical research from the RCMI and non-RCMI institutions. The records of 211 participants enrolled in the NRMN Strategic Empowerment Tailored for Health Equity Investigators (NRMN-SETH) program were reviewed, and data for 79 early-stage, underrepresented faculty investigators from RCMI (n = 23) and non-RCMI (n = 56) institutions were included. RESULTS: Institutional membership (RCMI vs. non-RCMI) was used as a possible predictive factor and emerged as a contributing factor for all of the analyses. Access to local mentors was predictive of a successful grant submission for RCMI investigators, while underrepresented investigators at non-RCMI institutions who succeeded with submitting grants still lacked access to local mentors. CONCLUSION: Institutional contexts contribute to the grant writing experiences of investigators underrepresented in biomedical research.

Assessing the role of spirituality in coping among African Americans diagnosed with cancer.

Spirituality plays an important role in cancer coping among African Americans. The purpose of this study was to report on the initial psychometric properties of instruments specific to the cancer context, assessing the role of spirituality in coping. Items were developed based on a theoretical model of spirituality and qualitative patient interviews. The instruments reflected connections to self, others, God, and the world. One hundred African American cancer survivors completed the instruments by telephone. The instruments showed adequate internal reliability, mixed convergent validity, discriminant validity, and interpretable factor structures.

American College of Preventive Medicine: Addressing the Opioid Epidemic Through a Prevention Framework.

The opioid epidemic has resulted in significant morbidity and mortality in the U.S. Health systems, policymakers, payers, and public health have enacted numerous strategies to reduce the harms of opioids, including opioid use disorder (OUD). Much of this implementation has occurred before the development of OUD‒related comparative effectiveness evidence, which would enable an understanding of the benefits and harms of different approaches. This article from the American College of Preventive Medicine (ACPM) uses a prevention framework to identify the current approaches and make recommendations for addressing the opioid epidemic, encompassing strategies across a primordial, primary, secondary, and tertiary prevention approach. Key primordial prevention strategies include addressing social determinants of health and reducing adverse childhood events. Key primary prevention strategies include supporting the implementation of evidence-based prescribing guidelines, expanding school-based prevention programs, and improving access to behavioral health supports. Key secondary prevention strategies include expanding access to evidence-based medications for opioid use disorder, especially for high-risk populations, including pregnant women, hospitalized patients, and people transitioning out of carceral settings. Key tertiary prevention strategies include the expansion of harm reduction services, including expanding naloxone availability and syringe exchange programs. The ACPM Opioid Workgroup also identifies opportunities for de-implementation, in which historical and current practices may be ineffective or causing harm. De-implementation strategies include reducing inappropriate opioid prescribing; avoiding mandatory one-size-fits-all policies; eliminating barriers to medications for OUD, debunking the myth of detoxification as a primary solo treatment for opioid use disorder; and destigmatizing care practices and policies to better treat people with OUD.

Role of religious involvement and spirituality in functioning among African Americans with cancer: testing a mediational model.

The present study tested a mediational model of the role of religious involvement, spirituality, and physical/emotional functioning in a sample of African American men and women with cancer. Several mediators were proposed based on theory and previous research, including sense of meaning, positive and negative affect, and positive and negative religious coping. One hundred patients were recruited through oncologist offices, key community leaders and community organizations, and interviewed by telephone. Participants completed an established measure of religious involvement, the Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale (FACIT-SP-12 version 4), the Positive and Negative Affect Schedule (PANAS), the Meaning in Life Scale, the Brief RCOPE, and the SF-12, which assesses physical and emotional functioning. Positive affect completely mediated the relationship between religious behaviors and emotional functioning. Though several other constructs showed relationships with study variables, evidence of mediation was not supported. Mediational models were not significant for the physical functioning outcome, nor were there significant main effects of religious involvement or spirituality for this outcome. Implications for cancer survivorship interventions are discussed.

Does social support mediate the moderating effect of intrinsic religiosity on the relationship between physical health and depressive symptoms among Jews?

Previous research in the general population suggests that intrinsic religiosity moderates (mitigates) the effect of poor physical health on depression. However, few studies have focused specifically on the Jewish community. We therefore examined these variables in a cross-sectional sample of 89 Orthodox and 123 non-Orthodox Jews. Based on previous research suggesting that non-Orthodox Judaism values religious mental states (e.g., beliefs) less and a collectivist social religiosity more, as compared to Orthodox Judaism, we hypothesized that the moderating effect of intrinsic religiosity would mediated by social support among non-Orthodox but not Orthodox Jews. As predicted, results indicated that the relationship between physical health and depression was moderated by intrinsic religiosity in the sample as a whole. Furthermore, this effect was mediated by social support among non-Orthodox Jews, but not among the Orthodox. The importance of examining religious affiliation and potential mediators in research on spirituality and health is discussed.

Training physicians to do office-based smoking cessation increases adherence to PHS guidelines.

UNLABELLED: Cigarette smoking is the leading cause of preventable mortality and morbidity in the United States. Healthcare providers can contribute significantly to the war against tobacco use; patients advised to quit smoking by their physicians are 1.6 times more likely to quit than patients not receiving physician advice. However, most smokers do not receive this advice when visiting their physicians. The Morehouse School of Medicine Tobacco Control Research Program was undertaken to develop best practices for implementing the "2000 Public Health Services Clinical Practice Guidelines on Treating Tobacco Use and Dependence" and the "Pathways to Freedom" tobacco cessation program among African American physicians in private practice and healthcare providers at community health centers. Ten focus groups were conducted; 82 healthcare professionals participated. Six major themes were identified as barriers to the provision of smoking cessation services. An intervention was developed based on these results and tested among Georgia community-based physicians. A total of 308 charts were abstracted both pre- and post-intervention. Charts were scored using a system awarding one point for each of the five "A's" recommended by the PHS guidelines (Ask, Advise, Assess, Assist, Arrange) employed during the patient visit. The mean pre-intervention five "A's" score was 1.29 compared to 1.90 post-intervention (P < 0.001). All charts had evidence of the first "A" ("asked") both pre- and post-intervention, and the other four "A's" all had statistically significant increases pre-to post-intervention. CONCLUSIONS: The results demonstrate that, with training of physicians, compliance with the PHS tobacco guidelines can be greatly improved.

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.

Randomized Controlled Study to Test the Effectiveness of Developmental Network Coaching in the Career Advancement of Diverse Early-Stage Investigators (ESIs): Implementation Challenges and Lessons Learned.

Introduction: Adding developmental networks (DN) to grant-writing coaching can significantly enhance ESIs' research careers. Herein, we present study design, ESIs' characteristics and encountered challenges/lessons learned and their resolutions when deploying/implementing (a) NCR algorithm(s), (b) recruitment/retention and (c) implementing DN intervention. Methods: Nested Cluster Randomization (NCR) design governs this study implementation. The sample size is 220 ESIs intending to submit an NIH K, R, U, and/or Minority Supplement application(s). Primary outcome: intensity/sustainability of grant submission(s)/funding(s), measured by time to/between application(s). Outcome(s) analyses modes: summaries, Kaplan Meir and Cox proportional hazard models as a function of randomization groups and other predictors of outcomes. Results: In the present study, we recruited two cohorts of ESIs (N = 85): 39% African Americans, 18% Latinx, 18% Whites, 20% Asians and 6% Hawaiian/Pacific Islander/other ethnicities; 65% are women; 73% are assistant professors, 4% are Associate Professors and 23% are instructors/scientists/post-doctoral. Participants' disciplines: 32% basic/biomedical, 36% clinical/translational and 32% social/behavioral. Proposal(s) mechanisms: 61% research grants (R series), 31% career development (K series), 7% support of competitive research (SCORE) and 1% National Science Foundation applications. NCR did produce balance in the distribution of ESIs' demographics, sex at birth, ethnicity, professional appointments, background disciplines, and mechanism of sought funding. Lessons learned/challenges: NCR implementation was methodologically challenged during implementation by added constraints (e.g., assigning coaches to the same randomization arm of their participants as well as blinding them to ESIs' randomization group). Recruitment and retention were hampered by the COVID-19 pandemic and more progressive and innovative strategies were needed to heighten the visibility and outreach of this program. DN delivery was also affected by the pandemic and monitoring of ESIs' engagement and facilitation of communications interventions were needed. Resolution of these challenges effectively reconfigured NCR algorithms, recruitment/retention plans, and DN intervention delivery. We intend to recruit an additional 135 ESIs focusing on underrepresented scholars from RCMIs, CTSAs, and other programs. COVID-19 rendered this program 100% virtual, with recruitment/retention challenges and substantial disruption of ESIs' research. We may extend the grant writing period, coaching, and Mock Study Section support.