Ending of the COVID-19 Related Public and National Health Emergency Declarations: Implications for Medically Underserved Populations in Tennessee

The Biden administration decided to end the COVID-19 National and Public Health emergencies on May 11, 2023. These emergency declarations were established by the Trump Administration in early 2020. Under the COVID-19 emergency declarations, US citizens were provided with COVID-19 testing, vaccines, and treatments at little or no cost. The declarations allowed the federal government the option of waiving and or modifying government programs such Medicare, Medicaid. The emergency declarations were directly tied to other COVID-19 related provisions that have also expired that includes Economic Security (CARES) Act, the American Rescue Plan Act (ARPA), the Families First Coronavirus Response Act (FFCRA), the Coronavirus Aid, Relief, and the Inflation Reduction Act (IRA), the Consolidated Appropriations Act, 2023 (CAA). In addition, there were other federal and state emergency programs that were provided and too numerous to report here. At the time of this writing, the state of Tennessee continues to have moderate and sporadic spikes in COVID-19 cases and hospitalizations. Tennessee has higher than the national average of uninsured and underinsured people in the US. In Tennessee, more than 600,000 people are uninsured or underinsured in 2023 according to a study by the Kaiser Family Foundation. The ending of the PHE greatly impact coverage, cost, and access to COVID related services that will disproportionately affect the uninsured and medically underserved populations in Tennessee, the south in general, and throughout the US. Medically underserved populations are those groups with disparities in primary care, living in poverty, older, or having higher than expected infant mortality.

Seminar: Scalable Preprocessing Tools for Exposomic Data Analysis

BACKGROUND

The exposome serves as a popular framework in which to study exposures from chemical and nonchemical stressors across the life course and the differing roles that these exposures can play in human health. As a result, data relevant to the exposome have been used as a resource in the quest to untangle complicated health trajectories and help connect the dots from exposures to adverse outcome pathways.

OBJECTIVES

The primary aim of this methods seminar is to clarify and review preprocessing techniques critical for accurate and effective external exposomic data analysis. Scalability is emphasized through an application of highly innovative combinatorial techniques coupled with more traditional statistical strategies. The Public Health Exposome is used as an archetypical model. The novelty and innovation of this seminar's focus stem from its methodical, comprehensive treatment of preprocessing and its demonstration of the positive effects preprocessing can have on downstream analytics.

DISCUSSION

State-of-the-art technologies are described for data harmonization and to mitigate noise, which can stymie downstream interpretation, and to select key exposomic features, without which analytics may lose focus. A main task is the reduction of multicollinearity, a particularly formidable problem that frequently arises from repeated measurements of similar events taken at various times and from multiple sources. Empirical results highlight the effectiveness of a carefully planned preprocessing workflow as demonstrated in the context of more highly concentrated variable lists, improved correlational distributions, and enhanced downstream analytics for latent relationship discovery. The nascent field of exposome science can be characterized by the need to analyze and interpret a complex confluence of highly inhomogeneous spatial and temporal data, which may present formidable challenges to even the most powerful analytical tools. A systematic approach to preprocessing can therefore provide an essential first step in the application of modern computer and data science methods. https://doi.org/10.1289/EHP12901.

COVID-19 Vaccine Hesitancy and Uptake among Minority Populations in Tennessee

COVID-19 vaccine hesitancy and uptake among Southern states in the US has been problematic throughout the pandemic. To characterize COVID-19 vaccine hesitancy and uptake among medically underserved communities in Tennessee. We surveyed 1482 individuals targeting minority communities in Tennessee from 2 October 2021 to 22 June 2022. Participants who indicated that they did not plan to receive or were unsure whether to receive the COVID-19 vaccine were considered vaccine-hesitant. Among participants, 79% had been vaccinated, with roughly 5.4% not likely at all to be vaccinated in the next three months from the date that the survey was conducted. When focusing particularly on Black/AA people and white people, our survey results revealed a significant association between race (Black/AA, white, or people of mixed Black/white ancestry) and vaccination status (vaccinated or unvaccinated) (p-value = 0.013). Approximately 79.1% of all participants received at least one dose of a COVID-19 vaccine. Individuals who were concerned with personal/family/community safety and/or wanted a return to normalcy were less likely to be hesitant. The study found that the major reasons cited for refusing the COVID-19 vaccines were distrust in vaccine safety, concerns about side effects, fear of needles, and vaccine efficacy.

The role of histological subtypes in the survival of patients diagnosed with cutaneous or mucosal melanoma in the United States of America

BACKGROUND

Literature presents limited information on histological subtypes and their association with other factors influencing the survival of melanoma patients. To explore the risk of death due to melanoma associated with histological subtypes, this retrospective study used the Surveillance, Epidemiology, and End Results program (SEER) data from 1998 to 2019.

METHODS

A total of 27,532 patients consisting of 15,527 males and 12,005 females. The Hypertabastic Accelerated Failure Time model was used to analyze the impact of histology on the survival of patients with cutaneous or mucosal melanoma.

RESULTS

The median survival time (MST) for cutaneous patients was 149 months, whereas those diagnosed with mucosal melanoma was 34 months. Nodular melanoma had a hazard ratio of 3.40 [95% CI: (2.94, 3.94)] compared to lentigo maligna melanoma. Across all histological subtypes, females had a longer MST, when compared to males. The hazard ratio (HR) of distant to localized melanoma was 9.56 [95% CI: (7.58, 12.07)].

CONCLUSIONS

Knowledge of patients' histological subtypes and their hazard assessment would enable clinicians and healthcare providers to perform personalized treatment, resulting in a lower risk of complication and higher survivability of melanoma patients. Significant factors were stage of the disease, age, histology, sex, and income. Focus should be placed on high-risk populations with severe and aggressive histological subtypes. Programs that emphasize preventive measures such as awareness, education, and early screening could reduce risk.

Vaccine Confidence and Uptake of the Omicron Bivalent Booster in Tennessee: Implications for Vulnerable Populations

The COVID-19 Omicron variant and its subvariants are now the dominant variants circulating in the US. Therefore, the original COVID-19 vaccine cannot offer full protection. Instead, vaccines that target the spike proteins of the Omicron variants are warranted. Hence, the FDA recommended the development of a bivalent booster. Unfortunately, despite the safety and immunogenicity of the Omicron bivalent boosters from Pfizer and Moderna, uptake in the US has been poor. At this time, only 15.8% of individuals in the US aged five and older have received the Omicron bivalent booster (OBB). The rate is 18% for those aged 18 and older. Poor vaccine confidence and booster uptake are often fueled by misinformation and vaccine fatigue. These result in more problems associated with vaccine hesitancy, which are particular prevalent in Southern states in the US. In Tennessee, the OBB vaccination rate for eligible recipients is only 5.88% at time of writing (16 February 2023). In this review, we discuss (1) the rationale for developing the OBBs; (2) the efficacy and safety of the bivalent boosters; (3) the adverse events associated with these boosters; (4) vaccine hesitancy associated with the OBBs uptake in Tennessee; (5) implications for vulnerable populations, disparities in uptake of OBBs in Tennessee, and strategies to improve vaccine confidence and OBB uptake. In support of public health, it is essential that we continue to provide education, awareness, and vaccine access to the vulnerable and medically underserved populations in Tennessee. Receiving the OBBs is the most effective method to date of protecting the public against severe COVID disease, hospitalization, and death.

Transforming Medical Education to Provide Gender-Affirming Care for Transgender and Gender-Diverse Patients: A Policy Brief

Transgender and gender-diverse (TGD) patients experience a greater burden of health disparities compared with their heterosexual/cisgender counterparts. Some of the poorer health outcomes observed in these populations are known to be associated with the prevalence of implicit bias, bullying, emotional distress, alcoholism, drug abuse, intimate partner violence, sexually transmitted infections (eg, human immunodeficiency virus and human papilloma virus), and cancer. The TGD populations face unique barriers to receiving both routine and gender-affirming health care (acquiring hormones and gender-affirming surgeries). Additional barriers to implementing affirming care training for TGD patients are lack of expertise among medical education faculty and preceptors both in undergraduate and in graduate medical education programs. Drawing on a systematic review of the literature, we propose a policy brief aimed at raising awareness about gender-affirming care among education planners and policy makers in government and advisory bodies.

The Current State of Antiracism Curricula in Undergraduate and Graduate Medical Education: A Qualitative Study of US Academic Health Centers

PURPOSE

We undertook a study to evaluate the current state of pedagogy on antiracism, including barriers to implementation and strengths of existing curricula, in undergraduate medical education (UME) and graduate medical education (GME) programs in US academic health centers.

METHODS

We conducted a cross-sectional study with an exploratory qualitative approach using semistructured interviews. Participants were leaders of UME and GME programs at 5 institutions participating in the Academic Units for Primary Care Training and Enhancement program and 6 affiliated sites from November 2021 to April 2022.

RESULTS

A total of 29 program leaders from the 11 academic health centers participated in this study. Three participants from 2 institutions reported the implementation of robust, intentional, and longitudinal antiracism curricula. Nine participants from 7 institutions described race and antiracism-related topics integrated into health equity curricula. Only 9 participants reported having "adequately trained" faculty. Participants mentioned individual, systemic, and structural barriers to implementing antiracism-related training in medical education such as institutional inertia and insufficient resources. Fear related to introducing an antiracism curriculum and undervaluing of this curriculum relative to other content were identified. Through learners and faculty feedback, antiracism content was evaluated and included in UME and GME curricula. Most participants identified learners as a stronger voice for transformation than faculty; antiracism content was mainly included in health equity curricula.

CONCLUSIONS

Inclusion of antiracism in medical education requires intentional training, focused institutional policies, enhanced foundational awareness of the impact of racism on patients and communities, and changes at the level of institutions and accreditation bodies.

Curricular Interventions in Medical Schools: Maximizing Community Engagement Through Communities of Practice

This article explains the importance of a communities of practice (CoP) model for continually aligning medical education and clinical transformation with contemporary health issues. It describes the evolution and advantages of using CoP as a model for transforming medical education and clinical practice and applies the CoP methodology to addressing the changing needs of socially vulnerable populations (LGBTQ [lesbian, gay, bisexual, transgender, and queer/questioning], persons experiencing homelessness, and migrant farm workers). In conclusion, this article describes CoP-led activities, achievements, and value creation in medical education by the National Center for Medical Education Development and Research established at the Meharry Medical College.

An Analysis of COVID-19 Mortality During the Dominancy of Alpha, Delta, and Omicron in the USA

BACKGROUND

The objective of the study was to measure the risk of death due to COVID-19 in relation to individuals' characteristics, and severity of their disease during the dominant periods of Alpha, Delta, and Omicron variants have influenced mortality rates.

METHODS

This study was conducted using COVID-19 Centers for Disease Control and Prevention (CDC) Case Surveillance Public Data Taskforce for 57 states, and United States territories between January 1, 2020 and March 20, 2022. Multivariable binary Hyperbolastic regression of type I was used to analyzes the data.

RESULTS

Seniors and ICU-admitted patients had the highest risk of death. For each additional percent increase in fully vaccinated individuals, the odds of death deceased by 1%. The odds of death prior to vaccine availability, compared to post vaccine availability, was 1.27. When comparing the time periods each variant was dominant, the odds of death was 3.45-fold higher during Delta compared to Alpha. All predictor variables had P-values ≤.001.

CONCLUSION

There was a noticeable difference in the odds of death among subcategories of age, race/ethnicity, sex, PMCs, hospitalization, ICU, vaccine availability, variant, and percent of fully vaccinated individuals.

The COVID-19 Vaccine and Pregnant Minority Women in the US: Implications for Improving Vaccine Confidence and Uptake

The American College of Obstetricians and Gynecologists (AGOG) recommends the FDA-approved Pfizer and Moderna mRNA COVID-19 vaccines and boosters for all eligible pregnant women in the US. However, COVID-19 vaccine confidence and uptake among pregnant minority women have been poor. While the underlying reasons are unclear, they are likely to be associated with myths and misinformation about the vaccines. Direct and indirect factors that deter minority mothers in the US from receiving the mRNA COVID-19 vaccines require further investigation. Here, we examine the historical perspectives on vaccinations during pregnancy. We will examine the following aspects: (1) the influenza and tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) vaccinations during pregnancy; (2) the exclusion of pregnant and lactating women from COVID-19 vaccine trials; (3) COVID-19 vaccine safety during pregnancy, obstetric complications associated with symptomatic COVID-19 during pregnancy, COVID-19 vaccine hesitancy among pregnant minority women, and racial disparities experienced by pregnant minority women due to the COVID-19 pandemic as well as their potential impact on pregnancy care; and (4) strategies to improve COVID-19 vaccine confidence and uptake among pregnant minority women in the US. COVID-19 vaccine hesitancy among minority mothers can be mitigated by community engagement efforts that focus on COVID-19 vaccine education, awareness campaigns by trusted entities, and COVID-19-appropriate perinatal counseling aimed to improve COVID-19 vaccine confidence and uptake.

Breakthrough COVID-19 Infections in the US: Implications for Prolonging the Pandemic

The incidence of COVID-19 breakthrough infections-an infection that occurs after you have been vaccinated-has increased in frequency since the Delta and now Omicron variants of the SARS-CoV-2 coronavirus have become the dominant strains transmitted in the United States (US). Evidence suggests that individuals with breakthrough infections, though rare and expected, may readily transmit COVID-19 to unvaccinated populations, posing a continuing threat to the unvaccinated. Here, we examine factors contributing to breakthrough infections including a poor immune response to the vaccines due to the fact of advanced age and underlying comorbidities, the natural waning of immune protection from the vaccines over time, and viral variants that escape existing immune protection from the vaccines. The rise in breakthrough infections in the US and how they contribute to new infections, specifically among the unvaccinated and individuals with compromised immune systems, will create the need for additional booster vaccinations or development of modified vaccines that directly target current variants circulating among the general population. The need to expedite vaccination among the more than 49.8 million unvaccinated eligible people in the US is critical.

Affirming and Inclusive Care Training for Medical Students and Residents to Reducing Health Disparities Experienced by Sexual and Gender Minorities: A Systematic Review

Purpose

Providing inclusive and comprehensive gender-affirming care is critical to reducing health disparities (gaps in care) experienced by sexual and gender minorities (SGM). Currently, little is known about how medical students and residents are being trained to address the health needs of SGM persons or of the most effective methods.

Methods

We conducted a systematic review of the research literature from 2000 to 2020 on the effectiveness of teaching medical students and residents on knowledge, attitudes, and skills in addressing the health of SGM persons and the strength of the research sample, design, and methods used.

Results

We identified a total of 36 articles that assessed the impact of medical student and resident education on knowledge, comfort, attitudes, confidence, and skills in working with SGM patients. All studies utilized quasi-experimental designs, and found efficacious results. No study examined the impact of training on patient outcomes.

Conclusion

Future studies will need to be powered and designed to assess the impact of training on patient outcomes.

The effect of homelessness on viral suppression in an underserved metropolitan area of middle Tennessee: potential implications for ending the HIV epidemic

BACKGROUND

A wealth of scientific evidence supports the effectiveness of HIV prophylaxis and treatment. Homelessness is strongly associated with the health status and viral suppression among underserved populations and can undermine the national plan to eliminate HIV by 2030. This retrospective observational study examined the extent in which homelessness affects HIV treatment in an underserved urban area of Middle Tennessee in 2014-2019.

RESULTS

Among 692 HIV-seropositive patients, the proportion of homeless patients increased from 13.5% in 2014 to 27.7% in 2019, thrice the national average for HIV-seropositive people (8.4%) and twice that of HIV positive patients who are participating in Ryan White programs nationwide (12.9%). Our findings suggest that homeless patients were half as likely to achieve viral suppression as compared to those who had a permanent/stable home [OR 0.48 (0.32-0.72), p-value < 0.001].

CONCLUSION

Our study indicates that homelessness may play an important role in viral suppression among persons living with HIV/AIDS in Middle Tennessee.

Trending the evidence on opioid use disorder (OUD) continuum of care among rural American Indian/Alaskan Native (AI/AN) tribes: A systematic scoping review

BACKGROUND

American Indian/Alaskan Native (AI/AN) communities are second only to White Americans in mortality from opioid use disorder (OUD), while the smallest racial/ethnic minority population group in the USA. Those in rural communities experience significant health care disparities, including poorer treatment access for substance use disorder. This systematic scoping review aimed to trend the emerging evidence on opioid use disorder (OUD) management among rural AI/AN communities as well as workforce training needs.

METHOD

We searched the Medline, Embase, PsycInfo, SSCI, and Digital theses databases for empirical study publications on OUD management among AI/AN rural communities across the continuum of prevention, treatment and care. Eight studies met the following criteria: (a) focused on OUD; (b) sampled rural AI/AN members; (c) investigated prevention, treatment and/or care perspectives and/or practices or health provider preparation; and (d) published during the period 2009-2020. Included studies met the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) quality control standards.

FINDINGS

Six of eight of the studies (75%) were surveys with community members and other stakeholders on OUD management within rural AI/AN communities rather than active interventions within this population. Moreover, five of eight of the studies (63%) reported a preference for culturally grounded health and wellness interventions with rural AI/AN, involving families, and community interventionists, utilizing community reinforcement approaches. Three of eight studies (37.5%) reported need for the cultural adaption of medication-assisted treatments (MAT) and use of culturally informed recovery care approaches. One of eight studies (12.5%) proposed to use culturally adapted contingency management behavioral approaches for OUD treatment and recovery care.

CONCLUSION

The evidence is trending to endorse culturally adapted OUD management with rural AI/AN communities, prioritizing prevention education, and use of MAT with cultural adaptation and whole person approaches to sustainable recovery care. Mental health care should be a part OUD prevention, treatment and recovery care in rural AI/AN rural communities.

The Effects of Social, Personal, and Behavioral Risk Factors and PM2.5 on Cardio-Metabolic Disparities in a Cohort of Community Health Center Patients

(1) Background: Cardio-metabolic diseases (CMD), including cardiovascular disease, stroke, and diabetes, have numerous common individual and environmental risk factors. Yet, few studies to date have considered how these multiple risk factors together affect CMD disparities between Blacks and Whites. (2) Methods: We linked daily fine particulate matter (PM2.5) measures with survey responses of participants in the Southern Community Cohort Study (SCCS). Generalized linear mixed modeling (GLMM) was used to estimate the relationship between CMD risk and social-demographic characteristics, behavioral and personal risk factors, and exposure levels of PM2.5. (3) Results: The study resulted in four key findings: (1) PM2.5 concentration level was significantly associated with reported CMD, with risk rising by 2.6% for each µg/m3 increase in PM2.5; (2) race did not predict CMD risk when clinical, lifestyle, and environmental risk factors were accounted for; (3) a significant variation of CMD risk was found among participants across states; and (4) multiple personal, clinical, and social-demographic and environmental risk factors played a role in predicting CMD occurrence. (4) Conclusions: Disparities in CMD risk among low social status populations reflect the complex interactions of exposures and cumulative risks for CMD contributed by different personal and environmental factors from natural, built, and social environments.

Preparing Medical Students to Address the Needs of Vulnerable Patient Populations: Implicit Bias Training in US Medical Schools

Little is known about how medical students are trained to identify and reduce their own biases toward vulnerable patient groups. A survey was conducted among US medical schools to determine whether their curricula addressed physician implicit biases toward three vulnerable patient groups: lesbian, gay, bisexual, transgender, and questioning (LGBTQ) individuals, persons experiencing homelessness, and migrant farmworkers. Of 141 US medical schools, 71 (50%) responded. Survey respondents indicated that implicit bias is not routinely addressed in medical education, and training specific to vulnerable populations is infrequent. Recommendations for incorporating implicit bias training in medical school curricula are discussed.

Who, What, and Where: Transforming Primary Care Education to Advance Health Equity

To transform primary care with the goal of achieving health equity, changes in the way the health care workforce is selected, trained, and ultimately delivers care should be expedited. Research has repeatedly shown the immense impact of the social determinants of health and the gaps related to health equity in the United States. Despite this knowledge, health care education and delivery systems have been slow to evolve. The Health Resources and Services Administration established the Academic Units for Primary Care Training and Enhancement to work towards strengthening the primary care workforce. Through their research, the six individual Academic Units (AU) have identified gaps related to health equity in their areas of focus. This article provides recommendations from the AUs on ways primary care health professions education can be transformed to advance health equity and serves as background for the articles to follow in the remainder of the supplement.

Communities of Practice: Transforming Medical Education and Clinical Practice for Vulnerable Populations

The report defines the theory behind communities of practice as a model to transform medical education and clinical practice for vulnerable populations (LGBTQ, persons experiencing homelessness, and migrant farm workers). It also offers lessons learned from this model to demonstrate value creation by communities of practice in medical education.

Training to reduce LGBTQ-related bias among medical, nursing, and dental students and providers: a systematic review

BACKGROUND

Lesbian, gay, bisexual, transgender and questioning (LGBTQ) individuals experience higher rates of health disparities. These disparities may be driven, in part, by biases of medical providers encountered in health care settings. Little is known about how medical, nursing, or dental students are trained to identify and reduce the effects of their own biases toward LGBTQ individuals. Therefore, a systematic review was conducted to determine the effectiveness of programs to reduce health care student or provider bias towards these LGBTQ patients.

METHODS

The authors performed searches of online databases (MEDLINE/PubMed, PsycINFO, Web of Science, Scopus, Ingenta, Science Direct, and Google Scholar) for original articles, published in English, between March 2005 and February 2017, describing intervention studies focused on reducing health care student or provider bias towards LGBTQ individuals. Data extracted included sample characteristics (i.e., medical, nursing, or dental students or providers), study design (i.e., pre-post intervention tests, qualitative), program format, program target (i.e., knowledge, comfort level, attitudes, implicit bias), and relevant outcomes. Study quality was assessed using a five-point scale.

RESULTS

The search identified 639 abstracts addressing bias among medical, nursing, and dental students or providers; from these abstracts, 60 articles were identified as medical education programs to reduce bias; of these articles, 13 described programs to reduce bias towards LGBTQ patients. Bias-focused educational interventions were effective at increasing knowledge of LGBTQ health care issues. Experiential learning interventions were effective at increasing comfort levels working with LGBTQ patients. Intergroup contact was effective at promoting more tolerant attitudes toward LGBTQ patients. Despite promising support for bias education in increasing knowledge and comfort levels among medical, nursing, and dental students or providers towards LGBTQ persons, this systematic review did not identify any interventions that assessed changes in implicit bias among students or providers.

CONCLUSIONS

Strategies for assessing and mitigating implicit bias towards LGBTQ patients are discussed and recommendations for medical, nursing, and dental school curricula are presented.

Applying an Exposome-Wide (ExWAS) Approach to Cancer Research

Traditional research approaches, including genome-wide association studies (GWAS), epigenome-wide association studies (EWAS) and Gene × Environment (G × E) studies are limited in their ability to handle the multiplicity of chemical and non-chemical toxicants to which people are exposed in the real world, over their life course, their impact on epigenomics and other biological systems, and their relationship to cancer onset, progression, and outcomes. Exposome-wide association study (ExWAS) provides a new approach for conceptualizing the roles and relationships of multiple chemical and non-chemical exposures in the etiology and progression of cancer at key developmental periods, over the life course, and across generations. ExWAS challenges us to consider the influence of both internal and external environment, chemical and non-chemical stressors, risk and protective factors, and spatial and temporal dimensions of exposures in our models of cancer incidence, outcomes, and disparities. Applying an ExWAS approach to cancer and cancer disparities research supports robust computational models and methods that will allow for analysis of the dynamic and complex interactions between genetics, epigenetics, and exposomics factors. In the coming months, we will spatially and temporally align environmental exposures with SCCS participant data from time of enrollment forward to move us closer to identifying complete exposure pathways that lead to cancer. In the future, we hope to link external sources of exposure to biomarkers of exposure, biomarkers of disease, disease phenotypes, and population level disparities.

Abstract C21: Investing in public-private partnerships to address breast cancer disparities among African-American women (low-income) within a non-Medicaid ACA expansion state and Appalachian region

The purpose of this presentation is to demonstrate how a national network can address breast cancer disparities among low socioeconomic status (SES) female populations by investing in local infrastructure, and innovative public-private partnerships in a state (non-Medicaid expansion) located within the Appalachian region.

Public Health Significance: Medically underserved populations are more likely to be diagnosed with a late-stage disease (e.g., cancer). Breast cancer incidence and mortality rates continue to vary by race, ethnicity, age, and geography along with socioeconomic status factors (e.g., level of education, household income, health insurance coverage, etc.).

Breast cancer mortality rates among women continue to remain higher in specific regions (including the Appalachian and Southern regions). Among women, African-American (Black) women possess the highest breast-cancer mortality rates. Moreover, studies have revealed that Memphis, Tennessee is one of the 25 largest cities in the United States characterized by racial disparities associated with high breast-cancer mortality rates among African-American (Black/non-Hispanic) women.

In an effort to address breast cancer disparities through partnerships, capacity-building, and ultimately stronger community-clinical linkages, SelfMade Health Network (SMHN)'s multidimensional approach involves an investment in some regions disproportionately characterized by high rates of breast cancer incidence or mortality. SMHN is the most recent member of the Centers for Disease Control and Prevention (CDC) Consortium of National Networks established to advance prevention efforts related to tobacco-related and cancer health disparities. With a specific focus on populations with low socioeconomic status (SES) characteristics, SMHN is jointly funded by the Division of Cancer Prevention and Control (DCPC) and Office on Smoking and Health (OSH) and is intended to complement other CDC-funded chronic disease program activities.

One example of SMHN's strategic approach to address breast cancer disparities (late-stage) among female adult populations with low SES characteristics included the establishment of a SMHN Regional Resource Lead Organization (RRLO) in a non-Medicaid expansion state located within the Appalachian region. One of the SMHN Regional Resource Lead Organizations (RRLOs) is Meharry Medical College located in Nashville, Tennessee.

Description of Methods or Approaches: Meharry Medical College RRLO's approach involved increased local infrastructure, capacity, and coordination through the establishment of innovative partnerships coupled with the adoption of community-based interventions and utilization of data (e.g., Geographic Information System, etc.) as well as community engagement (including a series of focus groups and roundtables). It also involved coordination among several counties to address breast cancer disparities, specifically among low-income and low-resourced women (primarily African-American).

Data Summary: As a result of adopting this multifaceted approach, more than 40 organizations representing a diverse array of organizations (e.g., Breast Cancer Survivor Group, Vanderbilt-Ingram Cancer Center, Goodwill Industries, Nashville Career College, Men's Health Network, etc.) and sectors (including public health partners) committed to the development of a Multiregional Community Outreach and Engagement Plan. In addition to establishing new public-private partnerships, the initial findings from Meharry Medical College RRLO's approach resulted in the development of proposed recommendations as well as the identification of gaps, opportunities, and challenges.

Conclusions: The initial results from Meharry Medical College RRLO's approach can potentially serve as a foundation and pathway for how to transform multilevel strategies into future strategic planning efforts (culturally and geographically relevant) relative to breast cancer disparities along the cancer continuum.

Citation Format: Dwana “Dee” Calhoun, Patricia Matthews-Juarez. Investing in public-private partnerships to address breast cancer disparities among African-American women (low-income) within a non-Medicaid ACA expansion state and Appalachian region [abstract]. In: Proceedings of the Tenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2017 Sep 25-28; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2018;27(7 Suppl):Abstract nr C21.

A novel approach to analyzing lung cancer mortality disparities: Using the exposome and a graph-theoretical toolchain

OBJECTIVES

The aim is to identify exposures associated with lung cancer mortality and mortality disparities by race and gender using an exposome database coupled to a graph theoretical toolchain.

METHODS

Graph theoretical algorithms were employed to extract paracliques from correlation graphs using associations between 2162 environmental exposures and lung cancer mortality rates in 2067 counties, with clique doubling applied to compute an absolute threshold of significance. Factor analysis and multiple linear regressions then were used to analyze differences in exposures associated with lung cancer mortality and mortality disparities by race and gender.

RESULTS

While cigarette consumption was highly correlated with rates of lung cancer mortality for both white men and women, previously unidentified novel exposures were more closely associated with lung cancer mortality and mortality disparities for blacks, particularly black women.

CONCLUSIONS

Exposures beyond smoking moderate lung cancer mortality and mortality disparities by race and gender.

POLICY IMPLICATIONS

An exposome approach and database coupled with scalable combinatorial analytics provides a powerful new approach for analyzing relationships between multiple environmental exposures, pathways and health outcomes. An assessment of multiple exposures is needed to appropriately translate research findings into environmental public health practice and policy.

Using an External Exposome Framework to Examine Pregnancy-Related Morbidities and Mortalities: Implications for Health Disparities Research

Objective: We have conducted a study to assess the role of environment on the burden of maternal morbidities and mortalities among women using an external exposome approach for the purpose of developing targeted public health interventions to decrease disparities. Methods: We identified counties in the 48 contiguous USA where observed low birthweight (LBW) rates were higher than expected during a five-year study period. The identification was conducted using a retrospective space-time analysis scan for statistically significant clusters with high or low rates by a Discrete Poisson Model. Results: We observed statistically significant associations of LBW rate with a set of predictive variables. However, in one of the two spatiotemporal models we discovered LBW to be associated with five predictive variables (teen birth rate, adult obesity, uninsured adults, physically unhealthy days, and percent of adults who smoke) in two counties situated in Alabama after adjusting for location changes. Counties with higher than expected LBW rates were similarly associated with two environmental variables (ozone and fine particulate matter). Conclusions: The county-level predictive measures of LBW offer new insights into spatiotemporal patterns relative to key contributory factors. An external framework provides a promising place-based approach for identifying “hotspots” with implications for designing targeted interventions and control measures to reduce and eliminate health disparities.

The public health exposome: a population-based, exposure science approach to health disparities research

The lack of progress in reducing health disparities suggests that new approaches are needed if we are to achieve meaningful, equitable, and lasting reductions. Current scientific paradigms do not adequately capture the complexity of the relationships between environment, personal health and population level disparities. The public health exposome is presented as a universal exposure tracking framework for integrating complex relationships between exogenous and endogenous exposures across the lifespan from conception to death. It uses a social-ecological framework that builds on the exposome paradigm for conceptualizing how exogenous exposures "get under the skin". The public health exposome approach has led our team to develop a taxonomy and bioinformatics infrastructure to integrate health outcomes data with thousands of sources of exogenous exposure, organized in four broad domains: natural, built, social, and policy environments. With the input of a transdisciplinary team, we have borrowed and applied the methods, tools and terms from various disciplines to measure the effects of environmental exposures on personal and population health outcomes and disparities, many of which may not manifest until many years later. As is customary with a paradigm shift, this approach has far reaching implications for research methods and design, analytics, community engagement strategies, and research training.

Scalable combinatorial tools for health disparities research

Despite staggering investments made in unraveling the human genome, current estimates suggest that as much as 90% of the variance in cancer and chronic diseases can be attributed to factors outside an individual’s genetic endowment, particularly to environmental exposures experienced across his or her life course. New analytical approaches are clearly required as investigators turn to complicated systems theory and ecological, place-based and life-history perspectives in order to understand more clearly the relationships between social determinants, environmental exposures and health disparities. While traditional data analysis techniques remain foundational to health disparities research, they are easily overwhelmed by the ever-increasing size and heterogeneity of available data needed to illuminate latent gene x environment interactions. This has prompted the adaptation and application of scalable combinatorial methods, many from genome science research, to the study of population health. Most of these powerful tools are algorithmically sophisticated, highly automated and mathematically abstract. Their utility motivates the main theme of this paper, which is to describe real applications of innovative transdisciplinary models and analyses in an effort to help move the research community closer toward identifying the causal mechanisms and associated environmental contexts underlying health disparities. The public health exposome is used as a contemporary focus for addressing the complex nature of this subject.

Opportunities to address lung cancer disparities among African Americans

Race and socioeconomic status are well known to influence lung cancer incidence and mortality patterns in the U.S. Lung cancer incidence and mortality rates are higher among blacks than whites. In this article we review opportunities to address disparities in lung cancer incidence, mortality, and survivorship among African Americans. First, we summarize recent advances in the early detection and treatment of lung cancer. Then we consider black-white disparities in lung cancer treatment including factors that may contribute to such disparities; the literature on smoking cessation interventions for patients with or without a lung cancer diagnosis; and the important roles played by cultural competency, patient trust in their physician, and health literacy in addressing lung cancer disparities, including the need for culturally competent lung cancer patient navigators. Intervention efforts should focus on providing appropriate quality treatment for lung cancer and educating African Americans about the value of having these treatments in order to reduce these disparities. Culturally competent, patient navigation programs are needed that support lung cancer patients, especially socioeconomically disadvantaged patients, from the point of diagnosis to the initiation and completion of treatment, including cancer staging.

Developing a cadre of transdisciplinary health disparities researchers for the 21st century

In the NIMHD-funded Health Disparities Research Center of Excellence at Meharry, faculty and scholars are trained to better address environmental health issues by integrating longitudinal, multi-systemic, spatially, and temporally referenced analytical methods. These methods include computational, multilevel, and spatial analyses through a transdisciplinary team model.

100% access, zero health disparities, and GIS: an improved methodology for designating health professions shortage areas

The (Health Professions Shortage Areas) HPSA designation process was developed as a mechanism to identify primary care shortage areas eligible for participation in specific federally funded programs including a 10% Medicare supplement, the National Health Service Corps, and health professions training programs. The purpose of this paper was to explore the utility of Geographic Information Systems (GIS) technology as an improved methodology for obtaining HPSA designation status for geographic areas. Results showed that GIS identified 24 Medical Services Study Areas (rational planning areas) in Los Angeles County that met the minimum 3500:1 population-to-primary-care physician ratio for geographic area HPSA designation compared to only three that currently are identified. Authors concluded that restructuring of the state/county responsibilities for HPSA designation is long overdue and that use of GIS as a required methodology would help ensure that all areas in any state that meet the intent of federal legislation are included.

Barriers to breast cancer control for African-American women: the interdependence of culture and psychosocial issues

BACKGROUND

This study evaluates the cultural context of the behaviors and beliefs of African-American women to determine the success or failure of breast cancer prevention and control interventions. Cultural and psychologic reactions, such as fear, distrust, fatalism, and other "historic rooted" factors, are major determinants to participation in these interventions by African-American women.

METHODS

Psychosocial and cultural issues were delineated through a literature review in the areas of cancer prevention, breast cancer control, and African-American women. Assessments were conducted to document key successful models and activities that increased the participation of African-American women in breast cancer prevention and control interventions. Current community-based intervention strategies and activities were assessed.

RESULTS

Effective breast cancer prevention and control programs must address and develop cultural competent models that promote behavioral change in this population of women.

CONCLUSIONS

Studying the relationship between culture and psychosocial issues is integral to our understanding of how African-American women participate and respond to cancer prevention and control interventions. Cultural competent models that reduce and eliminate cancer disparities in this population must be developed.