Developing a peer-led intervention to promote COVID-19 testing in low-income housing settings.

Background: The Housing Collaborative project at Eastern Virginia Medical School has developed a method of adapting public health guidance from public housing communities, which face tremendous health challenges in cardiometabolic health, cancer, and other major health conditions. In this paper, we describe how academic and community partners in the Housing Collaborative came together to do this work with a focus on COVID-19 testing in the context of the emerging pandemic. Methods: The academic team used virtual community engagement methods to interact with the Housing Collaborative Community Advisory Board (HCCAB) and a separate cohort of research participants (N = 102) recruited into a study of distrust in COVID-19 guidance. We conducted a series of 44 focus group interviews with participants on related topics. Results from these interviews were discussed with the HCCAB. We used the collaborative intervention planning framework to inform adaptation of public health guidance on COVID-19 testing delivered in low-income housing settings by including all relevant perspectives. Results: Participants reported several important barriers to COVID-19 testing related to distrust in the tests and those administering them. Distrust in housing authorities and how they might misuse positive test results seemed to further undermine decision making about COVID-19 testing. Pain associated with testing was also a concern. To address these concerns, a peer-led testing intervention was proposed by the Housing Collaborative. A second round of focus group interviews was then conducted, in which participants reported their approval of the proposed intervention. Conclusion: Although the COVID-19 pandemic was not our initial focus, we were able to identify a number of barriers to COVID-19 testing in low-income housing settings that can be addressed with adapted public health guidance. We struck a balance between community input and scientific rigor and obtained high quality, honest feedback to inform evidence-based recommendations to guide decisions about health.

A complex systems model of breast cancer etiology: The Paradigm II Model.

BACKGROUND: Complex systems models of breast cancer have previously focused on prediction of prognosis and clinical events for individual women. There is a need for understanding breast cancer at the population level for public health decision-making, for identifying gaps in epidemiologic knowledge and for the education of the public as to the complexity of this most common of cancers. METHODS AND FINDINGS: We developed an agent-based model of breast cancer for the women of the state of California using data from the U.S. Census, the California Health Interview Survey, the California Cancer Registry, the National Health and Nutrition Examination Survey and the literature. The model was implemented in the Julia programming language and R computing environment. The Paradigm II model development followed a transdisciplinary process with expertise from multiple relevant disciplinary experts from genetics to epidemiology and sociology with the goal of exploring both upstream determinants at the population level and pathophysiologic etiologic factors at the biologic level. The resulting model reproduces in a reasonable manner the overall age-specific incidence curve for the years 2008-2012 and incidence and relative risks due to specific risk factors such as BRCA1, polygenic risk, alcohol consumption, hormone therapy, breastfeeding, oral contraceptive use and scenarios for environmental toxin exposures. CONCLUSIONS: The Paradigm II model illustrates the role of multiple etiologic factors in breast cancer from domains of biology, behavior and the environment. The value of the model is in providing a virtual laboratory to evaluate a wide range of potential interventions into the social, environmental and behavioral determinants of breast cancer at the population level.

COVID-19 Stay-At-Home Orders and Secondhand Smoke in Public Housing.

INTRODUCTION: This study aimed to better understand the inequitable impact of the pandemic by examining the associations between stay-at-home orders and indoor smoking in public housing, measured by ambient particulate matter at the 2.5-micron threshold, a marker for secondhand smoke. METHODS: Particulate matter at the 2.5-micron threshold was measured in 6 public-housing buildings in Norfolk, VA from 2018 to 2022. Multilevel regression was used to compare the 7-week period of the Virginia stay-at-home order in 2020 with that period in other years. RESULTS: Indoor particulate matter at the 2.5-micron threshold was 10.29 µg/m3 higher in 2020 (95% CI=8.51, 12.07) than in the same period in 2019, a 72% increase. Although particulate matter at the 2.5-micron threshold improved in 2021 and 2022, it remained elevated relative to the level in 2019. CONCLUSIONS: Stay-at-home orders likely led to increased indoor secondhand smoke in public housing. In light of evidence linking air pollutants, including secondhand smoke, with COVID-19, these results also provide further evidence of the disproportionate impact of the pandemic on socioeconomically disadvantaged communities. This consequence of the pandemic response is unlikely to be isolated and calls for a critical examination of the COVID-19 experience to avoid similar policy failures in future public health crises.

Housing Insecurity Among Patients With Cancer.

Social determinants of health are the economic and environmental conditions under which people are born, live, work, and age that affect health. These structural factors underlie many of the long-standing inequities in cancer care and outcomes that vary by geography, socioeconomic status, and race and ethnicity in the United States. Housing insecurity, including lack of safe, affordable, and stable housing, is a key social determinant of health that can influence-and be influenced by-cancer care across the continuum, from prevention to screening, diagnosis, treatment, and survivorship. During 2021, the National Cancer Policy Forum of the National Academies of Science, Engineering, and Medicine sponsored a series of webinars addressing social determinants of health, including food, housing, and transportation insecurity, and their associations with cancer care and patient outcomes. This dissemination commentary summarizes the formal presentations and panel discussions from the webinar devoted to housing insecurity. It provides an overview of housing insecurity and health care across the cancer control continuum, describes health system interventions to minimize the impact of housing insecurity on patients with cancer, and identifies challenges and opportunities for addressing housing insecurity and improving health equity. Systematically identifying and addressing housing insecurity to ensure equitable access to cancer care and reduce health disparities will require ongoing investment at the practice, systems, and broader policy levels.

Racial Disparities in Breast Reconstruction at a Comprehensive Cancer Center.

INTRODUCTION: Breast reconstruction after a mastectomy is an important component of breast cancer care that improves the quality of life in breast cancer survivors. African American women are less likely to receive breast reconstruction than Caucasian women. The purpose of this study was to further investigate the reconstruction disparities we previously reported at a comprehensive cancer center by assessing breast reconstruction rates, patterns, and predictors by race. METHODS: Data were obtained from women treated with definitive mastectomy between 2000 and 2012. Sociodemographic, tumor, and treatment characteristics were compared between African American and Caucasian women, and logistic regression was used to identify significant predictors of reconstruction by race. RESULTS: African American women had significantly larger proportions of public insurance, aggressive tumors, unilateral mastectomies, and modified radical mastectomies. African American women had a significantly lower reconstruction rate (35% vs. 49%, p < 0.01) and received a larger proportion of autologous reconstruction (13% vs. 7%, p < 0.01) compared to Caucasian women. The receipt of adjuvant radiation therapy was a significant predictor of breast reconstruction in Caucasian but not African American women. CONCLUSIONS: We identified breast reconstruction disparities in rate and type of reconstruction. These disparities may be due to racial differences in sociodemographic, tumor, and treatment characteristics. The predictors of breast reconstruction varied by race, suggesting that the mechanisms underlying breast reconstruction may vary in African American women. Future research should take a target approach to examine the relative contributions of sociodemographic, tumor, and treatment determinants of the breast reconstruction disparities in African American women.

A Critical Theoretical Approach to Cancer Disparities: Breast Cancer and the Social Determinants of Health.

Breast cancer is the most commonly experienced cancer among women. Its high rates of incidence and survival mean that a number of women will live it for periods of their lifetimes. Group differences in breast cancer incidence and mortality occur by race and ethnicity. For example, while white women are slightly more likely to be diagnosed with breast cancer, Black women are 40% more likely to die from the disease. In this article, rather than focusing the discussion on individual-level factors like health behaviors that have the potential to blame Black women and those living in poverty for their conditions, we view breast cancer disparities through the lens of Critical Race Theory, taking a historical perspective. This allows us to delve beyond individual risk factors to explore social determinants of breast cancer disparities at the population level, paying special attention to the myriad ways in which social factors, notably views of race and discriminatory public policies, over time have contributed to the disproportionate breast cancer mortality experienced by Black women. We suggest ways of addressing breast cancer disparities, including methods of training healthcare professionals and public policy directions, that include rather than marginalize Black and lower socioeconomic status women.

Searching beyond the Lamppost to Reduce Breast Cancer Disparities.

Racial and ethnic differences in breast cancer occur by race/ethnicity in both incidence and mortality rates. Women of lower socioeconomic status likewise have poorer outcomes. When race alone is considered, incidence rates in the United States are highest among White women (130.8 per 100,000), with Black women close behind (126.7 per 100,000). Incidence is lowest among Asian/Pacific Islander women, at 93.2 per 100,000. Mortality differences are more pronounced, with Black women 40% more likely to die from breast cancer than White women (28.4 per 100,000 and 20.3 per 100,000, respectively). Mortality rates for Asian/Pacific Islander women (11.5 per 100,000) are far lower than for Black and White women. When age is considered, additional differences between Black and White women appear, in part accounted for by types of breast cancer experienced. Women of other racial/ethnic groups and socioeconomic status have received less scientific attention. In this article, we provide a brief overview of the evidence for social determinants of breast cancer and argue that the current reliance on race over racism and ethnicity contributes to our inability to eliminate breast cancer disparities in the United States and elsewhere in the world. We suggest alternatives to the current approach to research in breast cancer disparities.

Racial/Ethnic Differences in the Risk of Surgical Complications and Posthysterectomy Hospitalization among Women Undergoing Hysterectomy for Benign Conditions.

STUDY OBJECTIVE: Evaluate whether 30- and 90-day surgical complication and postoperative hospitalization rates after hysterectomy for benign conditions differ by race/ethnicity and whether the differences remain after controlling for patient, hospital, and surgical characteristics. DESIGN: Retrospective cohort study using administrative data. The exposure was race/ethnicity. The outcomes included 5 different surgical complications/categories and posthysterectomy inpatient hospitalization, all identified through 30 and 90 days after hysterectomy hospital discharge, with the exception of hemorrhage/hematoma, which was only identified through 30 days. To examine the association between race/ethnicity and each outcome, we used logistic regression with clustering of procedures within hospitals, adjusting for patient and hospital characteristics and surgical approach. SETTING: Multistate, including Florida and New York. PATIENTS: Women aged ≥18 years who underwent hysterectomy for benign conditions using State Inpatient Databases and State Ambulatory Surgery Databases. INTERVENTIONS: Hysterectomy for benign conditions. MEASUREMENTS AND MAIN RESULTS: We included 183 697 women undergoing hysterectomy for benign conditions from January 2011 to September 2014. In analysis, adjusting for surgery route and other factors, black race was associated with increased risk of 30-day digestive system complications (multivariable adjusted odds ratio [aOR], 1.98; 95% confidence interval [CI], 1.78-2.21), surgical-site infection (aOR, 1.34; 95% CI, 1.18-1.53), posthysterectomy hospitalization (aOR, 1.31; 95% CI, 1.22-1.40), and urologic complications (aOR, 1.16; 95% CI, 1.01-1.34) compared with white race. Asian/Pacific Islander race was associated with increased risk of 30-day urologic complications (aOR, 1.48; 95% CI, 1.08-2.03), intraoperative injury to abdominal/pelvic organs (aOR, 1.46; 95% CI, 1.23-1.75), and hemorrhage/hematoma (aOR, 1.33; 95% CI, 1.06-1.67) compared with white race. Hispanic ethnicity was associated with increased risk of 30-day posthysterectomy hospitalization (aOR, 1.11; 95% CI, 1.02-1.20) compared with white race. All findings were similar at 90 days. CONCLUSION: Black and Asian/Pacific Islander women had higher risk of some 30- and 90-day surgical complications after hysterectomy than white women. Black and Hispanic women had higher risk of posthysterectomy hospitalization. Intervention strategies aimed at identifying and better managing disparities in pre-existing conditions/comorbidities could reduce racial/ethnic differences in outcomes.

Transdisciplinary research outcomes based on the Transdisciplinary Research on Energetics and Cancer II initiative experience.

Intractable public health problems are influenced by interacting multi-level factors. Dynamic research approaches in which teams of scientists collaborate beyond traditional disciplinary, institutional, and geographic boundaries have emerged as promising strategies to address pressing public health priorities. However, little prior work has identified, defined, and characterized the outcomes of transdisciplinary (TD) research undertaken to address public health problems. Through a mixed methods approach, we identify, define, and characterize TD outcomes and their relevance to improving population health using the Transdisciplinary Research on Energetics and Cancer (TREC) II initiative as a case example. In Phase I, TREC II leadership (n = 10) identified nine initial TD outcomes. In Phase II (web-based survey; n = 23) and Phase III (interviews; n = 26; and focus groups, n = 23) TREC members defined and characterized each outcome. The resulting nine outcomes are described. The nine complementary TD outcomes can be used as a framework to evaluate progress toward impact on complex public health problems. Strategic investment in infrastructure that supports team development and collaboration, such as a coordination center, cross-center working groups, annual funded developmental projects, and face-to-face meetings, may foster achievement of these outcomes. This exploratory work provides a basis for the future investigation and development of quantitative measurement tools to assess the achievement of TD outcomes that are relevant to solving multifactorial public health problems.

Looking beyond the Lamppost: Population-Level Primary Prevention of Breast Cancer.

Although innovative and impactful interventions are necessary for the primary prevention of breast cancer, the factors influencing program adoption, implementation, and sustainment are key, yet remain poorly understood. Insufficient attention has been paid to the primary prevention of breast cancer in state and national cancer plans, limiting the impact of evidence-based interventions on population health. This commentary highlights the state of primary prevention of breast cancer and gaps in the current literature. As a way to enhance the reach and adoption of cancer prevention policies and programs, the utility of dissemination and implementation (D&I) science is highlighted. Examples of how D&I could be applied to study policies and programs for chronic disease prevention are described, in addition to needs for future research. Through application of D&I science and a strong focus on health equity, a clearer understanding of contextual factors influencing the success of prevention programs will be achieved, ultimately impacting population health.

Shift Work and Breast Cancer.

The rates of shift work outside of daylight hours have increased in recent years, and nighttime shift work is now considered a potential carcinogenic occupational exposure. Light at night exposure, lower melatonin production, and the production of stress-related mediators disrupt normal sleep-wake cycles. Women who work lower-wage jobs and part-time workers whose shifts are determined entirely by their supervisors (rotating shifts) may be subject to stress related to efforts to align childcare and other needs with the unpredictable nature of rotating shift work. The causal link between breast cancer and the sleep cycle or circadian disruption are yet to be established; however, disruption of the circadian cycles by light at night exposure or chronic exposure to stress-related mediators have all been linked to the increased risk of breast cancer. We review the existing literature on shift work and breast cancer, identify knowledge gaps, and suggest future directions for research.

Racial/Ethnic Disparities/Differences in Hysterectomy Route in Women Likely Eligible for Minimally Invasive Surgery.

STUDY OBJECTIVE: Evaluate racial/ethnic variation in hysterectomy surgical route in women likely eligible for minimally invasive hysterectomy. DESIGN: Cross-sectional study. SETTING: Multistate including Colorado, Florida, Maryland, New Jersey, and New York. PATIENTS: Women aged ≥18 years without diagnoses of leiomyomas, obesity, or previous abdominopelvic surgery who underwent hysterectomy for benign conditions from the State Inpatient and Ambulatory Surgery Databases, 2010-2014. INTERVENTIONS: None. Primary exposure is race/ethnicity. MEASUREMENTS AND MAIN RESULTS: Racial/ethnic variation in annual hysterectomy rates and surgical route. To calculate hysterectomy rates per 100 000 women/year, denominators were adjusted for the proportion of women with previous hysterectomy. A marginal structural log binomial regression model was used to estimate adjusted standardized prevalence ratios (aPRs) for vaginal or laparoscopic vs abdominal hysterectomy, controlling for clustering within hospitals. In addition, hospitals were stratified into quintiles to examine surgical route in hospitals that serve a higher vs lower proportion of African American patients. A total of 133 082 adult women underwent hysterectomy for benign conditions from 2010 to 2014. Annual laparoscopic rates increased more slowly for African Americans (1.6-fold) than for whites (1.8-fold) and Hispanics (1.9-fold). African American and Hispanic women were less likely to undergo vaginal (aPR = 0.93; 95% confidence interval [CI], 0.90-0.96 and aPR = 0.95; 95% CI 0.93-0.97, respectively) and laparoscopic hysterectomy (aPR = 0.90; 95% CI, 0.87-0.94 and aPR = 0.95; 95% CI, 0.92-0.98, respectively) than white women; Asian/Pacific Islander women were less likely to undergo vaginal hysterectomy (aPR = 0.88; 95% CI, 0.81-0.96). Hospitals serving a higher proportion of African American persons performed more abdominal and fewer vaginal procedures across all groups, and more racial/ethnic minority women sought care at those hospitals than white women. CONCLUSION: African American, Hispanic, and Asian/Pacific Islander women eligible for minimally invasive hysterectomy were more likely than white women to receive abdominal hysterectomy. The proportion of all women undergoing abdominal hysterectomy was highest at hospitals serving higher proportions of African American persons. This difference in treatment type can lead to disparities in outcomes, in part owing to their association with complications.

Challenges Associated With Living Remotely From a Pediatric Cancer Center: A Qualitative Study.

PURPOSE: Pediatric patients with cancer who live in rural communities face disparate access to medical services compared with those in urban areas. Our objectives were to use qualitative methods to describe how living in a rural setting during receipt of treatment at an urban cancer center affects a patient's clinical course and to identify feasible areas of intervention to enhance service to these families. MATERIALS AND METHODS: We conducted semistructured interviews of caregivers of pediatric patients with cancer who received treatment at an urban pediatric hospital in the Midwest. Questions focused on how distance between home residence and cancer-treating hospital affected cancer treatment. RESULTS: Eighteen caregiver interviews were conducted. Five multithemed domains were identified; two related to receipt of emergent care at local hospitals, one related to the impact that distance had on the family, and two related to managing and coping with a pediatric cancer diagnosis. CONCLUSION: Rural families of pediatric patients with cancer face unique challenges in addition to those previously identified for pediatric patients with cancer, most notably increased travel time to their cancer centers and increased time spent in community hospitals to receive emergent care. We recommend feasible steps to improve the care of rural children with cancer, including improved parental anticipatory guidance about unanticipated emergent visits to local hospitals, outreach to local hospitals, and medical visit coordination.

Social factors matter in cancer risk and survivorship.

Greater attention to social factors, such as race/ethnicity, socioeconomic position, and others, are needed across the cancer continuum, including breast cancer, given differences in tumor biology and genetic variants have not completely explained the persistent Black/White breast cancer mortality disparity. In this commentary, we use examples in breast cancer risk assessment and survivorship to demonstrate how the failure to appropriately incorporate social factors into the design, recruitment, and analysis of research studies has resulted in missed opportunities to reduce persistent cancer disparities. The conclusion offers recommendations for how to better document and use information on social factors in cancer research and care by (1) increasing education and awareness about the importance of inclusion of social factors in clinical research; (2) improving testing and documentation of social factors by incorporating them into journal guidelines and reporting stratified results; and (3) including social factors to refine extant tools that assess cancer risk and assign cancer care. Implementing the recommended changes would enable more effective design and implementation of interventions and work toward eliminating cancer disparities by accounting for the social and environmental contexts in which cancer patients live and are treated.

Smokers' unprompted comments on cigarette additives during conversations about the genetic basis for nicotine addiction: a focus group study.

BACKGROUND: Research designed to elicit smokers' cognitive and affective reactions to information about chemicals that tobacco companies add to cigarettes ("additives") found that knowledge is limited. However, little is known about smokers' unprompted thoughts and feelings about additives. Such information could be used to shape future communication efforts. We explored the content and possible functions of spontaneous statements about cigarette additives made by smokers during a study examining reactions to learning about the genetic link to nicotine addiction. METHODS: Adult smokers (N = 84) were recruited from a medium-sized Midwestern city. Focus groups (N = 13) were conducted between April-September 2012. Data were analyzed by 2 coders using thematic analysis. RESULTS: Comments about cigarette additives arose without prompting by the focus group moderator. Three main themes were identified: (1) discussing additives helped participants navigate the conceptual link between smoking and genetics, (2) additives were discussed as an alternative mechanism for addiction to cigarettes, and (3) additives provided an alternative mechanism by which cigarette smoking exacerbates physical harm. Notably, discussion of additives contained a pervasive tone of mistrust illustrated by words like "they" and "them," by statements of uncertainty such as "you don't know what they're putting into cigarettes," and by negative affective verbalizations such as "nasty" and "disgusting". CONCLUSIONS: Participants had distinct beliefs about cigarette additives, each of which seemed to serve a purpose. Although mistrust may complicate communication about the health risks of tobacco use, health communication experts could use smokers' existing beliefs and feelings to better design more effective anti-smoking messages.

Combining Community-Engaged Research with Group Model Building to Address Racial Disparities in Breast Cancer Mortality and Treatment.

Although patterns of African American and white women breast cancer incidence and mortality in St. Louis, Missouri is consistent with those seen elsewhere in the United States, rates vary greatly across zip codes within the city of St. Louis. North St. Louis, whose neighborhoods are primarily African American, exhibits rates of breast cancer mortality that are among the highest in the city and the state as a whole. Based on information that up to 50% of women in North St. Louis with a suspicious diagnosis of breast cancer never enter treatment, we conducted three 2-hour group model building sessions with 34 community stakeholders (e.g., breast cancer survivors or family members or caregivers and community support members such as navigators) to identify the reasons why African American women do not begin or delay breast cancer treatment. Participant sessions produced a very rich and dynamic causal loop diagram of the system producing disparities in breast cancer mortality in St. Louis. The diagram includes 8 major subsystems, causal links between system factors, and feedback loops, all of which shed light on treatment delays/initiation. Our work suggests that numerous intersecting factors contribute to not seeking treatment, which in turn may contribute to African American and white disparities in mortality.

"I don't believe it." Acceptance and skepticism of genetic health information among African-American and White smokers.

RATIONALE: Effective translation of genomics research into practice depends on public acceptance of genomics-related health information. OBJECTIVE: To explore how smokers come to accept or reject information about the relationship between genetics and nicotine addiction. METHODS: Thirteen focus groups (N = 84) were stratified by education (seven < Bachelor's degree, six ≥ Bachelor's degree) and race (eight black, five white). Participants viewed a 1-min video describing the discovery of a genetic variant associated with increased risk of nicotine addiction and lung cancer. Next, they provided their opinions about the information. Two coders analyzed the data using grounded theory. RESULTS: Pre-video knowledge about why people smoke cigarettes and what genetic risk means informed beliefs about the relationship between genes and addiction. These beliefs were not always consistent with biomedical explanations, but formed the context through which participants processed the video's information. This, in turn, led to information acceptance or skepticism. Participants explained their reactions in terms of the scientific merits of the research and used their existing knowledge and beliefs to explain their acceptance of or skepticism about the information. CONCLUSION: Laypeople hold complex understandings of genetics and addiction. However, when lay and biomedical explanations diverge, genetics-related health information may be rejected.

Telomere Length and Neighborhood Circumstances: Evaluating Biological Response to Unfavorable Exposures.

Background: Multilevel frameworks suggest neighborhood circumstances influence biology; however, this relationship is not well studied. Telomere length (TL) shortening has been associated with individual-level and neighborhood-level exposures and disease and may provide insights into underlying biologic mechanisms linking neighborhood with biology. To support neighborhood-biology investigations, we sought to determine the independent effect of neighborhood exposures on TL using standard multilevel linear regression models and quantile regression, a nonlinear, social science method applicable for testing the biologic hypothesis that extremes of the TL distribution are related to poor outcomes.Methods: In a multicenter, cross-sectional study, blood TL was measured in 1,488 individuals from 127 census tracts in three U.S. regions using terminal restriction fragment assays. Multilevel linear and quantile regression models were adjusted for individual-level race, education, perceived stress, and depression. Neighborhood exposures included population density, urban/residential crowding, residential stability/mobility, and socioeconomic status.Results: TL was not associated with any neighborhood variable using linear models, but quantile regression revealed inverse associations between population density and urban crowding at the lower tails of the TL distribution [5th (population density P = 0.03; urban crowding P = 0.002), 50th (both P < 0.001), 75th percentiles (both P < 0.001)]. TL was related to residential stability at the upper tail (95th percentile P = 0.006).Conclusions: Findings support the use of nonlinear statistical methods in TL research and suggest that neighborhood exposures can result in biological effects.Impact: TL may serve as an underlying example of a biologic mechanism that can link neighborhood with biology, thus supporting multilevel investigations in future studies. Cancer Epidemiol Biomarkers Prev; 26(4); 553-60. ©2017 AACRSee all the articles in this CEBP Focus section, "Geospatial Approaches to Cancer Control and Population Sciences."