The Association of Oncology Provider Density With Black-White Disparities in Cancer Mortality in US Counties.

BACKGROUND: Black-White racial disparities in cancer mortality are well-documented in the US. Given the estimated shortage of oncologists over the next decade, understanding how access to oncology care might influence cancer disparities is of considerable importance. We aim to examine the association between oncology provider density in a county and Black-White cancer mortality disparities. METHODS: An ecological study of 1048 US counties was performed. Oncology provider density was estimated using the 2013 National Plan and Provider Enumeration System data. Black:White cancer mortality ratio was calculated using 2014-2018 age-standardized cancer mortality rates from State Cancer Profiles. Linear regression with covariate adjustment was constructed to assess the association of provider density with (1) Black:White cancer mortality ratio, and (2) cancer mortality rates overall, and separately among Black and White persons. RESULTS: The mean Black:White cancer mortality ratio was 1.12, indicating that cancer mortality rate among Black persons was on average 12% higher than that among White persons. Oncology provider density was significantly associated with greater cancer mortality disparities: every 5 additional oncology providers per 100 000 in a county was associated with a .02 increase in the Black:White cancer mortality ratio (95% CI: .007 to .03); however, the unexpected finding may be explained by further analysis showing that the relationship between oncology provider density and cancer mortality was different by race group. Every 5 additional oncologists per 100 000 was associated with a 1.6 decrease per 100 000 in cancer mortality rates among White persons (95% CI: -3.0 to -.2), whereas oncology provider density was not associated with cancer mortality among Black persons. CONCLUSION: Greater oncology provider density was associated with significantly lower cancer mortality among White persons, but not among Black persons. Higher oncology provider density alone may not resolve cancer mortality disparities, thus attention to ensuring equitable care is critical.

Our study provides timely information to address the growing concern about the need to increase oncology supply and the impact it might have on racial disparities in cancer outcomes. This analysis of counties across the US is the first study to estimate the association of oncology provider density with Black-White racial disparities in cancer mortality. We show that having more oncology providers in a county is associated with significantly lower cancer mortality among the White population, but is not associated with cancer mortality among the Black population, thereby leading to a disparity. Our findings suggest that having more oncology providers alone may be insufficient to overcome existing disadvantages for Black patients to access and use high-quality cancer care. These findings have important implications for addressing racial disparities in cancer outcomes that are persistent and well-documented in the US.

Moving Because of Unaffordable Housing and Disrupted Social Safety Net Access Among Children.

OBJECTIVES: To measure associations between residential moves because of unaffordable housing costs and disruptions in access to the Supplemental Nutrition Assistance Program; the Special Supplemental Nutrition Program for Women, Infants, and Children; and Medicaid in a health care-based sample of families with young children. METHODS: We used cross-sectional survey data on social safety net-eligible caregivers and children recruited into the Children's HealthWatch study from emergency departments and primary care clinics in Baltimore and Philadelphia (2011-2019). Children's HealthWatch measured residential moves (cost-driven and noncost-driven) in the past year and disruptions in safety net access. We used logistic regression to estimate associations between each type of move and disrupted access to social safety nets. RESULTS: Across 9344 children, cost-driven residential moves were associated with higher odds of disrupted access to at least 1 safety net program (Supplemental Nutrition Assistance Program; the Special Supplemental Nutrition Program for Women, Infants, and Children; or Medicaid; adjusted odds ratio 1.44; 95% confidence interval 1.16-1.80), as well as higher odds of disruption to each program separately. Noncost-driven moves were also associated with disruptions to at least 1 safety net program, but less strongly so (adjusted odds ratio 1.14; confidence interval 1.01-1.29; P value for comparison with cost-driven = .045). CONCLUSIONS: Residential moves, particularly cost-driven moves, are associated with social safety net benefit disruptions. The association between these events suggests a need for action to ensure consistent safety net access among children facing cost-driven moves and vice versa (ie, access to housing supports for children with disrupted safety net access).

Eviction as a community health exposure.

Evidence suggests that being evicted harms health. Largely ignored in the existing literature is the possibility that evictions exert community-level health effects, affecting evicted individuals' social networks and shaping broader community conditions. In this narrative review, we summarize evidence and lay out a theoretical model for eviction as a community health exposure, mediated through four paths: 1) shifting ecologies of infectious disease and health behaviors, 2) disruption of neighborhood social cohesion, 3) strain on social networks, and 4) increasing salience of eviction risk. We describe methods for parsing eviction's individual and contextual effects and discuss implications for causal inference. We conclude by addressing eviction's potentially multilevel consequences for policy advocacy and cost-benefit analyses.

School Attendance Following Receipt of Care From a School-Based Health Center.

PURPOSE: School-based health centers (SBHCs) may mitigate barriers to health care access and improve students' academic outcomes, but few studies test this hypothesis. We examined whether school attendance improved after students received care at an SBHC. METHODS: We conducted a secondary analysis of data from 17 SBHCs affiliated with a single large urban school district and demographic and attendance data from SBHC users (N = 14,030) and nonusers (N = 230,046) from August 2015-February 2020. We examined the percent of full school days present each month for three years before and after students' first SBHC visit and a proxy visit date for SBHC nonusers. Propensity weighted linear regression models tested whether visiting an SBHC was associated with a change in the attendance trajectory compared to a matched sample of SBHC nonusers. RESULTS: Among SBHC users, attendance trajectories declined more steeply prior to their first SBHC visit than after the first visit (preslope -0.71%, postslope -0.05%), whereas SBHC nonusers had a similar attendance trajectory over the entire period (preslope -0.18%, postslope -0.17%), with difference-in-difference 0.65. Changes in trajectories were more pronounced for students with a mental health encounter. Prior to the first SBHC mental health visit, SBHC users displayed a marked decline in monthly attendance (preslope -1.02%). After the first mental health visit, attendance increased (postslope 1.44%), with difference-in-difference 2.33. DISCUSSION: SBHC utilization was associated with improved school attendance over time, particularly for students with a mental health diagnosis. Investing in SBHCs may reduce school absenteeism and support student health.

County-Level Life Expectancy Change: A Novel Metric for Monitoring Public Health.

Life expectancy (LE) is a core measure of population health. Studies have confirmed the predictive importance of modifiable determinants on LE, but less is known about their association with LE change over time at the US county level. In addition, we explore the predictive association of LE change with COVID-19 mortality. We used a linear regression model to calculate county-level annual LE change from 2011 to 2016, and categorized LE change (≤-0.1 years change per year as decreasing, ≥0.1 years as increasing, otherwise no change). A multinomial regression model was used to determine the association between modifiable determinants of health indicators from the County Health Rankings and LE change. A Poisson regression model was used to evaluate the relationship between change in life expectancy and COVID-19 mortality through September 2021. Among 2943 counties, several modifiable determinants of health were significantly associated with odds of being in increasing LE or decreasing LE counties, including adult smoking, obesity, unemployment, and proportion of children in poverty. The presence of an increasing LE in 2011-2016, as compared to no change, was significantly associated with a 5% decrease in COVID-19 mortality between 2019 and 2021 (ß = 0.953, 95% CI: 0.943, 0.963). We demonstrated that change in LE at the county level is a useful metric for tracking public health progress, measuring the impact of public health initiatives, and gauging preparedness and vulnerability for future public health emergencies.

Building health equity through housing policies: critical reflections and future directions for research.

Housing may be at once the most powerful and underused tool at our disposal to improve population health. Using examples from the USA, we argue that current levels of housing insecurity are the result of clear and inequitable policy choices, leading to the entrenchment of health inequities-particularly, across race and class. Solutions to housing insecurity must, therefore, be structural. The COVID-19 pandemic has opened a window of opportunity for these structural housing policy reforms. Through justice- and action-oriented research, health researchers can inform the development and implementation of housing policies that advance health equity. We offer a series of recommendations to better position our field to achieve this goal.

Comparing Healthcare Utilization and Diagnoses in Immigrant Versus Nonimmigrant Youth.

INTRODUCTION: To inform efforts to provide healthcare to uninsurable, immigrant youth, we describe The Access Partnership (TAP) hospital-based charity care program and compare healthcare utilization and diagnoses among TAP and Medicaid patients. METHODS: We use propensity scores to match each TAP patient to three Medicaid patients receiving care at a pediatric clinic from October 2010 to June 2015 on demographic characteristics. We use descriptive statistics to compare healthcare visits and diagnoses. RESULTS: TAP (n = 78) and Medicaid patients (n = 234) had similar healthcare utilization, though Medicaid patients had more outpatient visits (10.8 vs. 7.7, p = .002), and TAP patients were more likely to have ever received subspecialty care (38.5% vs. 22.2%, p = .005). Diagnoses were similar between groups, with some exceptions: TAP patients more likely to present with genital and reproductive disease (33.3% vs. 19.7%, p = .013); Medicaid patients more likely to present with endocrine, metabolic, and nutritional disease (52.1% vs. 28.2%, p < .001), psychiatric, behavioral disease, and substance abuse (41.0, 26.9%, p = .026). CONCLUSIONS: TAP patients had similar healthcare utilization and diagnoses to matched sample of Medicaid patients. Findings indicate policy proposals that extend public health insurance to all children would likely benefit immigrant children and not incur higher costs than those of low-income U.S. citizen children.

Childhood eviction and cognitive development: Developmental timing-specific associations in an urban birth cohort.

Eviction upends children's lives and exacerbates deprivation; it remains largely unexamined as a determinant of cognitive development. We assess whether children evicted in infancy, early childhood, and middle childhood exhibit lower scores on four cognitive assessments (measuring executive function, mathematical reasoning, written language skills, and vocabulary skills) at age 9. Using linear regression and selection weights, we analyze longitudinal data from the Fragile Families and Child Wellbeing Study, a national, urban birth cohort (N = 1724 for eviction during infancy, 2126 for early childhood, 1979 for middle childhood). These stages of childhood follow the timing of FFCWS' data collection waves, with "infancy" data collected in the first year of life, "early childhood" in the third and fifth years of life, and "middle childhood" in the ninth year. In adjusted models, children evicted in middle childhood exhibited scores 0.20-0.43 SDs below similar children who were not (depending on the assessment; p-values = 0.004-0.055), the equivalent of as much as a full year of schooling. Point estimates of the association between eviction in infancy and 3/4 cognitive skills at age 9 were also large, but imprecisely estimated (between -0.25 and -0.28 SDs; p-values = 0.053-0.101), while point estimates for eviction in early childhood were near zero and statistically insignificant. Our large estimates for middle childhood and infancy, compared to earlier residential mobility studies, indicate downwardly mobile moves may exhibit more severe associations with future cognition. Estimates suggest preventing eviction may be a powerful, cost-effective way to safeguard children's cognitive development.

Variation in State-Level Eviction Moratorium Protections and Mental Health Among US Adults During the COVID-19 Pandemic.

Importance: Although evictions have been associated with adverse mental health outcomes, it remains unclear which stages of the eviction process are associated with mental distress among renters. Variation in COVID-19 pandemic eviction protections across US states enables identification of intervention targets within the eviction process to improve renters' mental health. Objective: To measure the association between the strength of eviction protections (ie, stages blocked by eviction moratoriums) and mental distress among renters during the COVID-19 pandemic. Design, Setting, and Participants: This cohort study used individual-level, nationally representative data from the Understanding Coronavirus in America Survey to measure associations between state eviction moratorium protections and mental distress. The sample of 2317 respondents included renters with annual household incomes less than $75 000 who reported a state of residence and completed surveys between March 10 and September 3, 2020, prior to the federal eviction moratorium order by the Centers for Disease Control and Prevention. Exposures: Time-varying strength of state moratorium protections as a categorical variable: none, weak (blocking court hearings, judgments, or enforcement without blocking notice or filing), or strong (blocking all stages of the eviction process beginning with notice and filing). Main Outcomes and Measures: Moderate to severe mental distress was measured using the 4-item Patient Health Questionnaire. Linear regression models were adjusted for time-varying state COVID-19 incidence and mortality, public health restrictions, and unemployment rates. Models included individual and time fixed effects as well as clustered standard errors. Results: The sample consisted of 2317 individuals (20 853 total observations) composed largely (1788 [78%] weighted) of middle-aged adults (25-64 years of age) and women (1538 [60%]); 640 respondents (23%) self-reported as Hispanic or Latinx, 314 respondents (20%) as non-Hispanic Black, and 1071 respondents (48%) as non-Hispanic White race and ethnicity. Relative to no state-level eviction moratorium protections, strong protections were associated with a 12.6% relative reduction (risk ratio, 0.87; 95% CI, 0.76-0.99) in the probability of mental distress, whereas weak protections were not associated with a statistically significant reduction (risk ratio, 0.96; 95% CI, 0.86-1.06). Conclusions and Relevance: This analysis of the Understanding Coronavirus in America Survey data found that strong eviction moratoriums were associated with protection against mental distress, suggesting that distress begins early in the eviction process with notice and filing. This finding is consistent with the idea that to reduce mental distress among renters, policy makers should focus on primary prevention of evictions.

Expiring Eviction Moratoriums and COVID-19 Incidence and Mortality.

The coronavirus disease 2019 (COVID-19) pandemic and associated economic crisis have placed millions of US households at risk of eviction. Evictions may accelerate COVID-19 transmission by decreasing individuals' ability to socially distance. We leveraged variation in the expiration of eviction moratoriums in US states to test for associations between evictions and COVID-19 incidence and mortality. The study included 44 US states that instituted eviction moratoriums, followed from March 13 to September 3, 2020. We modeled associations using a difference-in-difference approach with an event-study specification. Negative binomial regression models of cases and deaths included fixed effects for state and week and controlled for time-varying indicators of testing, stay-at-home orders, school closures, and mask mandates. COVID-19 incidence and mortality increased steadily in states after eviction moratoriums expired, and expiration was associated with a doubling of COVID-19 incidence (incidence rate ratio = 2.1; 95% confidence interval (CI): 1.1, 3.9) and a 5-fold increase in COVID-19 mortality (mortality rate ratio = 5.4; CI: 3.1, 9.3) 16 weeks after moratoriums lapsed. These results imply an estimated 433,700 excess cases (CI: 365,200, 502,200) and 10,700 excess deaths (CI: 8,900, 12,500) nationally by September 3, 2020. The expiration of eviction moratoriums was associated with increased COVID-19 incidence and mortality, supporting the public-health rationale for eviction prevention to limit COVID-19 cases and deaths.

A Web-Based Tool for Quantification of Potential Gains in Life Expectancy by Preventing Cause-Specific Mortality.

Introduction: Local health departments are currently limited in their ability to use life expectancy (LE) as a benchmark for improving community health. In collaboration with the Baltimore City Health Department, our aim was to develop a web-based tool to estimate the potential lives saved and gains in LE in specific neighborhoods following interventions targeting achievable reductions in preventable deaths. Methods: The PROLONGER (ImPROved LONGEvity through Reductions in Cause-Specific Deaths) tool utilizes a novel Lives Saved Simulation model to estimate neighborhood-level potential change in LE after specified reduction in cause-specific mortality. This analysis uses 2012-2016 deaths in Baltimore City residents; a 20% reduction in heart disease mortality is shown as a case study. Results: According to PROLONGER, if heart disease deaths could be reduced by 20% in a given neighborhood in Baltimore City, there could be up to a 2.3-year increase in neighborhood LE. The neighborhoods with highest expected LE increase are not the same as those with highest heart disease mortality burden or lowest overall life expectancies. Discussion: PROLONGER is a practical resource for local health officials in prioritizing scarce resources to improve health outcomes. Focusing programs based on potential LE impact at the neighborhood level could lend new information for targeting of place-based public health interventions.

Public Support for Policies to Increase Housing Stability During the COVID-19 Pandemic.

INTRODUCTION: The COVID-19 pandemic has exacerbated longstanding housing precarity. This study measures the public support for policies designed to increase housing stability and gauges whether support levels are associated with views about the role of evictions in COVID-19 transmission and the existence of racial inequities in the housing market. METHODS: A cross-sectional survey with a representative sample of U.S. adults in November 2020 assessed support for 4 housing policies. Logistic regression models estimated the adjusted levels of support for each policy, with separate models testing the association with whether or not a respondent recognized the role of evictions in increased COVID-19 transmission or acknowledged racial inequities in the housing market. RESULTS: Most U.S. adults supported policies aimed to increase housing stability during the COVID-19 pandemic, including extending moratoriums on evictions (63%) and foreclosures (67%) and increasing emergency rental assistance (63%). In total, 54% supported increased government spending on housing vouchers. Adults who agreed that averting eviction would slow COVID-19 transmission had higher support for housing stability policies, as did those who agreed that it was easier for White families to find affordable, high-quality housing than Black families. CONCLUSIONS: Support for housing stability policies was strong among U.S. adults, particularly among those who agreed that preventing evictions slowed COVID-19 transmission and among those who acknowledged racial inequities in the housing market. Raising public awareness of the connections among unstable housing, infectious disease transmission, and racial inequity could broaden the support for policies to keep people in their homes through the pandemic.

Elevated Mortality Among People Experiencing Homelessness With COVID-19.

We reviewed publicly available data from major US health jurisdictions to compare severe acute respiratory syndrome coronavirus 2 case fatality rates in people experiencing homelessness with the general population. The case fatality rate among people experiencing homelessness was 1.3 times (95% CI, 1.1-1.5) that of the general population, suggesting that people experiencing homelessness should be prioritized for vaccination.

Health Selection Into Eviction: Adverse Birth Outcomes and Children's Risk of Eviction Through Age 5 Years.

Adverse birth outcomes put children at increased risk of poor future health. They also put families under sudden socioeconomic and psychological strain, which has poorly understood consequences. We tested whether infants experiencing an adverse birth outcome-low birthweight or prematurity, as well as lengthy hospital stays-were more likely to be evicted in early childhood, through age 5 years. We analyzed 5,655 observations contributed by 2,115 participants in the Fragile Families and Child Wellbeing Study-a national, randomly sampled cohort of infants born in large US cities between 1998 and 2000-living in rental housing at baseline. We fitted proportional hazards models using piecewise logistic regression, controlling for an array of confounders and applying inverse probability of selection weights. Having been born low birthweight or preterm was associated with a 1.74-fold increase in children's hazard of eviction (95% confidence interval: 1.02, 2.95), and lengthy neonatal hospital stays were independently associated with a relative hazard of 2.50 (95% confidence interval: 1.15, 5.44) compared with uncomplicated births. Given recent findings that unstable housing during pregnancy is associated with adverse birth outcomes, our results suggest eviction and health may be cyclical and co-constitutive. Children experiencing adverse birth outcomes are vulnerable to eviction and require additional supports.

Severe Housing Insecurity during Pregnancy: Association with Adverse Birth and Infant Outcomes.

Introduction: Housing insecurity is increasingly commonplace among disadvantaged women and children. We measured the individual- and population-level impact of severe housing insecurity during pregnancy on adverse birth and infant outcomes. Methods: We analyzed data from 3428 mother-infant dyads enrolled in the Fragile Families and Child Wellbeing Study, a prospective cohort study representing births in 20 large U.S. cities from 1998 to 2000. Severe housing insecurity was defined as threatened eviction or homelessness during pregnancy. Outcomes included low birth weight and/or preterm birth, admission to a neonatal intensive care unit (NICU) or stepdown facility, extended hospitalization after delivery, and infant health and temperament. We estimated exposure-outcome associations with risk ratios adjusted for pre-pregnancy maternal sociodemographic and heath factors and calculated a population attributable fraction (PAF) of outcomes attributable to severe housing insecurity. Results: We found statistically significant associations between severe housing insecurity during pregnancy and low birth weight and/or preterm birth (risk ratio (RR] 1.73, 95% confidence interval (CI) 1.28, 2.32), NICU or stepdown stay (RR 1.64, CI 1.17, 2.31), and extended hospitalization (RR 1.66, CI 1.28, 2.16). Associations between housing insecurity and infant fair or poor health (RR 2.62, CI 0.91, 7.48) and poor temperament (RR 1.52, CI 0.98, 2.34) were not statistically significant. PAF estimates ranged from 0.9-2.7%, suggesting that up to three percent of adverse birth and infant outcomes could be avoided by eliminating severe housing insecurity among low-income, pregnant women in US cities. Conclusions: Results suggest that housing insecurity during pregnancy shapes neonatal and infant health in disadvantaged urban families.

Opioid-related overdose mortality in the era of fentanyl: Monitoring a shifting epidemic by person, place, and time.

BACKGROUND: With the emergence of illicit fentanyl, fentanyl-involved overdose rates increased from 2013 to 2017 in the United States (US). We describe US trends in opioid-related overdose mortality rates by race, age, urbanicity, and opioid type before and after the emergence of fentanyl. METHODS: Using the Centers for Disease Control and Prevention's WONDER database, we estimated crude and age-standardized opioid-related overdose mortality rates at the intersections of race (non-Hispanic [NH] Black and white), age (<55 and ≥55 years), sex (male and female) and urbanicity (urban and rural residence) from 2005 to 2017. We compare relative changes in mortality from 2013 to 17, and describe changes in the contributions of fentanyl, heroin, and other opioids to opioid-related overdose mortality. RESULTS: From 2013 to 2017, the overall opioid overdose mortality rate was consistently higher in NH white Americans, however, the rate increase was greater among NH Black (174 %) compared to NH white (85 %) Americans. The steepest increases occurred in the overdose rates between 2013 and 2017 among younger (aged <55 years) urban NH Black Americans (178 % increase). Among older (≥55 years) adults, only urban NH Black Americans had an increase in overdose-related mortality rate (87 % increase). Urban NH Black Americans also experienced the greatest increase in the percent of fentanyl-involved deaths (65 % in younger, 61 % in older). CONCLUSIONS: In the era of increased availability of illicitly manufactured fentanyl (2013-2017), there has been a disproportionate increase in opioid-related overdose deaths among urban NH Black Americans. Interventions for urban NH Black Americans are urgently needed to halt the increase in overdose deaths.