Examining Excess Mortality Associated With the COVID-19 Pandemic for Renters Threatened With Eviction.

Importance: Residential evictions may have increased excess mortality associated with the COVID-19 pandemic. Objective: To estimate excess mortality associated with the COVID-19 pandemic for renters who received eviction filings (threatened renters). Design, Setting, and Participants: This retrospective cohort study used an excess mortality framework. Mortality based on linked eviction and death records from 2020 through 2021 was compared with projected mortality estimated from similar records from 2010 through 2016. Data from court records between January 1, 2020, and August 31, 2021, were collected via the Eviction Lab's Eviction Tracking System. Similar data from court records between January 1, 2010, and December 31, 2016, also collected by the Eviction Lab, were used to estimate projected mortality during the pandemic. We also constructed 2 comparison groups: all individuals living in the study area and a subsample of those individuals living in high-poverty, high-filing tracts. Exposures: Eviction filing. Main Outcomes and Measures: All-cause mortality in a given month. The difference between observed mortality and projected mortality was used as a measure of excess mortality associated with the pandemic. Results: The cohort of threatened renters during the pandemic period consisted of 282 000 individuals (median age, 36 years [IQR, 28-47]). Eviction filings were 44.7% lower than expected during the study period. The composition of threatened renters by race, ethnicity, sex, and socioeconomic characteristics during the pandemic was comparable with the prepandemic composition. Expected cumulative age-standardized mortality among threatened renters during this 20-month period of the pandemic was 116.5 (95% CI, 104.0-130.3) per 100 000 person-months, and observed mortality was 238.6 (95% CI, 230.8-246.3) per 100 000 person-months or 106% higher than expected. In contrast, expected mortality for the population living in similar neighborhoods was 114.6 (95% CI, 112.1-116.8) per 100 000 person-months, and observed mortality was 142.8 (95% CI, 140.2-145.3) per 100 000 person-months or 25% higher than expected. In the general population across the study area, expected mortality was 83.5 (95% CI, 83.3-83.8) per 100 000 person-months, and observed mortality was 91.6 (95% CI, 91.4-91.8) per 100 000 person-months or 9% higher than expected. The pandemic produced positive excess mortality ratios across all age groups among threatened renters. Conclusions and Relevance: Renters who received eviction filings experienced substantial excess mortality associated with the COVID-19 pandemic.

Public Benefit Programs and Differential Associations With Child Maltreatment by Race and Ethnicity.

Importance: Public benefit programs, including state spending on local, state, and federal-state partnership programs, have consistently been associated with overall reductions in child protective services (CPS) involvement. Inequities in eligibility and access to benefit programs may contribute to varying associations by race and ethnicity. Objective: To determine whether associations between state spending on benefit programs and rates of CPS investigations differ by race and ethnicity. Design, Setting, and Participants: This cross-sectional ecological study used repeated state-level measures of child maltreatment from the National Child Abuse and Neglect Data System and population estimates from the US Census Bureau for all Black, Hispanic, and White children. All 50 US states from October 1, 2009, through September 30, 2019 (fiscal years 2010-2019), were included. Data were collected and analyzed from May 13, 2022, to March 2, 2023. Exposures: Annual state spending on benefit programs per person living below the federal poverty limit, total and by the following subcategories: (1) cash, housing, and in-kind; (2) housing infrastructure; (3) child care assistance; (4) refundable earned income tax credit; and (5) medical assistance programs. Main Outcomes and Measures: Race- and ethnicity-specific rates of CPS investigations. Generalized estimating equations, with repeated measures of states, an interaction between race and spending, and estimated incidence rate ratios (IRRs) and 95% CIs for incremental changes in spending of US $1000 per person living below the federal poverty limit were calculated after adjustment for federal spending, race- and ethnicity-specific child poverty rate, and year. Results: A total of 493 state-year observations were included in the analysis. The association between total spending and CPS investigations differed significantly by race and ethnicity: there was an inverse association between total state spending and CPS investigations for White children (IRR, 0.94 [95% CI, 0.91-0.98]) but not for Black children (IRR, 0.98 [95% CI, 0.94-1.02]) or Hispanic children (IRR, 0.99 [95% CI, 0.95-1.03]) (P = .02 for interaction). Likewise, inverse associations were present for only White children with respect to all subcategories of state spending and differed significantly from Black and Hispanic children for all subcategories except the refundable earned income tax credit (eg, IRR for medical assistance programs for White children, 0.89 [95% CI, 0.82-0.96]; P = .005 for race and spending interaction term). Conclusions and Relevance: These results raise concerns that benefit programs may add relative advantages for White children compared with Black and Hispanic children and contribute to racial and ethnic disparities in CPS investigations. States' eligibility criteria and distribution practices should be examined to promote equitable effects on adverse child outcomes.

Ending extreme poverty has a negligible impact on global greenhouse gas emissions.

Growing consumption is both necessary to end extreme poverty1and one of the main drivers of greenhouse gas emissions2, creating a potential tension between alleviating poverty and limiting global warming. Most poverty reduction has historically occurred because of economic growth3-6, which means that reducing poverty entails increasing not only the consumption of people living in poverty but also the consumption of people with a higher income. Here we estimate the emissions associated with the economic growth needed to alleviate extreme poverty using the international poverty line of US $2.15 per day (ref. 7). Even with historical energy- and carbon-intensity patterns, the global emissions increase associated with alleviating extreme poverty is modest, at 2.37 gigatonnes of carbon dioxide equivalent per year or 4.9% of 2019 global emissions. Lower inequality, higher energy efficiency and decarbonization of energy can ease this tension further: assuming the best historical performance, the emissions for poverty alleviation in 2050 will be reduced by 90%. More ambitious poverty lines require more economic growth in more countries, which leads to notably higher emissions. The challenge to align the development and climate objectives of the world is not in reconciling extreme poverty alleviation with climate objectives but in providing sustainable middle-income standards of living.

Modeling Poverty and Health for Native Hawaiian and Pacific Islander and Asian Ethnic Populations.

This study examined differences in poverty and health among Native Hawaiians and Pacific Islanders (NHPI) and 6 disaggregated Asian ethnic subgroups and an aggregated Other Asian category. Participants were followed longitudinally for 2 years using data from 2009 to 2019 from the Current Population Survey, a monthly survey conducted by the Census Bureau. Having 2 years of data enabled the study to assess both prevalence of poverty and fair/poor health in only 1 of the 2 years and in both years. For NHPI, 13.5% were in poverty 1of the 2 years and 7.1% in both years. Asian ethnicities showed high variability ranging from a low of 6.4% for 1 year and 1.9% for 2 years among Asian Indians to 16.0% for 1 year and 6.3% for 2 years among Vietnamese. Fair/poor health also showed ethnic variability, made most apparent after age-sex adjustment in regression models. For poverty, after adjustment, Asian Indians, Filipinos and Japanese had significantly lower odds of being in poverty at least 1 year than NHPI. For having fair/poor health, Asian Indians and Japanese experienced lower odds than NHPI for both 1 and 2 years and Filipinos for 1 year, after age/sex adjustment. The results emphasize the diversity of Asian and Pacific Islander populations, the variability of poverty over time, and the importance of using disaggregated data to understand ethnic differences in poverty and health. These findings can be used to inform future modeling of social determinants on poverty and health among NHPI and Asian subgroups.

School-Based Health Centers, Access to Care, and Income-Based Disparities.

Importance: School-based health centers (SBHCs) are primary care clinics colocated at schools. SBHCs have the potential to improve health care access and reduce disparities, but there is limited rigorous evidence on their effectiveness at the national level. Objective: To determine whether county-level adoption of SBHCs was associated with access, utilization, and health among children from low-income families and to measure reductions in income-based disparities. Design, Setting, and Participants: This survey study used a difference-in-differences design and data from a nationally representative sample of children in the US merged with SBHC indicators from the National Census of School-Based Health Centers. The main sample included children aged 5 to 17 years with family incomes that were less than 200% of the federal poverty level observed in the National Health Interview Survey, collected between 1997 to 2018. The sample was restricted to children living in a county that adopted a center between 2003 and 2013 or that did not have a center at any time during the study period. Analyses of income-based disparities included children from higher income families (ie, 200% or higher than the federal poverty level). Data were analyzed between January 2020 and July 2023. Exposure: County-by-year SBHC adoption. Main Outcomes and Measures: Outcomes included access (usual source of care, insurance status, barriers), ambulatory care use (general physician, eye doctor, dental, mental health visits), and health (general health status, missed school days due to illness). P values were adjusted for multiple comparisons using the sharpened q value method. Results: This study included 12 624 unweighted children from low-income families and 24 631 unweighted children from higher income families. The weighted percentage of children in low-income families who resided in counties with SBHC adoption included 50.0% aged 5 to 10 years. The weighted percentages of the race and ethnicity of these children included 36.7% Hispanic children, 25.2% non-Hispanic Black children, and 30.6% non-Hispanic White children. The weighted percentages of children in the counties that never adopted SBHCs included 50.1% aged 5 to 10 years. The weighted percentages of the race and ethnicity of these children included 20.7% Hispanic children, 22.4% non-Hispanic Black children, and 52.9% non-Hispanic White children. SBHC adoption was associated with a 6.4 percentage point increase in dental visits (95% CI, 3.2-9.6 percentage points; P < .001), an 8.0 percentage point increase in having a usual source of care (95% CI, 4.5-11.5 percentage points; P < .001), and a 5.2 percentage point increase in insurance (95% CI, 1.2-9.2 percentage points; P = .03). No other statistically significant associations were found with other outcomes. SBHCs were associated with relative reductions in income-based disparities to dental visits by 76% (4.9 percentage points; 95% CI, 2.0-7.7 percentage points), to insured status by 63% (3.5 percentage points; 95% CI, 1.3-5.7 percentage points), and to having a usual source of care by 98% (7.2 percentage points; 95% CI, 5.4-9.1 percentage points). Conclusions and Relevance: In this survey study with difference-in-differences analysis of SBHC adoption, SBHCs were associated with access to care and reduced income-based disparities. These findings support additional SBHC expansion.

Cardiovascular Disease Burden and Outcomes Among American Indian and Alaska Native Medicare Beneficiaries.

Importance: American Indian and Alaska Native persons face significant health disparities; however, data regarding the burden of cardiovascular disease in the current era is limited. Objective: To determine the incidence and prevalence of cardiovascular disease, the burden of comorbid conditions, including cardiovascular disease risk factors, and associated mortality among American Indian and Alaska Native patients with Medicare insurance. Design, Setting, and Participants: This was a population-based cohort study conducted from January 2015 to December 2019 using Medicare administrative data. Participants included American Indian and Alaska Native Medicare beneficiaries 65 years and older enrolled in both Medicare part A and B fee-for-service Medicare. Statistical analyses were performed from November 2022 to April 2023. Main Outcomes and Measures: The annual incidence, prevalence, and mortality associated with coronary artery disease (CAD), heart failure (HF), atrial fibrillation/flutter (AF), and cerebrovascular disease (stroke or transient ischemic attack [TIA]). Results: Among 220 598 American Indian and Alaska Native Medicare beneficiaries, the median (IQR) age was 72.5 (68.5-79.0) years, 127 402 were female (57.8%), 78 438 (38.8%) came from communities in the most economically distressed quintile in the Distressed Communities Index. In the cohort, 44.8% of patients (98 833) were diagnosed with diabetes, 61.3% (135 124) were diagnosed with hyperlipidemia, and 72.2% (159 365) were diagnosed with hypertension during the study period. The prevalence of CAD was 38.6% (61 125 patients) in 2015 and 36.7% (68 130 patients) in 2019 (P < .001). The incidence of acute myocardial infarction increased from 6.9 per 1000 person-years in 2015 to 7.7 per 1000 patient-years in 2019 (percentage change, 4.79%; P < .001). The prevalence of HF was 22.9% (36 288 patients) in 2015 and 21.4% (39 857 patients) in 2019 (P < .001). The incidence of HF increased from 26.1 per 1000 person-years in 2015 to 27.0 per 1000 person-years in 2019 (percentage change, 4.08%; P < .001). AF had a stable prevalence of 9% during the study period (2015: 9.4% [14 899 patients] vs 2019: 9.3% [25 175 patients]). The incidence of stroke or TIA decreased slightly throughout the study period (12.7 per 1000 person-years in 2015 and 12.1 per 1000 person-years in 2019; percentage change, 5.08; P = .004). Fifty percent of patients (110 244) had at least 1 severe cardiovascular condition (CAD, HF, AF, or cerebrovascular disease), and the overall mortality rate for the cohort was 19.8% (43 589 patients). Conclusions and Relevance: In this large cohort study of American Indian and Alaska Native patients with Medicare insurance in the US, results suggest a significant burden of cardiovascular disease and cardiometabolic risk factors. These results highlight the critical need for future efforts to prioritize the cardiovascular health of this population.

State Public Insurance Coverage Policies and Postpartum Care Among Immigrants.

Importance: Professional medical organizations recommend that adults receive routine postpartum care. Yet, some states restrict public insurance coverage for undocumented immigrants and recently documented immigrants (those who received legal documentation status within the past 5 years). Objective: To examine the association between public insurance coverage and postpartum care among low-income immigrants and the difference in receipt of postpartum care among immigrants relative to nonimmigrants. Design, Setting, and Participants: A pooled, cross-sectional analysis was conducted using data from the Pregnancy Risk Assessment Monitoring System for 19 states and New York City including low-income adults with a live birth between 2012 and 2019. Exposure: Giving birth in a state that offered public insurance coverage for postpartum care to recently documented or undocumented immigrants. Main Outcomes and Measures: Self-reported receipt of postpartum care by the category of coverage offered (full coverage: states that offered publicly funded postpartum care regardless of immigration status; moderate coverage: states that offered publicly funded postpartum care to lawfully residing immigrants without a 5-year waiting period, but did not offer postpartum care to undocumented immigrants; no coverage: states that did not offer publicly funded postpartum care to lawfully present immigrants before 5 years of legal residence or to undocumented immigrants). Results: The study included 72 981 low-income adults (20 971 immigrants [29%] and 52 010 nonimmigrants [71%]). Of the 19 included states and New York City, 6 offered full coverage, 9 offered moderate coverage, and 4 offered no coverage; 1 state (Oregon) switched from offering moderate coverage to offering full coverage. Compared with the states that offered full coverage, receipt of postpartum care among immigrants was 7.0-percentage-points lower (95% CI, -10.6 to -3.4 percentage points) in the states that offered moderate coverage and 11.3-percentage-points lower (95% CI, -13.9 to -8.8 percentage points) in the states that offered no coverage. The differences in the receipt of postpartum care among immigrants relative to nonimmigrants were also associated with the coverage categories. Compared with the states that offered full coverage, there was a 3.3-percentage-point larger difference (95% CI, -5.3 to -1.4 percentage points) in the states that offered moderate coverage and a 7.7-percentage-point larger difference (95% CI, -10.3 to -5.0 percentage points) in the states that offered no coverage. Conclusions and Relevance: Compared with states without insurance restrictions, immigrants living in states with public insurance restrictions were less likely to receive postpartum care. Restricting public insurance coverage may be an important policy-driven barrier to receipt of recommended pregnancy care and improved maternal health among immigrants.

Women's Economic Mobility and Small for Gestational Age Rates: The Effect of Paternal Early-Life Socioeconomic Position.

OBJECTIVE: To determine whether paternal early-life socioeconomic position (defined by neighborhood income) modifies the association of maternal economic mobility and infant small for gestational age (weight for gestational age < 10th percentile, SGA) rates. METHODS: Stratified and multilevel binomial regression analyses were executed on the Illinois transgenerational dataset of parents (born 1956-1976) and their infants (born 1989-1991) with appended U.S. census income information. Only Chicago-born women with an early-life residence in impoverished or affluent neighborhoods were studied. RESULTS: The incidence of impoverished-born women's upward economic mobility among births (n = 3777) with early-life low socioeconomic position (SEP) fathers was less than that of those (n = 576) with early-life high SEP fathers: 56% vs 71%, respectively, p < 0.01. The incidence of affluent-born women's downward economic mobility among births (n = 2370) with early-life low SEP fathers exceeded that of those (n = 3822) with early-life high SEP fathers: 79% vs 66%, respectively, p < 0.01. The adjusted RR of infant SGA for maternal upward (compared to lifelong impoverishment) economic mobility among fathers with early-life low and high SEP equaled 0.68 (0.56, 0.82) and 0.81 (0.47, 1.42), respectively. The adjusted RR of infant SGA for maternal downward (compared to lifelong residence in affluent neighborhoods) economic mobility among fathers with early-life low and high SEP were 1.37 (0.91, 2.05) and 1.17 (0.86, 1.59), respectively. CONCLUSIONS: Paternal early-life SEP is associated with maternal economic mobility (both upward and downward); however, it does not modify the relationship between maternal economic mobility and infant SGA rates.

Has the relationship between community poverty and child maltreatment report rates become stronger or weaker over time?

BACKGROUND: Poverty is among the most powerful predictors of child maltreatment risk and reporting. To date, however, there have been no studies assessing the stability of this relationship over time. OBJECTIVE: To examine whether the county-level relationship between child poverty rates and child maltreatment report (CMR) rates changed over time in the United States in 2009-2018, overall and across of child age, sex, race/ethnicity, and maltreatment type. PARTICIPANTS AND SETTING: U.S. Counties in 2009-2018. METHODS: Linear multilevel models estimated this relationship and its longitudinal change, while controlling for potential confounding variables. RESULTS: We found that the county-level relationship between child poverty rates and CMR rates had intensified almost linearly from 2009 to 2018. Per one-percentage-point increase in child poverty rates, CMR rates significantly increased by 1.26 per 1000 children in 2009 and by 1.74 per 1000 children in 2018, indicating an almost 40 % increase in the poverty-CMR relationship. This increasing trend was also found within all subgroups of child age and sex. This trend was found among White and Black children, but not among Latino children. This trend was strong among neglect reports, weaker among physical abuse reports, and not found among sexual abuse reports. CONCLUSIONS: Our findings highlight the continued, perhaps increasing importance of poverty as a predictor of CMR. To the degree that our findings can be replicated, they could be interpreted as supporting an increased emphasis on reducing child maltreatment incidents and reports through poverty amelioration efforts and the provision of material family supports.

The effects of cash transfers on adult and child mortality in low- and middle-income countries.

Poverty is an important social determinant of health that is associated with increased risk of death1-5. Cash transfer programmes provide non-contributory monetary transfers to individuals or households, with or without behavioural conditions such as children's school attendance6,7. Over recent decades, cash transfer programmes have emerged as central components of poverty reduction strategies of many governments in low- and middle-income countries6,7. The effects of these programmes on adult and child mortality rates remains an important gap in the literature, however, with existing evidence limited to a few specific conditional cash transfer programmes, primarily in Latin America8-14. Here we evaluated the effects of large-scale, government-led cash transfer programmes on all-cause adult and child mortality using individual-level longitudinal mortality datasets from many low- and middle-income countries. We found that cash transfer programmes were associated with significant reductions in mortality among children under five years of age and women. Secondary heterogeneity analyses suggested similar effects for conditional and unconditional programmes, and larger effects for programmes that covered a larger share of the population and provided larger transfer amounts, and in countries with lower health expenditures, lower baseline life expectancy, and higher perceived regulatory quality. Our findings support the use of anti-poverty programmes such as cash transfers, which many countries have introduced or expanded during the COVID-19 pandemic, to improve population health.

Differences in Treatment Patterns and Outcomes of Acute Myocardial Infarction for Low- and High-Income Patients in 6 Countries.

Importance: Differences in the organization and financing of health systems may produce more or less equitable outcomes for advantaged vs disadvantaged populations. We compared treatments and outcomes of older high- and low-income patients across 6 countries. Objective: To determine whether treatment patterns and outcomes for patients presenting with acute myocardial infarction differ for low- vs high-income individuals across 6 countries. Design, Setting, and Participants: Serial cross-sectional cohort study of all adults aged 66 years or older hospitalized with acute myocardial infarction from 2013 through 2018 in the US, Canada, England, the Netherlands, Taiwan, and Israel using population-representative administrative data. Exposures: Being in the top and bottom quintile of income within and across countries. Main Outcomes and Measures: Thirty-day and 1-year mortality; secondary outcomes included rates of cardiac catheterization and revascularization, length of stay, and readmission rates. Results: We studied 289 376 patients hospitalized with ST-segment elevation myocardial infarction (STEMI) and 843 046 hospitalized with non-STEMI (NSTEMI). Adjusted 30-day mortality generally was 1 to 3 percentage points lower for high-income patients. For instance, 30-day mortality among patients admitted with STEMI in the Netherlands was 10.2% for those with high income vs 13.1% for those with low income (difference, -2.8 percentage points [95% CI, -4.1 to -1.5]). One-year mortality differences for STEMI were even larger than 30-day mortality, with the highest difference in Israel (16.2% vs 25.3%; difference, -9.1 percentage points [95% CI, -16.7 to -1.6]). In all countries, rates of cardiac catheterization and percutaneous coronary intervention were higher among high- vs low-income populations, with absolute differences ranging from 1 to 6 percentage points (eg, 73.6% vs 67.4%; difference, 6.1 percentage points [95% CI, 1.2 to 11.0] for percutaneous intervention in England for STEMI). Rates of coronary artery bypass graft surgery for patients with STEMI in low- vs high-income strata were similar but for NSTEMI were generally 1 to 2 percentage points higher among high-income patients (eg, 12.5% vs 11.0% in the US; difference, 1.5 percentage points [95% CI, 1.3 to 1.8 ]). Thirty-day readmission rates generally also were 1 to 3 percentage points lower and hospital length of stay generally was 0.2 to 0.5 days shorter for high-income patients. Conclusions and Relevance: High-income individuals had substantially better survival and were more likely to receive lifesaving revascularization and had shorter hospital lengths of stay and fewer readmissions across almost all countries. Our results suggest that income-based disparities were present even in countries with universal health insurance and robust social safety net systems.

Quantifying the interconnectedness between poverty, health access, and rabies mortality.

The global 2030 goal set by the World Organization for Animal Health (WOAH), the World Health Organization (WHO), and the Food and Agriculture Organization (FAO), to eliminate dog-mediated human rabies deaths, has undeniably been a catalyst for many countries to re-assess existing dog rabies control programmes. Additionally, the 2030 agenda for Sustainable Development includes a blueprint for global targets which will benefit both people and secure the health of the planet. Rabies is acknowledged as a disease of poverty, but the connections between economic development and rabies control and elimination are poorly quantified yet, critical evidence for planning and prioritisation. We have developed multiple generalised linear models, to model the relationship between health care access, poverty, and death rate as a result of rabies, with separate indicators that can be used at country-level; total Gross Domestic Product (GDP), and current health expenditure as a percentage of the total gross domestic product (% GDP) as an indicator of economic growth; and a metric of poverty assessing the extent and intensity of deprivation experienced at the individual level (Multidimensional Poverty Index, MPI). Notably there was no detectable relationship between GDP or current health expenditure (% GDP) and death rate from rabies. However, MPI showed statistically significant relationships with per capita rabies deaths and the probability of receiving lifesaving post exposure prophylaxis. We highlight that those most at risk of not being treated, and dying due to rabies, live in communities experiencing health care inequalities, readily measured through poverty indicators. These data demonstrate that economic growth alone, may not be enough to meet the 2030 goal. Indeed, other strategies such as targeting vulnerable populations and responsible pet ownership are also needed in addition to economic investment.

Lessons Learned from Health Disparities in Coronavirus Disease-2019 in the United States.

In the United States, the coronavirus disease-2019 (COVID-19) pandemic has disproportionally affected Black, Latinx, and Indigenous populations, immigrants, and economically disadvantaged individuals. Such historically marginalized groups are more often employed in low-wage jobs without health insurance and have higher rates of infection, hospitalization, and death from COVID-19 than non-Latinx White individuals. Mistrust in the health care system, language barriers, and limited health literacy have hindered vaccination rates in minorities, further exacerbating health disparities rooted in structural, institutional, and socioeconomic inequities. In this article, we discuss the lessons learned over the last 2 years and how to mitigate health disparities moving forward.

Interventions addressing maternal and child health among the urban poor and homeless: an overview of systematic reviews.

BACKGROUND: Inequalities in access to and utilization of maternal and child health (MCH) care are hampering progress on the path to achieving the Sustainable Development Goals. In a number of Low- and Middle-Income Countries (LMICs) population subgroups at disproportionate risk of being left behind are the urban poor. Within this neglected group is the further neglected group of the homeless. Concomitantly, a number of interventions from the antenatal period onward have been piloted, tested, and scaled in these contexts. We carried out an overview of systematic reviews (SRs) to characterize the evidence around maternal and child health interventions relevant to urban poor homeless populations in LMICs. METHODS: We searched Medline, Cochrane Library, Health Systems Evidence and EBSCOhost databases for SRs published between January 2009 and 2020 (with an updated search through November 2021). Our population of interest was women or children from urban poor settings in LMICs; interventions and outcomes corresponded with the World Health Organization's (WHO) guidance document. Each SR was assessed by two reviewers using established standard critical appraisal checklists. The overview was registered in PROSPERO (ID: CRD42021229107). RESULTS: In a sample of 33 high quality SRs, we found no direct relevant evidence for pregnant and lactating homeless women (and children) in the reviewed literature. There was a lack of emphasis on evidence related to family planning, safe abortion care, and postpartum care of mothers. There was mixed quality evidence that the range of nutritional interventions had little, unclear or no effect on several child mortality and development outcomes. Interventions related to water, sanitation, and hygiene, ensuring acceptability of community health services and health promotion type programs could be regarded as beneficial, although location seemed to matter. Importantly, the risk of bias reporting in different reviews did not match, suggesting that greater attention to rigour in their conduct is needed. CONCLUSION: The generalizability of existing systematic reviews to our population of interest was poor. There is a clear need for rigorous primary research on MCH interventions among urban poor, and particularly homeless populations in LMICs, as it is as yet unclear whether the same, augmented, or altogether different interventions would be required.

Air Pollution and Mortality at the Intersection of Race and Social Class.

BACKGROUND: Black Americans are exposed to higher annual levels of air pollution containing fine particulate matter (particles with an aerodynamic diameter of ≤2.5 µm [PM2.5]) than White Americans and may be more susceptible to its health effects. Low-income Americans may also be more susceptible to PM2.5 pollution than high-income Americans. Because information is lacking on exposure-response curves for PM2.5 exposure and mortality among marginalized subpopulations categorized according to both race and socioeconomic position, the Environmental Protection Agency lacks important evidence to inform its regulatory rulemaking for PM2.5 standards. METHODS: We analyzed 623 million person-years of Medicare data from 73 million persons 65 years of age or older from 2000 through 2016 to estimate associations between annual PM2.5 exposure and mortality in subpopulations defined simultaneously by racial identity (Black vs. White) and income level (Medicaid eligible vs. ineligible). RESULTS: Lower PM2.5 exposure was associated with lower mortality in the full population, but marginalized subpopulations appeared to benefit more as PM2.5 levels decreased. For example, the hazard ratio associated with decreasing PM2.5 from 12 µg per cubic meter to 8 µg per cubic meter for the White higher-income subpopulation was 0.963 (95% confidence interval [CI], 0.955 to 0.970), whereas equivalent hazard ratios for marginalized subpopulations were lower: 0.931 (95% CI, 0.909 to 0.953) for the Black higher-income subpopulation, 0.940 (95% CI, 0.931 to 0.948) for the White low-income subpopulation, and 0.939 (95% CI, 0.921 to 0.957) for the Black low-income subpopulation. CONCLUSIONS: Higher-income Black persons, low-income White persons, and low-income Black persons may benefit more from lower PM2.5 levels than higher-income White persons. These findings underscore the importance of considering racial identity and income together when assessing health inequities. (Funded by the National Institutes of Health and the Alfred P. Sloan Foundation.).

The Intersection of Race and Rurality and its Effect on Colorectal Cancer Survival.

INTRODUCTION: Outcomes in colorectal cancer treatment are historically worse in Black people and residents of rural areas. Purported reasons include factors such as systemic racism, poverty, lack of access to care, and social determinants of health. We sought to determine whether outcomes worsened when race and rural residence intersected. METHODS: The National Cancer Database was queried for individuals with stage II-III colorectal cancer (2004-2018). To examine the intersectionality of race/rurality on outcomes, race (Black/White) and rurality (based on county) were combined into a single variable. Main outcome of interest was 5-year survival. Cox hazard regression analysis was performed to determine variables independently associating with survival. Control variables included age at diagnosis, sex, race, Charlson-Deyo score, insurance status, stage, and facility type. RESULTS: Of 463 948 patients, 5717 were Black-Rural, 50 742 were Black-Urban, 72 241 were White-Rural, and 33 5271 were White-Urban. Five-year mortality rate was 31.6%. Univariate Kaplan-Meier survival analysis demonstrated race-rurality was associated with overall survival (P < .001), with White-Urban having the greatest mean survival length (47.9 months) and Black-Rural with the lowest (46.7 months). Multivariable analysis found that Black-Rural (1.26, 95% confidence interval [1.20-1.32]), Black-Urban (1.16, [1.16-1.18]), and White-Rural (HR: 1.05; (1.04-1.07) had increased mortality when compared to White-Urban individuals (P < .001). CONCLUSION: Although White-Rural individuals fared worse than White-Urban, Black individuals fared worst of all, with the poorest outcomes observed in Black individuals in rural areas. This suggests that both Black race and rurality negatively affect survival, and act synergistically to further worsen outcomes.

Radiotherapy Deserts: The Impact of Race, Poverty, and the Rural-Urban Continuum on Density of Providers and the Use of Radiation Therapy in the US.

PURPOSE: Prior efforts to characterize disparities in radiation therapy access and receipt have not comprehensively investigated interplay between race, socioeconomic status, and geography relative to oncologic outcomes. This study sought to define these complex relationships at the US county level for prostate cancer (PC) and invasive breast (BC) cancer to build a tool that facilitates identification of "radiotherapy deserts"-regions with mismatch between radiation therapy resources and oncologic need. METHODS AND MATERIALS: An ecologic study model was constructed using national databases to evaluate 3,141 US counties. Radiation therapy resources and use densities were operationalized as physicians to persons at risk (PPR) and use to persons at risk (UPR): the number of attending radiation oncologists and Medicare beneficiaries per 100,000 persons at risk, respectively. Oncologic need was defined by "hot zone" counties with ≥2 standard deviations (SDs) above mean incidence and death rates. Univariable and multivariable logistic regressions examined links between PPR and UPR densities, epidemiologic variables, and hot zones for oncologic outcomes. Statistics are reported at a significance level of P < .05. RESULTS: The mean (SD) PPR and UPR densities were 2.1 (5.9) and 192.6 (557.6) for PC and 1.9 (5.3) and 174.4 (501.0) for BC, respectively. Counties with high PPR and UPR densities were predominately metropolitan (odds ratio [OR], 2.9-4.4), generally with a higher percentage of Black non-Hispanic constituents (OR, 1.5-2.3). Incidence and death rate hot zones were largely nonmetropolitan (OR, 0.3-0.6), generally with a higher percentage of Black non-Hispanic constituents (OR, 3.2-6.3). Lower PPR density was associated with death rate hot zones for both types of cancer (OR, 0.8-0.9); UPR density was generally not linked to oncologic outcomes on multivariable analysis. CONCLUSIONS: The study found that mismatch between oncologic need with PPR and UPR disproportionately affects nonmetropolitan communities with a higher percentage of Black non-Hispanic constituents. An interactive web platform (bit.ly/densitymaps) was developed to visualize "radiotherapy deserts" and drive targeted investigation of underlying barriers to care in areas of highest need, with the goal of reducing health inequities in this context.

Can Early Disadvantage Be Overcome? A Life Course Approach to Understanding How Disadvantage, Education, and Social Integration Impact Mortality into Middle Adulthood Among a Black American Cohort.

Health equity research has identified fundamental social causes of health, many of which disproportionately affect Black Americans, such as early life socioeconomic conditions, neighborhood disadvantage, and racial discrimination. However, the role of life course factors in premature mortality among Black Americans has not been tested extensively in prospective samples into later adulthood. To better understand how social factors at various life stages impact mortality, this study examines the effect of life course poverty, neighborhood disadvantage, and discrimination on mortality and factors that may buffer their effect (i.e., education, social integration) among the Woodlawn cohort (N = 1242), a community cohort of urban Black Americans followed since 1966. Taking a life course perspective, we analyze mortality data for deaths through age 58 years old, as well as data collected at ages 6, 16, 32, and 42. At age 58, 204 (16.4%) of the original cohort have died, with ages of death ranging from 9 to 58.98 (mean = 42.9). Cox proportional hazard models adjusting for confounders show statistically significant differences in mortality risk based on timing and persistence of poverty; those who were never poor or poor only in early life had lower mortality risk at ages 43-58 than those who were persistently poor from childhood to adulthood. Education beyond high school and high social integration were shown to reduce the risk of mortality more for those who did not experience poverty early in their life course. Findings have implications for the timing and content of mortality prevention efforts that span the full life course.

Mapping of Pediatric COVID-19 Cases in Miami-Dade and Broward Counties: an Analysis of Sociodemographic Disparities.

BACKGROUND: Numerous studies have shown a disproportionate impact of COVID-19 infection on Black and Hispanic Americans in the adult patient population. However, few studies have been done with pediatric populations. The aim of this study is to identify the prevalence and distribution of COVID-19 cases among pediatric patients in Miami-Dade and Broward counties and identify any sociodemographic disparities. METHODS: A total of 10,087 children/adolescents ages zero years-old to 20 years-old were tested from July 1, 2020, to December 31, 2020. ArcGIS was used to map cases and obtain sociodemographic data. SPSS software was used to determine significance of data trends and create a predictive model. RESULTS: There were 1,161 pediatric COVID-19 cases detected. White Hispanics and Black Hispanics had statically significantly higher cases when compared to White non-Hispanics and Black non-Hispanics. Percentage of households on food stamps, percentage of households below the poverty line, percentage of minority populations, and percentage of Hispanic population showed a positive correlation with detected pediatric COVID-19 cases. Alternatively, areas with higher median household incomes and higher educational status were negatively correlated with COVID-19. Percentage of Hispanic population and percentage of households below the poverty line were predictive of pediatric COVID-19 cases. CONCLUSION: There was a disproportionate impact of pediatric COVID-19 infection on zip codes of lower socioeconomic status and increased racial/ethnic minority populations. This study demonstrates the need for public health policies that prioritize testing children/adolescents in these communities.