Impact of COVID-19 pandemic on breast cancer screening in a large midwestern United States academic medical center.

BACKGROUND: Access to breast screening mammogram services decreased during the COVID-19 pandemic. Our objectives were to estimate: 1) the COVID-19 affected period, 2) the proportion of pandemic-associated missed or delayed screening encounters, and 3) pandemic-associated patient attrition in screening encounters overall and by sociodemographic subgroup. METHODS: We included screening mammogram encounter EPIC data from 1-1-2019 to 12-31-2022 for females ≥40 years old. We used Bayesian State Space models to describe weekly screening mammogram counts, modeling an interruption that phased in and out between 3-1-2020 and 9-1-2020. We used the posterior predictive distribution to model differences between a predicted, uninterrupted process and the observed screening mammogram counts. We estimated associations between race/ethnicity and age group and return screening mammogram encounters during the pandemic among those with 2019 encounters using logistic regression. RESULTS: Our analysis modeling weekly screening mammogram counts included 231,385 encounters (n = 127,621 women). Model-estimated screening mammograms dropped by >98% between 03-15-2020 and 05-24-2020 followed by a return to pre-pandemic levels or higher with similar results by race/ethnicity and age group. Among 79,257 women, non-Hispanic (NH) Asians, NH Blacks, and Hispanics had significantly (p < .05) lower odds of screening encounter returns during 2020-2022 vs. NH Whites with odds ratios (ORs) from 0.70 to 0.91. Among 79,983 women, those 60-69 had significantly higher odds of any return screening encounter during 2020-2022 (OR = 1.28), while those ≥80 and 40-49 had significantly lower odds (ORs 0.77, 0.45) than those 50-59 years old. A sensitivity analysis suggested a possible pre-existing pattern. CONCLUSIONS: These data suggest a short-term pandemic effect on screening mammograms of ~2 months with no evidence of disparities. However, we observed racial/ethnic disparities in screening mammogram returns during the pandemic that may be at least partially pre-existing. These results may inform future pandemic planning and continued efforts to eliminate mammogram screening disparities.

The impact of individual-level income predicted from the BRFSS on the association between insurance status and overall survival among adults with cancer from the SEER program.

INTRODUCTION: Among patients with cancer in the United States, Medicaid insurance is associated with worse outcomes than private insurance and with similar outcomes as being uninsured. However, prior studies have not addressed the impact of individual-level socioeconomic status, which determines Medicaid eligibility, on the associations of Medicaid status and cancer outcomes. Our objective was to determine whether differences in cancer outcomes by insurance status persist after accounting for individual-level income. METHODS: The Surveillance, Epidemiology, and End Results (SEER) database was queried for 18-64 year-old individuals with cancer from 2014-2016. Individual-level income was imputed using a model trained on Behavioral Risk Factors Surveillance Survey participants including covariates also present in SEER. The association of 1-year overall survival and insurance status was estimated with and without adjustment for estimated individual-level income and other covariates. RESULTS: A total of 416,784 cases in SEER were analyzed. The 1-yr OS for patients with private insurance, Medicaid insurance, and no insurance was 88.7%, 76.1%, and 73.7%, respectively. After adjusting for all covariates except individual-level income, 1-year OS differences were worse with Medicaid (-6.0%, 95% CI = -6.3 to -5.6) and no insurance (-6.7%, 95% CI = -7.3 to -6.0) versus private insurance. After also adjusting for estimated individual-level income, the survival difference for Medicaid patients was similar to privately insured (-0.4%, 95% CI = -1.9 to 1.1) and better than uninsured individuals (2.1%, 95% CI = 0.7 to 3.4). CONCLUSIONS: Income, rather than Medicaid status, may drive poor cancer outcomes in the low-income and Medicaid-insured population. Medicaid insurance coverage may improve cancer outcomes for low-income individuals.

Associations between Medicaid enrollment and diagnosis stage and survival among pediatric cancer patients.

BACKGROUND: Medicaid-associated disparities in childhood and adolescent (pediatric) cancer diagnosis stage and survival have been reported. However, a key limitation of prior studies is the assessment of health insurance at a single time point. To evaluate Medicaid-associated disparities more robustly, we used Surveillance, Epidemiology, and End Results (SEER)-Medicaid linked data to examine diagnosis stage and survival disparities in those (i) Medicaid-enrolled and (ii) with discontinuous and continuous Medicaid enrollment. METHODS: SEER-Medicaid linked data from 2006 to 2013 were obtained on cases diagnosed from 0 to 19 years. Medicaid enrollment was classified as enrolled versus not enrolled, with further classifications as continuous when enrolled 6 months before through 6 months after diagnosis, and discontinuous when not enrolled continuously for this period. We used multinomial logistic and Cox proportional hazards regression models to determine associations between enrollment measures, diagnosis stage, and cancer death adjusted for covariates. RESULTS: Among 21,502 cases, a higher odds of distant stage diagnoses were observed in association with Medicaid enrollment (odds ratio [OR] = 1.56, 95% confidence interval [CI]: 1.48-1.65), with the highest odds for discontinuous enrollment (OR = 2.0, 95% CI: 1.86-2.15). Among 30,654 cases, any Medicaid enrollment, continuous enrollment, and discontinuous enrollment were associated with 1.68 (95% CI: 1.35-2.10), 1.66 (95% CI: 1.35-2.05), and 1.89 (95% CI: 1.54-2.33) times higher hazards of cancer death versus no enrollment, respectively. CONCLUSIONS: Medicaid enrollment, particularly discontinuous enrollment, is associated with a higher  distant stage diagnosis odds and risk of death. This study supports the critical need for consistent health insurance coverage in children and adolescents.

Impact of environment on pediatric and adult brain tumors: The 2023 Brain Tumor Epidemiology Consortium meeting report.

The Brain Tumor Epidemiology Consortium (BTEC) is an international organization with membership of individuals from the scientific community with interests related to brain tumor epidemiology including surveillance, classification, methodology, etiology, and factors associated with morbidity and mortality. The 2023 annual BTEC meeting entitled "Impact of Environment on Pediatric and Adult Brain Tumors" was held in Lexington, KY, USA on May 22 - 24, 2023. The meeting gathered scientists from the United States, Canada, Australia, and Europe and included four keynote sessions covering genomic, epigenomic, and metabolomic considerations in brain tumor epidemiology, cancer clusters, environmental risk factors, and new approaches to cancer investigation. The meeting also included three abstract sessions and a brainstorming session. A summary of the meeting content is included in this report.

iHeard STL: Development and first year findings from a local surveillance and rapid response system for addressing COVID-19 and other health misinformation.

BACKGROUND: The U.S. Surgeon General and others have emphasized a critical need to address COVID-19 misinformation to protect public health. In St. Louis, MO, we created iHeard STL, a community-level misinformation surveillance and response system. This paper reports methods and findings from its first year of operation. METHODS: We assembled a panel of over 200 community members who answered brief, weekly mobile phone surveys to share information they heard in the last seven days. Based on their responses, we prioritized misinformation threats. Weekly surveillance data, misinformation priorities, and accurate responses to each misinformation threat were shared on a public dashboard and sent to community organizations in weekly alerts. We used logistic regression to estimate odds ratios (ORs) for associations between panel member characteristics and misinformation exposure and belief. RESULTS: In the first year, 214 panel members were enrolled. Weekly survey response rates were high (mean = 88.3% ± 6%). Exposure to a sample of COVID-19 misinformation items did not differ significantly by panel member age category or gender; however, African American panel members had significantly higher reported odds of exposure and belief/uncertain belief in some misinformation items (ORs from 3.4 to 17.1) compared to white panel members. CONCLUSIONS: Our first-year experience suggests that this systematic, community-based approach to assessing and addressing misinformation is feasible, sustainable, and a promising strategy for responding to the threat of health misinformation. In addition, further studies are needed to understand whether structural factors such as medical mistrust underly the observed racial differences in exposure and belief.

Perinatal folate levels do not influence tumor latency or multiplicity in a model of NF1 associated plexiform-like neurofibromas.

OBJECTIVE: In epidemiological and experimental research, high folic acid intake has been demonstrated to accelerate tumor development among populations with genetic and/or molecular susceptibility to cancer. Neurofibromatosis type 1 (NF1) is a common autosomal dominant disorder predisposing affected individuals to tumorigenesis, including benign plexiform neurofibromas; however, understanding of factors associated with tumor risk in NF1 patients is limited. Therefore, we investigated whether pregestational folic acid intake modified plexiform-like peripheral nerve sheath tumor risk in a transgenic NF1 murine model. RESULTS: We observed no significant differences in overall survival according to folate group. Relative to controls (180 days), median survival did not statistically differ in deficient (174 days, P = 0.56) or supplemented (177 days, P = 0.13) folate groups. Dietary folate intake was positively associated with RBC folate levels at weaning, (P = 0.023, 0.0096, and 0.0006 for deficient vs. control, control vs. supplemented, and deficient vs. supplemented groups, respectively). Dorsal root ganglia (DRG), brachial plexi, and sciatic nerves were assessed according to folate group. Mice in the folate deficient group had significantly more enlarged DRG relative to controls (P = 0.044), but no other groups statistically differed. No significant differences for brachial plexi or sciatic nerve enlargement were observed according to folate status.

State Public Assistance Spending and Survival Among Adults With Cancer.

Importance: Social determinants of health contribute to disparities in cancer outcomes. State public assistance spending, including Medicaid and cash assistance programs for socioeconomically disadvantaged individuals, may improve access to care; address barriers, such as food and housing insecurity; and lead to improved cancer outcomes for marginalized populations. Objective: To determine whether state-level public assistance spending is associated with overall survival (OS) among individuals with cancer, overall and by race and ethnicity. Design, Setting, and Participants: This cohort study included US adults aged at least 18 years with a new cancer diagnosis from 2007 to 2013, with follow-up through 2019. Data were obtained from the Surveillance, Epidemiology, and End Results program. Data were analyzed from November 18, 2021, to July 6, 2023. Exposure: Differential state-level public assistance spending. Main Outcome and Measure: The main outcome was 6-year OS. Analyses were adjusted for age, race, ethnicity, sex, metropolitan residence, county-level income, state fixed effects, state-level percentages of residents living in poverty and aged 65 years or older, cancer type, and cancer stage. Results: A total 2 035 977 individuals with cancer were identified and included in analysis, with 1 005 702 individuals (49.4%) aged 65 years or older and 1 026 309 (50.4%) male. By tertile of public assistance spending, 6-year OS was 55.9% for the lowest tertile, 55.9% for the middle tertile, and 56.6% for the highest tertile. In adjusted analyses, public assistance spending at the state-level was significantly associated with higher 6-year OS (0.09% [95% CI, 0.04%-0.13%] per $100 per capita; P < .001), particularly for non-Hispanic Black individuals (0.29% [95% CI, 0.07%-0.52%] per $100 per capita; P = .01) and non-Hispanic White individuals (0.12% [95% CI, 0.08%-0.16%] per $100 per capita; P < .001). In sensitivity analyses examining the roles of Medicaid spending and Medicaid expansion including additional years of data, non-Medicaid spending was associated with higher 3-year OS among non-Hispanic Black individuals (0.49% [95% CI, 0.26%-0.72%] per $100 per capita when accounting for Medicaid spending; 0.17% [95% CI, 0.02%-0.31%] per $100 per capita Medicaid expansion effects). Conclusions and Relevance: This cohort study found that state public assistance expenditures, including cash assistance programs and Medicaid, were associated with improved survival for individuals with cancer. State investment in public assistance programs may represent an important avenue to improve cancer outcomes through addressing social determinants of health and should be a topic of further investigation.

Pediatric cancer patient emergency department visits and disposition by sociodemographic and economic characteristics.

BACKGROUND: Limited research has been conducted on cancer-related emergency department (ED) patterns among pediatric cancer patients, including whether there are differences in the characteristics of individuals who seek ED care for cancer complications. The objectives of this study were to determine whether rates and disposition of cancer-related ED visits and hospital admissions in childhood cancer patients differ by sociodemographic factors. METHODS: A cross-sectional analysis of ED encounters with a cancer diagnosis code among patients aged 0-19 years from the 2019 National Emergency Department Sample (NEDS) was conducted. Weighted logistic regression models were utilized to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for a primary cancer-related encounter, and hospital admission overall and by subgroup characteristics. RESULTS: Of the unweighted 6,801,711 ED encounters in children aged 0-19 years, 10,793 were classified as visits by cancer patients. ED encounters of Hispanic versus non-Hispanic White pediatric cancer patients had higher odds of having a cancer-related primary diagnosis (OR = 1.15, 95% CI: 1.04-1.27). ED encounters of non-Hispanic Black pediatric patients and those in the lowest zip code income quartile had higher odds of hospital admission (OR = 1.28, 95% CI: 1.08-1.53; OR = 1.30, 95% CI: 1.15-1.46), while rurality was associated with lower odds of hospital admission (OR = 0.69, 95% CI: 0.57-0.83). CONCLUSION: These results suggest that pediatric cancer patients from certain under-resourced communities are more likely to use the ED for cancer treatment complications, and their encounters are more likely to result in admission to the hospital.

When do people increase COVID-19 protective behaviors? A longitudinal analysis of the impact of infections among close contacts and in the community.

Studies examining individual-level changes in protective behaviors over time in association with community-level infection and self or close-contact infection with SARS-CoV-2 are limited. We analyzed overall and demographic specific week-to-week changes in COVID-19 protective behaviors and their association with COVID-19 infections (regional case counts and self or close contacts). Data were collected through 37 consecutive weekly surveys from 10/17/2021 - 6/26/2022. Our survey panel included 212 individuals living or working in St. Louis City and County, Missouri, U.S.A. Frequency of mask-wearing, handwashing, physical distancing, and avoiding large gatherings was self-reported (more/the same/less than the prior week). Close contact with COVID-19 was reported if the panel member, their household member, or their close contact tested positive, got sick, or was hospitalized for COVID-19 in the prior week. Regional weekly COVID-19 case counts were matched to the closest survey administration date. We used generalized linear mixed models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations. Evidence for effect modification was assessed using the likelihood ratio test. Increased protective behaviors were positively associated with COVID-19 case counts (ORhighest vs. lowest case count category = 4.39, 95% CI 3.35-5.74) and with participant-reported self or close contacts with COVID-19 (OR = 5.10, 95% CI 3.88-6.70). Stronger associations were found for White vs. Black panel members (p <.0001). Individuals modulated their protective behaviors in association with regional COVID-19 case counts and self or close contact infection. Rapid reporting and widespread public awareness of infectious disease rates may help reduce transmission during a pandemic by increasing protective behaviors.

Changes in cancer mortality after Medicaid expansion and the role of stage at diagnosis.

BACKGROUND: Medicaid expansion is associated with improved survival following cancer diagnosis. However, little research has assessed how changes in cancer stage may mediate improved cancer mortality or how expansion may have decreased population-level cancer mortality rates. METHODS: Nationwide state-level cancer data from 2001 to 2019 for individuals ages 20-64 years were obtained from the combined Surveillance, Epidemiology, and End Results National Program of Cancer Registries (incidence) and the National Center for Health Statistics (mortality) databases. We estimated changes in distant stage cancer incidence and cancer mortality rates from pre- to post-2014 in expansion vs nonexpansion states using generalized estimating equations with robust standard errors. Mediation analyses were used to assess whether distant stage cancer incidence mediated changes in cancer mortality. RESULTS: There were 17 370 state-level observations. For all cancers combined, there were Medicaid expansion-associated decreases in distant stage cancer incidence (adjusted odds ratio = 0.967, 95% confidence interval = 0.943 to 0.992; P = .01) and cancer mortality (adjusted odds ratio = 0.965, 95% confidence interval = 0.936 to 0.995; P = .022). This translates to 2591 averted distant stage cancer diagnoses and 1616 averted cancer deaths in the Medicaid expansion states. Distant stage cancer incidence mediated 58.4% of expansion-associated changes in cancer mortality overall (P = .008). By cancer site subgroups, there were expansion-associated decreases in breast, cervix, and liver cancer mortality. CONCLUSIONS: Medicaid expansion was associated with decreased distant stage cancer incidence and cancer mortality. Approximately 60% of the expansion-associated changes in cancer mortality overall were mediated by distant stage diagnoses.

Disparities in survival improvement for U.S. childhood and adolescent cancer between 1995 and 2019: An analysis of population-based data.

BACKGROUND: Although treatment advances have increased childhood and adolescent cancer survival, whether patient subgroups have benefited equally from these improvements is unclear. METHODS: Data on 42,865 malignant primary cancers diagnosed between 1995 and 2019 in individuals ≤ 19 years were obtained from 12 Surveillance, Epidemiology, and End Results registries. Hazard ratios (HRs) and 95 % confidence intervals (CIs) for cancer-specific mortality by age group (0-14 and 15-19 years), sex, and race/ethnicity were estimated using flexible parametric models with a restricted cubic spline function in each of the periods: 2000-2004, 2005-2009, 2010-2014 and 2015-2019, versus 1995-1999. Interactions between diagnosis period and age group (children 0-14 and adolescents 15-19 years at diagnosis), sex, and race/ethnicity were assessed using likelihood ratio tests. Five-year cancer-specific survival rates for each diagnosis period were further predicted. RESULTS: Compared with the 1995-1999 cohort, the risk of dying from all cancers combined decreased in subgroups defined by age, sex and race/ethnicity with HRs ranging from 0.50 to 0.68 for the 2015-2019 comparison. HRs were more variable by cancer subtype. There were no statistically significant interactions by age group (Pinteraction=0.05) or sex (Pinteraction=0.71). Despite non-significant differences in cancer-specific survival improvement across different races and ethnicities (Pinteraction=0.33) over the study period, minorities consistently experienced inferior survival compared with non-Hispanic Whites. CONCLUSIONS: The substantial improvements in cancer-specific survival for childhood and adolescent cancer did not differ significantly by different age, sex, and race/ethnicity groups. However, persistent gaps in survival between minorities and non-Hispanic Whites are noteworthy.

Health Insurance Coverage and Racial/Ethnic Disparities in US Childhood and Adolescent Cancer Survival.

OBJECTIVE: To evaluate potential effect modification by health insurance coverage on racial and ethnic disparities in cancer survival among US children and adolescents. STUDY DESIGN: Data from 54 558 individuals diagnosed with cancer at ≤ 19 years between 2004 and 2010 were obtained from the National Cancer Database. Cox proportional hazards regression was used for analyses. An interaction term between race/ethnicity and health insurance type was included to examine racial/ethnic disparities in survival by each insurance status category. RESULTS: Racial/ethnic minorities experienced a 14%-42% higher hazard of death compared with non-Hispanic Whites (NHWs) with magnitudes varying by health insurance type (Pinteraction < .001). Specifically, among those reported as privately insured, the hazard of death was higher for non-Hispanic Blacks (NHBs) (hazard ratio [HR] = 1.48, 95% CI: 1.36-1.62), non-Hispanic American Indian/Alaskan Natives (HR = 1.99, 95% CI: 1.36-2.90), non-Hispanic Asians or Pacific Islanders (HR = 1.30, 95% CI: 1.13-1.50), and Hispanics (HR = 1.28, 95% CI: 1.17-1.40) vs NHWs. Racial/ethnic disparities in survival among those reported as covered by Medicaid were present for NHBs (HR = 1.30, 95% CI: 1.19-1.43) but no other racial/ethnic minorities (HR ranges: 0.98∼1.00) vs NHWs. In the uninsured group, the hazard of death for NHBs (HR = 1.68, 95% CI: 1.26-2.23) and Hispanics (HR = 1.27, 95% CI: 1.01-1.61) was higher vs NHWs. CONCLUSIONS: Disparities in survival exist across insurance types, particularly for NHB childhood and adolescent cancer patients vs NHWs with private insurance. These findings provide insights for research and policy, and point to the need for more efforts on promoting health equity while improving health insurance coverage.

The association of Medicaid expansion and pediatric cancer overall survival.

Medicaid eligibility expansion, though not directly applicable to children, has been associated with improved access to care in children with cancer, but associations with overall survival are unknown. Data for children ages 0 to 14 years diagnosed with cancer from 2011 to 2018 were queried from central cancer registries data covering cancer diagnoses from 40 states as part of the Centers for Disease Control and Prevention's National Program of Cancer Registries. Difference-in-differences analyses were used to compare changes in 2-year survival from 2011-2013 to 2015-2018 in Medicaid expansion relative to nonexpansion states. In adjusted analyses, there was a 1.50 percentage point (95% confidence interval = 0.37 to 2.64) increase in 2-year overall survival after 2014 in expansion relative to nonexpansion states, particularly for those living in the lowest county income quartile (difference-in-differences = 5.12 percentage point, 95% confidence interval = 2.59 to 7.65). Medicaid expansion may improve cancer outcomes for children with cancer.

Pediatric brain tumors: Origins, epidemiology, and classification - The 2022 Brain Tumor Epidemiology Consortium meeting report.

The Brain Tumor Epidemiology Consortium (BTEC) is an international organization that fosters collaboration among scientists focused on understanding the epidemiology of brain tumors with interests ranging from the etiology of brain tumor development and outcomes to the control of morbidity and mortality. The 2022 annual BTEC meeting with the theme "Pediatric Brain Tumors: Origins, Epidemiology, and Classification" was held in Lyon, France on June 20 - 22, 2022. Scientists from North America and Europe presented recent research and progress in the field. The meeting content is summarized in this report.

Facility patient volume and survival among individuals diagnosed with malignant central nervous system tumors.

PURPOSE: Prior research indicates that the volume of central nervous system (CNS) tumor patients seen by a facility is associated with outcomes. However, most studies have focused on short-term survival and specific CNS tumor subtypes. Our objective was to examine whether facility CNS tumor patient volume is associated with longer-term CNS tumor survival overall and by subtype. METHODS: We obtained National Cancer Database (NCDB) data including individuals diagnosed with CNS tumors from 2004 to 2016. Analyses were stratified by age group (0-14, 15-39, 40-64, and ≥ 65 years) and tumor type. We used Cox Proportional Hazards (PH) regression and restricted mean survival time (RMST) analyses to examine associations between survival and facility patient volume percentile category adjusting for potential confounding factors. RESULTS: Our analytic dataset included data from 130,830 individuals diagnosed with malignant first primary CNS tumors. We found a consistently reduced hazard rate of death across age groups for individuals reported by higher vs. lower (> 95th vs. ≤ 70th percentile) volume facilities (hazard ratio (HR)0-14 = 0.78, 95% confidence interval (CI) 0.64-0.95; HR15-39 = 0.87, 95% CI 0.78-0.96; HR40-64 = 0.82, 95% CI 0.76-0.88; HR≥65 = 0.80, 95% CI 0.75-0.86). Significantly longer survival times within 5 years for higher vs. lower volume facilities were observed ranging from 1.20 months (15-39) to 3.08 months (40-64) higher. Associations varied by CNS tumor subtype for all age groups. CONCLUSIONS: These results suggest facility factors influence CNS tumor survival with longer survival for patients reported by higher volume facilities. Understanding these factors will be critical to developing strategies that eliminate modifiable differences in survival times.

Employment Loss and Food Insecurity - Race and Sex Disparities in the Context of COVID-19.

INTRODUCTION: Applying an intersectional framework, we examined sex and racial inequality in COVID-19-related employment loss (ie, job furlough, layoff, and reduced pay) and food insecurity (ie, quality and quantity of food eaten, food worry, and receipt of free meals or groceries) among residents in Saint Louis County, Missouri. METHODS: We used cross-sectional data from adults aged 18 or older (N = 2,146), surveyed by using landlines or cellular phones between August 12, 2020, and October 27, 2020. We calculated survey-weighted prevalence of employment loss and food insecurity for each group (Black female, Black male, White female, White male). Odds ratios for each group were estimated by using survey-weighted binary and multinomial logistic regression models. RESULTS: Black female residents had higher odds of being laid off, as compared with White male residents (OR = 2.61, 95% CI, 1.24-5.46). Both Black female residents (OR = 4.13, 95% CI, 2.29-7.45) and Black male residents (OR = 2.41, 95% CI, 1.15-5.07) were more likely to receive free groceries, compared with White male residents. Black female (OR = 4.25, 95% CI, 2.28-7.94) and White female residents (OR = 1.93, 95% CI, 1.04-3.60) had higher odds of sometimes worrying about food compared with White male residents. Black women also had higher odds of always or nearly always worrying about food, compared with White men (OR = 2.99, 95% CI, 1.52-5.87). CONCLUSION: Black women faced the highest odds of employment loss and food insecurity, highlighting the disproportionate impact of COVID-19 among people with intersectional disadvantages of being both Black and female. Interventions to reduce employment loss and food insecurity can help reduce the disproportionately negative social effects among Black women.

The impact of health insurance coverage on racial/ethnic disparities in US childhood and adolescent cancer stage at diagnosis.

BACKGROUND: Racial/ethnic minority children and adolescents are more likely to have an advanced cancer diagnosis compared with non-Hispanic Whites, which may relate to the lack of consistent health care access. This study aims to describe racial/ethnic disparities in cancer diagnosis stage among children and adolescents and assess whether health insurance mediates these disparities. METHODS: Data on individuals ≤19 years of age diagnosed with primary cancers from 2007 to 2016 were obtained from the Surveillance, Epidemiology, and End Results 18 database. Prevalence ratios (PRs) and 95% confidence intervals (CIs) for the association between race/ethnicity and cancer diagnosis stage were calculated using Poisson regression. Analyses addressing health insurance as a potential mediator were also performed. RESULTS: Compared with non-Hispanic Whites, racial/ethnic minorities had a higher prevalence of a distant cancer diagnosis, with PRs of 1.31 (95% CI, 1.23-1.40) for non-Hispanic Blacks, 1.14 (95% CI, 1.04-1.24) for non-Hispanic Asian/Pacific Islanders, and 1.15 (95% CI, 1.09-1.21) for Hispanics. These associations were attenuated when adjusting for health insurance, with PRs of 1.24 (95% CI, 1.16-1.33) for non-Hispanic Blacks, 1.11 (95% CI, 1.02-1.21) for non-Hispanic Asian/Pacific Islanders, and 1.07 (95% CI, 1.01-1.13) for Hispanics. Any Medicaid or no insurance at diagnosis mediated 49%, 22%, and 9% of the observed association with distant stage in Hispanics, non-Hispanic Blacks, and non-Hispanic Asian/Pacific Islanders, respectively. CONCLUSIONS: Disparities in cancer diagnosis stage in racial/ethnic minority children and adolescents may be partially explained by health insurance coverage. Further research is needed to understand the mechanisms.

An open dataset of Plasmodium vivax genome variation in 1,895 worldwide samples.

This report describes the MalariaGEN Pv4 dataset, a new release of curated genome variation data on 1,895 samples of Plasmodium vivax collected at 88 worldwide locations between 2001 and 2017. It includes 1,370 new samples contributed by MalariaGEN and VivaxGEN partner studies in addition to previously published samples from these and other sources. We provide genotype calls at over 4.5 million variable positions including over 3 million single nucleotide polymorphisms (SNPs), as well as short indels and tandem duplications. This enlarged dataset highlights major compartments of parasite population structure, with clear differentiation between Africa, Latin America, Oceania, Western Asia and different parts of Southeast Asia. Each sample has been classified for drug resistance to sulfadoxine, pyrimethamine and mefloquine based on known markers at the dhfr, dhps and mdr1 loci. The prevalence of all of these resistance markers was much higher in Southeast Asia and Oceania than elsewhere. This open resource of analysis-ready genome variation data from the MalariaGEN and VivaxGEN networks is driven by our collective goal to advance research into the complex biology of P. vivax and to accelerate genomic surveillance for malaria control and elimination.

Assessment of the impact of the COVID-19 pandemic on health services use.

Objectives: The coronavirus disease of 2019 (COVID-19) pandemic declared by the World Health Organization on March 11, 2020 impacted healthcare services with provider and patient cancellations, delays, and patient avoidance or delay of emergency department or urgent care. Limited data exist on the population proportion affected by delayed healthcare, which is important for future healthcare planning efforts. Our objective was to evaluate the impact of the COVID-19 pandemic on healthcare service cancellations or delays and delays/avoidance of emergency/urgent care overall and by population characteristics. Study design: This was a cross-sectional study. Methods: Our sample (n = 2314) was assembled through a phone survey from 8/12/2020-10/27/2020 among non-institutionalized St. Louis County, Missouri, USA residents ≥18 years. We asked about provider and patient-initiated cancellations or delays of appointments and pandemic-associated delays/avoidance of emergency/urgent care overall and by participant characteristics. We calculated weighted prevalence estimates by select resident characteristics. Results: Healthcare services cancellations or delays affected ∼54% (95% CI 50.6%-57.1%) of residents with dental (31.1%, 95% CI 28.1%-34.0%) and primary care (22.1%, 95% CI 19.5%-24.6%) being most common. The highest prevalences were among those who were White, ≥65 years old, female, in fair/poor health, who had health insurance, and who had ≥1 medical condition. Delayed or avoided emergency/urgent care impacted ∼23% (95% CI 19.9%-25.4%) of residents with a higher prevalence in females than males. Conclusions: Healthcare use disruptions impacted a substantial proportion of residents. Future healthcare planning efforts should consider these data to minimize potential morbidity and mortality from delayed care.

SARS-CoV-2 active infection prevalence and seroprevalence in the adult population of St. Louis County.

BACKGROUND: The true prevalence of COVID-19 is difficult to estimate due to the absence of random population-based testing. To estimate current and past COVID-19 infection prevalence in a large urban area, we conducted a population-based survey in St. Louis County, Missouri. METHODS: The population-based survey of active infection (PCR) and seroprevalence (IgG antibodies) of adults (≥18 years) was conducted through random-digit dialing and targeted sampling of St. Louis County residents with oversampling of Black residents. Infection prevalence of residents was estimated using design-based and raking weighting. RESULTS: Between August 17 and October 24, 2020, 1245 residents completed a survey and underwent PCR testing; 1073 residents completed a survey and underwent PCR and IgG testing or self-reported results. Weighted prevalence estimates of residents with active infection were 1.9% (95% CI, 0.4%-3.3%) and 5.6% were ever infected (95% CI, 3.3%-8.0%). Overall infection hospitalization and fatality ratios were 4.9% and 1.4%, respectively. CONCLUSIONS: Through October 2020, the percentage of residents that had ever been infected was relatively low. A markedly higher percentage of Black and other minorities compared to White residents were infected with COVID-19. The St. Louis region remained highly vulnerable to widespread infection in late 2020.