A Structural Racism Framework to Guide Health Equity Interventions in Pediatric Oncology

Racial Disparities in Treatment and Outcomes of Pediatric Hepatoblastoma

Pediatric Hepatoblastoma is a rare malignancy of the liver. This study used the National Cancer Database (NCDB) to identify 1068 patients diagnosed with hepatoblastoma from 2004 to 2020. χ 2 and Analysis of Variance testing, as well as Kaplan-Meier, Cox Regression, and multinomial logistic regression models were used. Data was analyzed using SPSS version 27, and statistical significance was set at α=0.05. Our results found Black patients experienced a significantly lower median survival rate compared with White patients, a difference which persisted after controlling for covariates. Black patients were also less likely to receive surgery and chemotherapy and more likely to be from low-income households than White patients. White patients had a significantly shorter inpatient hospital stay compared to Black patients and were more likely to receive treatment at more than 1 CoC accredited facility. There was no significant difference in grade, size of tumor, metastasis, or time of diagnosis to surgery. This study showed Black patients experienced inferior overall survival when diagnosed and treated for hepatoblastoma compared to White patients.

Historical Structural Racism in the Built Environment and Contemporary Children's Opportunities

BACKGROUND AND OBJECTIVES

There are well-documented links between structural racism and inequities in children's opportunities. Yet, when it comes to understanding the role of the built environment, a disproportionate focus on redlining obscures other historical policies and practices such as blockbusting, freeway displacement, and urban renewal that may impact contemporary child development. We hypothesized that historical structural racism in Allegheny County, Pennsylvania's, built environment would be associated with fewer contemporary educational, socioeconomic, and health opportunities. We also hypothesized that these measures would explain more collective variance in children's opportunities than redlining alone.

METHODS

We used geospatial data from the US Census, Mapping Inequality Project, and other archival sources to construct historical measures of redlining, blockbusting, freeway displacement, and urban renewal in ArcGIS at the census tract level. These were linked with data from the Child Opportunity Index 2.0 to measure children's opportunities across domains of education, socioeconomic status, and health. We ran spatial regression analyses in Stata 18.0 to examine individual and collective associations between structural racism and children's opportunities.

RESULTS

Historical redlining, blockbusting, and urban renewal were largely associated with fewer contemporary educational, socioeconomic, and health opportunities, and explained up to 47.4% of the variance in children's opportunities. The measures collectively explained more variance in children's opportunities than redlining alone.

CONCLUSIONS

In support of our hypotheses, novel measures of structural racism were related to present-day differences in children's opportunities. Findings lay the groundwork for future research focused on repairing longstanding harm perpetuated by structural racism.

A comprehensive analysis of neuroblastoma incidence, survival, and racial and ethnic disparities from 2001 to 2019

BACKGROUND

We characterize the incidence and 5-year survival of children and adolescents with neuroblastoma stratified by demographic and clinical factors based on the comprehensive data from United States Cancer Statistics (USCS) and the National Program of Cancer Registries (NPCR).

METHODS

We analyzed the incidence of neuroblastoma from USCS (2003-2019) and survival data from NPCR (2001-2018) for patients less than 20 years old. Incidence trends were calculated by average annual percent change (AAPC) using joinpoint regression. Differences in relative survival were estimated comparing non-overlapping confidence intervals (CI).

RESULTS

We identified 11,543 primary neuroblastoma cases in USCS. Age-adjusted incidence was 8.3 per million persons [95% CI: 8.2, 8.5], with an AAPC of 0.4% [95% CI: -0.1, 0.9]. Five-year relative survival from the NPCR dataset (n = 10,676) was 79.7% [95% CI: 78.9, 80.5]. Patients aged less than 1 year had the highest 5-year relative survival (92.5%). Five-year relative survival was higher for non-Hispanic White patients (80.7%) or Hispanic patients (80.8%) compared to non-Hispanic Black patients (72.6%).

CONCLUSION

Neuroblastoma incidence was stable during 2003-2019. Differences in relative survival exist by sex, age, race/ethnicity, and stage; patients who were male, older, non-Hispanic Black, or with distant disease had worse survival. Future studies could seek to assess the upstream factors driving disparities in survival, and evaluate interventions to address inequities and improve survival across all groups.

A health equity framework to support the next generation of cancer population simulation models

Over the past 2 decades, population simulation modeling has evolved as an effective public health tool for surveillance of cancer trends and estimation of the impact of screening and treatment strategies on incidence and mortality, including documentation of persistent cancer inequities. The goal of this research was to provide a framework to support the next generation of cancer population simulation models to identify leverage points in the cancer control continuum to accelerate achievement of equity in cancer care for minoritized populations. In our framework, systemic racism is conceptualized as the root cause of inequity and an upstream influence acting on subsequent downstream events, which ultimately exert physiological effects on cancer incidence and mortality and competing comorbidities. To date, most simulation models investigating racial inequity have used individual-level race variables. Individual-level race is a proxy for exposure to systemic racism, not a biological construct. However, single-level race variables are suboptimal proxies for the multilevel systems, policies, and practices that perpetuate inequity. We recommend that future models designed to capture relationships between systemic racism and cancer outcomes replace or extend single-level race variables with multilevel measures that capture structural, interpersonal, and internalized racism. Models should investigate actionable levers, such as changes in health care, education, and economic structures and policies to increase equity and reductions in health-care-based interpersonal racism. This integrated approach could support novel research approaches, make explicit the effects of different structures and policies, highlight data gaps in interactions between model components mirroring how factors act in the real world, inform how we collect data to model cancer equity, and generate results that could inform policy.

Cancer center-based follow-up among pediatric and adolescent/young adult cancer survivors: the role of a community-based organization and the social determinants of health

PURPOSE

Adherence to survivorship care is suboptimal among pediatric and adolescent/young adult (AYA) cancer survivors. We evaluated predictors of cancer center-based follow-up among pediatric/AYA cancer survivors, with an emphasis on social determinants of health (SDOH).

METHODS

This retrospective cohort study used electronic health record data at an academic medical center to identify patients aged 0-29 years at last cancer treatment who completed treatment 2010-2019. Cancer center-based follow-up was defined by oncology or survivorship clinic visits through 12/31/2022. Multivariate logistic regression models (overall, ages 0-19 [pediatric], 20-29 [YA]) evaluated the association of demographics, clinical/treatment characteristics, and SDOH (insurance type, distance to cancer center, area deprivation index) with clinic attendance. Further modeling accounted for the service area of a community-based organization (CBO) that supports families of children with cancer.

RESULTS

A total of 2210 survivors were included (56% pediatric, 44% YA; 66% non-White). Cancer center-based follow-up decreased from 94% 1-year post-treatment to 35% at > 5-7 years. In adjusted analysis, AYAs had the lowest follow-up (5-7 years post-treatment: OR 0.25 [0.15-0.41] for age 25-29; OR 0.25 [0.16-0.41] for age 20-24; OR 0.32 [0.20-0.52] for age 15-19). Survivors residing within the CBO service area were twice as likely to follow-up (OR 2.10 [1.34-3.29]).

CONCLUSIONS

Among a diverse population, AYA survivors were vulnerable to loss to follow-up. Other SDOH were not consistently associated with follow-up. Support from a CBO may partly explain these findings.

IMPLICATIONS FOR CANCER SURVIVORS

CBOs may strengthen survivorship follow-up within medically underserved communities. More research is needed to understand community support in survivorship.

Skipping the Line: Inequality in Access to Developmental-Behavioral Care

CASE

The mother of an 18-month-old boy contacted the developmental and behavioral pediatrics clinic to request an evaluation because of concerns that her son is not using any words and only recently began walking. The child's mother became upset when she was notified that the clinic policy requires receipt of a formal request for evaluation from the primary care physician and that the first available appointment was in 9 months. Later that day, the child's grandmother contacted the clinic and reported that she is a member of the Donor Society affiliated with the university/medical system. Membership in the Donor Society is granted to individuals who have met specific philanthropic thresholds benefiting the university. One benefit to members of the Donor Society is the ability to access subspecialty medical services for themselves and their family members, across all disciplines, within 5 business days of their request.After confirming the details of the Donor Society promise with the philanthropic department of the hospital, a small committee of professionals within the clinic gathered to discuss the implications of this promised benefit to Donor Society members. This clinic is the only source for specialized, multidisciplinary developmental-behavioral health care that accepts public insurance within a 200-mile radius. The current waitlist for evaluation is 9 to 15 months depending on the reason for referral, and approximately 75% of patients on the waitlist receive some form of public assistance and/or live in a rural or underserved area. During the discussion, it was noted that there are 2 developmental-behavioral pediatric clinicians who practice within a cash-based private practice setting in the community. The waitlist for that practice was recently reported to be 3 to 6 months depending on the reason for evaluation, but that practice also requires a referral from the primary care physician before scheduling an initial evaluation.How would you recommend that the clinicians in the developmental and behavioral pediatrics clinic respond to the request to fulfill the promises made by the university to members of the Donor Society? How does a promise such as this one made to the Donor Society affect structural inequalities within the health care system and what strategies could be used to mitigate further inequalities that may result?