A Tri-Institutional Approach to Address Disparities in Children's Oncology Group Clinical Trial Accrual for Adolescents and Young Adults and Underrepresented Minorities

Interventions addressing systemic racism in the US: A scoping review

Previous studies have reported on the health impact of systemic racism among historically oppressed populations. In fact, there is an emerging body of literature, including systematic reviews, which describe the negative health consequences of systemic racism among racial/ethnic minoritized groups in the US. Less is known, however, about effective intervention strategies to address systemic racism and the resulting health inequities. This scoping review was conducted to synthesize the published literature on U.S.-based interventions designed to improve health equity by addressing systemic racism. The Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for scoping review (PRISMA-ScR) checklist was used to report this review. We searched six databases (MEDLINE, CINAHL, PsycINFO, Sociological Abstracts, Web of Science Core Collection, and Scopus) to examine the intervention studies. A total of 172 articles were included in review. These interventions were classified by typology which included healing-centered approaches, community-based interventions targeting health disparities, diversity, equity, inclusion (DEI) efforts, anti-racism training interventions, and policy interventions. The findings from this review have important implications for the development, testing, and scaling of interventions designed to addressed systemic racism.

Racial and Ethnic Survival Disparities in Pediatric Oncology Over Time: An Analysis of the SEER Registry

BACKGROUND/PURPOSE

Studies have demonstrated existing racial and ethnic disparities in multiple aspects of pediatric oncology. The purpose of this study was to examine how racial and ethnic disparities in mortality among pediatric oncology patients have changed over time. We examined mortality by race and ethnicity over time within the Surveillance, Epidemiology, and End Results (SEER) registry.

METHODS

Patients <20 years-old from 1975 to 2016 (n = 49,861) were selected for the analysis. Demographic characteristics, cancer diagnosis, and mortality data were extracted. Patients were divided by race and ethnicity: 1) non-Latino White, 2) Black, 3) Latino, and 4) Other Race. The interaction between race/ethnicity and decade was evaluated to better understand how disparities in mortality have changed over time.

RESULTS

Unadjusted mortality among all cancers improved significantly, with 5-year mortality decreasing from the 1970s to the 2010s (log-rank: p < 0.001) for all race/ethnicity groups. However, improvements in mortality were not equal, with 5-year overall survival (OS) improving from 62.7 % in the 1970s to 87.5 % (Δ = 24.8 %) in the 2010s for White patients but only improving from 59.9 % to 80.8 % (Δ = 20.9 %) for Black patients (p < 0.01). The interaction between Race/Ethnicity and decade demonstrated that the Hazard Ratio (HR) for mortality worsened for Black [HR (95 % Confidence Interval): 1.10 (1.05-1.15) and Latino [1.11 (1.07-1.17)] patients compared to White, non-Latino patients.

CONCLUSION

There has been a dramatic improvement in survival across pediatric oncology patients since 1975. However, the improvement has not been shared equally across racial/ethnic categories, with overall survival worsening over time for racial/ethnic minorities compared to White patients.

LEVEL OF EVIDENCE

III.

Medical Record Level-Evaluation of Impact of Demographic and Socioeconomic Factors on Pediatric Neuro-Oncology Outcomes at Children's Hospital Colorado

Purpose

A medical record-level cohort study to investigate demographic and socioeconomic factors influencing treatment, timing of care, and survival outcomes in pediatric patients diagnosed with central nervous system (CNS) tumors.

Methods

Using electronic health records of patients at Children's Hospital Colorado from 1986-2020, we identified 898 patients treated for CNS tumors. The primary outcomes of interest were 5-year survival, timing of diagnosis, and treatment. Multivariable logistic regression and Cox regression were used to identify covariates associated with our outcomes of interest.

Results

We found that age, race, tumor type, diagnosis year, and social concerns influenced receipt and timing of treatment. Age, race, patient rural vs. urban residence, and tumor impacted survival outcomes. Time to presentation and treatment were significantly different between White and minority patients. American Indian/Alaska Native and Black patients were less likely to receive chemo compared to White patients (OR 0.28, 0.93 p = 0.037, < 0.001). Patients with 3 + social concerns were more likely to survive after 5 years than children with no or unknown social concerns (OR 1.84, p = 0.011). However, with an adjusted hazards ratio, children with 2 social concerns were less likely to survive to 5 years than children with no or unknown concerns (OR 0.58, p = 0.066).

Conclusions

Demographic and socioeconomic factors influence timing of care and survival outcomes in pediatric patients with CNS tumors. Minority status, age, social factors, rural, and urban patients experience differences in care. This emphasizes the importance of considering these factors and addressing disparities to achieve equitable care.

Demographic and treatment risk factors of cancer-specific mortality among children and adolescent leukemia patients: a population-based study

Leukemia is the 15th most commonly diagnosed cancer and the 11th leading cause of cancer mortality. The high mortality rate of leukemia could be attributed to numerous factors. Therefore, we aimed to identify the demographic and treatment risk factors influencing mortality among patients diagnosed with leukemia. Patients' data from 1975 to 2016 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. We used the Person's chi-square test to examine the associations among the categorical variables. Kaplan-Meier and Cox regression were applied for univariate and multivariate analyses. Standardized mortality ratios were utilized to compare the mortality rates of leukemia patients and the general US population. We carried out the statistical analysis using SPSS software. A total of 18,880 patients with leukemia were studied. The leukemia incidence was increased in children than in adolescents. Acute lymphoid leukemia (ALL) was the most common type diagnosed among children and adolescents: 10,331 and 4112 patients, respectively. All mortality ratios were significantly higher in leukemia patients compared to the US population. The risk of mortality among leukemia patients was higher among adolescents, females, Black, urban areas with a 20,000 population, and patients not receiving chemotherapy. In contrast, the mortality risk was decreased in patients with higher family incomes, those not treated with radiation, and diagnosed from 2000 to 2016. In conclusion, Leukemia's incidence increases with time. Adolescents, males, Black, in some urban areas, and patients who have not received chemotherapy had the highest mortality risk among leukemia patients.

An updated assessment of 43,110 patients enrolled in the Childhood Cancer Research Network: A Children's Oncology Group report

BACKGROUND

The Childhood Cancer Research Network (CCRN) was established by the Children's Oncology Group (COG) as a resource for epidemiologic studies of childhood cancer. The objective of this study was to evaluate the representativeness of CCRN and identify factors associated with enrollment.

METHOD

The number of US childhood patients with cancer diagnosed <20 years of age enrolled in CCRN (2008-2015) was compared to expected counts, calculated from Surveillance, Epidemiology, and End Results incidence rates and US Census population estimates. Observed-to-expected ratios and corresponding 95% confidence intervals (CI) were estimated across sex, race, diagnosis age, calendar year, and cancer diagnosis groups. Multivariable linear regression models were generated to evaluate the association between open COG phase 3 therapeutic trials and CCRN enrollment rates.

RESULT

The 43,110 cases enrolled in CCRN represented 36% of the expected childhood cancers diagnosed from 2008 to 2015 (N = 120,118). CCRN enrollment ratios [95% CI] were highest among males (0.38 [95% CI, 0.37-0.38]), non-Hispanics (0.35 [95% CI, 0.35-0.36]), and those diagnosed from 1 to 4 years of age (0.50 [95% CI, 0.50-51]). Enrollment ratios varied by diagnosis group, with leukemia, myeloproliferative diseases, myelodysplastic diseases (0.55 [95% CI, 0.54-0.55]), and renal tumors (0.55 [95% CI, 0.53-0.58]) having the highest enrollment. After adjusting for year of diagnosis and cancer diagnosis, there was a 3.1% [95% CI, 0.6-5.6%] increase in CCRN enrollment during windows of open COG therapeutic trials.

CONCLUSIONS

Despite enrolling only 36% of newly diagnosed cases, CCRN remains a valuable resource for investigators conducting childhood cancer etiology and survivorship research. The results of this study may inform efforts to improve enrollment on current and future COG nontherapeutic registry protocols.

Demographic and socioeconomic disparities in pediatric cancer in the United States: Current knowledge, deepening understanding, and expanding intervention

While survival of pediatric cancer has improved greatly over the past 40 years, demographic and socioeconomic disparities have meant that some groups have not benefitted as much from these advances. We conducted a rapid review to summarize literature on demographic and socioeconomic disparities in outcomes of childhood cancer, starting in 2000. We find that unequal outcomes have been noted for many of these groups across hematologic malignancies, central nervous system tumors, and other solid tumors, although occasional studies have noted absence of disparities for particular at-risk groups and diseases, and gaps in understanding of disparities for some cancer subtypes and groups still exist. These include disparities in duration of overall survival, risk of death, more extensive disease at presentation, and differences/delays in treatment. Black race, Hispanic ethnicity, lack of private insurance, and adolescent/young adult age are most often associated with these poorer outcomes. We then delve into documented and theorized causes of these disparities, including impaired access to care and clinical trials, differences in cancer biology, treatment non-adherence, language barriers, and implicit racial bias. Here, it is clear that socioeconomic factors account for a large proportion of disparities seen, although not all, and that the causes of disparities are complex and interconnected and still need to be better understood. Finally, in an effort to shift emphasis to addressing disparities, we review interventions against disparities that have been studied in childhood cancer patients and other populations, including improving clinical trial representation, communication, health literacy, and family navigation. We suggest ways forward in disparity mitigation toward a goal of achieving equitable cancer outcomes for all children.

Systems-Level Change to Alleviate Barriers to Cancer Clinical Trial Access for Adolescents and Young Adults in Australia

Purpose:

International data demonstrate association between clinical trial participation and reduced cancer mortality. Adolescents and young adults (AYA) have low clinical trial enrollment rates. We established a program to understand local barriers and develop targeted solutions that lead to greater AYA clinical trial participation.

Methods:

A steering committee (SC) with expertise in adult and pediatric oncology, research ethics, and consumer representation was formed. The SC mapped barriers related to AYA trial access and established working groups (WGs) around three themes.

Results:

The Regulatory Awareness WG identified a lack of understanding of processes that support protocol approval for clinical trials across the AYA age range. A guideline to raise awareness was developed. The Access WG identified challenges for young adults (18–25 years) to access a pediatric hospital to enroll in a pediatric trial. A procedure was developed to streamline applications for access. The first six applications using this procedure have been successful. The Availability WG identified lack of pediatric–adult oncology reciprocal relationships as a barrier to awareness of open trials, and future collaboration. An AYA Craft Group Framework was established to grow relationships within tumor streams across institutions; two craft groups are now operating locally. An additional achievement was a successful request to the Therapeutic Goods Administration for Australian adoption of the Food and Drug Administration Guidance on Considerations for the Inclusion of Adolescent Patients in Adult Oncology Clinical Trials.

Conclusion:

This multipronged approach to improving AYA clinical trial access has relevance for other health environments. Our knowledge products are available as an online toolkit.

Evaluation of Adolescents’ and Young Adults’ Attitudes Toward Participation in Cancer Clinical Trials

PURPOSE:

Participation in cancer clinical trials (CCTs) for adolescents and young adults (AYAs) remains the lowest of any patient group with cancer. Little is known about the personal barriers to AYA accrual. The aim of this study was to explore AYA attitudes that influence CCT participation.

METHODS:

A mixed-methods approach was used. AYAs and non-AYAs (≥ 40 years) completed the Cancer Treatment subscale of the Attitudes Toward Cancer Trials Scales and 9 supplementary questions formed from interview analysis. Differences between AYA and non-AYA cohorts were analyzed using the Mann-Whitney U test, and logistic regression models were constructed to evaluate the effect of demographics on perceptions of CCTs.

RESULTS:

Surveys were distributed to 61 AYAs (median age, 29 years; range, 17-39 years) and 74 non-AYAs (median age, 55 years; range, 40-88 years). Compared with non-AYAs, AYAs perceived CCTs to be unsafe/more difficult (Personal Barrier/Safety domain; P = .01). There were no differences based on age in other domains. AYAs were also more concerned with CCT interference in their long-term goals ( P = .04). Multivariable ordered logistic regression identified increased personal barriers in the Personal Barrier/Safety domain for AYAs ( P = .01), in patients with English as a second language (ESL; P < .01), and in patients previously not offered a clinical trial ( P = .03). Long-term goals were identified as a barrier in particular tumor types ( P = .01) and in patients with ESL ( P < .01), with a trend identified in AYAs ( P = .12).

CONCLUSION:

Age-related differences in attitudes toward CCTs suggest that tailored approaches to CCT accrual are warranted. Patient-centered delivery of information regarding CCTs, particularly in patients with ESL and who are trial naïve, may improve accrual.