Adolescent and young adult (AYA) cancer patients receive palliative medicine consultation at a late stage and face diagnostic delays. Failure to address social determinants of health (SDOH) and AYA-specific needs can adversely impact patient experience. This retrospective observational cohort study used data from chart review to assess the frequency of SDOH impacting AYA patients and setting of initial diagnosis at a US urban safety-net hospital. The association of SDOH variables with delays in treatment, loss of follow-up, and no-shows was tested using Chi-square and t-tests. One hundred seventy five patient charts were reviewed. Sixty-two percent were diagnosed in acute care settings. Substance use disorders, financial, employment, and insurance issues were associated with delayed treatment, with weak to moderate effect sizes. Mental health diagnoses, substance use disorder, homelessness, and financial burdens were associated with patient no-shows, with moderate to large effect sizes. Twenty-five percent of patients received palliative medicine consultation; 70% of these occurred at end of life. This study demonstrates the impact of SDOH on AYA cancer care and the need for policy allowing for intervention on SDOH.

OBJECTIVE: This scoping review describes the assessment methodologies for physical activity (PA) and physical fitness assessments used in studies focusing on adolescents and young adults (AYAs) diagnosed with cancer.
METHODS: A search of the literature was conducted in PubMed, CINAHL, Web of Science, and Cochrane Library following the PRISMA-ScR statement. A total of 34 studies were included in this review.
RESULTS: PA was primarily assessed via self-reported questionnaires (30/34) either completed in-person (n = 17) or online (n = 13) at different time points and different stages along the cancer trajectory (i.e., from diagnosis onward). A total of 9 studies conducted a physical fitness assessment.
CONCLUSIONS: PA and physical fitness measurements are key when trying to describe outcomes, assess for associations, track changes, measure intervention adherence, and test intervention efficacy and effectiveness. Considerable heterogeneity across studies was reported limiting the generation of formal recommendations or guidance for researchers, healthcare providers, and policy makers.

AYAs with cancer (aged 15 to 39 at primary diagnosis) form a specific group within oncology, and there is limited information on the impact on their informal caregivers. This scoping review aimed to gain insight into the burden on caregivers of AYAs with cancer and identify the unmet needs they might have. Eligible articles focused on impacts in one of the domains of caregiver burden (physical, psychological, social, on schedule, financial) or unmet needs. In all domains of caregiver burden, impact was reported by caregivers. Caregiving leads to physical problems (such as sleep problems) and psychological symptoms (e.g., depression, anxiety, and negative emotions). Loneliness is reported, and little peer-support. Many different tasks and roles must be undertaken, which is perceived as challenging. In addition, there is a financial impact and there are unmet needs to be met. Several domains of the lives of caregivers of AYA cancer patients are negatively affected by the disease. Some of these are age-specific, and tailored to a particular group of caregivers (parents, partners, or friends). AYA cancer patients represent a wide age range, resulting in the engagement of many different caregivers. Future research will need to take this into account in order to adequately provide support.

OBJECTIVE: Palliative care can improve the quality of life of adolescents and young adults (AYA) with cancer. However, little is known about the utilization of palliative care among AYA cancer patients. Identifying factors associated with the utilization of palliative care could inform efforts to improve palliative care access among AYA patients living with cancer.
METHODS: Using data from the National Inpatient Sample 2016-2019, a representative sample of US hospitalizations, we examined palliative care encounters and associated characteristics among hospitalizations of AYA with cancer and high inpatient mortality risk. Survey design-adjusted bivariate and multivariable logistic regression models were used to examine associations of patient- and hospital-level characteristics with palliative care.
RESULTS: Of 10,979 hospitalizations by AYA cancer patients with high mortality risk, 19.9% received palliative care services between 2016 and 2019. After adjusting for all characteristics, independent predictors of palliative care use were as follows: older age (25-39 years old vs. 25-39 years; odds ratio [OR] 1.31, 95% confidence interval [CI] 1.15-1.49), Hispanic/Latinx (vs. non-Hispanic White; OR 1.16, 95% CI 1.01-1.34), female (vs. male; OR 1.27, 95% CI 1.14-1.41), public insurance (vs. private insurance; OR 1.23, 95% CI 1.10-1.38), hospital location in the US South (vs. Northeast; OR 0.78, 95% CI 0.66-0.94), and a large hospital (vs. small; OR 0.83, 95% CI 0.72-0.96).
CONCLUSIONS: Less than 20% of AYAs with cancer and high risk of mortality received inpatient palliative care services. Further research is needed to explore the reasons for lower palliative care utilization in the younger age groups.