Prachi P. Chavan

Background: Pediatric cancer incidence has been increasing in the United States, despite improvement in pediatric cancer survival. This steady increase in incidence trends is not completely understood but maybe associated with social and environmental factors. In this study we aimed to assess the cumulative incidence, temporal trends, and mortality rates in pediatric cancer. Additionally, we examined sub-group variability in both incidence and mortality rates. Methods: Data from Surveillance, Epidemiology, and End Results (SEER) −18 from 1973–2014 were used for the purpose of analysis in this study. Age-adjusted incidence rates were used to assess temporal trends in cancer among children aged <1–19 years. Univariable and multivariable binomial regression models were used to examine the association between race and cancer mortality while adjusting for potential confounders. Results: There were 92,594 cancer diagnoses during this period. White children comprised 74,758, (80.7%), black children 10,030, (10.8%), and other races 6648, (7.2%). Overall the age-adjusted cumulative incidence was slightly higher among white children (16.4%) than black children (12.4%) and other (13.0%). Children aged 15–19 years and those in metropolitan regions were more likely to be diagnosed with pediatric cancer. Relative to females, males were 16% more likely to die from the disease [adjusted Risk Ratio (aRR): 1.16, 95% Confidence Interval (CI): 1.09–1.22]. Additionally, compared to white children, black children had higher mortality rates [(aRR): 1.37, 99% CI: 1.23–1.52]. Conclusions: There is an increasing trend in pediatric cancer incidence; while white children have the highest incidence, black children and males indicated a survival disadvantage, indicative of racial and sex variability in overall pediatric cancer in the United States.

Background: Serious illness conversation (SIC) in an important skillset for clinicians. A review of mortality meetings from an urban academic hospital highlighted the need for early engagement in SICs and advance care planning (ACP) to align medical treatments with patient-centered outcomes. The aim of this study was to increase SICs and their documentation in patients with low one-year survival probability identified by updated Charlson Comorbidity Index (CCI) scores. Methods: This was a quality improvement study with data collected pre- and post-intervention at a large urban level one trauma center in Virginia, which also serves as a primary teaching hospital to about 400 residents and fellows. Patient chart reviews were completed to assess medical records and hospitalization data. Chi square tests were used to identify statistical significance with the alpha level set at p = 0.0001) having EOC notes. Patients with documented EOC notes were significantly more likely to change their focus of care, prompting palliative care (63.04% vs. 50%, p = 0.007) and hospice consults (93.48% vs. 68.75%, p = 0.01), compared to those without. Post-intervention surveys revealed that although 50% of providers conducted SICs, fewer used EOC notes for documentation. Conclusion: This initial intervention suggests that the documentation of SICs increases engagement in ACP, palliative care, hospice consultations, and do not resuscitate decisions.

Purpose The purpose of this study was to examine the impact of physical limitations, functional limitations and self-assessed health status on mortality and healthcare utilization among older cancer survivors. Methods National Medicare Current Beneficiary Survey (MCBS) cost and use data from 2008 to 2013 were used for analysis. Physical limitations, Activities of Daily Living (ADL), and Instrumental Activities of Daily Living (IADL) were assessed on multiple questions, and self-assessed health was measured on a five-point scale (1–5: Excellent–Poor). Multivariable logistic regression and Poisson regression models were used for hospitalization, re-hospitalization and mortality rates based on three follow up years. Results This study included 17,715 cancer patients with a mean age of 75 years and 57% females. Cancer survivors with poor self-assessed health had a higher rate of hospitalizations (adjusted Odds Ratio: aOR: 1.60, 95% Confidence Interval: CI: 1.47–1.72, p < 0.001) relative to non-cancer participants. Compared to participants with no history of cancer, cancer survivors with IADL (aOR: 1.41, 95% CI: 1.25–1.58, p < 0.001) or with poor self-assessed health (aOR: 1.39, 95% CI: 1.21–1.60, p < 0.001) were more likely to have a higher number of hospital readmissions within 30 days of a prior hospitalization. Three-year mortality rate was significantly higher among cancer survivors with poor self-assessed health (Hazard Ratio: 2.81, 95% CI: 2.81–2.82, p < 0.001). Conclusion Self-assessed health and physical and functional limitations significantly and independently impact healthcare utilization and mortality among older cancer survivors. Healthcare providers should incorporate formal assessments of both self-assessed health and functional status among older cancer survivors in their clinical practice. Implication for cancer survivors Self-reported health status is a valuable and independent predictor of healthcare utilization and mortality among cancer survivors.

Background: Social and health inequities predispose vulnerable populations to adverse morbidity and mortality outcomes of epidemics and pandemics. While racial disparities in cumulative incidence (CmI) and mortality from the influenza pandemics of 1918 and 2009 implicated Blacks with survival disadvantage relative to Whites in the United States, COVID-19 currently indicates comparable disparities. We aimed to: (a) assess COVID-19 CmI by race, (b) determine the Black–White case fatality (CF) and risk differentials, and (c) apply explanatory model for mortality risk differentials. Methods: COVID-19 data on confirmed cases and deaths by selective states health departments were assessed using a cross-sectional ecologic design. Chi-square was used for CF independence, while binomial regression model for the Black–White risk differentials. Results: The COVID-19 mortality CmI indicated Blacks/AA with 34% of the total mortality in the United States, albeit their 13% population size. The COVID-19 CF was higher among Blacks/AA relative to Whites; Maryland, (2.7% vs. 2.5%), Wisconsin (7.4% vs. 4.8%), Illinois (4.8% vs. 4.2%), Chicago (5.9% vs. 3.2%), Detroit (Michigan), 7.2% and St. John the Baptist Parish (Louisiana), 7.9%. Blacks/AA compared to Whites in Michigan were 15% more likely to die, CmI risk ratio (CmIRR) = 1.15, 95% CI, 1.01–1.32. Blacks/AA relative to Whites in Illinois were 13% more likely to die, CmIRR = 1.13, 95% CI, 0.93–1.39, while Blacks/AA compared to Whites in Wisconsin were 51% more likely to die, CmIRR = 1.51, 95% CI, 1.10–2.10. In Chicago, Blacks/AA were more than twice as likely to die, CmIRR = 2.24, 95% CI, 1.36–3.88. Conclusion: Substantial racial/ethnic disparities are observed in COVID-19 CF and mortality with Blacks/AA disproportionately affected across the United States.

Objective: This study examines effects of physical and functional limitations on health care utilization among older cancer survivors, compared with those without cancer and without physical and functional limitations. Method: Medicare Current Beneficiary Survey data from 2008 to 2011 were used. Physical limitations (PL), activities of daily living (ADL), and instrumental activities of daily living (IADL) were measured on a 5-point scale. Propensity score weighting was developed using logistic regressions. Results: Older cancer survivors with physical and functional limitations had higher rate of emergency department visits than those without limitations (PL: 21.8% vs.17%, adjusted odds ratio [aOR]:1.72, 95% confidence interval [CI]: [1.26, 2.35], p < .05; ADL: 25.8% vs.17.4%, aOR: 2.68, 95% CI: [1.86, 3.86], p < .001), and higher cost of hospitalization (IADL: M = US$24,916, SD: 3,877.1). Conclusion: Older cancer survivors with physical and functional limitations had higher health care utilization compared with those without cancer. Addressing complex and unique health care needs in this population will help reduce excess burden on the health care system.

While survival in overall pediatric malignancy has improved during recent decades, brain/central nervous system (CNS) tumors has not demonstrated comparable survival advantage. Incidence and mortality data in this malignancy continue to illustrate race and sex differences; however, there are few data in the pediatric setting. This study sought to characterize brain/CNS tumors by socio-demographic and assess racial and sex variances in both cumulative incidence and mortality.

Background: Drug use remains an important public health concern in the United States, and understanding drug use among young adolescents is vital towards improving the health of the population. Objective: This study applied the Problem Behavior Theory (PBT) to lifetime drug use among a cross-sectional sample of Boy Scouts (N = 770). The PBT provides a conceptual framework for identifying risk and protective factors for adolescent problem behaviors, including drug use. Methods: Scouts reported their drug use and socio-demographics, and were assessed on several risk and protective factors. For analyses, sociodemographic and risk and protective factors were selected according to the framework provided by PBT, and use of each drug was regressed logistically on these selected factors. Final logistic models were assessed for goodness of fit and discriminatory power. Results: The PBT demonstrated discriminatory power for all drugs (Tjur's R² values ≥.29), but fell sharply for illicit drug use (Tjur's R² =.20). There were no consistent correlates of drug use. Conclusions/Importance: The PBT had less explanatory power for illicit drug use compared to tobacco, alcohol, and marijuana, which suggests different risk and protective factors were associated with illicit drug use.

Aims: This qualitative study explores and characterises barriers to methamphetamine recovery that emerge from users discussing anonymously their challenges in an online discussion forum. Methods: Anonymous letters and stories (N = 202), which were submitted to an online support forum for methamphetamine users and their loved ones, were analysed in Dedoose software using grounded theory methodology. Findings: Six perceived barriers emerged from the narratives, which were categorised as internal or external. The first three perceived barriers – low self-efficacy, conflicting thoughts about methamphetamine use, and side effects of withdrawal – were related to internal barriers, and the other three perceived barriers – escaping the drug environment, friends and family prevented recovery, and inadequate drug rehabilitation programmes – were related to external barriers. Conclusions: Methamphetamine users participating in an online discussion forum faced many internal and external barriers that impeded their recovery. These identified barriers were remarkably similar to barriers reported by users seeking treatment in conventional settings or recruited from drug networks, which suggests that methamphetamine users, in general, use multiple methods to assist with recovery and face many common barriers. Developing behavioural interventions that include online components may help remove some of the barriers and improve methamphetamine recovery.

Objective: The goal of this research is to delineate health care utilization among elderly Medicare beneficiaries with coexisting dementia and cancer compared with those with dementia alone, cancer alone, or neither condition. Method: The study cohort included 96,124 elderly patients aged 65 years and older who resided in the Mid-South region of the United States and were enrolled in Medicare during 2009. Multivariate regression analyses were used to examine health care utilizations while adjusting for sociodemographic characteristics. Results: Those with coexisting dementia and cancer diagnoses had higher rates of hospitalizations, hospital readmissions within 30 days, intensive care unit use, and emergency department visits compared with those with dementia only, cancer only, and those with neither condition. Patients with coexisting dementia and cancer also had a higher number of primary care visits and specialist visits. Conclusion: There is a greater need for developing tailored care plans for elderly with these two degenerative health conditions to address their unique health care needs and to reduce financial burden on the patients and the health care system.