Neighborhood Socioeconomic Deprivation and Mortality in Children with Central Nervous System Tumors

Socioeconomic Disparities in Pediatric Traumatic Brain Injury Transfer Patterns: An Analysis of Area Deprivation Index and Clinical Outcomes

BACKGROUND

Traumatic brain injury (TBI) poses a significant health burden, particularly among pediatric populations, leading to long-term cognitive, physical, and psychosocial impairments. Timely transfer to specialized trauma centers is crucial for optimal management, yet the influence of socioeconomic factors, such as the Area Deprivation Index (ADI), on transfer patterns remains understudied.

METHODS

A retrospective study was conducted on pediatric TBI patients presenting to a Level I Pediatric Trauma Center between January 2012 and July 2023. Transfer status, distance, mode of transport, and clinical outcomes were analyzed in relation to ADI. Statistical analyses were performed using Student t-test and analysis of variance.

RESULTS

Of 359 patients, 53.5% were transferred from outside hospitals, with higher ADI scores observed in transfer patients (P<0.01). Air transport was associated with greater distances traveled and higher ADI compared to ground ambulance (P<0.01). Despite similarities in injury severity, intensive care unit admission rates differed between transfer modes, with no significant impact on mortality.

CONCLUSIONS

High ADI patients were more likely to be transferred, suggesting disparities in access to specialized care. Differences in transfer modes highlight the influence of socioeconomic factors on logistical aspects. While transfer did not independently impact outcomes, disparities in intensive care unit admission rates were observed, possibly influenced by injury severity. Integrating socioeconomic data into clinical decision-making processes can inform targeted interventions to optimize care delivery and improve outcomes for all pediatric TBI patients. Prospective, multicenter studies are warranted to further elucidate these relationships.

Relationships of race and area deprivation indices to outcomes in pediatric patients with inflammatory bowel disease

OBJECTIVES

Social determinants of health (SDOH) are nonmedical factors that influence health outcomes. Children with chronic illnesses living with socioeconomic risk factors have higher rates of unfavorable health outcomes. Our study aimed to assess the association between area deprivation indices (ADI), as a proxy for SDOH, and outcomes in pediatric patients with inflammatory bowel disease (IBD).

METHODS

A retrospective chart review was conducted on 134 pediatric patients with IBD, ages 0-21 years. Explanatory variables were the patient's ADI and demographics. Outcomes were assessed from time of diagnosis over a 1-year follow-up period. The primary outcome was the ratio of missed to completed appointments; secondary outcomes were the numbers of IBD-related emergency department (ED) visits and IBD-related hospitalizations.

RESULTS

Race/ethnicity was significantly associated with ADI (p < 0.001). In a multivariable regression model, no variables were associated with ratio of missed to completed appointments. Notably, ADI was not significantly associated with the ratio of missed to completed appointments. In a Poisson regression, Black (non-Hispanic) and Hispanic race/ethnicity, Medicaid insurance, female gender, and lower age were significantly associated with more IBD-related ED visits; ADI was not. In a similar model, Black (non-Hispanic) race, Medicaid insurance status, and lower age were significantly associated with more IBD-related hospitalizations; ADI was not.

CONCLUSIONS

In our cohort, ADI was not significantly associated with the ratio of missed to completed appointments, IBD-related ED visits, and IBD-related hospitalizations; however, race/ethnicity, age at diagnosis, insurance, and gender were associated with these outcomes.

Health Literacy and Health-care Resource Utilization Following Gastrostomy Tube Placement in Pediatric Patients

INTRODUCTION

Parental health literacy and neighborhood socioeconomic disadvantage are associated with adverse health outcomes and increased health-care resource utilization in children. We sought to evaluate the association between community-level health literacy and neighborhood socioeconomic disadvantage and their relationships with outcomes of pediatric patients undergoing gastrostomy tube (GT) placement.

METHODS

Pediatric patients who underwent GT placement from 2000 to 2019 were identified using the IBM MarketScan Research database. Claims data were merged with the health literacy index (HLI) and area deprivation index (ADI), measures of community-level health literacy and neighborhood socioeconomic disadvantage, respectively. We used multivariate logistic regression to estimate factors associated with postoperative 30- and 90-day ED visits (EVs) and 30-day readmissions.

RESULTS

A total of 4374 pediatric patients underwent GT placement. In this cohort, 6.1% and 11.4% had 30-day and 90-day EV; and 30-day readmissions in 19.75%. HLI was lower in those with 30-(244.6 ± 6.1 versus 245.4 ± 6.1; P = 0.0482) and 90-(244.5 ± 5.8 versus 245.5 ± 6.1; P = 0.001) day EV, and 30-day readmission (244.5 ± 5.56 versus 245.4 ± 6.1; P = 0.001) related to GT. ADI was lower in those with 90-day EV (55.1 ± 13.1 versus 55.9 ± 14.6; P = 0.0244). HLI was associated with decreased odds of 30- (adjusted odds ratio: 0.968; 95% confidence interval: 0.941-0.997) and 90-day (adjusted odds ratio: 0.975; 95% confidence interval: 0.954-0.998) EV following GT placement. ADI was also significantly associated with 30 and 90-day EV following GT placement.

CONCLUSIONS

In pediatric patients undergoing GT placement, higher ecologically-measured health literacy and neighborhood socioeconomic disadvantage are associated with decreased health-care resource utilization, as evidenced by decreased ED visits. Future studies should focus on the role of individual parental health literacy in outcomes of pediatric surgical patients.

Social Determinants of Outcomes Disparity among Pediatric Patients with Solid Tumor

BACKGROUND

Socioeconomic factors have a significant impact on healthcare outcomes. Metrics such as area deprivation index (ADI) are used to quantify the anticipated influence of these factors. Here, we sought to assess the impact of socioeconomic factors on clinical outcomes among pediatric patients with solid tumor in our region.

STUDY DESIGN

We identified 3,863 pediatric patients who were diagnosed with a malignant solid tumor in the Texas Cancer Registry between 1995 and 2019. ADI was used to quantify socioeconomic determinants of health. These outcome variables were determined: stage of disease at diagnosis, time between diagnosis and treatment initiation, and overall mortality. Statistical analysis was performed using logistic regression, linear regression, Cox proportional hazards regression, and Kaplan-Meier survival curves.

RESULTS

A total of 53.5% of patients were male and the average age at diagnosis was 4.5 years. Forty-seven percent of patients were White, 13.3% were Black, 36.2% were Hispanic, 1.7% were Asian, and other rare minority groups made up 1.8%. On multivariable analysis, increased risk of death was associated with Black race, rare minority race, residence in a border county, and increasing ADI score, with the risk of death at 5 years rising 4% with each increasing ADI point.

CONCLUSIONS

Social determinants of health are associated with disparate outcomes among pediatric patients with solid tumor. Our results suggest that patients who are part of racial minority groups and those who reside in socioeconomically disadvantaged neighborhoods or regions near the Texas-Mexico border are at an increased risk of death. This information may be useful in strategizing outreach and expanding resources to improve outcomes in at-risk communities.

Impact of social disparities on 10 year survival rates in paediatric cancers: a cohort study

Background

Studies reporting on the impact of social determinants of health on childhood cancer are limited. The current study aimed to examine the relationship between health disparities, as measured by the social deprivation index, and mortality in paediatric oncology patients using a population-based national database.

Methods

In this cohort study of children across all paediatric cancers, survival rates were determined using the Surveillance, Epidemiology, and End Results (SEER) database from 1975 to 2016. The social deprivation index was used to measure and assess healthcare disparities and specifically the impact on both overall and cancer-specific survival. Hazard ratios were used to assess the association of area deprivation.

Findings

The study cohort was composed of 99,542 patients with paediatric cancer. Patients had a median age of 10 years old (IQR: 3-16) with 46,109 (46.3%) of female sex. Based on race, 79,984 (80.4%) of patients were identified as white while 10,801 (10.9%) were identified as Black. Patients from socially deprived areas had significantly higher hazard of death overall for both non-metastatic [1.27 (95% CI: 1.19-1.36)] and metastatic presentations [1.09 (95% CI: 1.05-1.15)] compared to in more socially affluent areas.

Interpretation

Patients from the most socially deprived areas had lower rates of overall and cancer-specific survival compared to patients from socially affluent areas. With an increase in childhood cancer survivors, implementation of social determinant indices, such as the social deprivation index, might aid improvement in healthcare outcomes for the most vulnerable patients.

Funding

There was no study sponsor or extramural funding.

Association of Modifiable Health Conditions and Social Determinants of Health With Late Mortality in Survivors of Childhood Cancer

IMPORTANCE

Associations between modifiable chronic health conditions (CHCs), social determinants of health, and late mortality (defined as death occurring ≥5 years after diagnosis) in childhood cancer survivors are unknown.

OBJECTIVE

To explore associations between modifiable CHCs and late mortality within the context of social determinants of health.

DESIGN, SETTING, AND PARTICIPANTS

This longitudinal cohort study used data from 9440 individuals who were eligible to participate in the St Jude Lifetime Cohort (SJLIFE), a retrospective cohort study with prospective clinical follow-up that was initiated in 2007 to characterize outcomes among childhood cancer survivors. Eligible individuals had survived 5 or more years after childhood cancer diagnosis, were diagnosed between 1962 and 2012, and received treatment at St Jude Children's Research Hospital were included in mortality estimates. A total of 3407 adult SJLIFE participants (aged ≥18 years) who completed an on-campus assessment were included in risk factor analyses. Vital status, date of death, and cause of death were obtained by linkage with the National Death Index (coverage from inception to December 31, 2016). Deaths occurring before inception of the National Death Index were obtained from the St Jude Children's Research Hospital Cancer Registry. Data were analyzed from June to December 2022.

EXPOSURES

Data on treatment exposures and causes of death were abstracted for individuals who were eligible to participate in the SJLIFE study. Information on modifiable CHCs (dyslipidemia, hypertension, diabetes, underweight or obesity, bone mineral deficiency, hypogonadism, hypothyroidism, and adrenal insufficiency, all graded by the modified Common Terminology Criteria for Adverse Events), healthy lifestyle index (smoking status, alcohol consumption, body mass index [calculated as weight in kilograms divided by height in meters squared], and physical activity), area deprivation index (ADI; which measures neighborhood-level socioeconomic disadvantage), and frailty (low lean muscle mass, exhaustion, low energy expenditure, slowness, and weakness) was obtained for participants.

MAIN OUTCOMES AND MEASURES

National Death Index causes of death were used to estimate late mortality using standardized mortality ratios (SMRs) and 95% CIs, which were calculated based on US mortality rates. For the risk factor analyses (among participants who completed on-campus assessment), multivariable piecewise exponential regression analysis was used to estimate rate ratios (RRs) and 95% CIs for all-cause and cause-specific late mortality.

RESULTS

Among 9440 childhood cancer survivors who were eligible to participate in the SJLIFE study, the median (range) age at assessment was 27.5 (5.3-71.9) years, and the median (range) duration of follow-up was 18.8 (5.0-58.0) years; 55.2% were male and 75.3% were non-Hispanic White. Survivors experienced increases in all-cause mortality (SMR, 7.6; 95% CI, 7.2-8.1) and health-related late mortality (SMR, 7.6; 95% CI, 7.0-8.2). Among 3407 adult SJLIFE participants who completed an on-campus assessment, the median (range) age at assessment was 35.4 (17.9-69.8) years, and the median (range) duration of follow-up was 27.3 (7.3-54.7) years; 52.5% were male and 81.7% were non-Hispanic White. Models adjusted for attained age, sex, race and ethnicity, age at diagnosis, treatment exposures, household income, employment status, and insurance status revealed that having 1 modifiable CHC of grade 2 or higher (RR, 2.2; 95% CI, 1.2-4.0; P = .01), 2 modifiable CHCs of grade 2 or higher (RR, 2.6; 95% CI, 1.4-4.9; P = .003), or 3 modifiable CHCs of grade 2 or higher (RR, 3.6; 95% CI, 1.8-7.1, P < .001); living in a US Census block with an ADI in the 51st to 80th percentile (RR, 5.5; 95% CI, 1.3-23.5; P = .02), an ADI in the 81st to 100th percentile (RR, 8.7; 95% CI, 2.0-37.6; P = .004), or an unassigned ADI (RR, 15.7; 95% CI, 3.5-70.3; P < .001); and having frailty (RR, 2.3; 95% CI, 1.3-3.9; P = .004) were associated with significant increases in the risk of late all-cause death. Similar associations were observed for the risk of late health-related death (1 modifiable CHC of grade ≥2: RR, 2.2 [95% CI, 1.1-4.4; P = .02]; 2 modifiable CHCs of grade ≥2: RR, 2.5 [95% CI, 1.2-5.2; P = .01]; 3 modifiable CHCs of grade ≥2: RR, 4.0 [95% CI, 1.9-8.4; P < .001]; ADI in 51st-80th percentile: RR, 9.2 [95% CI, 1.2-69.7; P = .03]; ADI in 81st-100th percentile: RR, 16.2 [95% CI, 2.1-123.7; P = .007], unassigned ADI: RR, 27.3 [95% CI, 3.5-213.6; P = .002]; and frailty: RR, 2.3 [95% CI, 1.2-4.1; P = .009]).

CONCLUSIONS AND RELEVANCE

In this cohort study of childhood cancer survivors, living in a Census block with a high ADI and having modifiable CHCs were independently associated with an increased risk of late death among survivors of childhood cancer. Future investigations seeking to mitigate these factors will be important to improving health outcomes and developing risk-stratification strategies to optimize care delivery to childhood cancer survivors.

Population-Based Impact of Rurality and Neighborhood-Level Socioeconomic Disadvantage on Pediatric Cancer Mortality in Washington State

BACKGROUND

Childhood cancer-related mortality differs by socioeconomic factors, but the impact of residential location, including rurality and neighborhood-level socioeconomic disadvantage, is not well-characterized.

METHODS

This retrospective cohort study linked Washington State cancer registry data (1992-2013) to state birth (1974-2013) and death records (1992-2013) to identify residents <20 years diagnosed with cancer (n = 4,306). Census-based rural-urban commuting area codes and Area Deprivation Index (ADI) defined rural residence and neighborhood socioeconomic disadvantage at time of cancer diagnosis, respectively. Neighborhoods in the highest state ADI quintile were classified as the most disadvantaged. Kaplan-Meier estimates and Cox hazards models, adjusted for key characteristics, were used to compare mortality by rural and ADI classification.

RESULTS

Five-year overall survival for children from non-rural low ADI neighborhoods (referent) was 80.9%±0.8%, versus 66.4%±2.9% from non-rural high ADI neighborhoods, 69.4%±3.8% from rural low ADI neighborhoods, and 66.9%±3.8% from rural high ADI neighborhoods (P < 0.01 for each comparison versus referent). Compared with the referent group, children from comparator neighborhoods had a greater mortality risk: Rural low ADI [hazard ratio (HR), 1.50; 95% confidence interval (CI), 1.12-2.02], rural high ADI (HR, 1.53; 95% CI, 1.16-2.01), and non-rural high ADI (HR, 1.64; 95% CI, 1.32-2.04). Associations of ADI and rurality with mortality varied in sub-analyses by cancer type.

CONCLUSIONS

Children with cancer living in rural and/or socioeconomically disadvantaged neighborhoods at diagnosis experienced greater mortality relative to those without either factor.

IMPACT

Future investigation is needed to examine how rurality and poverty potentially impact healthcare utilization and health-related outcomes in pediatric oncology.

Disparities in Postoperative Endocrine Outcomes After Endoscopic-Assisted Transsphenoidal Pituitary Adenoma Resection

Objectives Socioeconomic factors can influence morbidity in patients with pituitary adenoma. This study aims to identify associations between socioeconomic factors and postoperative outcomes in patients with pituitary adenomas. Methods A retrospective medical chart review was conducted on adult patients who underwent resection of purely sellar nonfunctional and functional pituitary adenomas between May 1, 2014, and May 31, 2020, at the University of North Carolina Medical Center. The main outcome measures included the incidence of postoperative diabetes insipidus (PDI), postoperative hyponatremia (PHN), and postoperative hypopituitarism (PHP). Outcome measures were analyzed using univariate and multivariate analyses against preoperative tumor volume as well as socioeconomic and demographic factors (self-identified race/ethnicity, age, gender, address assessed by the Area Deprivation Index (ADI), and insurance status). Results On univariate analysis, patients of Hispanic race/ethnicity and patients living in more disadvantaged neighborhoods had an increased incidence of postoperative diabetes insipidus. Patients who experienced PDI were significantly younger on average in both univariate and multivariate analyses. When analyzed further, patients of Hispanic race/ethnicity were significantly younger and more likely to be uninsured compared to their respective racial/ethnic counterparts. No significant correlations were found for PHN or PHP. Conclusions Patients of Hispanic race/ethnicity and patients living in more disadvantaged neighborhoods were more likely to experience PDI. This finding, when combined with findings regarding age and insurance status, suggests complex disparities in medical care that are confirmed or corroborated by prior literature. These results may enhance clinicians' management of patients from disadvantaged socioeconomic backgrounds through increased awareness of disparities and the provision of resources for assistance.