Association of Socioeconomic Status With Postdischarge Pediatric Resource Use and Quality of Life

Assessing Social Determinants of Health During Critical Illness: Implications and Methodologies

A growing body of literature has identified social determinants of health (SDoH) as potential contributors to health disparities in pediatric critical illness. Pediatric critical care providers should use validated screening tools to identify unmet social needs and ensure appropriate referral through multisector partnerships. Pediatric critical care researchers should consider factors outside of race and insurance status and explore the association between neighborhood-level factors and disparate health outcomes during critical illness. Measuring and addressing the SDoH at the individual and neighborhood level are important next steps in mitigating health disparities for critically ill pediatric patients.

Social Determinants of Health and Health-Related Quality of Life Following Pediatric Septic Shock: Secondary Analysis of the Life After Pediatric Sepsis Evaluation Dataset, 2014-2017

OBJECTIVES

Social determinants of health (SDOH) are associated with disparities in disease severity and in-hospital outcomes among critically ill children. It is unknown whether SDOH are associated with later outcomes. We evaluated associations between SDOH measures and mortality, new functional morbidity, and health-related quality of life (HRQL) decline among children surviving septic shock.

DESIGN

Secondary analysis of the Life After Pediatric Sepsis Evaluation (LAPSE) prospective cohort study was conducted between 2014 and 2017.

SETTING

Twelve academic U.S. PICUs were involved in the study.

PATIENTS

Children younger than 18 years with community-acquired septic shock were involved in the study.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We assessed associations between race, ethnicity, income, education, marital status, insurance, language, and home U.S. postal code with day 28 mortality, new functional morbidity at discharge per day 28, and HRQL decline using logistic regression. Of 389 patients, 32% ( n = 98) of families had household income less than $50,000 per year. Median Pediatric Risk of Mortality (PRISM) score was 11 (interquartile range 6, 17). We found that English language and Area Deprivation Index less than 50th percentile were associated with higher PRISM scores. Mortality was 6.7% ( n = 26), new functional morbidity occurred in 21.8% ( n = 78) of patients, and HRQL decline by greater than 10% occurred in 31.0% of patients ( n = 63). We failed to identify any association between SDOH measures and mortality, new functional morbidity, or HRQL decline. We are unable to exclude the possibility that annual household income greater than or equal to $50,000 was associated with up to 81% lesser odds of mortality and, in survivors, more than three-fold greater odds of HRQL decline by greater than 10%.

CONCLUSIONS

In this secondary analysis of the 2014-2017 LAPSE dataset, we failed to identify any association between SDOH measures and in-hospital or postdischarge outcomes following pediatric septic shock. This finding may be reflective of the high illness severity and single disease (sepsis) of the cohort, with contribution of clinical factors to functional and HRQL outcomes predominating over prehospital and posthospital SDOH factors.

The family burden of paediatric heart disease during the chronic phase of illness

BACKGROUND

CHD is a lifelong condition with a significant burden of disease to patients and families. With increased survival, attention has shifted to longer-term outcomes, with a focus on social determinants of health. Among children with CHD, socioeconomic status is associated with disparities in outcomes. Household material hardship is a concrete measure of poverty and may serve as an intervenable measure of socioeconomic status.

METHODS

A longitudinal survey study was conducted at multiple time points (at acute hospitalisation, then 12-24 months later in the chronic phase) to determine the prevalence of household material hardship among parents of children with advanced heart disease and quality of life during long-term follow-up.

RESULTS

The analytic cohort was 160 children with a median patient age of 1 year (IQR 1,4) with 54% of patients <2 years. During acute hospitalisation, over one-third of families reported household material hardship (37%), with significantly lower household material hardship in the chronic phase at 16% (N = 9 of 52). For parents reporting household material hardship during acute hospitalisation, 50% had resolution of household material hardship by the chronic phase. Household material hardship-exposed children were significantly more likely to be publicly insured (56% versus 20%, p = 0.03) with lower quality of life than those without household material hardship (64% versus 82%, p = 0.013).

CONCLUSION

The burden of heart disease during the chronic phase of illness is high. Household material hardship may serve as a target to ensure equity in the care and outcomes of CHD patients and their families.

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.

Child Opportunity Index and Emergent PICU Readmissions: A Retrospective, Cross-Sectional Study of 43 U.S. Hospitals

OBJECTIVES

To examine the association between a validated composite measure of neighborhood factors, the Child Opportunity Index (COI), and emergent PICU readmission during the year following discharge for survivors of pediatric critical illness.

DESIGN

Retrospective cross-sectional study.

SETTING

Forty-three U.S. children's hospitals contributing to the Pediatric Health Information System administrative dataset.

PATIENTS

Children (< 18 yr) with at least one emergent PICU admission in 2018-2019 who survived an index admission.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 78,839 patients, 26% resided in very low COI neighborhoods, 21% in low COI, 19% in moderate COI, 17% in high COI, and 17% in very high COI neighborhoods, and 12.6% had an emergent PICU readmission within 1 year. After adjusting for patient-level demographic and clinical factors, residence in neighborhoods with moderate, low, and very low COI was associated with increased odds of emergent 1-year PICU readmission relative to patients in very high COI neighborhoods. Lower COI levels were associated with readmission in diabetic ketoacidosis and asthma. We failed to find an association between COI and emergent PICU readmission in patients with an index PICU admission diagnosis of respiratory conditions, sepsis, or trauma.

CONCLUSIONS

Children living in neighborhoods with lower child opportunity had an increased risk of emergent 1-year readmission to the PICU, particularly children with chronic conditions such as asthma and diabetes. Assessing the neighborhood context to which children return following critical illness may inform community-level initiatives to foster recovery and reduce the risk of adverse outcomes.

Pediatric Critical Care Outcomes: State of the Science

Children who survive the pediatric intensive care unit (PICU) are at risk of developing post-intensive care syndrome in pediatrics (PICS-p). PICS-p, defined as new physical, cognitive, emotional, and/or social health dysfunction following critical illness, can affect the child and family. Historically, synthesizing PICU outcomes research has been challenging due to inconsistency in study design and in outcomes measurement. PICS-p risk may be mitigated by implementing intensive care unit best practices that limit iatrogenic injury and by supporting the resiliency of critically ill children and their families.

Screening for Social Determinants of Health in the Pediatric Intensive Care Unit: Recommendations for Clinicians

Social determinants of health (SDoH) play a significant role in the health and well-being of children in the United States. Disparities in the risk and outcomes of critical illness have been extensively documented but are yet to be fully explored through the lens of SDoH. In this review, we provide justification for routine SDoH screening as a critical first step toward understanding the causes of, and effectively addressing health disparities affecting critically ill children. Second, we summarize important aspects of SDoH screening that need to be considered before implementing this practice in the pediatric critical care setting.

An Antiracism Approach to Conducting, Reporting, and Evaluating Pediatric Critical Care Research

Reporting race and ethnicity without consideration for the complexity of these variables is unfortunately common in research. This practice exacerbates the systemic racism present in healthcare and research, of which pediatric critical care is not immune. Scientifically, this approach lacks rigor, as people are grouped into socially derived categories that are often not scientifically justified, and the field is denied the opportunity to examine closely the true associations between race/ethnicity and clinical outcomes. In this Special Article for Pediatric Critical Care Medicine, we introduce an antiracism approach to conducting, reporting, and evaluating pediatric critical care research. We propose four recommendations: 1) race and ethnicity are social constructs that should be evaluated as such, with researchers considering the context and relevance of related social determinants of health; 2) race and ethnicity data should be collected with sufficient detail to allow detection of meaningful results and minimize the risk of overgeneralizing findings; 3) as health equity research evolves, the pediatric critical care research field must adapt and proactively strive for inclusivity; and 4) the research community, including investigators, authors, research ethics committees, funding organizations, professional organizations, and journal editorial boards, are all accountable for rigorously conducting and reporting race/ethnicity in research. Taking an antiracism approach to research requires the field to ask the difficult question of why racial/ethnic differences exist to eliminate healthcare disparities and optimize healthcare outcomes for all children.