The effect of neighborhood and individual characteristics on pediatric critical illness

Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic Review

BACKGROUND

Electronic health records (EHRs) commonly contain patient addresses that provide valuable data for geocoding and spatial analysis, enabling more comprehensive descriptions of individual patients for clinical purposes. Despite the widespread use of EHRs in clinical decision support and interventions, no systematic review has examined the extent to which spatial analysis is used to characterize patient phenotypes.

OBJECTIVE

This study reviews advanced spatial analyses that used individual-level health data from EHRs within the United States to characterize patient phenotypes.

METHODS

We systematically evaluated English-language, peer-reviewed studies from the PubMed/MEDLINE, Scopus, Web of Science, and Google Scholar databases from inception to August 20, 2023, without imposing constraints on study design or specific health domains.

RESULTS

A substantial proportion of studies (>85%) were limited to geocoding or basic mapping without implementing advanced spatial statistical analysis, leaving only 49 studies that met the eligibility criteria. These studies used diverse spatial methods, with a predominant focus on clustering techniques, while spatiotemporal analysis (frequentist and Bayesian) and modeling were less common. A noteworthy surge (n=42, 86%) in publications was observed after 2017. The publications investigated a variety of adult and pediatric clinical areas, including infectious disease, endocrinology, and cardiology, using phenotypes defined over a range of data domains such as demographics, diagnoses, and visits. The primary health outcomes investigated were asthma, hypertension, and diabetes. Notably, patient phenotypes involving genomics, imaging, and notes were limited.

CONCLUSIONS

This review underscores the growing interest in spatial analysis of EHR-derived data and highlights knowledge gaps in clinical health, phenotype domains, and spatial methodologies. We suggest that future research should focus on addressing these gaps and harnessing spatial analysis to enhance individual patient contexts and clinical decision support.

Parent Perspectives on Social Risk Screening in the PICU

OBJECTIVE

Health inequities are widespread and associated with avoidable poor health outcomes. In the PICU, we are increasingly understanding how health inequities relate to critical illness and health outcomes. Experts recommend assessing for health inequities by screening for social determinants of health (SDOH) and adverse childhood experiences (ACEs); however, guidance on screening is limited and screening has not been universally implemented. Our study aimed to understand parent perspectives on screening for SDOH/ACEs in the PICU, with the primary objective of determining whether screening would be acceptable in this setting.

DESIGN

We conducted a qualitative study using semistructured interviews with a convenience sample of eleven PICU parents between November 2021 and January 2022.

SETTING

Urban, quaternary free-standing children's hospital.

SUBJECTS

Parents of children with a PICU hospitalization between November 2020 and October 2021.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Domains of interest included experience with and attitudes toward SDOH/ACEs screening, perspectives on addressing needs with/without resources and their relationship to health, and recommendations for screening. Interviews were transcribed verbatim and coded with an inductive approach using thematic analysis and constant comparative methods. Ann & Robert H. Lurie Children's Institutional Review Board approved this study (2021- 4781, Approved September 13, 2021). Ten participants found SDOH/ACEs screening to be acceptable and valuable in the PICU, even for topics without a readily available resource. Participants did not have broad experience with ACEs screening, though all believed this provided the medical team with valuable context regarding their child. Ten participants recommended screening occur after their child has been stabilized and that they are notified that screening is universal.

CONCLUSIONS

Participants found screening for SDOH/ACES to be acceptable and valuable in the PICU. Families have important insight that should be leveraged to improve the support of unmet needs through the development of strengths-based, parent-informed screening initiatives.

A multi-state analysis on the effect of deprivation and race on PICU admission and mortality in children receiving Medicaid in United States (2007-2014)

INTRODUCTION

In the United States (US), racial and socioeconomic disparities have been implicated in pediatric intensive care unit (PICU) admissions and outcomes, with higher rates of critical illness in more deprived areas. The degree to which this persists despite insurance coverage is unknown. We investigated whether disparities exist in PICU admission and mortality according to socioeconomic position and race in children receiving Medicaid.

METHODS

Using Medicaid data from 2007-2014 from 23 US states, we tested the association between area level deprivation and race on PICU admission (among hospitalized children) and mortality (among PICU admissions). Race was categorized as Black, White, other and missing. Patient-level ZIP Code was used to generate a multicomponent variable describing area-level social vulnerability index (SVI). Race and SVI were simultaneously tested for associations with PICU admission and mortality.

RESULTS

The cohort contained 8,914,347 children (23·0% Black). There was no clear trend in odds of PICU admission by SVI; however, children residing in the most vulnerable quartile had increased PICU mortality (aOR 1·12 (95%CI 1·04-1·20; p = 0·0021). Black children had higher odds of PICU admission (aOR 1·04; 95% CI 1·03-1·05; p < 0·0001) and higher mortality (aOR 1·09; 95% CI 1·02-1·16; p = 0·0109) relative to White children. Substantial state-level variation was apparent, with the odds of mortality in Black children varying from 0·62 to 1·8.

CONCLUSION

In a Medicaid cohort from 2007-2014, children with greater socioeconomic vulnerability had increased odds of PICU mortality. Black children were at increased risk of PICU admission and mortality, with substantial state-level variation. Our work highlights the persistence of sociodemographic disparities in outcomes even among insured children.

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.

Association of the Child Opportunity Index and Inpatient Illness Severity in the United States, 2018-2019

OBJECTIVE

Children residing in impoverished neighborhoods have reduced access to health care resources. Our objective was to identify potential associations between Child Opportunity Index (COI), a composite score of neighborhood characteristics, and inpatient severity of illness and clinical trajectory among United States (US) children.

METHODS

This retrospective cohort study assessed data using the Pediatric Health Information System Registry from 2018 to 2019. Primary exposure variable was COI level (range: very low [CO1 1], low [COI 2], moderate [COI 3], high [COI 4], and very high [COI 5]). Markers of inpatient clinical severity included index mortality, Pediatric Intensive Care Unit (PICU) admission, invasive mechanical ventilation (IMV), and hospital length of stay (LOS). Subgroup analysis of COI and clinical outcome variation by United States Census Geographic Regions was conducted. Adjusted regression analysis was utilized to understand associations between COI and inpatient clinical severity outcomes.

RESULTS

Of the 132,130 encounters, 44% resided in very low or low COI neighborhoods. In adjusted models, very low COI was associated with increased mortality (aOR: 1.35, 95% CI: 1.05-1.74, P = .018), PICU admission (aOR: 1.06, 95% CI: 1.02-1.11, P = 0.014), IMV (aOR: 1.12, 95% CI: 1.04-1.21, P = .002), and higher hospital LOS (P = .045). Regional variation by COI depicted the East North Central region having the highest rate of mortality (20.5%), P < .001, and PICU admissions (23%), P = .014.

CONCLUSIONS

Our multicenter, retrospective study highlights the interaction between neighborhood-level deprivation and worsened health disparities, indicating a need for prospective study.

Factors associated with family decision-making after pediatric out-of-hospital cardiac arrest

AIM

This study aims to identify demographic factors, area-based social determinants of health (SDOH), and clinical features associated with medical decision-making after pediatric out-of-hospital cardiac arrest (OHCA).

METHODS

This is a retrospective, exploratory, descriptive analysis of patients < 18 years old admitted to the pediatric intensive care unit (ICU) after OHCA from 2011 to 2022 (n = 217) at an urban tertiary care, free-standing children's hospital. Outcomes of interest included: (1) whether a new advance care plan (ACP) (defined as a written advance directive including do not resuscitate and/or do not intubate) was ordered during hospitalization, and (2) whether the patient was discharged with new medical technology (defined as tracheostomy and/or feeding tube). Logistic regression models identified features associated with these outcomes.

RESULTS

Of the 217 patients, 78 patients (36%) had a new ACP placed during their admission. Of the survivors, 26% (27/102) were discharged home with new medical technology. Factors associated with ACP were greater change in Pediatric Cerebral Performance Category (PCPC) score (aOR = 1.49, 95% CI [1.28-1.73], p-value < 0.001) and palliative care consultation (aOR = 2.39, 95% CI [1.16-4.89], p-value 0.018). Factors associated with new medical technology were lower change in PCPC score (aOR = 0.76, 95% C.I. [0.61-0.95], p-value = 0.015) and palliative care consultation (aOR = 7.07, 95% CI [3.01-16.60], p-value < 0.001). There were no associations between area-based SDOH and outcomes.

CONCLUSIONS

Understanding factors associated with decision-making related to ACP after OHCA is critical to optimize counseling for families. Multi-institutional studies are warranted to identify whether these findings are generalizable.

Understanding Disparities in the Pediatric ICU: A Scoping Review

BACKGROUND AND OBJECTIVES

Health disparities are pervasive in pediatrics. We aimed to describe disparities among patients who are likely to be cared for in the PICU and delineate how sociodemographic data are collected and categorized.

METHODS

Using MEDLINE as a data source, we identified studies which included an objective to assess sociodemographic disparities among PICU patients in the United States. We created a review rubric, which included methods of sociodemographic data collection and analysis, outcome and exposure variables assessed, and study findings. Two authors reviewed every study. We used the National Institute on Minority Health and Health Disparities Research Framework to organize outcome and exposure variables.

RESULTS

The 136 studies included used variable methods of sociodemographic data collection and analysis. A total of 30 of 124 studies (24%) assessing racial disparities used self- or parent-identified race. More than half of the studies (52%) dichotomized race as white and "nonwhite" or "other" in some analyses. Socioeconomic status (SES) indicators also varied; only insurance status was used in a majority of studies (72%) evaluating SES. Consistent, although not uniform, disadvantages existed for racial minority populations and patients with indicators of lower SES. The authors of only 1 study evaluated an intervention intended to mitigate health disparities. Requiring a stated objective to evaluate disparities aimed to increase the methodologic rigor of included studies but excluded some available literature.

CONCLUSIONS

Variable, flawed methodologies diminish our understanding of disparities in the PICU. Meaningfully understanding and addressing health inequity requires refining how we collect, analyze, and interpret relevant data.

Child Opportunity Index and Pediatric Intensive Care Outcomes: A Multicenter Retrospective Study in the United States

OBJECTIVES

To evaluate for associations between a child's neighborhood, as categorized by Child Opportunity Index (COI 2.0), and 1) PICU mortality, 2) severity of illness at PICU admission, and 3) PICU length of stay (LOS).

DESIGN

Retrospective cohort study.

SETTING

Fifteen PICUs in the United States.

PATIENTS

Children younger than 18 years admitted from 2019 to 2020, excluding those after cardiac procedures. Nationally-normed COI category (very low, low, moderate, high, very high) was determined for each admission by census tract, and clinical features were obtained from the Virtual Pediatric Systems LLC (Los Angeles, CA) data from each site.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Among 33,901 index PICU admissions during the time period, median patient age was 4.9 years and PICU mortality was 2.1%. There was a higher percentage of admissions from the very low COI category (27.3%) than other COI categories (17.2-19.5%, p < 0.0001). Patient admissions from the high and very high COI categories had a lower median Pediatric Index of Mortality 3 risk of mortality (0.70) than those from the very low, low, and moderate COI groups (0.71) ( p < 0.001). PICU mortality was lowest in the very high (1.7%) and high (1.9%) COI groups and highest in the moderate group (2.5%), followed by very low (2.3%) and low (2.2%) ( p = 0.001 across categories). Median PICU LOS was between 1.37 and 1.50 days in all COI categories. Multivariable regression revealed adjusted odds of PICU mortality of 1.30 (95% CI, 0.94-1.79; p = 0.11) for children from a very low versus very high COI neighborhood, with an odds ratio [OR] of 0.996 (95% CI, 0.993-1.00; p = 0.05) for mortality for COI as an ordinal value from 0 to 100. Children without insurance coverage had an OR for mortality of 3.58 (95% CI, 2.46-5.20; p < 0.0001) as compared with those with commercial insurance.

CONCLUSIONS

Children admitted to a cohort of U.S. PICUs were often from very low COI neighborhoods. Children from very high COI neighborhoods had the lowest risk of mortality and observed mortality; however, odds of mortality were not statistically different by COI category in a multivariable model. Children without insurance coverage had significantly higher odds of PICU mortality regardless of neighborhood.

Cognitive, Functional, and Quality of Life Outcomes 6 Months After Mechanical Ventilation for Bronchiolitis: A Secondary Analysis of Data From the Randomized Evaluation of Sedation Titration for Respiratory Failure Trial ( RESTORE )

OBJECTIVES

To describe rates and associated risk factors for functional decline 6 months after critical bronchiolitis in a large, multicenter dataset.

DESIGN

Nonprespecified secondary analysis of existing 6-month follow-up data of patients in the Randomized Evaluation of Sedation Titration for Respiratory Failure trial ( RESTORE , NCT00814099).

SETTING

Patients recruited to RESTORE in any of 31 PICUs in the United States, 2009-2013.

PATIENTS

Mechanically ventilated PICU patients under 2 years at admission with a primary diagnosis of bronchiolitis.

INTERVENTIONS

There were no interventions in this secondary analysis; in the RESTORE trial, PICUs were randomized to protocolized sedation versus usual care.

MEASUREMENTS AND MAIN RESULTS

"Functional decline," defined as worsened Pediatric Overall Performance Category and/or Pediatric Cerebral Performance Category (PCPC) scores at 6 months post-PICU discharge as compared with preillness baseline. Quality of life was assessed using Infant Toddler Quality of Life Questionnaire (ITQOL; children < 2 yr old at follow-up) or Pediatric Quality of Life Inventory (PedsQL) at 6 months post-PICU discharge. In a cohort of 232 bronchiolitis patients, 28 (12%) had functional decline 6 months postdischarge, which was associated with unfavorable quality of life in several ITQOL and PedsQL domains. Among 209 patients with normal baseline functional status, 19 (9%) had functional decline. In a multivariable model including all subjects, decline was associated with greater odds of worse baseline PCPC score and longer PICU length of stay (LOS). In patients with normal baseline status, decline was also associated with greater odds of longer PICU LOS.

CONCLUSIONS

In a random sampling of RESTORE subjects, 12% of bronchiolitis patients had functional decline at 6 months. Given the high volume of mechanically ventilated patients with bronchiolitis, this observation suggests many young children may be at risk of new morbidities after PICU admission, including functional and/or cognitive morbidity and reduced quality of life.

Reporting of social determinants of health in randomized controlled trials conducted in the pediatric intensive care unit

Introduction

The influence of social determinants of health (SDOH) on access to care and outcomes for critically ill children remains an understudied area with a paucity of high-quality data. Recent publications have highlighted the importance of incorporating SDOH considerations into research but the frequency with which this occurs in pediatric intensive care unit (PICU) research is unclear. Our objective was to determine the frequency and categories of SDOH variables reported and how these variables were defined in published PICU randomized controlled trials (RCTs).

Methods

We searched Medline, Embase, Lilacs, and Central from inception to Dec 2022. Inclusion criteria were randomized controlled trials of any intervention on children or their families in a PICU. Data related to study demographics and nine WHO SDOH categories were extracted, and descriptive statistics and qualitative data generated.

Results

586 unique RCTs were included. Studies had a median sample size of 60 patients (IQR 40-106) with 73.0% of studies including ≤100 patients and 41.1% including ≤50 patients. A total of 181 (181/586, 30.9%) studies reported ≥1 SDOH variable of which 163 (163/586, 27.8%) reported them by randomization group. The most frequently reported categories were food insecurity (100/586, 17.1%) and social inclusion and non-discrimination (73/586, 12.5%). Twenty-five of 57 studies (43.9%) investigating feeding or nutrition and 11 of 82 (13.4%) assessing mechanical ventilation reported baseline nutritional assessments. Forty-one studies investigated interventions in children with asthma or bronchiolitis of which six reported on smoking in the home (6/41, 14.6%).

Discussion

Reporting of relevant SDOH variables occurs infrequently in PICU RCTs. In addition, when available, categorizations and definitions of SDOH vary considerably between studies. Standardization of SDOH variable collection along with consistent minimal reporting requirements for PICU RCT publications is needed.

Family Presence at the PICU Bedside: A Single-Center Retrospective Cohort Study

OBJECTIVES

To determine factors associated with bedside family presence in the PICU and to understand how individual factors interact as barriers to family presence.

DESIGN

Mixed methods study.

SETTING

Tertiary children's hospital PICU.

SUBJECTS

Five hundred twenty-three children of less than 18 years enrolled in the Seattle Children's Hospital Outcomes Assessment Program from 2011 to 2017.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Quantitative: Family was documented every 2 hours. Exposures included patient and illness characteristics and family demographic and socioeconomic characteristics. We used multivariable logistic regression to identify factors associated with presence of less than 80% and stratified results by self-reported race. Longer PICU length of stay (LOS), public insurance, and complex chronic conditions (C-CD) were associated with family presence of less than 80%. Self-reported race modified these associations; no factors were associated with lower bedside presence for White families, in contrast with multiple associations for non-White families including public insurance, C-CD, and longer LOS. Qualitative: Thematic analysis of social work notes for the 48 patients with family presence of less than 80% matched on age, LOS, and diagnosis to 48 patients with greater than or equal to 95% family presence. Three themes emerged: the primary caregiver's prior experiences with the hospital, relationships outside of the hospital, and additional stressors during the hospitalization affected bedside presence.

CONCLUSIONS

We identified sociodemographic and illness factors associated with family bedside presence in the PICU. Self-reported race modified these associations, representing racism within healthcare. Family presence at the bedside may help identify families facing greater disparities in healthcare access.

Association Between Race/Ethnicity and Severity of Illness in Pediatric Cardiomyopathy and Myocarditis

INTRODUCTION

Previous reports demonstrate racial/ethnic differences in survival for children hospitalized with cardiomyopathy and myocarditis. The impact of illness severity, a potential mechanism for disparities, has not been explored.

METHODS

Using the Virtual Pediatric Systems (VPS, LLC), we identified patients ≤ 18 years old admitted to the intensive care unit (ICU) for cardiomyopathy/myocarditis. Multivariate regression models were used to evaluate the association between race/ethnicity and Pediatric Risk of Mortality (PRISM 3). Multivariate logistic and competing risk regression was used to examine the relationship between race/ethnicity and mortality, CPR, and ECMO.

RESULTS

Black patients had higher PRISM 3 scores on first admission (𝛽 = 2.02, 95% CI: 0.15, 3.90). There was no difference in survival across race/ethnicity over multiple hospitalizations. Black patients were less likely to receive a heart transplant (SHR = 0.65, 95% CI: 0.45-0.92). Black and unreported race/ethnicity had higher odds of CPR on first admission (OR = 1.64, 95% CI: 1.01-2.45; OR = 2.12, 95% CI: 1.11-4.08, respectively).

CONCLUSION

Black patients have higher severity of illness on first admission to the ICU, which may reflect differences in access to care. Black patients are less likely to receive a heart transplant. Additionally, Black patients and those with unreported race/ethnicity had higher odds of CPR, which was not mediated by severity of illness, suggesting variations in care may persist after admission.

Racial and Ethnic Variation in ECMO Utilization and Outcomes in Pediatric Cardiac ICU Patients

Background

Previous studies have reported racial disparities in extracorporeal membrane oxygenation (ECMO) utilization in pediatric cardiac patients.

Objectives

The objective of this study was to determine if there was racial/ethnic variation in ECMO utilization and, if so, whether mortality was mediated by differences in ECMO utilization.

Methods

This is a multicenter, retrospective cohort study of the Pediatric Cardiac Critical Care Consortium clinical registry. Analyses were stratified by hospitalization type (medical vs surgical). Logistic regression models were adjusted for confounders and evaluated the association between race/ethnicity with ECMO utilization and mortality. Secondary analyses explored interactions between race/ethnicity, insurance, and socioeconomic status with ECMO utilization and mortality.

Results

A total of 50,552 hospitalizations from 34 hospitals were studied. Across all hospitalizations, 2.9% (N = 1,467) included ECMO. In medical and surgical hospitalizations, Black race and Hispanic ethnicity were associated with severity of illness proxies. In medical hospitalizations, race/ethnicity was not associated with the odds of ECMO utilization. Hospitalizations of other race had higher odds of mortality (adjusted odds ratio [aOR]: 1.61; 95% CI: 1.22-2.12; P = 0.001). For surgical hospitalizations, Black (aOR: 1.24; 95% CI: 1.02-1.50; P = 0.03) and other race (aOR: 1.50; 95% CI: 1.17-1.93; P = 0.001) were associated with higher odds of ECMO utilization. Hospitalizations of Hispanic patients had higher odds of mortality (aOR: 1.31; 95% CI: 1.03-1.68; P = 0.03). No significant interactions were demonstrated between race/ethnicity and socioeconomic status indicators with ECMO utilization or mortality.

Conclusions

Black and other races were associated with increased ECMO utilization during surgical hospitalizations. There were racial/ethnic disparities in outcomes not explained by differences in ECMO utilization. Efforts to mitigate these important disparities should include other aspects of care.

The influence of disparities on intensive care outcomes in children with respiratory diseases: A systematic review

CONTEXT

The negative effects of socioeconomic, environmental and ethnic inequalities on childhood respiratory diseases are known in the development of persistent asthma and can result in adverse outcomes. However, little is known about the effects of these disparities on pediatric intensive care unit (PICU) outcomes in respiratory diseases.

OBJECTIVE

The purpose of this systematic review is to evaluate the literature on disparities in socioeconomic, environmental and ethnic determinants and PICU outcomes. We hypothesize that these disparities negatively influence the outcomes of children's respiratory diseases at the PICU.

METHODS

A literature search (in PubMed, Embase.com and Web of Science Core Collection) was performed up to September 30, 2022. Two authors extracted the data and independently evaluated the risk of bias with appropriate assessment methods. Articles were included if the patients were below 18 years of age (excluding neonatal intensive care unit admissions), they concerned respiratory diseases and incorporated socioeconomic, ethnic or environmental disparities.

RESULTS

Eight thousand seven hundred fourty-six references were reviewed, and 15 articles were included; seven articles on the effect of socioeconomic status, five articles on ethnicity, one on the effect of sex and lastly two on environmental factors. All articles but one showed an unfavorable outcome at the PICU.

CONCLUSION

Disparities in socioeconomic (such as a low-income household, public health insurance), ethnic and environmental factors (such as exposure to tobacco smoke and diet) have been assessed as risk factors for the severity of children's respiratory diseases and can negatively influence the outcomes of these children admitted and treated at the PICU.

Neighborhood Poverty and Distance to Pediatric Hospital Care

OBJECTIVE

To describe the relationship between neighborhood poverty and geographic access to pediatric inpatient care.

METHODS

This is a retrospective, cross-sectional study using 2017-18 hospital and demographic data, as well as geographic data from the 2010 census. Acute care hospitals in 17 states were included, comprising approximately one-third of the national population. The main outcome was distance to capable pediatric hospital care by neighborhood Area Deprivation Index (ADI), both overall and by urbanicity.

RESULTS

Median distance to pediatric hospital care increased linearly with poverty across ADI national deciles (Pearson coefficient of 0.986; P < .001). The most advantaged neighborhoods were a median of 2.5 miles from the nearest pediatric capable hospital (interquartile range [IQR] 1.2-5.6) while those in the most disadvantaged were a median of 13.8 miles away (IQR 3.3-35.9; P < .001). The nearest hospital admitted children in 51.17% (7927) of advantaged neighborhoods (lowest national ADI quintile) and only 26.02% (3729) of disadvantaged neighborhoods (highest national ADI quintile). The association between poverty and median distance to care was observed in rural, suburban, and urban census block groups (P < .001 for all trends). In suburban neighborhoods, children from the most disadvantaged neighborhoods were 3 times as likely as children from the most advantaged neighborhoods to live more than 20 miles from pediatric inpatient care (27.85%, 456,533 of children from bottom quintile neighborhoods vs 9.24%, 259,787 of children from top quintile neighborhoods, P < .001).

CONCLUSIONS

Distances to capable pediatric hospital care are greater from poor than affluent neighborhoods. This carries potential implications for disparities in pediatric health outcomes.

Insight into the Role of the Child Opportunity Index on Surgical Outcomes in Congenital Heart Disease

OBJECTIVE

To use neighborhood-level Child Opportunity Index (COI) measures to investigate disparities in congenital heart surgery postoperative outcomes and identify potential targets for intervention.

STUDY DESIGN

In this single-institution retrospective cohort study, children <18 years old who underwent cardiac surgery between 2010 and 2020 were included. Patient-level demographics and neighborhood-level COI were used as predictor variables. COI-a composite US census tract-based score measuring educational, health/environmental, and social/economic opportunities-was dichotomized as lower (<40th percentile) vs higher (≥40th percentile). Cumulative incidence of hospital discharge was compared between groups using death as a competing risk, adjusting for clinical characteristics associated with outcomes. Secondary outcomes included hospital readmission and death within 30 days.

RESULTS

Among 6247 patients (55% male) with a median age of 0.8 years (IQR, 0.2-4.3), 26% had lower COI. Lower COI was associated with longer hospital lengths of stay (adjusted HR, 1.2; 95% CI, 1.1-1.2; P < .001) and an increased risk of death (adjusted OR, 2.0; 95% CI. 1.4-2.8; P < .001), but not hospital readmission (P = .6). At the neighborhood level, lacking health insurance coverage, food/housing insecurity, lower parental literacy and college attainment, and lower socioeconomic status were associated with longer hospital length of stay and increased risk of death. At the patient-level, public insurance (adjusted OR, 1.4; 95% CI, 1.0-2.0; P = .03) and caretaker Spanish language (adjusted OR 2.4; 95% CI, 1.2-4.3; P < .01) were associated with an increased risk of death.

CONCLUSIONS

Lower COI is associated with longer length of stay and higher early postoperative mortality. Risk factors identified including Spanish language, food/housing insecurity, and parental literacy serve as potential intervention targets.

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.

Epidemiology of Intensive Care Admissions for Children in the US From 2001 to 2019

Importance

Estimates of the number of US children receiving intensive care unit (ICU) care and ICU admission patterns over time are lacking.

Objective

To determine how ICU admission patterns, use of critical care services, and the characteristics and outcomes of critically ill children have changed from 2001 to 2019.

Design, Setting, and Participants

This population-based retrospective cohort study used data from the Healthcare Cost and Utilization Project's state inpatient databases from a total of 21 US states in 2001, 2004, 2010, 2016, and 2019. Hospitalized children aged 0 to 17 years, excluding newborns (during birth hospitalization), were included. Patients admitted to rehabilitation institutions or psychiatric hospitals were also excluded. Data were analyzed from July 2021 to December 2022.

Exposures

Care in a nonneonatal ICU.

Main Outcomes and Measures

From extracted patient data, International Classification of Diseases, Ninth Revision, Clinical Modification, and Tenth Revision, Clinical Modification, codes were used to identify diagnoses, comorbid conditions, organ failures, and mechanical ventilation. Generalized linear Poisson regression and the Cuzick test were used to evaluate trends. US Census data were used to generate age- and sex-adjusted national estimates of ICU admissions and costs.

Results

Of 2 157 991 pediatric admissions, 275 656 (12.8%) included ICU care. The mean (SD) age was 6.43 (6.10) years; 121 894 individuals were female (44.2%), and 153 731 were male (55.8%). From 2001 to 2019, the prevalence of ICU care among hospitalized children increased from 10.6% to 15.5%. The percentage of ICU admissions in children's hospitals rose from 51.2% to 85.1% (relative risk [RR], 1.66; 95% CI, 1.64-1.68). The percentage of children admitted to an ICU with an underlying comorbidity increased from 46.2% to 57.0% (RR, 1.23; 95% CI, 1.22-1.25), and the percentage with preadmission technology dependence increased from 16.4% to 23.5% (RR, 1.44; 95% CI, 1.40-1.48). The prevalence of multiple organ dysfunction syndrome increased from 6.8% to 21.0% (RR, 3.12; 95% CI, 2.98-3.26), while mortality decreased from 2.5% to 1.8% (RR, 0.72; 95% CI, 0.66-0.79). Hospital length of stay increased by 0.96 days (95% CI, 0.73-1.18) for ICU admissions from 2001 to 2019. After inflation adjustment, total costs for a pediatric admission involving ICU care nearly doubled between 2001 and 2019. Nationally, an estimated 239 000 children were admitted to a US ICU in 2019, corresponding to $11.6 billion in hospital costs.

Conclusions and Relevance

In this study, the prevalence of children receiving ICU care in the US increased, as did length of stay, technology use, and associated costs. The US health care system must be equipped to care for these children in the future.

Geographic Variation in Acute Pediatric Mental Health Utilization

OBJECTIVE

To identify locations with higher need for acute pediatric mental health (MH) interventions or services and describe these communities' socio-demographic characteristics.

METHODS

This single-center retrospective study included patients 5 to 18 years old with an emergency department (ED) or hospital admission between 2017 and 2019 for a primary known MH diagnosis or symptoms. We extracted visit data from the electronic medical record, mapped patients to their home census tract, calculated normalized visit rates by census tract, and performed spatial analysis to identify nonrandom geographic clusters and outliers of high utilization. Census tract utilization rates were stratified into quartiles, and socioeconomic and demographic characteristics obtained from the US Census Bureau were compared using analysis of variance, chi-square tests, and multivariable analysis.

RESULTS

There were 10,866 qualifying visits across 617 census tracts. ED and hospital admission rates ranged from 2.7 to 428.6 per 1000 children. High utilization clusters localized to neighborhoods with lower socioeconomic status (p < .05). Southern regions with high utilizers were more likely to have fewer children per neighborhood, higher rates of teen births, and lower socioeconomic status. Multivariate analysis showed regions with high utilizers had fewer children per neighborhood, lower median household income, and more families that lacked computer access.

CONCLUSION

ED and hospital utilization for pediatric MH concerns varied significantly by neighborhood and demographics. Divergent social factors map onto these locations and are related to MH utilization. Leveraging geography can be a powerful tool in the development of targeted, culturally tailored interventions to decrease acute pediatric MH utilization and advance child MH equity.

Child Opportunity Index and Hospital Utilization in Children With Traumatic Brain Injury Admitted to the PICU

The need to understand how Community-based disparities impact morbidity and mortality in pediatric critical illness, such as traumatic brain injury. Test the hypothesis that ZIP code-based disparities in hospital utilization, including length of stay (LOS) and hospital costs, exist in a cohort of children with traumatic brain injury (TBI) admitted to a PICU using the Child Opportunity Index (COI).

DESIGN

Multicenter retrospective cohort study.

SETTING

Pediatric Health Information System (PHIS) database.

PATIENTS

Children 0-18 years old admitted to a PHIS hospital with a diagnosis of TBI from January 2016 to December 2020 requiring PICU care. To identify the most severely injured children, a study-specific definition of "Complicated TBI" was created based on radiology, pharmacy, and procedure codes.

INTERVENTIONS

None.

Main Outcomes and Measures

Using nationally normed ZIP code-level COI data, patients were categorized into COI quintiles. A low COI ZIP code has low childhood opportunity based on weighted indicators within educational, health and environmental, and social and economic domains. Population-averaged generalized estimating equation (GEE) models, adjusted for patient and clinical characteristics examined the association between COI and study outcomes, including hospital LOS and accrued hospital costs. The median age of this cohort of 8,055 children was 58 months (interquartile range [IQR], 8-145 mo). There were differences in patient demographics and rates of Complicated TBI between COI levels. The median hospital LOS was 3.0 days (IQR, 2.0-6.0 d) and in population-averaged GEE models, children living in very low COI ZIP codes were expected to have a hospital LOS 10.2% (95% CI, 4.1-16.8%; p = 0.0142) longer than children living in very high COI ZIP codes. For the 11% of children with a Complicated TBI, the relationship between COI and LOS was lost in multivariable models. COI level was not predictive of accrued hospital costs in this study.

CONCLUSIONS

Children with TBI requiring PICU care living in low-opportunity ZIP codes have higher injury severity and longer hospital LOS compared with children living in higher-opportunity ZIP codes. Additional studies are needed to understand why these differences exist.

Exploring Latino Perspectives in Childhood Fever: Beliefs, Practices, and Needs

INTRODUCTION

Latino parents have significant knowledge gaps and misconceptions about fever. In this study, we explored Latino beliefs and practices around fever and its impact on their care decisions.

METHODS

A qualitative-focused ethnography was conducted with 21 Latino parents. Semi-structured interviews were completed, and inductive thematic analysis was used to identify themes and subthemes.

RESULTS

Three major themes emerged: (a) the meaning of fever; (b) seeking guidance; and (c) navigating fever. Subthemes included: a sign of folk illness, a sign of infection, trust in health care providers, watchful waiting, and barriers and needs.

DISCUSSION

Latino parents have significant knowledge gaps about the role of fever in illness. They engage multiple systems of care but rarely share their fears with health care providers. Culturally-sensitive interventions incorporating traditional and biomedical approaches are needed. Findings can help inform future interventions targeting knowledge gaps in this population.

Geospatial Analysis of Social Determinants of Health Identifies Neighborhood Hot Spots Associated With Pediatric Intensive Care Use for Acute Respiratory Failure Requiring Mechanical Ventilation

OBJECTIVES

Poverty, racial bias, and disparities are linked to adverse health outcomes for children in the United States. The social vulnerability and child opportunity indices are composite measures of the social, economic, education, health, and environmental qualities that affect human health for every U.S. census tract. Composite measures of social vulnerability and child opportunity were compared for neighborhood hot spots, where PICU admissions for acute respiratory failure requiring invasive mechanical ventilation were at the 90th percentile or greater per 1,000 children, versus non-hot spots.

DESIGN

Population-based ecological study.

SETTING

Two urban free-standing children's hospital PICUs consisting of a 36-bed quaternary academic and a 56-bed tertiary community center, in Atlanta, GA.

PATIENTS

Mechanically ventilated children who were 17 years of age or younger with a geocodable Georgia residential address admitted to a PICU for at least 1 day.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Residential addresses were geocoded and spatially joined to census tracts. Composite measures of social vulnerability and childhood opportunity, PICU readmission rates, and hospital length of stay were compared between neighborhood hot spots versus non-hot spots. There were 340 of 3,514 children (9.7%) who lived within a hot spot. Hot spots were associated with a higher (worse) composite social vulnerability index ranking, reflecting differences in socioeconomic status, household composition and disability, and housing type and transportation. Hot spots also had a lower (worse) composite childhood opportunity index percentile ranking, reflecting differences in the education, health and environment, and social and economic domains. Higher social vulnerability and lower childhood opportunity were not associated with readmission rates but were associated with longer total median duration of hospital days per 1,000 children in a census tract.

CONCLUSIONS

Social determinants of health identified by geospatial analyses are associated with acute respiratory failure requiring invasive mechanical ventilation in critically ill children. Interventions addressing the neighborhood social vulnerability and child opportunity are needed to decrease disparities in intensive care admissions for acute respiratory failure requiring mechanical ventilation.

Adverse Childhood Experiences and Patient-Reported Outcome Measures in Critically Ill Children

Adverse childhood experiences (ACEs) are linked to adverse health outcomes for adults and children in the United States. The prevalence of critically ill children who are exposed to ACEs is not known. Our objective was to compare the frequency of ACEs of critically ill children with that of the general pediatric population of Georgia and the United States using publicly available National Survey of Children's Health (NSCH) data. The impact of ACEs on patient-reported outcome measures of emotional, social, and physical health in critically ill children is not known. We sought to determine whether a higher total number of ACEs was associated with poorer patient-reported measures of emotional, social, and physical health. We conducted a prospective cross-sectional study of children < 18 years of age who were admitted to a 36-bed free-standing, quaternary academic pediatric intensive care unit in Atlanta, Georgia from June 2020-December 2021. Parents of patients who were admitted to the pediatric intensive care unit completed a survey regarding their child's ACEs, health care use patterns, and patient-reported outcome measures (PROMIS) of emotional, social, and physical health. Prevalence estimates of ACEs were compared with national and state data from the NSCH using Rao-Scott Chi-square tests. PROMIS measures reported within the PICU cohort were compared with population normed T-scores. The association of cumulative ACEs within the PICU cohort with patient-reported outcomes of emotional, social, and physical health were evaluated with a t-test. Among the 84 participants, 54% had ≥ 1 ACE, 29% had ≥ 2 ACEs, and 10% had ≥ 3 ACEs. Children with ≥ 2 ACEs had poorer anxiety and family relationship T-scores compared to those with ≤ 1 ACE. Given the high burden of ACEs in critically ill children, screening for ACEs may identify vulnerable children that would benefit from interventions and support to mitigate the negative effects of ACEs and toxic stress on emotional, social, and physical health.

High-Risk Neighborhoods and Neurodevelopmental Outcomes in Infants Born Preterm

OBJECTIVE

To study the association between neighborhood risk and moderate to severe neurodevelopmental impairment (NDI) at 22-26 months corrected age in children born at <34 weeks of gestation. We hypothesized that infants born preterm living in high-risk neighborhoods would have a greater risk of NDI and cognitive, motor, and language delays.

STUDY DESIGN

We studied a retrospective cohort of 1291 infants born preterm between 2005 and 2016, excluding infants with congenital anomalies. NDI was defined as any one of the following: a Bayley Scales of Infant and Toddler Development-III Cognitive or Motor composite score <85, bilateral blindness, bilateral hearing impairment, or moderate-severe cerebral palsy. Maternal addresses were geocoded to identify census block groups and create high-risk versus low-risk neighborhood groups. Bivariate and regression analyses were run to assess the impact of neighborhood risk on outcomes.

RESULTS

Infants from high-risk (n = 538; 42%) and low-risk (n = 753; 58%) neighborhoods were compared. In bivariate analyses, the risk of NDI and cognitive, motor, and language delays was greater in high-risk neighborhoods. In adjusted regression models, the risks of NDI (OR, 1.43; 95% CI, 1.04-1.98), cognitive delay (OR, 1.62; 95% CI, 1.15-2.28), and language delay (OR, 1.58; 95% CI, 1.15-2.16) were greater in high-risk neighborhoods. Breast milk at discharge was more common in low-risk neighborhoods and was protective of NDI in regression analysis.

CONCLUSIONS

High neighborhood risk provides an independent contribution to preterm adverse NDI, cognitive, and language outcomes. In addition, breast milk at discharge was protective. Knowledge of neighborhood risk may inform the targeted implementation of programs for socially disadvantaged infants.

Analyzing Relationships Between Economic and Neighborhood-Related Social Determinants of Health and Intensive Care Unit Length of Stay for Critically Ill Children With Medical Complexity Presenting With Severe Sepsis

Objectives

Of the Social Determinants of Health (SDoH), we evaluated socioeconomic and neighborhood-related factors which may affect children with medical complexity (CMC) admitted to a Pediatric Intensive Care Unit (PICU) in Shelby County, Tennessee with severe sepsis and their association with PICU length of stay (LOS). We hypothesized that census tract-level socioeconomic and neighborhood factors were associated with prolonged PICU LOS in CMC admitted with severe sepsis in the underserved community.

Methods

This single-center retrospective observational study included CMC living in Shelby County, Tennessee admitted to the ICU with severe sepsis over an 18-month period. Severe sepsis CMC patients were identified using an existing algorithm incorporated into the electronic medical record at a freestanding children's hospital. SDoH information was collected and analyzed using patient records and publicly available census-tract level data, with ICU length of stay as the primary outcome.

Results

83 encounters representing 73 patients were included in the analysis. The median PICU LOS was 9.04 days (IQR 3.99–20.35). The population was 53% male with a median age of 4.1 years (IQR 1.96–12.02). There were 57 Black/African American patients (68.7%) and 85.5% had public insurance. Based on census tract-level data, about half (49.4%) of the CMC severe sepsis population lived in census tracts classified as suffering from high social vulnerability. There were no statistically significant relationships between any socioeconomic and neighborhood level factors and PICU LOS.

Conclusion

Pediatric CMC severe sepsis patients admitted to the PICU do not have prolonged lengths of ICU stay related to socioeconomic and neighborhood-level SDoH at our center. A larger sample with the use of individual-level screening would need to be evaluated for associations between social determinants of health and PICU outcomes of these patients.

Socioeconomic Disadvantage and Distance to Pediatric Critical Care

OBJECTIVES

To describe the geography of pediatric critical care services and the relationship between poverty and distance to these services across the United States.

DESIGN

Retrospective, cross-sectional study.

SETTING

Contiguous United States.

PATIENTS

Children less than 18 years as represented in the 2016 American Community Survey.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Pediatric critical care services were geographically concentrated within urban areas, with half of all PICUs located within 9.5 miles of another (interquartile range, 3.4-51.5 miles). Median distances from neighborhoods to the nearest unit increased linearly with Area Deprivation Index (p < 0.001), such that the median distance from the least privileged neighborhoods was nearly three times that of the most privileged neighborhoods (first decile = 7.8 miles [interquartile range, 3.4-15.8 miles] vs tenth decile = 22.6 miles [interquartile range, 4.2-52.5 miles]; p < 0.001). A relationship between neighborhood poverty and distance to a PICU was present across all U.S. regions and within urban/suburban and rural areas.

CONCLUSIONS

In the United States, the distance to pediatric critical care services increases with poverty. This carries implications for access to care and health outcome disparities.

Income-driven socioeconomic status and presenting illness severity in children with acute respiratory failure

Children living in low socioeconomic communities are vulnerable to poor health outcomes, especially when critically ill. The purpose of this study was to investigate the association between socioeconomic status (SES) and illness severity upon pediatric intensive care unit (PICU) admission in children with acute respiratory failure. This secondary analysis of the multicenter Randomized Evaluation of Sedation Titration for Respiratory Failure clinical trial includes children, 2 weeks to 17 years old, mechanically ventilated for acute respiratory failure; specifically, subjects who had parental consent for follow-up and residential addresses that could be matched with census tracts (n = 2006). Subjects were categorized into quartiles based on income, with a median income of $54,036 for the census tracts represented in the sample. Subjects in the highest income quartile were more likely to be older, non-Hispanic White, and hospitalized for pneumonia. Subjects in the lowest income quartile were more likely to be Black, younger, and hospitalized for asthma or bronchiolitis, to have age-appropriate baseline functional status, and history of prematurity and asthma. After controlling for age group, gender, race, and primary diagnosis, there were no associations between income quartile and either Pediatric Risk of Mortality scores or pediatric acute respiratory distress syndrome. As measured, income-based SES was not associated with illness severity upon PICU admission in this cohort of patients. More robust and reliable methods for measuring SES may help to better explain the mechanisms by which socioeconomic affect critical illness.

Racial, ethnic, and socioeconomic disparities in paediatric critical care in the USA

In an era of tremendous medical advancements, it is important to characterise and address inequities in the provision of health care and in outcomes. There is a large body of evidence describing such disparities by race or ethnicity and socioeconomic position in critically ill adults; however, this important issue has received less attention in children and adolescents (aged ≤21 years). This Review presents a summary of the available evidence on disparities in outcomes in paediatric critical illness in the USA as a result of racism and socioeconomic privilege. The majority of evidence of racial and socioeconomic disparities in paediatric critical care originates from the USA and is retrospective, with only one prospective intervention-based study. Although there is mixed evidence of disparities by race or ethnicity and socioeconomic position in general paediatric intensive care unit admissions and outcomes in the USA, there are striking trends within some disease processes. Notably, there is evidence of disparities in management and outcomes for out-of-hospital cardiac arrest, asthma, severe trauma, sepsis, and oncology, and in families' perceptions of care. Furthermore, there is clear evidence that critical care research is limited by under-enrolment of participants from minority race or ethnicity groups. We advocate for rigorous research standards and increases in the recruitment and enrolment of a diverse range of participants in paediatric critical care research to better understand the disparities observed, including the effects of racism and poverty. A clearer understanding of when, where, and how such disparities affect patients will better enable the development of effective strategies to inform practice, interventions, and policy.

Socioeconomic and Racial and/or Ethnic Disparities in Multisystem Inflammatory Syndrome

OBJECTIVES

To characterize the socioeconomic and racial and/or ethnic disparities impacting the diagnosis and outcomes of multisystem inflammatory syndrome in children (MIS-C).

METHODS

This multicenter retrospective case-control study was conducted at 3 academic centers from January 1 to September 1, 2020. Children with MIS-C were compared with 5 control groups: children with coronavirus disease 2019, children evaluated for MIS-C who did not meet case patient criteria, children hospitalized with febrile illness, children with Kawasaki disease, and children in Massachusetts based on US census data. Neighborhood socioeconomic status (SES) and social vulnerability index (SVI) were measured via a census-based scoring system. Multivariable logistic regression was used to examine associations between SES, SVI, race and ethnicity, and MIS-C diagnosis and clinical severity as outcomes.

RESULTS

Among 43 patients with MIS-C, 19 (44%) were Hispanic, 11 (26%) were Black, and 12 (28%) were white; 22 (51%) were in the lowest quartile SES, and 23 (53%) were in the highest quartile SVI. SES and SVI were similar between patients with MIS-C and coronavirus disease 2019. In multivariable analysis, lowest SES quartile (odds ratio 2.2 [95% confidence interval 1.1-4.4]), highest SVI quartile (odds ratio 2.8 [95% confidence interval 1.5-5.1]), and racial and/or ethnic minority background were associated with MIS-C diagnosis. Neither SES, SVI, race, nor ethnicity were associated with disease severity.

CONCLUSIONS

Lower SES or higher SVI, Hispanic ethnicity, and Black race independently increased risk for MIS-C. Additional studies are required to target interventions to improve health equity for children.

The Impact of Socioeconomic Disadvantage on Pediatric Tracheostomy Outcomes

OBJECTIVES

To determine if socioeconomic disadvantage impacts perioperative outcomes after tracheostomy.

METHODS

We performed a retrospective case series of children who underwent tracheostomy. Children were divided into less and more disadvantaged groups based on their community's Area Deprivation Index (ADI), a validated socioeconomic vulnerability measure. Primary outcomes were the length of stay, total cost, in-hospital mortality, and 30-day all-cause readmission after tracheostomy placement. Length of stay was further analyzed using parametric survival analysis.

RESULTS

A total of 239 patients met inclusion criteria, with 153 (64%) residing in more disadvantaged communities. Children from more disadvantaged communities were less likely to be White (42% vs. 26%, P = .009) and more likely to have Medicaid coverage (90% vs. 62%, P < .001). The two groups had similar medical complexity and comorbidities. The main outcome measures showed differences in median total length of stay (113 vs. 79 days, P = .04) and median total cost ($461 000 vs. $279 000, P = .01). Children with tracheostomies who were from more disadvantaged communities also had increased risk of prolonged hospitalizations (HR = 0.63, 95% CI = 0.48-0.83, P = .001). Readmissions, mortality rates, and quality of life scores were similar between groups.

CONCLUSIONS

Community disadvantage was associated with differences in hospitalization length and costs after pediatric tracheostomy placement. Further research should continue to describe how health disparities impact children's safe and efficient care with tracheostomies.

LEVEL OF EVIDENCE

4 Laryngoscope, 2021.

Racial disparities in survival outcomes following pediatric in-hospital cardiac arrest

BACKGROUND

Among adults with in-hospital cardiac arrest (IHCA), overall survival is lower in black patients compared to white patients. Data regarding racial differences in survival for pediatric IHCA are unknown.

METHODS

Using 2000-2017 data from the American Heart Association Get With the Guidelines-Resuscitation® registry, we identified children >24 h and <18 years of age with IHCA due to an initial pulseless rhythm. We used generalized estimation equation to examine the association of black race with survival to hospital discharge, return of spontaneous circulation (ROSC), and favorable neurologic outcome at discharge.

RESULTS

Overall, 2940 pediatric patients (898 black, 2042 white) at 224 hospitals with IHCA were included. The mean age was 3.0 years, 57% were male and 16% had an initial shockable rhythm. Age, sex, interventions in place at the time of arrest and cardiac arrest characteristics did not differ significantly by race. The overall survival to discharge was 36.9%, return of spontaneous circulation (ROSC) was 73%, and favorable neurologic survival was 20.8%. Although black race was associated with lower rates of ROSC compared to white patients (69.5% in blacks vs. 74.6% in whites; risk-adjusted OR 0.79, 95% CI 0.67-0.94, P = 0.016), black race was not associated with survival to discharge (34.7% in blacks vs. 37.8% in whites; risk-adjusted OR 0.96, 95% CI 0.80-1.15, P = 0.68) or favorable neurologic outcome (18.7% in blacks vs. 21.8% in whites, risk-adjusted OR 0.98, 95% CI 0.80-1.20, p = 0.85).

CONCLUSIONS

In contrast to adults, we did not find evidence for racial differences in survival outcomes following IHCA among children.

Racial/Ethnic Minority Children With Cancer Experience Higher Mortality on Admission to the ICU in the United States

OBJECTIVE

We investigated whether differences in survival exist between children of various racial/ethnic groups with cancer admitted to the PICU.

DESIGN

A retrospective multicenter analysis was conducted using Virtual Pediatric Systems data from reporting centers. Demographic information, Pediatric Risk for Mortality III score, and outcome variables were analyzed using mixed-effects logistic regression modeling to assess for differences in mortality.

SETTING

One hundred thirty-five PICUs in the United States.

PATIENTS

Pediatric patients with cancer admitted to PICUs in the United States.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

This study details the analysis of 23,128 PICU admissions of 12,232 unique oncology patients representing 3% of all PICU admissions with 1,610 deaths (7.0% case fatality). African American (8.5%) and Hispanic children (8.1%) had significantly higher mortality (p < 0.05) compared with Caucasian children (6.3%). Regional analysis showed Hispanic patients to have higher mortality in the West in the United States, whereas African American patients in the South in the United States had higher mortality. A pulmonary disease diagnosis in Hispanics increased odds of mortality (odds ratio, 1.39; 95% CI, 1.13-1.70), whereas a diagnosis of shock/sepsis increased risk for mortality in African Americans (odds ratio, 1.56; 95% CI, 1.11-2.20) compared with Caucasians. There were no differences between races/ethnic groups in the rates of limitations of care. After controlling for Pediatric Risk of Mortality III, PICU length of stay, stem cell transplant status, readmissions, cancer type (solid, brain, hematologic), mechanical ventilation days, and sex, Hispanic (odds ratio, 1.24; 95% CI, 1.05-1.47) and African Americans (odds ratio, 1.37; 95% CI, 1.14-1.66) had significantly higher odds of mortality compared with Caucasians.

CONCLUSIONS

The results show that after controlling for severity and cancer type, a child's race, ethnicity, and region of presentation influence mortality in the PICU. This suggests that additional investigation is warranted along with a need to rethink our approach to the evaluation and treatment of critically ill African American and Hispanic children with cancer.

The impact of social determinants of health on laryngotracheal stenosis development and outcomes

OBJECTIVES

The social determinants of health affect a wide range of health outcomes and risks. To date, there have been no studies evaluating the impact of social determinants of health on laryngotracheal stenosis (LTS). We sought to describe the social determinants in a cohort of LTS patients and explore their association with treatment outcome.

METHODS

Subjects diagnosed with LTS undergoing surgical procedures between 2013 and 2018 were identified. Matched controls were identified from intensive care unit (ICU) patients who underwent intubation for greater than 24 hours. Medical comorbidities, stenosis characteristics, and patient demographics were abstracted from the clinical record. Tracheostomy at last follow-up was recorded from the medical record and phone calls. Socioeconomic data was obtained from the American Community Survey.

RESULTS

One hundred twenty-two cases met inclusion criteria. Cases had significantly lower education compared to Tennessee (P = .009) but similar education rates as ICU controls. Cases had significantly higher body mass index (odds ratio [OR]: 1.04, P = .035), duration of intubation (OR: 1.21, P < .001), and tobacco use (OR: 1.21, P = .006) in adjusted analysis when compared to controls. Tracheostomy dependence within the case cohort was significantly associated with public insurance (OR: 1.33, P = .016) and chronic obstructive pulmonary disease (OR: 1.34, P = .018) in adjusted analysis.

CONCLUSION

Intubation practices, medical comorbidities and social determinants of health may influence the development of LTS and tracheostomy dependence after treatment. Identification of at-risk populations in ICUs may allow for prevention of tracheostomy dependence through the use of early tracheostomy and specialized follow-up.

LEVEL OF EVIDENCE

Level 3, retrospective review comparing cases and controls Laryngoscope, 130:1000-1006, 2020.

Neighborhood Poverty and Pediatric Intensive Care Use

BACKGROUND

Disparities in health service use have been described across a range of sociodemographic factors. Patterns of PICU use have not been thoroughly assessed.

METHODS

This was a population-level, retrospective analysis of admissions to the Cincinnati Children's Hospital Medical Center PICU between 2011 and 2016. Residential addresses of patients were geocoded and spatially joined to census tracts. Pediatric patients were eligible for inclusion if they resided within Hamilton County, Ohio. PICU admission and bed-day rates were calculated by using numerators of admissions and bed days, respectively, over a denominator of tract child population. Relationships between tract-level PICU use and child poverty were assessed by using Spearman's ρ and analysis of variance. Analyses were event based; children admitted multiple times were counted as discrete admissions.

RESULTS

There were 4071 included admissions involving 3129 unique children contributing a total of 12 297 PICU bed days. Child poverty was positively associated with PICU admission rates (r = 0.59; P < .001) and bed-day rates (r = 0.47; P < .001). When tracts were grouped into quintiles based on child poverty rates, the PICU bed-day rate ranged from 23.4 days per 1000 children in the lowest poverty quintile to 81.9 days in the highest poverty quintile (P < .001).

CONCLUSIONS

The association between poverty and poor health outcomes includes pediatric intensive care use. This association exists for children who grow up in poverty and around poverty. Future efforts should characterize the interplay between patient- and neighborhood-level risk factors and explore neighborhood-level interventions to improve child health.

The impact of driving time on pediatric TBI follow-up visit attendance

Objective: Examine the effect of driving time on follow-up visit attendance for children hospitalized with a traumatic brain injury (TBI). We hypothesized that families who lived further from the hospital would show poorer follow-up attendance.Participants: 368 children admitted to the hospital with TBI.Design & Outcome Measures: Using a retrospective chart review, we calculated driving time from patients' homes. The primary outcome was attendance at the first appointment post-discharge. We used logistic regression to examine the effect of driving time on attendance, including an analysis of the effects of injury and sociodemographic covariates on the model.Results: Majority of children attended their first appointment. Patients living 30-60 min from the hospital were most likely to attend, and those living 15 min away were least likely to attend. After adjusting for patient characteristics, families with driving time of 30-60 min had significantly higher odds of returning for follow-up than those with driving time <15 min, though the significance of this relationship disappeared after specific socioeconomic (SES) factors were included.Conclusions: Distance plays a significant role on follow-up attendance for pediatric patients with TBI. However, neighborhood SES may be an additional factor that influences the significance of the distance effect.Abbreviations: TBI: Traumatic brain injury; SES: socioeconomic status; ISS: Injury severity scale; AIS: Abbreviated injury scale.

Combining Nonclinical Determinants of Health and Clinical Data for Research and Evaluation: Rapid Review

Background

Nonclinical determinants of health are of increasing importance to health care delivery and health policy. Concurrent with growing interest in better addressing patients’ nonmedical issues is the exponential growth in availability of data sources that provide insight into these nonclinical determinants of health.

Objective

This review aimed to characterize the state of the existing literature on the use of nonclinical health indicators in conjunction with clinical data sources.

Methods

We conducted a rapid review of articles and relevant agency publications published in English. Eligible studies described the effect of, the methods for, or the need for combining nonclinical data with clinical data and were published in the United States between January 2010 and April 2018. Additional reports were obtained by manual searching. Records were screened for inclusion in 2 rounds by 4 trained reviewers with interrater reliability checks. From each article, we abstracted the measures, data sources, and level of measurement (individual or aggregate) for each nonclinical determinant of health reported.

Results

A total of 178 articles were included in the review. The articles collectively reported on 744 different nonclinical determinants of health measures. Measures related to socioeconomic status and material conditions were most prevalent (included in 90% of articles), followed by the closely related domain of social circumstances (included in 25% of articles), reflecting the widespread availability and use of standard demographic measures such as household income, marital status, education, race, and ethnicity in public health surveillance. Measures related to health-related behaviors (eg, smoking, diet, tobacco, and substance abuse), the built environment (eg, transportation, sidewalks, and buildings), natural environment (eg, air quality and pollution), and health services and conditions (eg, provider of care supply, utilization, and disease prevalence) were less common, whereas measures related to public policies were rare. When combining nonclinical and clinical data, a majority of studies associated aggregate, area-level nonclinical measures with individual-level clinical data by matching geographical location.

Conclusions

A variety of nonclinical determinants of health measures have been widely but unevenly used in conjunction with clinical data to support population health research.

Impact of Socioeconomic Status on Outcomes of Patients with Kawasaki Disease

OBJECTIVE

To evaluate the association of neighborhood socioeconomic status (SES) with time to intravenous immunoglobulin treatment, length of stay (LOS), and coronary artery aneurysms (CAAs) in patients with Kawasaki disease.

STUDY DESIGN

We examined the relationship of SES in 915 patients treated at a large academic center between 2000 and 2017. Neighborhood SES was measured using a US census-based score derived from 6 measures related to income, education, and occupation. Linear and logistic regression were used to examine the association of SES with number of days of fever at time of treatment, LOS, and CAA.

RESULTS

Patients in the lowest SES quartile were treated later than patients with greater SES (7 [IQR 5, 9] vs 6 [IQR 5, 8] days, P = .01). Patients in the lowest SES quartile were more likely to be treated after 10 days of illness, with an OR 1.9 (95% CI 1.3-2.8). In multivariable analysis, SES remained an independent predictor of the number of days of fever at time of treatment (P = .01). Patients in the lowest SES quartile had longer LOS than patients with greater SES (3 [IQR 2, 5] vs 3 [IQR 2, 4], P = .007). In subgroup analysis of white children, those in the lowest SES quartile vs quartiles 2-4 were more likely to develop large/giant CAA 17 (12%) vs 30 (6%), P = .03.

CONCLUSIONS

Lower SES is associated with delayed treatment, prolonged LOS, and increased risk of large/giant CAA. Novel approaches to diagnosis and education are needed for children living in low-SES neighborhoods.

Socioeconomic Status, Race/Ethnicity, and Health Disparities in Children and Adolescents in a Mixed Rural-Urban Community-Olmsted County, Minnesota

OBJECTIVE

To characterize disparities in childhood health outcomes by socioeconomic status (SES) and race/ethnicity in a mixed rural-urban US community.

METHODS

This was a retrospective population-based study of children 18 years and younger residing in Olmsted County, Minnesota, in 2009. The prevalence rates of childhood health outcomes were determined using International Classification of Diseases, Ninth Revision codes. Socioeconomic status was measured using the HOUsing-based SocioEconomic Status index (HOUSES), derived from real property data. Adjusting for age and sex, logistic regression models were used to examine the relationships among HOUSES, race/ethnicity, and prevalence of childhood health outcomes considering an interaction between HOUSES and race/ethnicity. Odds ratios were calculated using the lowest SES quartile and non-Hispanic white participants as the reference groups.

RESULTS

Of 31,523 eligible children, 51% were male and 86% were of non-Hispanic white race/ethnicity. Overall, lower SES was associated with higher prevalence of bronchiolitis, urinary tract infection, asthma, mood disorder, and accidents/adverse childhood experiences (physical and sexual abuse) in a dose-response manner (P<.04). Prevalence rates of all childhood conditions considered except for epilepsy were significantly different across races/ethnicities (P<.002). Racial/ethnic disparities for asthma and mood disorder were greater with higher SES.

CONCLUSION

Significant health disparities are present in a predominantly affluent, non-Hispanic white, mixed rural-urban community. Socioeconomic status modifies disparities by race/ethnicity in clinically less overt conditions. Interpretation of future health disparity research should account for the nature of disease.

Disease prevention & health promotion: what's critical care got to do with it?

Health systems are increasingly investing in efforts to prevent disease and promote health for populations. By and large, these prevention-related interventions have not been inclusive of critical care and the intensive care unit (ICU). However, we suggest that there is value-to patients, families, health systems, and society at large-in extending this continuum into the ICU setting and including the ICU in disease prevention and health promotion efforts. Including the ICU in this continuum allows the critical care perspective to inform (I) advocacy for prevention; (II) efforts to improve disparities in health and health care; (III) mitigation of the negative effects of critical illness and injury as well as ICU exposure; and (IV) promotion of health and well-being in the community. As disease prevention and health promotion rise as priorities within health systems, critical care can and should join, even help lead, the effort.

Outcomes of Children With Critical Bronchiolitis Living in Poor Communities

There are established associations between adverse health outcomes and poverty, but little is known regarding these associations in critically ill children. We hypothesized that living in poorer communities would be associated with unfavorable outcomes in children with critical bronchiolitis. This retrospective study included children with bronchiolitis admitted to a pediatric intensive care unit (PICU) over a 2-year period. Median household income was estimated from patient ZIP codes and 2014 US Census Bureau data. The 2014 Federal Poverty Threshold (FPT) for a family of 4 was $24 008. Patients were classified as living in ZIP codes below or above the 150% FPT (150FPT). Living <150FPT was associated with longer PICU length of stay (LOS), longer hospital LOS, higher odds of needing mechanical ventilation, and increased hospital charges. In this cohort of critically ill children with bronchiolitis, living in a poorer community was associated with more unfavorable clinical outcomes.

Pediatric neuro-oncology survival disparities in California

The objective of this study was to investigate racial/ethnic differences in survival for pediatric high-grade glioma (HGG) and medulloblastoma in the state of California. We obtained data from the California Cancer Registry on 552 high-grade glioma patients (110 brainstem, 442 non-brainstem) and 648 medulloblastoma patients ages 0-19 years from 1988 to 2012. Using multivariate Cox proportional hazards regression, we examined the impact of individual and neighborhood characteristics on survival. Socioeconomic quintile and insurance status differed significantly by race for both diagnoses. Hispanic children with non-brainstem HGG had worse survival than non-Hispanic white children: hazard ratio (HR) 1.62; 95% confidence interval (CI) 1.24-2.11, but the difference was mitigated some by accounting for socioeconomic status (HR 1.48, CI 1.10-1.99). Racial/ethnic differences in survival exist for children with high-grade glioma, particularly Hispanic children with non-brainstem high-grade glioma, and are likely related to sociologic factors.

Spatial variation of pneumonia hospitalization risk in Twin Cities metro area, Minnesota

Fine resolution spatial variability in pneumonia hospitalization may identify correlates with socioeconomic, demographic and environmental factors. We performed a retrospective study within the Fairview Health System network of Minnesota. Patients 2 months of age and older hospitalized with pneumonia between 2011 and 2015 were geocoded to their census block group, and pneumonia hospitalization risk was analyzed in relation to socioeconomic, demographic and environmental factors. Spatial analyses were performed using Esri's ArcGIS software, and multivariate Poisson regression was used. Hospital encounters of 17 840 patients were included in the analysis. Multivariate Poisson regression identified several significant associations, including a 40% increased risk of pneumonia hospitalization among census block groups with large, compared with small, populations of ⩾65 years, a 56% increased risk among census block groups in the bottom (first) quartile of median household income compared to the top (fourth) quartile, a 44% higher risk in the fourth quartile of average nitrogen dioxide emissions compared with the first quartile, and a 47% higher risk in the fourth quartile of average annual solar insolation compared to the first quartile. After adjusting for income, moving from the first to the second quartile of the race/ethnic diversity index resulted in a 21% significantly increased risk of pneumonia hospitalization. In conclusion, the risk of pneumonia hospitalization at the census-block level is associated with age, income, race/ethnic diversity index, air quality, and solar insolation, and varies by region-specific factors. Identifying correlates using fine spatial analysis provides opportunities for targeted prevention and control.

Regional socioeconomic disparities in outcomes for workers with low back pain in the United States

BACKGROUND

Although regional socioeconomic (SE) factors have been associated with worse health outcomes, prior studies have not addressed important confounders or work disability.

METHODS

A national sample of 59 360 workers' compensation (WC) cases to evaluate impact of regional SE factors on medical costs and length of disability (LOD) in occupational low back pain (LBP).

RESULTS

Lower neighborhood median household incomes (MHI) and higher state unemployment rates were associated with longer LOD. Medical costs were lower in states with more workers receiving Social Security Disability, and in areas with lower MHI, but this varied in magnitude and direction among neighborhoods. Medical costs were higher in more urban, more racially diverse, and lower education neighborhoods.

CONCLUSIONS

Regional SE disparities in medical costs and LOD occur even when health insurance, health care availability, and indemnity benefits are similar. Results suggest opportunities to improve care and disability outcomes through targeted health care and disability interventions.

Factors Associated With Mortality in Low-Risk Pediatric Critical Care Patients in The Netherlands

OBJECTIVE

To determine differences between survivors and nonsurvivors and factors associated with mortality in pediatric intensive care patients with low risk of mortality.

DESIGN

Retrospective cohort study.

SETTING

Patients were selected from a national database including all admissions to the PICUs in The Netherlands between 2006 and 2012.

PATIENTS

Patients less than 18 years old admitted to the PICU with a predicted mortality risk lower than 1% according to either the recalibrated Pediatric Risk of Mortality or the Pediatric Index of Mortality 2 were included.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

In total, 16,874 low-risk admissions were included of which 86 patients (0.5%) died. Nonsurvivors had more unplanned admissions (74.4% vs 38.5%; p < 0.001), had more complex chronic conditions (76.7% vs 58.8%; p = 0.001), were more often mechanically ventilated (88.1% vs 34.9%; p < 0.001), and had a longer length of stay (median, 11 [interquartile range, 5-32] d vs median, 3 [interquartile range, 2-5] d; p < 0.001) when compared with survivors. Factors significantly associated with mortality were complex chronic conditions (odds ratio, 3.29; 95% CI, 1.97-5.50), unplanned admissions (odds ratio, 5.78; 95% CI, 3.40-9.81), and admissions in spring/summer (odds ratio, 1.67; 95% CI, 1.08-2.58).

CONCLUSIONS

Nonsurvivors in the PICU with a low predicted mortality risk have recognizable risk factors including complex chronic condition and unplanned admissions.

Limiting and Withdrawing Life Support in the PICU: For Whom Are These Options Discussed?

OBJECTIVES

Most deaths in U.S. PICUs occur after a decision has been made to limitation or withdrawal of life support. The objective of this study was to describe the clinical characteristics and outcomes of children whose families discussed limitation or withdrawal of life support with clinicians during their child's PICU stay and to determine the factors associated with limitation or withdrawal of life support discussions.

DESIGN

Secondary analysis of data prospectively collected from a random sample of children admitted to PICUs affiliated with the Collaborative Pediatric Critical Care Research Network between December 4, 2011, and April 7, 2013.

SETTING

Seven clinical sites affiliated with the Collaborative Pediatric Critical Care Research Network.

PATIENTS

Ten thousand seventy-eight children less than 18 years old, admitted to a PICU, and not moribund at admission.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Families of 248 children (2.5%) discussed limitation or withdrawal of life support with clinicians. By using a multivariate logistic model, we found that PICU admission age less than 14 days, reduced functional status prior to hospital admission, primary diagnosis of cancer, recent catastrophic event, emergent PICU admission, greater physiologic instability, and government insurance were independently associated with higher likelihood of discussing limitation or withdrawal of life support. Black race, primary diagnosis of neurologic illness, and postoperative status were independently associated with lower likelihood of discussing limitation or withdrawal of life support. Clinical site was also independently associated with likelihood of limitation or withdrawal of life support discussions. One hundred seventy-three children (69.8%) whose families discussed limitation or withdrawal of life support died during their hospitalization; of these, 166 (96.0%) died in the PICU and 149 (86.1%) after limitation or withdrawal of life support was performed. Of those who survived, 40 children (53.4%) were discharged with severe or very severe functional abnormalities, and 15 (20%) with coma/vegetative state.

CONCLUSIONS

Clinical factors reflecting type and severity of illness, sociodemographics, and institutional practices may influence whether limitation or withdrawal of life support is discussed with families of PICU patients. Most children whose families discuss limitation or withdrawal of life support die during their PICU stay; survivors often have substantial disabilities.