Geospatial Analysis of Social Determinants of Health Identifies Neighborhood Hot Spots Associated with Pediatric Intensive Care Use for Life-threatening Asthma

A health inequality analysis of childhood asthma prevalence in urban Australia

BACKGROUND

Long-standing health inequalities in Australian society that were exposed by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic were described as "fault lines" in a recent call to action by a consortium of philanthropic organizations. With asthma a major contributor to childhood disease burden, studies of its spatial epidemiology can provide valuable insights into the emergence of health inequalities early in life.

OBJECTIVE

The aims of this study were to characterize the spatial variation of asthma prevalence among children living within Australia's 4 largest cities and quantify the relative contributions of climatic and environmental factors, outdoor air pollution, and socioeconomic status in determining this variation.

METHODS

A Bayesian model with spatial smoothing was developed to regress ecologic health status data from the 2021 Australian Census against groups of explanatory covariates intended to represent mechanistic pathways.

RESULTS

The prevalence of asthma in children aged 5 to 14 years averages 7.9%, 8.2%, 8.5%, and 7.6% in Sydney, Melbourne, Brisbane, and Perth, respectively. This small inter-city variation contrasts against marked intracity variation at the small-area level, which ranges from 6% to 12% between the least and most affected locations in each. Statistical variance decomposition on a subsample of Australian-born, nonindigenous children attributes 66% of the intracity spatial variation to the assembled covariates. Of these covariates, climatic and environmental factors contribute 30%, outdoor air pollution contributes 19%, and areal socioeconomic status contributes the remaining 51%.

CONCLUSION

Geographic health inequalities in the prevalence of childhood asthma within Australia's largest cities reflect a complex interplay of factors, among which socioeconomic status is a principal determinant.

Near-fatal and fatal asthma and air pollution: are we missing an opportunity to ask key questions?

There is an increasing body of evidence supporting the link between asthma attacks and air pollution in children. To our knowledge, there has only been one reported case of a fatal asthma attack in a child associated with air pollution and this was in the UK. This article considers why there is a lack of evidence on fatal/near-fatal asthma and air pollution. We also explore three challenges. First, fatal and near-fatal asthma events are rare and not yet well understood. Second, measuring and interpreting personal exposure to air pollution with sufficient temporal and spatial detail are challenging to interpret in the context of individual fatal or near-fatal asthma attacks. Third, current studies are not designed to answer the question of whether or to what extent air pollution is associated with fatal/near-fatal asthma attacks in children. Conclusive evidence is not yet available and systems of data collection for both air pollution and fatal and near-fatal asthma attacks should be enhanced to ensure risk can be determined and impact minimised.

Plasma metabolomics identifies differing endotypes of recurrent wheezing in preschool children differentiated by symptoms and social disadvantage

Preschool children with recurrent wheezing are a heterogeneous population with many underlying biological pathways that contribute to clinical presentations. Although the morbidity of recurrent wheezing in preschool children is significant, biological studies in this population remain quite limited. To address this gap, this study performed untargeted plasma metabolomic analyses in 68 preschool children with recurrent wheezing to identify metabolomic endotypes of wheezing. K-means cluster analysis was performed on metabolomic dataset including a total of 1382 named and unnamed metabolites. We identified three metabolomic clusters which differed in symptom severity, exacerbation occurrence, and variables associated with social disadvantage. Metabolites that distinguished the clusters included those involved in fatty acid metabolism, fatty acids (long chain monounsaturated fatty acids, long chain polyunsaturated fatty acids, and long chain saturated fatty acids), lysophospholipids, phosphatidylcholines, and phosphatidylethanolamines. Pathway analyses identified pathways of interest in each cluster, including steroid metabolism, histidine metabolism, sphingomyelins, and sphingosines, among others. This study highlights the biologic complexity of recurrent wheezing in preschool children and offers novel metabolites and pathways that may be amenable to future study and intervention.

The Child Opportunity Index 2.0 and exacerbation-prone asthma in a cohort of urban children

RATIONALE

Social determinants of health underlie disparities in asthma. However, the effects of individual determinants likely interact, so a summary metric may better capture their impact. The Child Opportunity Index 2.0 (COI) is one such tool, yet its association with exacerbation-prone (EP) asthma is unknown.

OBJECTIVE

To investigate the association between the COI and EP asthma and clinical measures of asthma severity in children.

METHODS

We analyzed data from two prospective observational pediatric asthma cohorts (n = 193). Children were classified as EP (≥1 exacerbation in the past 12 months) or exacerbation-null (no exacerbations in the past 5 years). Spirometry, exhaled nitric oxide, IgE, and Composite Asthma Severity Index (CASI) were obtained. The association between COI and EP status was assessed with logistic regression. We fit linear and logistic regression models to test the association between COI and each clinical measure.

RESULTS

A 20-point COI decrease conferred 40% higher odds of EP asthma (OR 1.4; 95%CI 1.1-1.76). The effect was similar when adjusted for age and sex (OR 1.38, 95%CI 1.1-1.75) but was attenuated with additional adjustment for race and ethnicity (OR 1.19, 95%CI 0.92-1.54). A similar effect was seen for the Social/Economic and Education COI domains but not the Health/Environment Domain. A 20-point COI decrease was associated with an increase in CASI of 0.34. COI was not associated with other clinical measures.

CONCLUSIONS

Lower COI was associated with greater odds of EP asthma. This highlights the potential use of the COI to understand neighborhood-level risk and identify community targets to reduce asthma disparities.

Child Opportunity Index and Diagnosis of Developmental Dysplasia of the Hip: Insights From a Children's Hospital Serving Disadvantaged Communities

INTRODUCTION

Initiation of Pavlik harness treatment for developmental dysplasia of the hip (DDH) by 6 to 7 weeks of age predicts a higher rate of success. Child Opportunity Index (COI) 2.0 is a single metric designed to measure resources and conditions affecting children's healthy development. This study investigates COI in relation to the timing of DDH diagnosis.

METHODS

This is a retrospective cohort study on patients younger than 4 years diagnosed with DDH between 2016 and 2023, treated with a Pavlik harness, rigid hip abduction orthosis, and/or surgery. Demographic and clinical data were recorded, including date of first diagnostic imaging. Patients with syndromes, congenital anomalies, or neuromuscular disorders and those referred with an unknown date of first diagnostic imaging were excluded. A subgroup analysis of patients diagnosed at ≤6 weeks ("early") and >6 weeks ("late") was conducted. Statewide COI scores (total, three domains) and categorical quintile scores (very low, low, moderate, high, and very high) were recorded.

RESULTS

A total of 115 patients were included: 90 female infants (78%), with a median age of 32 days at diagnostic imaging. No notable difference was observed between median age at diagnosis for study patients in low or very low quintiles and those in moderate, high, or very high quintiles for COI total or domains. "Early" and "late" diagnosis subgroups did not differ markedly by COI total or domains, nor insurance type, race, or ethnicity. Subgroups differed markedly by race and insurance status.

DISCUSSION

In an urban children's hospital, COI did not differ markedly between patients diagnosed with DDH by ≤6 weeks and >6 weeks. This is the first study to pose this question on DDH in a population with predominantly low/very low COI scores and public insurance, which may lead to unexpected results. Replicating the study in a different setting could yield different results.

LEVEL OF EVIDENCE

III.

The influence of social and environmental determinants of health on hospitalizations for pediatric asthma

BACKGROUND

Asthma is the most common chronic disease of childhood, and has several social, environmental, and demographic factors potentially influential to its disease burden. This study sought to determine the influence of these factors on hospital admissions and readmissions for pediatric asthma.

METHODS

This was a retrospective cohort study using data from the Indiana Network for Patient Care, a state-wide health information exchange in the United States. Study participants were children 2-18 years old admitted to the hospital with a respiratory diagnostic code between 2010 and 2021. Clinical variables were obtained from electronic health record data, and social and environmental determinants of health data were obtained from the Indiana Social Assets and Vulnerabilities Indicators using geocoding systems. Negative binomial models were used to examine community level social and environmental risk factors modifying the relationship between patient characteristics and the risk of asthma-related hospitalizations and 30-day readmissions.

RESULTS

The study sample included 25,063 patients with an average follow-up of 9 (SD = 5) years. Of these, there were 17,816 asthma-related admissions. There were a total of 1,037 asthma-related 30-day readmissions, with an incidence rate of readmissions relative to total visits of 0.028 per person-year. A high social vulnerability index (SVI) was associated with an increased rate of hospital admissions (Proportion attributable ratio: 1.09, 95%CI (1.03,1.15), p < 0.05). No environmental determinants of health were significantly associated with hospitalization rate.

CONCLUSION

High SVI was significantly associated with increased risk of total hospital admissions for pediatric asthma.

Environmental Injustice Is Associated With Poorer Asthma Outcomes in School-Age Children With Asthma in Metropolitan Atlanta, Georgia

BACKGROUND

Environmental justice mandates that no person suffers disproportionately from environmental exposures. The Environmental Justice Index (EJI) provides an estimate of the environmental burden for each census tract but has not yet been used in asthma populations.

OBJECTIVE

We hypothesized that children from census tracts with high environmental injustice determined by the EJI would have a greater burden of asthma exacerbations, poorer asthma control, and poorer lung function over 12 months.

METHODS

Children aged 6 to 18 years with asthma (N = 575) from metropolitan Atlanta, Georgia, completed a baseline research visit. Participant addresses were geocoded to obtain the EJI Social-Environmental Ranking for each participant's census tract, which was divided into tertiles. Medical records were reviewed for 12 months for asthma exacerbations. A subset of participants completed a second research visit involving spirometry and questionnaires.

RESULTS

Census tracts with the greatest environmental injustice had more racial and ethnic minorities, lower socioeconomic status, more hazardous exposures (particularly to airborne pollutants), and greater proximity to railroads and heavily trafficked roadways. Children with asthma residing in high injustice census tracts had a longer duration of asthma, greater historical asthma-related health care utilization, poorer asthma symptom control and quality of life, and more impaired lung function. By 12 months, children from high injustice census tracts also had more asthma exacerbations with a shorter time to exacerbation and persistently more symptoms, poorer asthma control, and reduced lung function.

CONCLUSIONS

Disparities in environmental justice are present in metropolitan Atlanta that may contribute to asthma outcomes in children. These findings require an additional study and action to improve health equity.

Outdoor air pollution and near-fatal/fatal asthma attacks in children: A systematic review

BACKGROUND

Globally, observational studies have demonstrated an association between high levels of air pollution and asthma attacks in children. It remains unclear whether and to what extent exposure may be associated with increased near-fatal/fatal attacks.

OBJECTIVE

To systematically review the evidence for an association between ambient outdoor air pollution and fatal and/or near-fatal asthma (NFA).

METHODS

Following Cochrane methodology, we searched MEDLINE, EMBASE, Web of Science, Scopus, and Open Grey electronic databases for studies reporting the association of fatal/NFA and air pollution (particulate matter [PM], sulfur dioxide, nitrogen dioxide, black carbon and ozone [O3]) in children. NFA was defined as requiring intensive care unit (ICU) management.

RESULTS

Two reviewers independently screened 1358 papers. A total of 276 studies identified asthma attacks related to air pollution, 272 did not meet inclusion criteria after full-text review. Four observational studies described fatal/NFA, of which three addressed NFA. PM2.5 (per 12.5 µg/m3 increase) and O3 (per 22 ppb increase) were associated with NFA in one study (PM2.5, relative risk: 1.26, confidence interval [CI] [1.10-1.44]), O3 (1.19 [1.01-1.40]). PM10 was associated with ICU admission in the context of thunderstorm asthma. Elemental carbon was associated equally with NFA that did not require an ICU admission (p = 0.67). Studies of fatal asthma including children did not demarcate age within the analysis.

CONCLUSIONS

Ozone and PM2.5 have been associated with NFA in children but synthesis is limited by the paucity of studies and methodological heterogeneity. Poor reporting of severities of asthma attacks hinders the assessment of whether outdoor air pollution is associated with an increased number of NFA/fatal attacks in children.

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.

Altered Symptom Perception in Children With Asthma Is Associated With Poor Childhood Opportunity and Adverse Outcomes

BACKGROUND

Effective asthma self-management requires that children recognize their asthma symptoms when they occur. However, some children have altered symptom perception, which impairs their ability to respond to their asthma symptoms in a timely manner.

OBJECTIVE

To characterize the prevalence and features of altered symptom perception in children aged 5 to 18 years. We hypothesized that children with altered symptom perception would have more features of uncontrolled asthma, more health inequity, and poorer longitudinal asthma outcomes over 12 months.

METHODS

Children (N = 371) completed an outpatient research visit for clinical characterization. Altered symptom perception was defined by discordance between child responses on the 6-item Asthma Control Questionnaire and medical provider-elicited symptoms. Electronic medical records were reviewed for 12 months for the occurrence of an asthma exacerbation treated with systemic corticosteroids and an asthma exacerbation prompting an emergency department visit.

RESULTS

Approximately 15% of children had altered symptom perception and their asthma features were similar to those of children with uncontrolled asthma. Children with altered symptom perception were uniquely distinguished by non-White race and more severe prior exacerbations. These children also resided in ZIP codes with the poorest childhood opportunity (ie, poorest education, health and environmental features, and socioeconomic features). Outcomes of children with altered symptom perception were equally disparate with approximately 2-fold higher odds of a future exacerbation and approximately 3-fold higher odds of an emergency department visit for asthma.

CONCLUSIONS

Altered symptom perception is present in a small but significant number of children with asthma and is related to poorer childhood opportunity and other health inequities that require additional intervention.

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.

Institutional Variability in Respiratory Support Use for Pediatric Critical Asthma: A Multicenter Retrospective Study

Rationale: Over 20,000 children are hospitalized in the United States for asthma every year. Although initial treatment guidelines are well established, there is a lack of high-quality evidence regarding the optimal respiratory support devices for these patients.Objectives: The objective of this study was to evaluate institutional and temporal variability in the use of respiratory support modalities for pediatric critical asthma.Methods: We conducted a retrospective cohort study using data from the Virtual Pediatrics Systems database. Our study population included children older than 2 years old admitted to a VPS contributing pediatric intensive care unit from January 2012 to December 2021 with a primary diagnosis of asthma or status asthmaticus. We evaluated the percentage of encounters using a high-flow nasal cannula (HFNC), continuous positive airway pressure (CPAP), noninvasive bilevel positive pressure ventilation (NIV), and invasive mechanical ventilation (IMV) for all institutions, then divided institutions into quintiles based on the volume of patients. We created logistic regression models to determine the influence of institutional volume and year of admission on respiratory support modality use. We also conducted time-series analyses using Kendall's tau.Results: Our population included 77,115 patient encounters from 163 separate institutions. Institutional use of respiratory modalities had significant variation in HFNC (28.3%, interquartile range [IQR], 11.0-49.0%; P < 0.01), CPAP (1.4%; IQR, 0.3-4.3%; P < 0.01), NIV (8.6%; IQR, 3.5-16.1%; P < 0.01), and IMV (5.1%; IQR, 3.1-8.2%; P < 0.01). Increased institutional patient volume was associated with significantly increased use of NIV (odds ratio [OR], 1.33; 1.29-1.36; P < 0.01) and CPAP (OR, 1.20; 1.15-1.25; P < 0.01), and significantly decreased use of HFNC (OR, 0.80; 0.79-0.81; P < 0.01) and IMV (OR, 0.82; 0.79-0.86; P < 0.01). Time was also associated with a significant increase in the use of HFNC (11.0-52.3%; P < 0.01), CPAP (1.6-5.4%; P < 0.01), and NIV (3.7-21.2%; P < 0.01), whereas there was no significant change in IMV use (6.1-4.0%; P = 0.11).Conclusions: Higher-volume centers are using noninvasive positive pressure ventilation more frequently for pediatric critical asthma and lower frequencies of HFNC and IMV. Treatment with HFNC, CPAP, and NIV for this population is increasing in the last decade.

Social determinants of health predict readmission following COVID-19 hospitalization: a health information exchange-based retrospective cohort study

Introduction

Since February 2020, over 104 million people in the United States have been diagnosed with SARS-CoV-2 infection, or COVID-19, with over 8.5 million reported in the state of Texas. This study analyzed social determinants of health as predictors for readmission among COVID-19 patients in Southeast Texas, United States.

Methods

A retrospective cohort study was conducted investigating demographic and clinical risk factors for 30, 60, and 90-day readmission outcomes among adult patients with a COVID-19-associated inpatient hospitalization encounter within a regional health information exchange between February 1, 2020, to December 1, 2022.

Results and discussion

In this cohort of 91,007 adult patients with a COVID-19-associated hospitalization, over 21% were readmitted to the hospital within 90  days (n = 19,679), and 13% were readmitted within 30  days (n = 11,912). In logistic regression analyses, Hispanic and non-Hispanic Asian patients were less likely to be readmitted within 90  days (adjusted odds ratio [aOR]: 0.8, 95% confidence interval [CI]: 0.7-0.9, and aOR: 0.8, 95% CI: 0.8-0.8), while non-Hispanic Black patients were more likely to be readmitted (aOR: 1.1, 95% CI: 1.0-1.1, p = 0.002), compared to non-Hispanic White patients. Area deprivation index displayed a clear dose-response relationship to readmission: patients living in the most disadvantaged neighborhoods were more likely to be readmitted within 30 (aOR: 1.1, 95% CI: 1.0-1.2), 60 (aOR: 1.1, 95% CI: 1.2-1.2), and 90  days (aOR: 1.2, 95% CI: 1.1-1.2), compared to patients from the least disadvantaged neighborhoods. Our findings demonstrate the lasting impact of COVID-19, especially among members of marginalized communities, and the increasing burden of COVID-19 morbidity on the healthcare system.

Sociodemographic Factors are Associated with Care Delivery and Outcomes in Pediatric Severe Sepsis

IMPORTANCE

Sepsis is a leading cause of morbidity and mortality in the United States and disparate outcomes exist between racial/ethnic groups despite improvements in sepsis management. These observed differences are often related to social determinants of health (SDoH). Little is known about the role of SDoH on outcomes in pediatric sepsis.

OBJECTIVE

This study examined the differences in care delivery and outcomes in children with severe sepsis based on race/ethnicity and neighborhood context (as measured by the social vulnerability index).

DESIGN SETTING AND PARTICIPANTS

This retrospective, cross-sectional study was completed in a quaternary care children's hospital. Patients 18 years old or younger who were admitted between May 1, 2018, and February 28, 2022, met the improving pediatric sepsis outcomes (IPSO) collaborative definition for severe sepsis. Composite measures of social vulnerability, care delivery, and clinical outcomes were stratified by race/ethnicity.

MAIN OUTCOMES AND MEASURES

The primary outcome of interest was admission to the PICU. Secondary outcomes were sepsis recognition and early goal-directed therapy (EGDT).

RESULTS

A total of 967 children met the criteria for IPSO-defined severe sepsis, of whom 53.4% were White/non-Hispanic. Nearly half of the cohort (48.7%) required PICU admission. There was no difference in illness severity at PICU admission by race (1.01 vs. 1.1, p = 0.18). Non-White race/Hispanic ethnicity was independently associated with PICU admission (odds ratio [OR] 1.35 [1.01-1.8], p = 0.04). Although social vulnerability was not independently associated with PICU admission (OR 0.95 [0.59-1.53], p = 0.83), non-White children were significantly more likely to reside in vulnerable neighborhoods (0.66 vs. 0.38, p < 0.001). Non-White race was associated with lower sepsis recognition (87.8% vs. 93.6%, p = 0.002) and less EGDT compliance (35.7% vs. 42.8%, p = 0.024).

CONCLUSIONS AND RELEVANCE

Non-White race/ethnicity was independently associated with PICU admission. Differences in care delivery were also identified. Prospective studies are needed to further investigate these findings.

How Schools Can Help Address Social Determinants of Health in Asthma Management

Schools are in a unique position to address social determinants of health (SDOHs) in pediatric asthma management because of their potential to provide resources and facilitate collaboration with health care providers and services for children at risk within their community. SDOHs include economic factors, educational attainment and health literacy, neighborhood factors and the built environment, social and community aspects including discrimination and racism, and health care access and quality. These factors have a significant impact on asthma health in children, and certain populations such as minoritzed populations and those living in high-poverty environments have been shown to be at greater risk for adverse effects of SDOHs on asthma outcomes. School-based asthma programs address several SDOHs including health literacy, the built environment, and health care quality and access and have been shown to improve asthma outcomes. Key components include connection between the school and the health care team, self-management education, and directly observed therapy. School nurses play a key role in directing and managing effective programs because they can evaluate and support a student's health while considering the effect of SDOHs at interpersonal, institutional, community, and policy levels.

Wide Institutional Variability in the Treatment of Pediatric Critical Asthma: A Multicenter Retrospective Study

OBJECTIVES

Children with status asthmaticus refractory to first-line therapies of systemic corticosteroids and inhaled beta-agonists often receive additional treatments. Because there are no national guidelines on the use of asthma therapies in the PICU, we sought to evaluate institutional variability in the use of adjunctive asthma treatments and associations with length of stay (LOS) and PICU use.

DESIGN

Multicenter retrospective cohort study.

SETTING

Administrative data from the Pediatric Health Information Systems (PHIS) database.

PATIENTS

All inpatients 2-18 years old were admitted to a PHIS hospital between 2013 and 2021 with a diagnostic code for asthma.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

This study included 213,506 inpatient encounters for asthma, of which 29,026 patient encounters included care in a PICU from 39 institutions. Among these PICU encounters, large variability was seen across institutions in both the number of adjunctive asthma therapies used per encounter (min: 0.6, median: 1.7, max: 2.5, p < 0.01) and types of adjunctive asthma therapies (aminophylline, ipratropium, magnesium, epinephrine, and terbutaline) used. The center-level median hospital LOS ranged from 1 (interquartile range [IQR]: 1, 3) to 4 (3, 6) days. Among all the 213,506 inpatient encounters for asthma, the range of asthma admissions that resulted in PICU admission varied between centers from 5.2% to 47.3%. The average number of adjunctive therapies used per institution was not significantly associated with hospital LOS ( p = 0.81) nor the percentage of encounters with PICU admission ( p = 0.47).

CONCLUSIONS

Use of adjunctive therapies for status asthmaticus varies widely among large children's hospitals and was not associated with hospital LOS or the percentage of encounters with PICU admission. Wide variance presents an opportunity for standardizing care with evidence-based guidelines to optimize outcomes and decrease adverse treatment effects and hospital costs.

The Child Opportunity Index and asthma morbidity among children younger than 5 years old in Washington, DC

BACKGROUND

Place-based social determinants of health are associated with pediatric asthma morbidity. However, there is little evidence on how social determinants of health correlate to the disproportionately high rates of asthma morbidity experienced by children <5 years old.

OBJECTIVES

This study sought to evaluate census tract associations between the Child Opportunity Index ±COI) and at-risk rates (ARRs) for pediatric asthma-related emergency department (ED) encounters and hospitalizations in Washington, DC.

METHODS

This was a cross-sectional study of children <5 years old with physician-diagnosed asthma included in the DC Asthma Registry between January 2018 and December 2019. Census tract COI score (1-100) and its 3 domains (social/economic, health/environmental, and educational) were the exposures (source: www.diversitydatakids.org). ED and hospitalization ARRs (outcomes) were created by dividing counts of ED encounters and hospitalizations by populations with asthma for each census tract and adjusted for population-level demographic (age, sex, insurance), clinical (asthma severity), and community (violent crime and limited English proficiency) covariates.

RESULTS

Within a study population of 3806 children with a mean age of 2.4 ± 1.4 years, 2132 (56%) had 5852 ED encounters, and 821 (22%) had 1418 hospitalizations. Greater census tract overall COI, social/economic COI, and educational COI were associated with fewer ED ARRs. There were no associations between the health/environmental COI and ED ARRs or between the COI and hospitalization ARRs.

CONCLUSION

Improving community-level social, economic, and educational opportunity within specific census tracts may reduce ED ARRs in this population.

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.

Cumulative Health Vulnerabilities Among Adolescents by Age and Neighborhood Opportunity

BACKGROUND AND OBJECTIVES

Early detection of health vulnerabilities in adolescents is integral to promoting healthy behaviors into adulthood. Our objective was to quantify the prevalence of health vulnerabilities among adolescents and examine differences by age and neighborhood opportunity.

METHODS

In a cross-sectional analysis of electronic health record data for adolescents aged 13 to 18 years with preventive visits in a large pediatric primary care network between September 2021 and September 2022, we examined 5 health vulnerabilities: Tobacco use, substance use, firearm access, condomless intercourse, and depressive symptoms. Health vulnerabilities were assessed via self-reported adolescent health questionnaire and the validated Patient Health Questionnaire-Modified. Prevalence of health vulnerabilities were calculated alone and in combination, and compared by age and by quintile of neighborhood Child Opportunity Index (COI) score. Multivariable logistic regression estimated associations of neighborhood COI with reporting ≥2 health vulnerabilities.

RESULTS

Among 40 197 adolescents (57.7% aged 13-15 years, 66.3% living in "high"/"very high" COI neighborhoods), 29.7% reported at least 1 health vulnerability and 7.9% reported ≥2 vulnerabilities. Cumulative health vulnerabilities were more prevalent among older adolescents and adolescents from lower opportunity neighborhoods. In adjusted models, lower COI was associated with 65% higher odds of having ≥2 vulnerabilities (odds ratio 1.65, 95% confidence interval 1.43-1.91) compared with adolescents from the highest COI quintile.

CONCLUSIONS

Understanding the relationship between health vulnerabilities and neighborhood opportunities among adolescents may allow pediatric primary care providers and health systems to offer more tailored community support services and transdiagnostic specialized care navigation to address the health needs of teens with multiple vulnerabilities.

Emergency department use and geospatial variation in social determinants of health: a pilot study from South Carolina

BACKGROUND

Health systems are increasingly addressing patients' social determinants of health (SDoH)-related needs and investigating their effects on health resource use. SDoH needs vary geographically; however, little is known about how this geographic variation in SDoH needs impacts the relationship between SDoH needs and health resource use.

METHODS

This study uses data from a SDoH survey administered to a pilot patient population in a single health system and the electronic medical records of the surveyed patients to determine if the impact of SDoH needs on emergency department use varies geospatially at the US Census block group level. A Bayesian zero-inflated negative binomial model was used to determine if emergency department visits after SDoH screening varied across block groups. Additionally, the relationships between the number of emergency department visits and the response to each SDoH screening question was assessed using Bayesian negative binomial hurdle models with spatially varying coefficients following a conditional autoregressive (CAR) model at the census block group level.

RESULTS

Statistically important differences in emergency department visits after screening were found between block groups. Statistically important spatial variation was found in the association between patient responses to the questions concerning unhealthy home environments (e.g. mold, bugs/rodents, not enough air conditioning/heat) or domestic violence/abuse and the mean number of emergency department visits after the screen.

CONCLUSIONS

Notable spatial variation was found in the relationships between screening positive for unhealthy home environments or domestic violence/abuse and emergency department use. Despite the limitation of a relatively small sample size, sensitivity analyses suggest spatially varying relationships between other SDoH-related needs and emergency department use.

Socioeconomic and environmental determinants of asthma prevalence: a cross-sectional study at the U.S. County level using geographically weighted random forests

BACKGROUND

Some studies have established associations between the prevalence of new-onset asthma and asthma exacerbation and socioeconomic and environmental determinants. However, research remains limited concerning the shape of these associations, the importance of the risk factors, and how these factors vary geographically.

OBJECTIVE

We aimed (1) to examine ecological associations between asthma prevalence and multiple socio-physical determinants in the United States; and (2) to assess geographic variations in their relative importance.

METHODS

Our study design is cross sectional based on county-level data for 2020 across the United States. We obtained self-reported asthma prevalence data of adults aged 18 years or older for each county. We applied conventional and geographically weighted random forest (GWRF) to investigate the associations between asthma prevalence and socioeconomic (e.g., poverty) and environmental determinants (e.g., air pollution and green space). To enhance the interpretability of the GWRF, we (1) assessed the shape of the associations through partial dependence plots, (2) ranked the determinants according to their global importance scores, and (3) mapped the local variable importance spatially.

RESULTS

Of the 3059 counties, the average asthma prevalence was 9.9 (standard deviation ± 0.99). The GWRF outperformed the conventional random forest. We found an indication, for example, that temperature was inversely associated with asthma prevalence, while poverty showed positive associations. The partial dependence plots showed that these associations had a non-linear shape. Ranking the socio-physical environmental factors concerning their global importance showed that smoking prevalence and depression prevalence were most relevant, while green space and limited language were of minor relevance. The local variable importance measures showed striking geographical differences.

CONCLUSION

Our findings strengthen the evidence that socio-physical environments play a role in explaining asthma prevalence, but their relevance seems to vary geographically. The results are vital for implementing future asthma prevention programs that should be tailor-made for specific areas.

Population-level SDOH and Pediatric Asthma Health Care Utilization: A Systematic Review

CONTEXT

Spatial analysis is a population health methodology that can determine geographic distributions of asthma outcomes and examine their relationship to place-based social determinants of health (SDOH).

OBJECTIVES

To systematically review US-based studies analyzing associations between SDOH and asthma health care utilization by geographic entities.

DATA SOURCES

Pubmed, Medline, Web of Science, Scopus, and Cumulative Index to Nursing and Allied Health Literature.

STUDY SELECTION

Empirical, observational US-based studies were included if (1) outcomes included asthma-related emergency department visits or revisits, and hospitalizations or rehospitalizations; (2) exposures were ≥1 SDOH described by the Healthy People (HP) SDOH framework; (3) analysis occurred at the population-level using a geographic entity (eg, census-tract); (4) results were reported separately for children ≤18 years.

DATA EXTRACTION

Two reviewers collected data on study information, demographics, geographic entities, SDOH exposures, and asthma outcomes. We used the HP SDOH framework's 5 domains to organize and synthesize study findings.

RESULTS

The initial search identified 815 studies; 40 met inclusion criteria. Zip-code tabulation areas (n = 16) and census-tracts (n = 9) were frequently used geographic entities. Ten SDOH were evaluated across all HP domains. Most studies (n = 37) found significant associations between ≥1 SDOH and asthma health care utilization. Poverty and environmental conditions were the most often studied SDOH. Eight SDOH-poverty, higher education enrollment, health care access, primary care access, discrimination, environmental conditions, housing quality, and crime - had consistent significant associations with asthma health care utilization.

CONCLUSIONS

Population-level SDOH are associated with asthma health care utilization when evaluated by geographic entities. Future work using similar methodology may improve this research's quality and utility.

Metabolomics identifies disturbances in arginine, phenylalanine, and glycine metabolism as differentiating features of exacerbating atopic asthma in children

Background

Asthma exacerbations are highly prevalent in children, but only a few studies have examined the biologic mechanisms underlying exacerbations in this population.

Objective

High-resolution metabolomics analyses were performed to understand the differences in metabolites in children with exacerbating asthma who were hospitalized in a pediatric intensive care unit for status asthmaticus. We hypothesized that compared with a similar population of stable outpatients with asthma, children with exacerbating asthma would have differing metabolite abundance patterns with distinct clustering profiles.

Methods

A total of 98 children aged 6 through 17 years with exacerbating asthma (n = 69) and stable asthma (n = 29) underwent clinical characterization procedures and submitted plasma samples for metabolomic analyses. High-confidence metabolites were retained and utilized for pathway enrichment analyses to identify the most relevant metabolic pathways that discriminated between groups.

Results

In all, 118 and 131 high-confidence metabolites were identified in positive and negative ionization mode, respectively. A total of 103 unique metabolites differed significantly between children with exacerbating asthma and children with stable asthma. In all, 8 significantly enriched pathways that were largely associated with alterations in arginine, phenylalanine, and glycine metabolism were identified. However, other metabolites and pathways of interest were also identified.

Conclusion

Metabolomic analyses identified multiple perturbed metabolites and pathways that discriminated children with exacerbating asthma who were hospitalized for status asthmaticus. These results highlight the complex biology of inflammation in children with exacerbating asthma and argue for additional studies of the metabolic determinants of asthma exacerbations in children because many of the identified metabolites of interest may be amenable to targeted interventions.

Neighborhood environmental vulnerability and pediatric asthma morbidity in US metropolitan areas

BACKGROUND

Research suggests demographic, economic, residential, and health-related factors influence vulnerability to environmental exposures. Greater environmental vulnerability may exacerbate environmentally related health outcomes. We developed a neighborhood environmental vulnerability index (NEVI) to operationalize environmental vulnerability on a neighborhood level.

OBJECTIVE

We explored the relationship between NEVI and pediatric asthma emergency department (ED) visits (2014-19) in 3 US metropolitan areas: Los Angeles County, Calif; Fulton County, Ga; and New York City, NY.

METHODS

We performed separate linear regression analyses examining the association between overall NEVI score and domain-specific NEVI scores (demographic, economic, residential, health status) with pediatric asthma ED visits (per 10,000) across each area.

RESULTS

Linear regression analyses suggest that higher overall and domain-specific NEVI scores were associated with higher annual pediatric asthma ED visits. Adjusted R2 values suggest that overall NEVI scores explained at least 40% of the variance in pediatric asthma ED visits. Overall NEVI scores explained more of the variance in pediatric asthma ED visits in Fulton County. NEVI scores for the demographic, economic, and health status domains explained more of the variance in pediatric asthma ED visits in each area compared to the NEVI score for the residential domain.

CONCLUSION

Greater neighborhood environmental vulnerability was associated with greater pediatric asthma ED visits in each area. The relationship differed in effect size and variance explained across the areas. Future studies can use NEVI to identify populations in need of greater resources to mitigate the severity of environmentally related outcomes, such as pediatric asthma.

The association between childhood opportunity index and pediatric hospitalization for firearm injury or motor vehicle crash

BACKGROUND

Community-level factors can profoundly impact children's health, including the risk of violent injury. This study's objective was to understand the relationship between the Childhood Opportunity Index and pediatric firearm injury owing to interpersonal violence compared with a motor vehicle crash.

METHODS

All pediatric patients (<18 years) who presented with an initial encounter with a firearm injury or motor vehicle crash between 2016 to 2021 were identified from 35 children's hospitals included in the Pediatric Health Information System database. The child-specific community-level vulnerability was determined by the Childhood Opportunity Index, a composite score of neighborhood opportunity level data specific to pediatric populations.

RESULTS

We identified 67,407 patients treated for injuries related to motor vehicle crashes (n = 61,527) or firearms (n = 5,880). The overall cohort had a mean age of 9.3 (standard deviation 5.4) years; 50.0% were male patients, 44.0% non-Hispanic Black, and were 60.8% publicly insured. Compared with motor vehicle crash injuries, patients with firearm-related injuries were older (12.2 vs 9.0 years), more likely to be male patients (77.7% vs 47.4%), non-Hispanic Black (63.5% vs 42.1%), and had public insurance (76.4 vs 59.3%; all P < .001). In multivariable analysis, children living in communities with lower Childhood Opportunity Index levels were more likely to present with firearm injury than those living in communities with a very high Childhood Opportunity Index. The odds increased as the Childhood Opportunity Index level decreased (odds ratio 1.33, 1.60, 1.73, 2.00 for high, moderate, low, and very low Childhood Opportunity Index, respectively; all P ≤ .001).

CONCLUSION

Children from lower-Childhood Opportunity Index communities are disproportionately impacted by firearm violence, and these findings have important implications for both clinical care and public health policy.

Social determinants of health influence preschool and caregiver experiences during symptoms and exacerbations of wheezing

BACKGROUND

Social determinants of health have been inadequately studied in preschool children with wheezing and their caregivers but may influence the care received.

OBJECTIVE

To evaluate the symptom and exacerbation experiences of wheezing preschool children and their caregivers, stratified by risk of social vulnerability, over 1 year of longitudinal follow-up.

METHODS

A total of 79 caregivers and their preschool children with recurrent wheezing and at least 1 exacerbation in the previous year were stratified by a composite measure of social vulnerability into "low" (N = 19), "intermediate" (N = 27), and "high" (N = 33) risk groups. Outcome measures at the follow-up visits included child respiratory symptom scores, asthma control, caregiver-reported outcome measures of mental and social health, exacerbations, and health care utilization. The severity of exacerbations reflected by symptom scores and albuterol use and exacerbation-related caregiver quality of life were also assessed.

RESULTS

Preschool children at high risk of social vulnerability had greater day-to-day symptom severity and more severe symptoms during acute exacerbations. High-risk caregivers were also distinguished by lower general life satisfaction at all visits and lower global and emotional quality of life during acute exacerbations which did not improve with exacerbation resolution. Rates of exacerbation or emergency department visits did not differ, but intermediate- and high-risk families were significantly less likely to seek unscheduled outpatient care.

CONCLUSION

Social determinants of health influence wheezing outcomes in preschool children and their caregivers. These findings argue for routine assessment of social determinants of health during medical encounters and tailored interventions in high-risk families to promote health equity and improve respiratory outcomes.

Socioeconomic determinants of asthma health

PURPOSE OF REVIEW

The current review provides an assessment of the recent pediatric literature evaluating socioeconomic drivers of asthma incidence and morbidity. The review addresses the specific social determinants of health related to housing, indoor and outdoor environmental exposures, healthcare access and quality, and the impact of systematic racism.

RECENT FINDINGS

Many social risk factors are associated with adverse asthma outcomes. Children living in low-income, urban neighborhoods have greater exposure to both indoor and outdoor hazards, including molds, mice, second-hand smoke, chemicals, and air pollutants, all of which are associated with adverse asthma outcomes. Providing asthma education in the community - via telehealth, school-based health centers, or peer mentors - are all effective methods for improving medication adherence and asthma outcomes. The racially segregated neighborhoods created by the racist 'redlining' policies implemented decades ago, persist today as hotspots of poverty, poor housing conditions, and adverse asthma outcomes.

SUMMARY

Routine screening for social determinants of health in clinical settings is important to identify the social risk factors of pediatric patients with asthma. Interventions targeting social risk factors can improve pediatric asthma outcomes, but more studies are needed related to social risk interventions.

Community-Level Social Vulnerability and Patterns of Adolescent Injury

Objective

To describe adolescent injuries by the community-level social vulnerability, focusing on injuries related to interpersonal violence.

Background

The Center for Disease Control and Prevention's social vulnerability index (SVI) is a tool used to characterize community-level vulnerability.

Methods

Injured adolescent trauma patients (13-17 years old) cared for at a large Level I trauma center over a 10-year period were identified. Injuries were classified by intent as either intentional or unintentional. Census tract level SVI was calculated by composite score and for 4 subindex scores (socioeconomic, household composition/disability, minority/language, housing type/transportation). Patients were stratified by SVI quartile with the lowest quartile designated as low-, the middle two quartiles as average-, and the highest quartile as high vulnerability. The primary outcome was odds of intentional injury. Demographic and injury characteristics were compared by SVI and intent. Multivariable logistic regression was used to estimate the adjusted odds of intentional injury associated with SVI.

Results

A total of 1993 injured adolescent patients (1676 unintentional and 317 intentional) were included. The composite SVI was higher in the intentional injury cohort (mean, SD: 66.7, 27.8 vs. 50.5, 30.2; P < 0.001) as was each subindex SVI. The high SVI cohort comprised 31% of the study population, 49% of intentional injuries, and 51% of deaths. The high SVI cohort had significantly increased unadjusted (odds ratio, 4.5; 95% confidence interval, 3.0-6.6) and adjusted (odds ratio, 1.8; 95% confidence interval, 1.6-2.8) odds of intentional injury.

Conclusions

Adolescents living in the highest SVI areas experience significantly higher odds of intentional injury. SVI and SVI subindex details may provide direction for community-level interventions to decrease the impact of violent injury among adolescents.

Poorer Caregiver Mental and Social Health Is Associated With Worse Respiratory Outcomes in Preschool Children With Recurrent Wheezing

BACKGROUND

Mental and social health in caregivers of preschool children has been inadequately studied, but it may influence respiratory symptom recognition and management.

OBJECTIVE

To identify preschool caregivers at highest risk for poor mental and social health outcomes on the basis of patient-reported outcome measures.

METHODS

Female caregivers 18 to 50 years old (N = 129) with a preschool child aged 12 to 59 months with recurrent wheezing and at least 1 exacerbation in the previous year completed 8 validated patient-reported outcome measures of mental and social health. k-means cluster analysis was performed using the T score for each instrument. Caregiver/child dyads were followed for 6 months. Primary outcomes included caregiver quality of life and wheezing episodes in their preschool children.

RESULTS

Three clusters of caregivers were identified: low risk (n = 38), moderate risk (n = 56), and high risk (n = 35). The high-risk cluster had the lowest life satisfaction, meaning and purpose, and emotional support and the highest social isolation, depression, anger, perceived stress, and anxiety that persisted for more than 6 months. This cluster had the poorest quality of life and marked disparities in social determinants of health. Preschool children from caregivers in the high-risk cluster had more frequent respiratory symptoms and a higher occurrence of any wheezing episode, but a lower outpatient physician utilization for wheezing management.

CONCLUSIONS

Caregiver mental and social health is associated with respiratory outcomes in preschool children. Routine assessment of mental and social health in caregivers is warranted to promote health equity and improve wheezing outcomes in preschool children.

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.

The Effects of COVID-19 Pandemic Policy on Social Needs Across the State of Kansas and Western Missouri: Paired Survey Response Testing

BACKGROUND

Studying patients' social needs is critical to the understanding of health conditions and disparities, and to inform strategies for improving health outcomes. Studies have shown that people of color, low-income families, and those with lower educational attainment experience greater hardships related to social needs. The COVID-19 pandemic represents an event that severely impacted people's social needs. This pandemic was declared by the World Health Organization on March 11, 2020, and contributed to food and housing insecurity, while highlighting weaknesses in the health care system surrounding access to care. To combat these issues, legislators implemented unique policies and procedures to help alleviate worsening social needs throughout the pandemic, which had not previously been exerted to this degree. We believe that improvements related to COVID-19 legislature and policy have positively impacted people's social needs in Kansas and Missouri, United States. In particular, Wyandotte County is of interest as it suffers greatly from issues related to social needs that many of these COVID-19-related policies aimed to improve.

OBJECTIVE

The research objective of this study was to evaluate the change in social needs before and after the COVID-19 pandemic declaration based on responses to a survey from The University of Kansas Health System (TUKHS). We further aimed to compare the social needs of respondents from Wyandotte County from those of respondents in other counties in the Kansas City metropolitan area.

METHODS

Social needs survey data from 2016 to 2022 were collected from a 12-question patient-administered survey distributed by TUKHS during a patient visit. This provided a longitudinal data set with 248,582 observations, which was narrowed down into a paired-response data set for 50,441 individuals who had provided at least one response before and after March 11, 2020. These data were then bucketed by county into Cass (Missouri), Clay (Missouri), Jackson (Missouri), Johnson (Kansas), Leavenworth (Kansas), Platte (Missouri), Wyandotte (Kansas), and Other counties, creating groupings with at least 1000 responses in each category. A pre-post composite score was calculated for each individual by adding their coded responses (yes=1, no=0) across the 12 questions. The Stuart-Maxwell marginal homogeneity test was used to compare the pre and post composite scores across all counties. Additionally, McNemar tests were performed to compare responses before and after March 11, 2020, for each of the 12 questions across all counties. Finally, McNemar tests were performed for questions 1, 7, 8, 9, and 10 for each of the bucketed counties. Significance was assessed at P<.05 for all tests.

RESULTS

The Stuart-Maxwell test for marginal homogeneity was significant (P<.001), indicating that respondents were overall less likely to identify an unmet social need after the COVID-19 pandemic. McNemar tests for individual questions indicated that after the COVID-19 pandemic, respondents across all counties were less likely to identify unmet social needs related to food availability (odds ratio [OR]=0.4073, P<.001), home utilities (OR=0.4538, P<.001), housing (OR=0.7143, P<.001), safety among cohabitants (OR=0.6148, P<.001), safety in their residential location (OR=0.6172, P<.001), child care (OR=0.7410, P<0.01), health care access (OR=0.3895, P<.001), medication adherence (OR=0.5449, P<.001), health care adherence (OR=0.6378, P<.001), and health care literacy (0.8729, P=.02), and were also less likely to request help with these unmet needs (OR=0.7368, P<.001) compared with prepandemic responses. Responses from individual counties were consistent with the overall results for the most part. Notably, no individual county demonstrated a significant reduction in social needs relating to a lack of companionship.

CONCLUSIONS

Post-COVID-19 responses showed improvement across almost all social needs-related questions, indicating that the federal policy response possibly had a positive impact on social needs across the populations of Kansas and western Missouri. Some counties were impacted more than others and positive outcomes were not limited to urban counties. The availability of resources, safety net services, access to health care, and educational opportunities could play a role in this change. Future research should focus on improving survey response rates from rural counties to increase their sample size, and to evaluate other explanatory variables such as food pantry access, educational status, employment opportunities, and access to community resources. Government policies should be an area of focused research as they may affect the social needs and health of the individuals considered in this analysis.

Social determinants of health and asthma

PURPOSE OF REVIEW

Social determinants of health play a major role in healthcare utilization and outcomes in patients with asthma. Continuing to understand how these complex and interwoven relationships interact to impact patient care will be crucial to creating innovative programmes that address these disparities.

RECENT FINDINGS

The current literature continues to support the association of substandard housing, urban and rural neighbourhoods, and race/ethnicity with poor asthma outcomes. Targeted interventions with community health workers (CHWs), telemedicine and local environmental rectifications can help improve outcomes.

SUMMARY

The link between social determinants and poor asthma outcomes continues to be supported by recent literature. These factors are both nonmodifiable and consequences of institutionalized racist policies that require innovative ideas, technologic equity and funding for groups most at risk for poorer outcomes.

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.

Measuring disadvantage: A systematic comparison of United States small-area disadvantage indices

Extensive evidence demonstrates the effects of area-based disadvantage on a variety of life outcomes, such as increased mortality and low economic mobility. Despite these well-established patterns, disadvantage, often measured using composite indices, is inconsistently operationalized across studies. To address this issue, we systematically compared 5 U.S. disadvantage indices at the county-level on their relationships to 24 diverse life outcomes related to mortality, physical health, mental health, subjective well-being, and social capital from heterogeneous data sources. We further examined which domains of disadvantage are most important when creating these indices. Of the five indices examined, the Area Deprivation Index (ADI) and Child Opportunity Index 2.0 (COI) were most related to a diverse set of life outcomes, particularly physical health. Within each index, variables from the domains of education and employment were most important in relationships with life outcomes. Disadvantage indices are being used in real-world policy and resource allocation decisions; an index's generalizability across diverse life outcomes, and the domains of disadvantage which constitute the index, should be considered when guiding such decisions.

New considerations of health disparities within allergy and immunology

The pandemic, political upheavals, and social justice efforts in our society have resulted in attention to persistent health disparities and the urgent need to address them. Using a scoping review, we describe published updates to address disparities and targets for interventions to improve gaps in care within allergy and immunology. These disparities-related studies provide a broad view of our current understanding of how social determinants of health threaten patient outcomes and our ability to advance health equity efforts in our field. We outline next steps to improve access to care and advance health equity for patients with allergic/immunologic diseases through actions taken at the individual, community, and policy levels, which could be applied outside of our field. Key among these are efforts to increase the diversity among our trainees, providers, and scientific teams and enhancing efforts to participate in advocacy work and public health interventions. Addressing health disparities requires advancing our understanding of the interplay between social and structural barriers to care and enacting the needed interventions in various key areas to effect change.

Understanding racial disparities in childhood asthma using individual- and neighborhood-level risk factors

BACKGROUND

Racial disparities in childhood asthma outcomes result from a complex interplay of individual- and neighborhood-level factors.

OBJECTIVES

We sought to examine racial disparities in asthma-related emergency department (ED) visits between African American (AA) and European American (EA) children.

METHODS

This is a retrospective study of patients younger than 18 years who visited the ED at Cincinnati Children's for asthma from 2009 to 2018. The outcome was number of ED visits during a year. We assessed 11 social, economic, and environmental variables. Mediation and mixed-effects analyses were used to assess relationships between race, mediators, and number of ED visits.

RESULTS

A total of 31,114 children (46.1% AA, 53.9% EA) had 186,779 asthma-related ED visits. AA children had more visits per year than EA children (2.23 vs 2.15; P < .001). Medicaid insurance was associated with a 7% increase in rate of ED visits compared with commercial insurance (1.07; 95% CI, 1.03-1.1). Neighborhood socioeconomic deprivation was associated with an increased rate of ED visits in AA but not in EA children. Area-level particulate matter with diameter less than 2.5 μm, pollen, and outdoor mold were associated with an increased rate of ED visits for both AA and EA children (all P < .001). Associations between race and number of ED visits were mediated by insurance, area-level deprivation, particulate matter with diameter less than 2.5 μm, and outdoor mold (all P < .001), altogether accounting for 55% of the effect of race on ED visits. Race was not associated with number of ED visits (P = .796) after accounting for mediators.

CONCLUSIONS

Racial disparities in asthma-related ED visits are mediated by social, economic, and environmental factors, which may be amenable to interventions aimed at improving outcomes and eliminating inequities.

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.

Chemical injuries of the upper extremity

The prompt recognition and management (Tables 8-1 and 8-2) of chemical burns of the upper extremity may prevent injury to the deep structures of the hand and may make the difference between satisfactory rehabilitation and crippling deformities. Immediate irrigation with water is the single most important treatment that can be carried out, and should be continued for at least an hour and often for several hours, depending on the severity of the injury. Precious time should not be wasted hunting for a specific neutralizing agent. Hydrofluoric acid injuries and phosphorus injuries are the two exceptions to this principle. After copious irrigation and débridement, small superficial burns may be treated without dressings or topical therapy. Large partial-thickness burns are best treated with Sulfamylon burn cream and then with with biologic dressings until healing is achieved. Full-thickness injuries of limited extent should be excised and skin-grafted to regain maximum function, and more extensive burns treated in a nonexicisional regimen.