Explaining Racial Disparities in Child Asthma Readmission Using a Causal Inference Approach

Analyzing Racial Disparities in Pediatric Atopic Comorbidity Emergency Department Visitation Using Electronic Health Records

BACKGROUND

Although atopic diseases and associated comorbidities are prevalent in children, little is known about racial differences in emergency department (ED) visitation.

OBJECTIVE

We sought to examine racial differences in ED visitation among children with allergic comorbidities.

METHODS

We conducted a retrospective study of patients (<21 years) who visited the ED at a large pediatric hospital for atopic dermatitis (AD), food allergy (FA), asthma, allergic rhinitis (AR), and eosinophilic esophagitis (EoE) from 2015 to 2019. We determined the probability of ED encounter-free survival time using hazard ratios (HRs) and time to recurrence (TTR) of ED encounter for patients identified as Black/African American (AA) and White/European American (EA). We assessed potentially underlying allergic, demographic, and place-based factors and potential interactions between factors.

RESULTS

A total of 30,894 patients (38% AA and 62% EA) had 83,078 ED encounters (38,378 first ED encounters and 44,700 recurrent ED encounters) during the study period. Asthma and AR showed the highest rate of comorbidity in ED encounters in both AA and EA children. AA children exhibited a higher HR for encounter following index AD and asthma encounters. We found an interaction between the type of insurance and race in ED encounters for AD, FA, AR, and EoE. In AA children, those insured by Medicaid demonstrated a higher HR for any encounter than those with commercial insurance. Conversely, in EA children, those with Medicaid insurance showed a lower HR than their commercially insured peers. Regardless of race, allergic comorbidity increased the HR of ED encounter (1.12-1.62) for all allergic diseases. At 5-year follow-up, mean differences in TTR were shorter in AA children than EA children in AD, FA, and asthma.

CONCLUSIONS

Identification of disease-specific racial disparities in ED visitation related to atopic diseases is a necessary first step toward the design and implementation of interventions capable of equitably reducing emergency care in atopic comorbid children.

Risk of stroke admission after long-term exposure to PM1: Evidence from a large cohort in South China

BACKGROUND

Limited attention has been paid to the health effects of long-term PM1 exposure on stroke admission. Current investigations exploring the long-term PM exposure effect are largely based on observational studies, and PM generally is not allocated randomly to participants. Using traditional regression models might confuse messaging and hinder policy recommendations for pollution control and disease prevention policies.

METHODS

We conducted a cohort study among 36,271 adults from one of the largest cities in China in 2015 and followed up through 2020. Hazard ratios of stroke admissions following long-term PM1 exposure were estimated via a causal inference approach, marginal structural time-varying Cox proportional hazard model, accounting for multiple confounders. Additionally, several sensitivity analyses and impact modification analyses were carried out.

RESULTS AND DISCUSSION

Associations with 1 μg/m3 increase in long-term PM1 were identified for total (HR, 1.079; 95 %CI, 1.012-1.151) and ischemic stroke admissions (HR, 1.092; 95 %CI, 1.018-1.171). The harmful associations varied with exposure duration, initially increasing and then decreasing. The 2-3 years cumulative exposure was associated with a 3.3-5.4 % raised risk for total stroke. For every 1 μg/m³ increase in long-term PM1 exposure, females exhibited a higher risk of both total and ischemic stroke (13 % and 16 %) than men (4 % and 5 %). Low-exposure individuals (whose annual PM1 concentrations were under the third quartile among the annual concentrations for all the participants) exhibited greater sensitivity to PM1 effects (total stroke: 1.079 vs. 1.107; ischemic stroke: 1.092 vs. 1.116). The results underline the importance of safeguarding low-exposed people in highly polluted areas and suggest that long-term PM1 exposure may increase stroke admission risk, warranting attention to vulnerable groups.

Social determinants of health and somatic growth in preterm infants and children with chronic lung disease

OBJECTIVE

Bronchopulmonary dysplasia (BPD), a common complication of prematurity, is associated with impaired lung function and increased morbidity in childhood. These children display heterogeneous somatic growth patterns which may ultimately impact their risk for later respiratory disease. We aim to understand the relationship between socioenvironmental exposures and growth in this population.

METHODS

A retrospective longitudinal cohort study was conducted using participants (n = 616) enrolled in the Johns Hopkins Outpatient BPD Registry. Growth measurements between 0 and 36 months of age were obtained. Somatic growth measurements, both corrected and uncorrected for gestational age, were converted to z-scores using Center for Disease Control and Prevention normative data. Using a participant's residential zip code, we utilized the 2019 Area Deprivation Index (ADI), the Childhood Opportunity Index (COI) 2.0, and neighborhood food insecurity data from the Maryland Food Bank. Linear regression analysis was performed employing individual socioenvironmental measures as independent variables and growth z-scores as dependent variables in univariate analysis. Univariate analysis was repeated adjusting for gestational age, BPD severity, and the presence of a gastrostomy tube (GT).

RESULTS

Of the three measures analyzed, national COI (nCOI) showed a significant association with mean weight z-scores, mean ADI showed some association with mean weight z-scores, and the percentage of a community experiencing food insecurity showed no association with mean weight z-scores. After adjusting for gestational age, BPD severity, and presence of a GT, children living in areas of greater opportunity (higher nCOI values), had significantly lower weight z-scores at 12 months corrected and at 24 and 36 months uncorrected CONCLUSIONS: Our findings suggest that the COI 2.0, a multidimensional measure, captures more facets of an individual's social environment, as compared to the singular nature of a measure of food insecurity. There are several potential explanations for the phenomenon seen, and further understanding of this dynamic is crucial for designing effective interventions and policies to better address inequities in outcomes.

Lower opportunity ZIP code is associated with worse outcomes after listing in pediatric heart transplantation

BACKGROUND

The Child Opportunity Index (COI) comprehensively measures children's social determinants of health. We describe association between COI and outcomes after listing for heart transplantation.

METHODS

We conducted a retrospective review of the United Network for Organ Sharing (UNOS) database for U.S. children listed for heart transplant between 2012 and 2020. ZIP codes were utilized to assign COI. Primary outcome was survival from time of listing. Secondary outcomes included waitlist survival, 1-year post-transplant survival, and conditional 1-year post-transplant survival. Cox regression was performed adjusting for payor, age, race, diagnosis, and support at listing for all outcomes except waitlist survival, for which Fine-Gray competing risk analysis was performed.

RESULTS

Of 5,723 children listed, 109 were excluded due to missing ZIP codes. Race/ethnicity and payor were associated with COI (p < 0.001). Patients living in very low COI ZIP codes compared to all others had increased mortality from time of listing (HR 1.16, CI 1.03-1.32, p = 0.02) with 1-, 5-, and 9-year survival of 79.3% vs 82.2%, 66.5% vs 73.0%, and 53.6% vs 64.7% respectively, were more likely to be removed from the waitlist due to death or being too sick (subdistribution HR 1.26, 95% CI 1.10-1.42), and had increased mortality conditional on one-year post-transplant survival (HR 1.38, 1.09-1.74, p = 0.008) with 1-, 3-, and 5- year survival of 94.7% vs 97.3%, 87.0% vs 93.1%, and 78.6% vs 86.9%.

CONCLUSIONS

Children living in lower opportunity ZIP codes had poorer survival from time of listing, poorer waitlist survival, and poorer conditional one-year post-transplant survival.

A novel tool using social and environmental determinants of health to assess pediatric asthma in the emergency department

Asthma, the most common chronic disease in children, affects more than 4 million children in the United States, disproportionately affecting those who are economically disadvantaged and racial and ethnic minorities. Studies have shown that the racial and ethnic disparities in asthma outcomes can be largely explained by environmental, socioeconomic and other social determinants of health (SDoH). Utilizing new approaches to stratify disease severity and risk, which focus on the underlying SDoH that lead to asthma disparity, provides an opportunity to disentangle race and ethnicity from its confounding social determinants. In particular, with the growing use of geospatial information systems, geocoded data can enable researchers and clinicians to quantify social and environmental impacts of structural racism. When these data are systematically collected and tabulated, researchers, and ultimately clinicians at the bedside, can evaluate patients' neighborhood context and create targeted interventions toward those factors most associated with asthma morbidity. To do this, we have designed a view (mPage in the Cerner electronic health record) that centralizes key clinical information and displays it alongside SDoH variables shown to be linked to asthma incidence and severity. Once refined and validated, which is the next step in our project, our goal is for emergency medicine clinicians to use these data in real time while caring for patients with asthma. Our multidisciplinary, patient-centered approach that leverages modern informatics tools will create opportunities to better triage patients with asthma exacerbations, choose the best interventions, and target underlying determinants of disease.

Patterns and drivers of disparities in pediatric asthma outcomes among Medicaid-enrolled children living in subsidized housing in NYC

OBJECTIVE

There are persistent disparities in pediatric asthma morbidity in the U.S. We linked claims data with information on neighborhood-level risk factors to explore drivers of asthma disparities among Medicaid-enrolled children in New York City subsidized housing.

METHODS

We constructed a cohort of Medicaid-enrolled children living in public or other subsidized housing, based on residential address, in NYC between 2016 and 2019 (n = 108,969). We examined claims-derived asthma prevalence across age and racial and ethnic groups, integrating census tract-level information and using the Bayesian Improved Surname Geocoding (BISG) algorithm to address high rates of missing data in self-reported race and ethnicity. We used inverse probability weighting (IPW) to explore the extent to which disparities persisted when exposure to asthma risk factors - related to the built environment, neighborhood poverty, and air quality - were balanced across groups. This analysis was conducted in 2022-2023.

RESULTS

Claims-derived asthma prevalence was highest among children <7 years at baseline and among non-Hispanic Black and Hispanic children. For example, among children aged 3-6 years at baseline, claims-derived prevalence was 17.3% and 18.1% among non-Hispanic Black and Hispanic children, respectively, compared to 9.3% and 9.0% among non-Hispanic White and non-Hispanic Asian American/Pacific Islander children. Using IPW to balance exposure to asthma risk factors across racial and ethnic groups attenuated, but did not eliminate, disparities in asthma prevalence.

CONCLUSIONS

We found high asthma burden among children living in subsidized housing. Modifiable place-based characteristics may be important contributors to pediatric asthma disparities.

An Institutional Approach to Equity and Improvement in Child Health Outcomes

Pediatric health inequities are pervasive. Approaches by health care institutions to address inequities often, and increasingly, focus on social needs screening without linked, robust responses. Even when actions in pursuit of health equity do occur within health care institutions, efforts occur in isolation from each other, standing in the way of cross-learning and innovation. Learning network methods hold promise when institutions are confronted with complex, multidimensional challenges. Equity-oriented learning networks may therefore accelerate action to address complex factors that contribute to inequitable pediatric health outcomes, enabling rapid learning along the way. We established an institutional Health Equity Network (HEN) in pursuit of excellent and equitable health outcomes for children and adolescents in our region. The HEN supports action teams seeking to eliminate pediatric health inequities in their clinical settings. Teams deploy targeted interventions to meet patients' and families' needs, addressing both medical and social factors affecting health and wellbeing. The primary, shared HEN measure is the equity gap in hospitalization rates between Black patients and all other patients. The HEN currently has 10 action teams and promotes rapid learning and scaling of interventions via monthly "action period calls" and "solutions labs" focused on successes, challenges, and potential common solutions (eg, scaling of existing medical-legal partnership to subspecialty clinics). In this Advocacy Case Study, we detail the design, implementation, and early outcomes from the HEN, our equity-oriented learning network.

Seasonal variations and social disparities in asthma hospitalizations and outcomes

OBJECTIVE

Exposure to asthma exacerbating triggers may be dependent on the season and an individual's social factors and subsequent means to avoid triggers. We assessed for seasonal variations and differential outcomes based on race and income in admissions for asthma in a United States nationwide assessment.

METHODS

This retrospective study assessed adult hospitalizations for asthma 2016-2019 using the National Inpatient Sample. Hospitalizations were categorized by season: winter (December-February), spring (March-May), summer (June-August), fall (September-November). Multivariable linear and logistic regression were used to assess associations between season, race, income quartile (determined by the median income within a patient's ZIP code), and outcomes.

RESULTS

The study included 423,140 admissions with a mean age of 51 years, and 73% of the cohort being female and 56% non-white. Admissions peaked during winter (124, 145) and were lowest in summer (80,525). Intubation rates were increased in summer compared to winter (2.73 vs 1.93%, aOR = 1.19, 95% CI: 1.04-1.37) as were rates of noninvasive positive pressure ventilation (NIPPV) (7.92 vs 7.06%, aOR = 1.08, 95% CI: 1.00-1.17). Compared to white patients, intubation (2.53 vs 1.87%, absolute difference 0.66%, aOR = 1.14, 95% CI: 1.02-1.29) and NIPPV (9.95 vs 5.45%, absolute difference 4.5%, aOR = 1.69, 95% CI: 1.57-1.82) were increased in Black patients. No significant associations between income and clinical outcomes were found.

CONCLUSIONS

Asthma admission peak during winter, while summer admissions and non-white race are associated with higher rates of NIPPV and intubation. Public health initiatives and strategically timed outpatient visits could combat seasonal variation and social disparities in asthma outcomes.

Neighborhood Socioeconomic Context Predicts Pediatric Asthma Exacerbation

Causes of asthma exacerbation in children have been studied extensively at the individual level, but contributions of neighborhood-level factors are less explored. We test which distinctive residential characteristics produce variation in uncontrolled asthma among pediatric patients. We extracted electronic medical record data from pediatric patients living in Southern California and used multilevel modeling techniques to isolate which neighborhood characteristics drive inequitable asthma control. Above and beyond the individual-level factors known to predict inadequate disease control, neighborhoods with greater concentration of non-Hispanic black residents (odds ratios [OR] = 1.02; 95% confidence interval [CI]: 0.99-1.03; P < .05), higher proportions of female-headed households (OR = 1.01; 95% CI: 0.99-1.01; P < .05), and higher levels of ambient air pollution (OR = 1.05; 95% CI: 1.01-1.10; P < .001) associate with greater odds of asthma exacerbation. The interplay between community characteristics and asthma management during childhood is complex, and place-based initiatives are needed to narrow the gap in asthma exacerbation.

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.

Caregivers' and providers' perspectives of social and medical care after pediatric liver transplant: Results from the multicenter SOCIAL-Tx study

Disparities exist in pediatric liver transplant (LT). We characterized barriers and facilitators to providing transplant and social care within pediatric LT clinics. This was a multicenter qualitative study. We oversampled caregivers reporting household financial strain, material economic hardship, or demonstrating poor health literacy. We also enrolled transplant team members. We conducted semistructured interviews with participants. Caregiver interviews focused on challenges addressing transplant and household needs. Transplant provider interviews focused on barriers and facilitators to providing social care within transplant teams. Interviews were recorded, transcribed, and coded according to the Capability, Opportunity, Motivation-Behavior model. We interviewed 27 caregivers and 27 transplant team members. Fifty-two percent of caregivers reported a household income <$60,000, and 62% reported financial resource strain. Caregivers reported experiencing (1) high financial burdens after LT, (2) added caregiving labor that compounds the financial burden, (3) dependency on their social network's generosity for financial and logistical support, and (4) additional support being limited to the perioperative period. Transplant providers reported (1) relying on the pretransplant psychosocial assessment for identifying social risks, (2) discomfort initiating social risk discussions in the post-transplant period, (3) reliance on social workers to address new social risks, and (4) social workers feeling overburdened by quantity and quality of the social work referrals. We identified barriers to providing effective social care in pediatric LT, primarily a lack of comfort in assessing and addressing new social risks in the post-transplant period. Addressing these barriers should enhance social care delivery and improve outcomes for these children.

Socioeconomic status, diet, and recurrent severe asthma exacerbations in Puerto Rican youth

Background

Why Puerto Rican youths have higher rates of severe asthma exacerbations (SAEs) than their non-Hispanic White peers is unclear.

Objective

We aimed to identify risk factors associated with recurrent SAEs in Puerto Rican youths with asthma.

Methods

We performed cross-sectional and longitudinal analyses of recurrent SAEs in 209 Puerto Rican youths with asthma who participated in 2 cross-sectional studies approximately 5.2 years apart: the Puerto Rico Genetics of Asthma and Lifestyle study (visit 1, participants aged 6-14 years) and the Epigenetic Variation and Childhood Asthma in Puerto Ricans study (visit 2, participants aged 9-20 years). Recurrent SAEs were defined as at least 2 SAEs in the previous year.

Results

Of the youths in our study, there were 80 (38.3%) and 47 (22.4%) with recurrent SAEs at visit 1 and visit 2, respectively, and 31 participants (14.8%) had persistent recurrent SAEs (ie, recurrent SAEs at both visits). In multivariable analyses, low household income was significantly associated with 2.4 to 12.3 times increased odds of recurrent SAEs in all analyses, with stronger longitudinal associations. Low parental education level, nonprivate or employer-based health insurance, overweight or obesity, residential proximity to a major road, and low or moderate level of outdoor activity were each significantly associated with recurrent SAEs in at least 1 analysis. Further, persistence of low parental numeracy level, low household income, and an unhealthy diet were each associated with persistent recurrent SAEs.

Conclusion

In this study of Puerto Rican youths with asthma, persistence of low parental numeracy level, a low household income, and an unhealthy diet were associated with persistent recurrent SAEs. Our findings support policies promoting equity and healthy lifestyles for Puerto Rican children and their families.

Causal Mediation of Neighborhood-Level Pediatric Hospitalization Inequities

BACKGROUND AND OBJECTIVES

Population-wide racial inequities in child health outcomes are well documented. Less is known about causal pathways linking inequities and social, economic, and environmental exposures. Here, we sought to estimate the total inequities in population-level hospitalization rates and determine how much is mediated by place-based exposures and community characteristics.

METHODS

We employed a population-wide, neighborhood-level study that included youth <18 years hospitalized between July 1, 2016 and June 30, 2022. We defined a causal directed acyclic graph a priori to estimate the mediating pathways by which marginalized population composition causes census tract-level hospitalization rates. We used negative binomial regression models to estimate hospitalization rate inequities and how much of these inequities were mediated indirectly through place-based social, economic, and environmental exposures.

RESULTS

We analyzed 50 719 hospitalizations experienced by 28 390 patients. We calculated census tract-level hospitalization rates per 1000 children, which ranged from 10.9 to 143.0 (median 45.1; interquartile range 34.5 to 60.1) across included tracts. For every 10% increase in the marginalized population, the tract-level hospitalization rate increased by 6.2% (95% confidence interval: 4.5 to 8.0). After adjustment for tract-level community material deprivation, crime risk, English usage, housing tenure, family composition, hospital access, greenspace, traffic-related air pollution, and housing conditions, no inequity remained (0.2%, 95% confidence interval: -2.2 to 2.7). Results differed when considering subsets of asthma, type 1 diabetes, sickle cell anemia, and psychiatric disorders.

CONCLUSIONS

Our findings provide additional evidence supporting structural racism as a significant root cause of inequities in child health outcomes, including outcomes at the population level.

Building a regional pediatric asthma learning health system in support of optimal, equitable outcomes

Introduction

Asthma is characterized by preventable morbidity, cost, and inequity. We sought to build an Asthma Learning Health System (ALHS) to coordinate regional pediatric asthma improvement activities.

Methods

We generated quantitative and qualitative insights pertinent to a better, more equitable care delivery system. We used electronic health record data to calculate asthma hospitalization rates for youth in our region. We completed an "environmental scan" to catalog the breadth of asthma-related efforts occurring in our children's hospital and across the region. We supplemented the scan with group-level assessments and focus groups with parents, clinicians, and community partners. We used insights from this descriptive epidemiology to inform the definition of shared aims, drivers, measures, and prototype interventions.

Results

Greater Cincinnati's youth are hospitalized for asthma at a rate three times greater than the U.S. average. Black youth are hospitalized at a rate five times greater than non-Black youth. Certain neighborhoods bear the disproportionate burden of asthma morbidity. Across Cincinnati, there are many asthma-relevant activities that seek to confront this morbidity; however, efforts are largely disconnected. Qualitative insights highlighted the importance of cross-sector coordination, evidence-based acute and preventive care, healthy homes and neighborhoods, and accountability. These insights also led to a shared, regional aim: to equitably reduce asthma-related hospitalizations. Early interventions have included population-level pattern recognition, multidisciplinary asthma action huddles, and enhanced social needs screening and response.

Conclusion

Learning health system methods are uniquely suited to asthma's complexity. Our nascent ALHS provides a scaffold atop which we can pursue better, more equitable regional asthma outcomes.

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.

Racial differences in length of stay and readmission for asthma in the all of us research program

BACKGROUND

This study addresses the limited research on racial disparities in asthma hospitalization outcomes, specifically length of stay (LOS) and readmission, across the U.S.

METHODS

We analyzed in-patient and emergency department visits from the All of Us Research Program, identifying various risk factors (demographic, comorbid, temporal, and place-based) associated with asthma LOS and 30-day readmission using Bayesian mixed-effects models.

RESULTS

Of 17,233 patients (48.0% White, 30.7% Black, 19.7% Hispanic/Latino, 1.3% Asian, and 0.3% Middle Eastern and North African) with 82,188 asthma visits, Black participants had 20% shorter LOS and 12% higher odds of readmission, compared to White participants in multivariate analyses. Public-insured patients had 14% longer LOS and 39% higher readmission odds than commercially insured patients. Weekend admissions resulted in a 12% shorter LOS but 10% higher readmission odds. Asthmatics with chronic diseases had a longer LOS (range: 6-39%) and higher readmission odds (range: 9-32%) except for those with allergic rhinitis, who had a 23% shorter LOS.

CONCLUSIONS

A comprehensive understanding of the factors influencing asthma hospitalization, in conjunction with diverse datasets and clinical-community partnerships, can help physicians and policymakers to systematically address racial disparities, healthcare utilization and equitable outcomes in asthma care.

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.

Caregiver Language Preference and Health Care Utilization Among Children With Asthma

BACKGROUND AND OBJECTIVES

Asthma is a leading cause of health care utilization in children and disproportionately affects historically marginalized populations. Yet, limited data exist on the role of caregiver language preference on asthma morbidity. The study aim was to determine whether caregiver non-English language preference (NELP) is associated with unscheduled asthma-related health care utilization in pediatric patients.

METHODS

This was a retrospective cohort study using data from a population-level, disease-specific registry of pediatric patients with asthma living in the District of Columbia (DC). Patients aged 2 to 17 years were included and the study period was 2019. The primary exposure variable was language preference: English preferred (EP) or NELP by self-identified language preference. The primary outcome was unscheduled asthma-related health care utilization including emergency department visits, hospitalizations (ICU and non-ICU), and ICU visits alone. Logistic regression was used to calculate adjusted odds ratios (aORs).

RESULTS

Of the 14 431 patients included, 8.1% had NELP (1172 patients). In analyses adjusted for age, sex, ethnicity, insurance status, diagnosis of persistent asthma, controller prescription, and encounter with a primary care provider, caregiver NELP was associated with an increased odds of having an asthma-related emergency department visit (aOR, 1.37; 95% CI, 1.08-1.74), hospitalization (aOR, 1.79; 95% CI, 1.18-2.72), and ICU visit (aOR, 4.37; 95% CI, 1.93-9.92). In the Hispanic subgroup (n = 1555), caregiver NELP was associated with an increased odds of having an asthma-related hospitalization (aOR, 1.73; 95% CI, 1.02-2.93).

CONCLUSIONS

In the population of children in the District of Columbia with asthma, caregiver NELP was associated with increased odds of asthma-related health care utilization, suggesting that caregiver language preference is a significant determinant of asthma outcomes.

Epidemiology of pediatric hospitalizations at general hospitals and freestanding children's hospitals in the United States: 2019 update

BACKGROUND

General hospitals (GH) provide inpatient care for the majority of hospitalized children in the United States, yet the majority of hospital pediatrics research is conducted at freestanding children's hospitals.

OBJECTIVE

Updating a prior 2012 analysis, this study used 2019 data to describe characteristics of pediatric hospitalizations at general and freestanding hospitals in the United States and identify the most common and costly reasons for hospitalization in these settings.

DESIGNS, SETTING, AND PARTICIPANTS

This study examined hospitalizations in children <18 years using the Healthcare Cost and Utilization Project's 2019 Kids' Inpatient Database, stratifying neonatal and nonneonatal hospital stays.

INTERVENTION

Not applicable.

MAIN OUTCOME AND MEASURES

Sociodemographic and clinical differences between hospitalizations at general and freestanding children's hospitals were examined, applying survey weights to generate national estimates.

RESULTS

There were an estimated 5,263,218 pediatric hospitalizations in 2019, including 3,757,601 neonatal and 1,505,617 nonneonatal hospital stays. Overall, 88.6% (n = 4,661,288) of hospitalizations occurred at GH, including 97.6% of neonatal hospitalizations and 65.9% of nonneonatal hospitalizations. 11.4% (n = 601,930) of hospitalizations occurred at freestanding children's hospitals, including 2.4% (n = 88,313) of neonatal hospitalizations and 34.1% (n = 513,616) of nonneonatal hospitalizations. In total, 98.9% of complicated birth hospitalizations and 66.0% of neonatal nonbirth hospitalizations occurred at GH. Among nonneonatal stays, 85.2% of mental health hospitalizations, 63.5% of medical hospitalizations, and 61.3% of surgical hospitalizations occurred at GH.

Garnering effective telehealth to help optimize multidisciplinary team engagement (GET2HOME) for children with medical complexity: Protocol for a pragmatic randomized control trial

BACKGROUND

Children and young adults with medical complexity (CMC) experience high rates of healthcare reutilization following hospital discharge. Prior studies have identified common hospital-to-home transition failures that may increase the risk for reutilization, including medication, technology and equipment issues, financial concerns, and confusion about which providers can help with posthospitalization needs. Few interventions have been developed and evaluated for CMC during this transition period.

OBJECTIVE

We will compare the effectiveness of the garnering effective telehealth 2 help optimize multidisciplinary team engagement (GET2HOME) transition bundle intervention to the standard hospital-based care coordination discharge process by assessing healthcare reutilization and patient- and family-centered outcomes.

DESIGNS, SETTINGS, AND PARTICIPANTS

We will conduct a pragmatic 2-arm randomized controlled trial (RCT) comparing the GET2HOME bundle intervention to the standard hospital-based care discharge process on CMC hospitalized and discharged from hospital medicine at two sites of our pediatric medical center between November 2022 and February 2025. CMC of any age will be identified as having complex chronic disease using the Pediatric Medical Complexity Algorithm tool. We will exclude CMC who live independently, live in skilled nursing facilities, are in custody of the county, or are hospitalized for suicidal ideation or end-of-life care.

INTERVENTION

We will randomize participants to the bundle intervention or standard hospital-based care coordination discharge process. The bundle intervention includes (1) predischarge telehealth huddle with inpatient providers, outpatient providers, patients, and their families; (2) care management discharge task tracker; and (3) postdischarge telehealth huddle with similar participants within 7 days of discharge. As part of the pragmatic design, families will choose if they want to complete the postdischarge huddle. The standard hospital-based discharge process includes a pharmacist, social worker, and care management support when consulted by the inpatient team but does not include huddles between providers and families.

MAIN OUTCOME AND MEASURES

Primary outcome will be 30-day urgent healthcare reutilization (unplanned readmission, emergency department, and urgent care visits). Secondary outcomes include 7-day urgent healthcare reutilization, patient- and family-reported transition quality, quality of life, and time to return to baseline using electronic health record and surveys at 7, 30, 60, and 90 days following discharge. We will also evaluate heterogeneity of treatment effect for the intervention across levels of financial strain and for CMC with high-intensity neurologic impairment. The primary analysis will follow the intention-to-treat principle with logistic regression used to study reutilization outcomes and generalized linear mixed modeling to study repeated measures of patient- and family-reported outcomes over time.

RESULTS

This pragmatic RCT is designed to evaluate the effectiveness of enhanced discharge transition support, including telehealth huddles and a care management discharge tool, for CMC and their families. Enrollment began in November 2022 and is projected to complete in February 2025. Primary analysis completion is anticipated in July 2025 with reporting of results following.

Cross-sectional Associations of Multiracial Identity with Self-Reported Asthma and Poor Health Among American Indian and Alaska Native Adults

INTRODUCTION

American Indian and Alaska Native (AI/AN) multiracial subgroups are underrecognized in health outcomes research.

METHODS

We performed a cross-sectional analysis of Behavioral Risk Factor Surveillance System surveys (2013-2019), including adults who self-identified as AI/AN only (single race AI/AN, n = 60,413) or as AI/AN and at least one other race (multiracial AI/AN, (n = 6056)). We used log binomial regression to estimate the survey-weighted prevalence ratios (PR) and 95% confidence intervals (CI) of lifetime asthma, current asthma, and poor self-reported health among multiracial AI/AN adults compared to single race AI/AN adults, adjusting for age, obesity, and smoking status. We then examined whether associations differed by sex and by Latinx identity.

RESULTS

Lifetime asthma, current asthma, and poor health were reported by 25%, 18%, and 30% of multiracial AI/AN adults and 18%, 12%, and 28% single race AI/AN adults. Multiracial AI/AN was associated with a higher prevalence of lifetime (PR 1.30, 95% CI 1.18-1.43) and current asthma (PR 1.36, 95% CI 1.21-1.54), but not poor health. Associations did not differ by sex. The association of multiracial identity with current asthma was stronger among AI/AN adults who identified as Latinx (PR 1.77, 95% CI 1.08-2.94) than non-Latinx AI/AN (PR 1.18, 95% CI 1.04-1.33), p-value for interaction 0.03.

CONCLUSIONS

Multiracial AI/AN adults experience a higher prevalence of lifetime and current asthma compared to single race AI/AN adults. The association between multiracial identity and current asthma is stronger among AI/AN Latinx individuals. The mechanisms for these findings remain under-explored and merit further study.

Pediatric Hospitalizations at Rural and Urban Teaching and Nonteaching Hospitals in the US, 2009-2019

Importance

National analyses suggest that approximately 1 in 5 US hospitals closed their pediatric units between 2008 and 2018. The extent to which pediatric hospitalizations at general hospitals in rural and urban communities decreased during this period is not well understood.

Objective

To describe changes in the number and proportion of pediatric hospitalizations and costs at urban teaching, urban nonteaching, and rural hospitals vs freestanding children's hospitals from 2009 to 2019; to estimate the number and proportion of hospitals providing inpatient pediatric care; and to characterize changes in clinical complexity.

Design, Setting, and Participants

This study is a retrospective cross-sectional analysis of the 2009, 2012, 2016, and 2019 Kids' Inpatient Database, a nationally representative data set of US pediatric hospitalizations among children younger than 18 years. Data were analyzed from February to June 2023.

Exposures

Pediatric hospitalizations were grouped as birth or nonbirth hospitalizations. Hospitals were categorized as freestanding children's hospitals or as rural, urban nonteaching, or urban teaching general hospitals.

Main Outcomes and Measures

The primary outcomes were annual number and proportion of birth and nonbirth hospitalizations and health care costs, changes in the proportion of hospitalizations with complex diagnoses, and estimated number and proportion of hospitals providing pediatric care and associated hospital volumes. Regression analyses were used to compare health care utilization in 2019 vs that in 2009.

Results

The data included 23.2 million (95% CI, 22.7-23.6 million) weighted hospitalizations. From 2009 to 2019, estimated national annual pediatric hospitalizations decreased from 6 425 858 to 5 297 882, as birth hospitalizations decreased by 10.6% (95% CI, 6.1%-15.1%) and nonbirth hospitalizations decreased by 28.9% (95% CI, 21.3%-36.5%). Concurrently, hospitalizations with complex chronic disease diagnoses increased by 45.5% (95% CI, 34.6%-56.4%), and hospitalizations with mental health diagnoses increased by 78.0% (95% CI, 61.6%-94.4%). During this period, the most substantial decreases were in nonbirth hospitalizations at rural hospitals (4-fold decrease from 229 263 to 62 729) and urban nonteaching hospitals (6-fold decrease from 581 320 to 92 118). In 2019, birth hospitalizations occurred at 2666 hospitals. Nonbirth pediatric hospitalizations occurred at 3507 hospitals, including 1256 rural hospitals and 843 urban nonteaching hospitals where the median nonbirth hospitalization volumes were fewer than 25 per year.

Conclusions and Relevance

Between 2009 and 2019, the largest decreases in pediatric hospitalizations occurred at rural and urban nonteaching hospitals. Clinical and policy initiatives to support hospitals with low pediatric volumes may be needed to maintain hospital access and pediatric readiness, particularly in rural communities.

Readmission Rates After Acute Respiratory Distress Syndrome in Children

Importance

An increasing number of children survive after acute respiratory distress syndrome (ARDS). The long-term morbidity affecting these survivors, including the burden of hospital readmission and key factors associated with readmission, is unknown.

Objective

To determine 1-year readmission rates among survivors of pediatric ARDS and to investigate the associations of 3 key index hospitalization factors (presence or development of a complex chronic condition, receipt of a tracheostomy, and hospital length of stay [LOS]) with readmission.

Design, Setting, and Participants

This retrospective cohort study used data from the commercial or Medicaid IBM MarketScan databases between 2013 and 2017, with follow-up data through 2018. Participants included hospitalized children (aged ≥28 days to <18 years) who received mechanical ventilation and had algorithm-identified ARDS. Data analysis was completed from March 2022 to March 2023.

Exposures

Complex chronic conditions (none, nonrespiratory, and respiratory), receipt of tracheostomy, and index hospital LOS.

Main Outcomes and Measures

The primary outcome was 1-year, all-cause hospital readmission. Univariable and multivariable Cox proportional hazard models were created to test the association of key hospitalization factors with readmission.

Results

One-year readmission occurred in 3748 of 13 505 children (median [IQR] age, 4 [0-14] years; 7869 boys [58.3%]) with mechanically ventilated ARDS who survived to hospital discharge. In survival analysis, the probability of 1-year readmission was 30.0% (95% CI, 29.0%-30.8%). One-half of readmissions occurred within 61 days of discharge (95% CI, 56-67 days). Both respiratory (adjusted hazard ratio [aHR], 2.69; 95% CI, 2.42-2.98) and nonrespiratory (aHR, 1.86; 95% CI, 1.71-2.03) complex chronic conditions were associated with 1-year readmission. Placement of a new tracheostomy (aHR, 1.98; 95% CI, 1.69-2.33) and LOS 14 days or longer (aHR, 1.87; 95% CI, 1.62-2.16) were associated with readmission. After exclusion of children with chronic conditions, LOS 14 days or longer continued to be associated with readmission (aHR, 1.92; 95% CI, 1.49-2.47).

Conclusions and Relevance

In this retrospective cohort study of children with ARDS who survived to discharge, important factors associated with readmission included the presence or development of chronic medical conditions during the index admission, tracheostomy placement during index admission, and index hospitalization of 14 days or longer. Future studies should evaluate whether postdischarge interventions (eg, telephonic contact, follow-up clinics, and home health care) may help reduce the readmission burden.

Asthma Quality Measurement and Adverse Outcomes in Medicaid-Enrolled Children

OBJECTIVES

To determine the association between the asthma medication ratio (AMR) quality measure and adverse outcomes among Medicaid-enrolled children with asthma in Arkansas, given concerns regarding the utility of the AMR in evaluating pediatric risk of asthma-related adverse events (AAEs).

METHODS

We used the Arkansas All-Payer Claims Database to identify Medicaid-enrolled children with asthma using a nonrestrictive case definition and additionally using the standard Healthcare Effectiveness Data and Information Set (HEDIS) persistent asthma definition. We assessed the AMR using the traditional dichotomous HEDIS AMR categorization and across 4 expanded AMR categories. Regression models assessed associations between AMR and AAE including hospitalization and emergency department utilization, with models conducted overall and by race and ethnicity.

RESULTS

Of the 22 788 children in the analysis, 9.0% had an AAE (6.7% asthma-related emergency department visits; 3.0% asthma-related hospitalizations). We found poor correlation between AMR and AAE, with higher rates of AAE (10.5%) among children with AMR ≥0.5 compared with AMR <0.5 (8.5%; P < .001), and similar patterns stratified by racial and ethnic subgroups. Expanded AMR categorization revealed notable differences in associations between AMR and AAEs, compared with traditional dichotomous categorization, with worse performance in Black children.

CONCLUSIONS

The AMR performed poorly in identifying risk of adverse outcomes among Medicaid-enrolled children with asthma. These findings underscore concerns of the utility of the AMR in population health management and reliance on restrictive HEDIS definitions. New population health frameworks incorporating broader considerations that accurately identify at-risk children are needed to improve equity in asthma management and outcomes.

Potential causal links between long-term ambient particulate matter exposure and cerebrovascular mortality: Insights from a large cohort in southern China

Cohort studies conducted in North America and Europe have linked cerebrovascular mortality to long-term exposure to particulate matter (PM). However, limited evidence from large cohorts in high-exposure areas and the traditional approach of association assessment may cause residual confounding issues. In this study, we aimed to investigate the causal links between cerebrovascular mortality and long-term exposure to PM_2.5, PM₁₀, and PM_2.5-10 in an ongoing cohort study with 580,757 participants in southern China. Using satellite-based estimates of PM concentration at a 1-km² spatial resolution, we assigned exposure levels to each participant and used the marginal structural Cox model to assess the association between PM exposure and cerebrovascular mortality while accounting for time-varying covariates. We also explored the potential modification effects of sociodemographic and behavioral factors on the PM-health associations. Adjusted hazard ratios (HR) for overall cerebrovascular mortality were 1.041 (95% confidence interval (CI): 1.034-1.049) and 1.032 (95% CI: 1.026-1.038) for each 1 μg/m³ increase in PM_2.5, and PM₁₀, respectively. Similar trends were observed in the mortality risk from stroke and ischemic stroke, with HRs ranging from 1.040 to 1.069 and 1.025 to 1.052, respectively, across 2 p.m. exposures. The impact of PM exposure was generally more apparent among women, participants with primary school diplomas and below, and the subgroup under low-exposure. Multiple sensitivity analyses confirmed the robustness of the results. In conclusion, this sizable prospective cohort study hypothesizes causal links between long-term PM exposure and cerebrovascular mortality, particularly among vulnerable participants, supporting the rationale for reducing PM concentration in China to reduce cerebrovascular mortality.

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.

Multilevel Analysis of Racial and Ethnic Disparities in COVID-19 Hospitalization among Children with Allergies

Rationale: Previous studies have identified risk factors for coronavirus disease (COVID-19) hospitalization in children. However, these studies have been limited in their ability to disentangle the contribution of racial disparities, allergic comorbidities, and environmental exposures to the development of severe COVID-19 in at-risk children with allergies. Objectives: To examine racial and ethnic disparities in COVID-19 hospitalization and their links to potentially underlying allergic comorbidities and individual and place-based factors in children with allergies. Methods: This is an electronic health record-based retrospective study of children in 2020. The outcome was COVID-19 hospitalization categorized as no hospital care for patients with asymptomatic/mild illness, short stay for patients admitted and discharged within 24 hours, and prolonged stay for patients requiring additional time to discharge (more than 24 h). Mixed-effects and mediation models were used to determine relationships among independent variables, mediators, and COVID-19 hospitalization. Results: Among the 5,258 children with COVID-19 positive test or diagnosis, 10% required a short stay, and 3.7% required a prolonged stay. Black and Hispanic children had higher odds of longer stays than non-Hispanic White children (both P < 0.001). Children with obesity and eosinophilic esophagitis diagnoses had higher odds of short and prolonged stay (all P < 0.05). Area-level deprivation was associated with short stay (adjusted odds ratio [AOR], 15.49; 95% confidence interval [CI], 5.16-45.47 for every 0.1-unit increase) and prolonged stay (AOR, 11.82; 95% CI, 2.25-62.01 for every 0.1-unit increase). Associations between race/ethnicity and COVID-19 hospitalization were primarily mediated by insurance and area-level deprivation, altogether accounting for 99% of the variation in COVID-19 hospitalization. Conclusions: There were racial and ethnic differences in children with allergies and individual and place-based factors related to COVID-19 hospitalization. Differences were primarily mediated by insurance and area-level deprivation, altogether accounting for 99% of the variation in COVID-19 hospitalization. A better understanding of COVID-related morbidity in children and the link to place-based factors is key to developing prevention strategies capable of equitably improving outcomes.

Factors associated with future hospitalization among children with asthma: a systematic review

OBJECTIVE

Asthma is a leading cause of emergency department (ED) visits and hospitalizations in children, though many could be prevented. Our study objective was to identify factors from the published literature that are associated with future hospitalization for asthma beyond 30 days following an initial asthma ED visit.

DATA SOURCES

We searched CINAHL, CENTRAL, MEDLINE, and Embase for all studies examining factors associated with asthma-related hospitalization in children from January 1, 1992 to February 7, 2022.Selecting Studies: All citations were reviewed independently by two reviewers and studies meeting inclusion criteria were assessed for risk of bias. Data on all reported variables were extracted from full text and categorized according to identified themes. Where possible, data were pooled for meta-analysis using random effects models.

RESULTS

Of 2262 studies, 68 met inclusion criteria. We identified 28 risk factors and categorized these into six themes. Factors independently associated with future hospitalization in meta-analysis include: exposure to environmental tobacco smoke (OR = 1.94 95%CI 0.67-5.61), pets exposure (OR = 1.67 95%CI 1.17-2.37), and previous asthma hospitalizations (OR = 3.47 95% CI 2.95-4.07). Additional related factors included previous acute care visits, comorbid health conditions (including atopy), allergen exposure, severe-persistent asthma phenotype, inhaled steroid use prior to ED visit, poor asthma control, higher severity symptoms at ED presentation, warmer season at admission, longer length of stay or ICU admission, and African-American race/ethnicity.

CONCLUSIONS

We identified multiple factors that are consistently associated with future asthma hospitalization in children and could be used to identify those who would benefit from targeted preventative interventions.

Association of County-degree Social Vulnerability with Chronic Respiratory Disease Mortality in the United States

Rationale: Chronic respiratory diseases, the third leading cause of death worldwide, have been associated with significant morbidity, mortality, and increased economic burden that make a profound impact on individuals and communities. However, limited research has delineated complex relationships between specific sociodemographic disparities and chronic respiratory disease outcomes among U.S. counties. Objectives: To assess the association of county-level sociodemographic vulnerabilities with chronic respiratory disease mortality in the United States. Methods: Chronic respiratory disease mortality data among U.S. counties for 2014-2018 was obtained from the CDC WONDER (Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research) database. The social vulnerability index (SVI), including subindices of socioeconomic status, household composition and disability, minority status and language, and housing type and transportation, is a composite, percentile-based measure developed by the CDC to evaluate county-level sociodemographic vulnerabilities to disasters. We examined county-level sociodemographic characteristics from the SVI and classified the percentile rank into quartiles, with a higher quartile indicating greater vulnerability. The associations between chronic respiratory disease mortality and overall SVI, its four subindices, and each county characteristic were analyzed by negative binomial regression. Results: From 2014 to 2018, the age-adjusted mortality per 1,000,000 population attributed to chronic lower respiratory disease was 406.4 (95% confidence interval [CI], 405.5-407.3); chronic obstructive pulmonary disease (COPD), 393.7 (392.8-394.6); asthma, 10.0 (9.9-10.2); interstitial lung disease (ILD), 50.5 (50.1-50.8); idiopathic pulmonary fibrosis (IPF), 37.0 (36.7-37.3); and sarcoidosis, 5.3 (5.2-5.4). Counties in the higher quartile of overall SVI were significantly associated with greater disease mortality (chronic lower respiratory disease, incidence rate ratios: fourth vs. first quartile, 1.43 [95% CI, 1.39-1.48]; COPD, 1.44 [1.39-1.49]; asthma, 2.06 [1.71-2.48]; ILD, 1.07 [1.02-1.13]; IPF, 1.14 [1.06-1.22]; sarcoidosis, 2.01 [1.44-2.81]). In addition, higher mortality was also found in counties in the higher quartile of each subindex and most sociodemographic characteristics. Conclusions: Chronic respiratory disease mortalities were significantly associated with county-level sociodemographic determinants as measured by the SVI in the United States. These findings suggested sociodemographic determinants may add a considerable barrier to establishing health equity. Multidegree public health strategies and clinical interventions addressing inequitable outcomes of chronic respiratory disease should be developed and targeted in areas with greater social vulnerability and disadvantage.

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.

Caregiver perspectives on the everyday medical and social needs of long-term pediatric liver transplant patients

Using in-depth interviews, we sought to characterize the everyday medical and social needs of pediatric liver transplant caregivers to inform the future design of solutions to improve care processes. Participants (parents/caregivers of pediatric liver transplant recipients) completed a survey (assessing socioeconomic status, economic hardship, health literacy, and social isolation). We then asked participants to undergo a 60-min virtual, semistructured qualitative interview to understand the everyday medical and social needs of the caregiver and their household. We intentionally oversampled caregivers who reported a social or economic hardship on the survey. Transcripts were analyzed using thematic analysis and organized around the Capability, Opportunity, Motivation-Behavior model. A total of 18 caregivers participated. Of the participants, 50% reported some form of financial strain, and about half had less than 4 years of college education. Caregivers had high motivation and capability in executing transplant-related tasks but identified several opportunities for improving care. Caregivers perceived the health system to lack capability in identifying and intervening on specific family social needs. Caregiver interviews revealed multiple areas in which family supports could be strengthened, including (1) managing indirect costs of prolonged hospitalizations (e.g., food, parking), (2) communicating with employers to support families' needs, (3) coordinating care across hospital departments, and (4) clarifying care team roles in helping families reduce both medical and social barriers. This study highlights the caregiver perspective on barriers and facilitators to posttransplant care. Future work should identify whether these themes are present across transplant centers. Caregiver perspectives should help inform future interventions aimed at improving long-term outcomes for children after liver transplantation.

Hospital-Level Neighborhood Opportunity and Rehospitalization for Common Diagnoses at US Children's Hospitals

OBJECTIVE

Neighborhood conditions influence child health outcomes, but data examining association between local factors and hospital utilization are lacking. We determined if hospitals' mix of patients by neighborhood opportunity correlates with rehospitalization for common diagnoses at US children's hospitals.

METHODS

We analyzed all discharges in 2018 for children ≤18 years at 47 children's hospitals for 14 common diagnoses. The exposure was hospital-level mean neighborhood opportunity - measured by Child Opportunity Index (COI) - for each diagnosis. The outcome was same-cause rehospitalization within 365 days. We measured association via Pearson correlation coefficient. For diagnoses with significant associations, we also examined shorter rehospitalization time windows and compared unadjusted and COI-adjusted rehospitalization rates.

RESULTS

There were 256,871 discharges included. Hospital-level COI ranged from 17th to 70th percentile nationally. Hospitals serving lower COI neighborhoods had more frequent rehospitalization for asthma (ρ -0.34 [95% confidence interval -0.57, -0.06]) and diabetes (ρ -0.33 [-0.56, -0.04]), but fewer primary mental health rehospitalizations (ρ 0.47 [0.21, 0.67]). There was no association for 11 other diagnoses. Secondary timepoint analysis revealed increasing correlation over time, with differences by diagnosis. Adjustment for hospital-level COI resulted in 26%, 32%, and 45% of hospitals changing >1 decile in rehospitalization rank order for diabetes, asthma, and mental health diagnoses, respectively.

CONCLUSIONS

Children's hospitals vary widely in their mix of neighborhoods served. Asthma, diabetes, and mental health rehospitalization rates correlate with COI, suggesting that neighborhood factors may influence outcome disparities for these conditions. Hospital outcomes may be affected by neighborhood opportunity, which has implications for benchmarking.

Contemporary Socioeconomic and Childhood Opportunity Disparities in Congenital Heart Surgery

BACKGROUND

While singular measures of socioeconomic status have been associated with outcomes after surgery for congenital heart disease, the multifaceted pathways through which a child's environment impacts similar outcomes remain incompletely characterized. We sought to evaluate the association between childhood opportunity level and adverse outcomes after congenital heart surgery.

METHODS

Data from patients undergoing congenital cardiac surgery from January 2011 to January 2020 at a quaternary referral center were retrospectively reviewed. Outcomes of interest included predischarge (early) mortality or transplant, postoperative hospital length-of-stay, inpatient cost of hospitalization, postdischarge (late) mortality or transplant, and late unplanned reintervention. The primary predictor was a US census tract-based, nationally-normed composite metric of contemporary child neighborhood opportunity comprising 29 indicators across 3 domains (education, health and environment, and socioeconomic), categorized as very low, low, moderate, high, and very high. Associations between childhood opportunity level and outcomes were evaluated using logistic regression (early mortality), generalized linear (length-of-stay and cost), Cox proportional hazards (late mortality), or competing risk (late reintervention) models, adjusting for baseline patient-related factors, case complexity, and residual lesion severity.

RESULTS

Of 6133 patients meeting entry criteria, the median age was 2.0 years (interquartile range, 3.6 months-8.3 years). There were 124 (2.0%) early deaths or transplants, the median postoperative length-of-stay was 7 days (interquartile range, 5-13 days), and the median inpatient cost was $76 000 (interquartile range, $50 000-130 000). No significant association between childhood opportunity level and early mortality or transplant was observed (P=0.21). On multivariable analysis, children with very low and low opportunity had significantly longer length-of-stay and incurred higher costs compared with those with very high opportunity (all P<0.05). Of 6009 transplant-free survivors of hospital discharge, there were 175 (2.9%) late deaths or transplants, and 1008 (16.8%) reinterventions at up to 10.5 years of follow-up. Patients with very low opportunity had a significantly greater adjusted risk of late death or transplant (hazard ratio, 1.7 [95% CI, 1.1-2.6]; P=0.030) and reintervention (subdistribution hazard ratio, 1.9 [95% CI, 1.5-2.3]; P<0.001), versus those with very high opportunity.

CONCLUSIONS

Childhood opportunity level is independently associated with adverse outcomes after congenital heart surgery. Children from resource-limited settings thus constitute an especially high-risk cohort that warrants closer surveillance and tailored interventions.

Social Determinants of Health and At-Risk Rates for Pediatric Asthma Morbidity

BACKGROUND AND OBJECTIVES

Compared with population-based rates, at-risk rates (ARRs) account for underlying variations of asthma prevalence. When applied with geospatial analysis, ARRs may facilitate more accurate evaluations of the contribution of place-based social determinants of health (SDOH) to pediatric asthma morbidity. Our objectives were to calculate ARRs for pediatric asthma-related emergency department (ED) encounters and hospitalizations by census-tract in Washington, the District of Columbia (DC) and evaluate their associations with SDOH.

METHODS

This population-based, cross-sectional study identified children with asthma, 2 to 17 years old, living in DC, and included in the DC Pediatric Asthma Registry from January 2018 to December 2019. ED encounter and hospitalization ARRs (outcomes) were calculated for each DC census-tract. Five census-tract variables (exposures) were selected by using the Healthy People 2030 SDOH framework: educational attainment, vacant housing, violent crime, limited English proficiency, and families living in poverty.

RESULTS

During the study period, 4321 children had 7515 ED encounters; 1182 children had 1588 hospitalizations. ARRs varied 10-fold across census-tracts for both ED encounters (64-728 per 1000 children with asthma) and hospitalizations (20-240 per 1000 children with asthma). In adjusted analyses, decreased educational attainment was significantly associated with ARRs for ED encounters (estimate 12.1, 95% confidence interval [CI] 8.4 to 15.8, P <.001) and hospitalizations (estimate 1.2, 95% CI 0.2 to 2.2, P = .016). Violent crime was significantly associated with ARRs for ED encounters (estimate 35.3, 95% CI 10.2 to 60.4, P = .006).

CONCLUSION

Place-based interventions addressing SDOH may be an opportunity to reduce asthma morbidity among children with asthma.

Providing a Safe Nest for Improved Health Care Outcomes in Pregnant Women With Asthma

There is a large unmet disease burden arising from asthma in pregnancy. Pregnant women affected by moderate to severe asthma have an increased risk for adverse perinatal outcomes. This can be worsened by social determinants of health, which are social and environmental conditions that affect health and the quality of life. Here we present the case of a medically complex pregnant woman with worsening asthma and challenges in optimizing positive outcomes for both the mother and baby during the perinatal period. This case captures several elements of social determinants of health that affect health outcomes most notably in non-White patients, including chronic exposure to air pollution contributing to asthma severity and reduced access to health care specialists.

The Effect of Outdoor Environmental Exposure on Readmission Rates for Children and Adolescents with Asthma-A Systematic Review

The burden of asthma readmission for children and adolescents is approximately 10% worldwide. Research has been synthesised for behavioural and indoor impacts; however, no such synthesis has been conducted for outdoor environmental exposures. This systematic review aims to evaluate and synthesise the impact the outdoor environment has on readmission rates for children or adolescents with asthma. We conducted a systematic search of seven databases and hand searched reference lists of articles published up until 18 January 2021. There were 12 out of 392 studies eligible for inclusion. Overall, most studies showed that outdoor environments impact on readmission; however, the strength of association is seen to be stronger in a particular subpopulation of each study depending on the exposure investigated. The evidence for the association between outdoor environmental exposure and readmission rates for children or adolescents with asthma is increasing; however, it is complicated by potential confounders such as socioeconomic factors, ethnicity, indoor air pollutants, and other behavioural factors. Further research is required to differentiate between them. Additionally, further studies need to be undertaken in further countries other than the United States of America to understand the full relationship.

Comprehensive In-Patient Education Consult for Asthma Exacerbations

BACKGROUND

Asthma is the most common chronic disease leading to hospital admissions and readmissions in childhood. Bedside nurses and respiratory therapists are the primary asthma educators, but they may lack time or knowledge to provide comprehensive asthma education and identify barriers to care. Patients and their parent(s) may benefit from comprehensive education and assessment of barriers from a certified asthma educator.

METHODS

A team of certified asthma educators used a quality improvement method to create an in-patient asthma education consulting service. The in-patient pulmonary consult and medical teams referred subjects ≥ 1 y in age with a new or existing diagnosis of asthma who had been admitted to the ICU or identified as having concerns for poor medication adherence to the asthma consult. The asthma consult provided face-to-face education with the subject and parent(s), addressed barriers to the plan of care, and helped facilitate appointments to an asthma specialist after discharge.

RESULTS

There were 126 subjects eligible for the asthma consult pilot implemented October 1, 2018-April 30, 2020. The asthma consult saw 52 subjects. Subjects who received consults had a higher rate of previous health care utilization and existing specialist for asthma. After the in-patient stay, the odds of returning to the emergency department/urgent care (UC) or hospital within the following 12 months did not differ between asthma consult and control group. However, after adjusting for covariates of age, race, ethnicity, previous health care utilization, and existing specialist, there was a significant difference in the odds of readmission and revisits (adjusted odds ratio 0.39 [95% CI 0.16-0.98], P = .04) for the asthma consult group compared to the control group.

CONCLUSIONS

Providing comprehensive, face-to-face asthma education and working with subjects and their parent(s) to address barriers to medication adherence and facilitate specialty follow-up post discharge decreased health care utilization.

Social Vulnerability Is Associated with Poorer Outcomes in Preschool Children With Recurrent Wheezing Despite Standardized and Supervised Medical Care

BACKGROUND

Social determinants of health are associated with disparate asthma outcomes in school-age children. Social determinants have not been studied in preschool children with recurrent wheezing.

OBJECTIVE

We hypothesized that preschool children with recurrent wheezing at highest risk of social vulnerability would have more frequent symptoms and exacerbations when followed over 1 year, despite receiving standardized and supervised asthma care.

METHODS

A multicenter population of adherent preschool children receiving standardized and supervised care for wheezing was stratified by a composite measure of social vulnerability based on individual-level variables. Primary outcomes included days with upper respiratory infections and days with asthma symptom flares. Other outcomes included symptom scores during upper respiratory infections and respiratory symptom flare days, exacerbation occurrence, quality of life during the exacerbation, and hospitalization.

RESULTS

Preschool children at highest risk of social vulnerability did not have more frequent upper respiratory infections, respiratory symptoms, or exacerbations, but instead had more severe symptoms during upper respiratory infections and respiratory flare days, as well as more severe exacerbations with significantly poorer caregiver quality of life. Children at highest risk of social vulnerability also lived in poorer housing conditions with differing exposures and self-reported triggers.

CONCLUSIONS

Individual-level social determinants of health reflecting social vulnerability are associated with poorer outcomes in preschool children with recurrent wheezing despite access to supervised and standardized care. Comprehensive assessment of social determinants of health is warranted in even the youngest children with wheezing, because mitigation of these social inequities is an essential first step toward improving outcomes in pediatric patients.

Reductions In Hospitalizations Among Children Referred To A Primary Care-Based Medical-Legal Partnership

Medical-legal partnerships integrate legal advocates into health care settings to address health-related social needs. However, their effect on health outcomes is unclear. This retrospective cohort study examined the effect of referral to a medical-legal partnership on hospitalization rates among urban, low-income children in Greater Cincinnati, Ohio, between 2012 and 2017. We compared 2,203 children referred to a pediatric primary care-based medical-legal partnership with 100 randomly selected control cohorts drawn from 34,235 children seen concurrently but not referred. We found that the median predicted hospitalization rate for children in the year after referral was 37.9 percent lower if children received the legal intervention than if they did not. We suspect that this decrease in hospitalizations was driven by the ability of legal advocates to address acute legal needs (for example, threat of eviction and public benefit denial) and, when possible, to confront root causes of ill health (for example, unhealthy housing conditions). Interventions such as those provided through a medical-legal partnership may be important components of integrated, value-based service delivery models.

Racial and Ethnic Disparities in Acute Care Use for Pediatric Asthma

PURPOSE

Previous work has shown that asthma-related emergency department (ED) use is greatest among Black and Latine populations, but it is unknown whether health care use for exacerbations differs across settings (outpatient, ED, inpatient) and correlates with use of routine outpatient services. We aimed to measure disparities by race, ethnicity, and language in pediatric acute asthma care using data from US primary care community health centers.

METHODS

In an observational study using electronic health records from community health centers in 18 states, we compared non-Hispanic Black, English-preferring Latine, Spanish-preferring Latine, and non-Hispanic White children aged 3 to 17 years on visits for clinic-coded asthma exacerbations (2012-2018). We further evaluated asthma-related ED use and inpatient admissions in a subsample of Oregon-Medicaid recipients. Covariate-adjusted odds ratios (ORs) and rate ratios (RRs) were derived using logistic or negative binomial regression analysis with generalized estimating equations.

RESULTS

Among 41,276 children with asthma, Spanish-preferring Latine children had higher odds of clinic visits for asthma exacerbation than non-Hispanic White peers (OR = 1.10; 95% CI, 1.02-1.18). Among the subsample of 6,555 children insured under Oregon-Medicaid, non-Hispanic Black children had higher odds and rates of asthma-related ED use than non-Hispanic White peers (OR = 1.40; 95% CI, 1.04-1.89 and RR = 1.49; 95% CI, 1.09-2.04, respectively). We observed no differences between groups in asthma-related inpatient admissions.

CONCLUSIONS

This study is the first to show that patterns of clinic and ED acute-care use differ for non-Hispanic Black and Spanish-preferring Latine children when compared with non-Hispanic White peers. Non-Hispanic Black children had lower use of clinics, whereas Spanish-preferring Latine children had higher use, including for acute exacerbations. These patterns of clinic use were accompanied by higher ED use among Black children. Ensuring adequate care in clinics may be important in mitigating disparities in asthma outcomes.VISUAL ABSTRACT.

The Association of the Childhood Opportunity Index on Pediatric Readmissions and Emergency Department Revisits

OBJECTIVE

Reutilization following discharge is costly to families and the health care system. Singular measures of the social determinants of health (SDOH) have been shown to impact utilization; however, the SDOH are multifactorial. The Childhood Opportunity Index (COI) is a validated approach for comprehensive estimation of the SDOH. Using the COI, we aimed to describe the association between SDOH and 30-day revisit rates.

METHODS

This retrospective study included children 0 to 17 years within 48 children's hospitals using the Pediatric Health Information System from 1/1/2019 to 12/31/2019. The main exposure was a child's ZIP code level COI. The primary outcome was unplanned readmissions and emergency department (ED) revisits within 30 days of discharge. Primary outcomes were summarized by COI category and compared using chi-square or Kruskal-Wallis tests. Adjusted analysis used generalized linear mixed effects models with adjustments for demographics, clinical characteristics, and hospital clustering.

RESULTS

Of 728,997 hospitalizations meeting inclusion criteria, 30-day unplanned returns occurred for 96,007 children (13.2%). After adjustment, the patterns of returns were significantly associated with COI. For example, 30-day returns occurred for 19.1% (95% confidence interval [CI]: 18.2, 20.0) of children living within very low opportunity areas, with a gradient-like decrease as opportunity increased (15.5%, 95% CI: 14.5, 16.5 for very high). The relative decrease in utilization as COI increased was more pronounced for ED revisits.

CONCLUSIONS

Children living in low opportunity areas had greater 30-day readmissions and ED revisits. Our results suggest that a broader approach, including policy and system-level change, is needed to effectively reduce readmissions and ED revisits.

Comparing Artificial Intelligence and Traditional Methods to Identify Factors Associated With Pediatric Asthma Readmission

OBJECTIVE

To identify and contrast risk factors for six-month pediatric asthma readmissions using traditional models (Cox proportional-hazards and logistic regression) and artificial neural-network modeling.

METHODS

This retrospective cohort study of the 2013 Nationwide Readmissions Database included children 5 to 18 years old with a primary diagnosis of asthma. The primary outcome was time to asthma readmission in the Cox model, and readmission within 180 days in logistic regression. A basic neural network construction with 2 hidden layers and multiple replications considered all dataset variables and potential variable interactions to predict 180-day readmissions. Logistic regression and neural-network models were compared on area-under-the receiver-operating curve.

RESULTS

Of 18,489 pediatric asthma hospitalizations, 1858 were readmitted within 180 days. In Cox and logistic models, longer index length of stay, public insurance, and nonwinter index admission seasons were associated with readmission risk, whereas micropolitan county was protective. In neural-network modeling, 9 factors were significantly associated with readmissions. Four overlapped with the Cox model (nonwinter-month admission, long length of stay, public insurance, and micropolitan hospitals), whereas 5 were unique (age, hospital bed number, teaching-hospital status, weekend index admission, and complex chronic conditions). The area under the curve was 0.592 for logistic regression and 0.637 for the neural network.

CONCLUSIONS

Different methods can produce different readmission models. Relying on traditional modeling alone overlooks key readmission risk factors and complex factor interactions identified by neural networks.

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

BACKGROUND

Social determinants of health are associated with asthma prevalence and healthcare use in children with asthma, but are multifactorial and complex. Whether social determinants similarly influence exacerbation severity is not clear.

OBJECTIVE

Composite measures of social determinants of health and readmission outcomes were evaluated in a large regional cohort of 1,403 school-age children admitted to a pediatric intensive care unit (PICU) for asthma.

METHODS

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, where PICU admission rates per 1,000 children are at or above the 90th percentile, versus non-hot spots.

RESULTS

A total of 228 children resided within a neighborhood hot spot (16%). Hot spots were associated with a higher (ie, poorer) 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 (ie, poorer) 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 associated with PICU readmission. Residing within a hot spot was further associated with a longer duration of hospital stay, individual inpatient bed days, and total census tract inpatient bed days.

CONCLUSIONS

Social determinants of health identified by geospatial analyses are associated with more severe asthma exacerbation outcomes in children. Outpatient strategies that address both biological and social determinants of health are needed to care for and prevent PICU admissions optimally in children with asthma.

The impact of environmental injustice and social determinants of health on the role of air pollution in asthma and allergic disease in the United States

There is clear evidence that exposure to environmental air pollution is associated with immune dysregulation, asthma, and other allergic diseases. However, the burden of air pollution exposure is not equally distributed across the United States. Many social and environmental factors place communities of color and people who are in poverty at increased risk of exposure to pollution and morbidity from asthma and allergies. Here, we review the evidence that supports the relationship between air pollution and asthma, while considering the social determinants of health that contribute to disparities in exposures and outcomes.