Inequalities in neighborhood child asthma admission rates and underlying community characteristics in one US county

The Telehealth Education for Asthma Connecting Hospital and Home (TEACHH) pilot study

OBJECTIVE

To evaluate the feasibility of a novel intervention of health literacy-informed, telemedicine-enhanced asthma education and home management support for hospitalized children and caregivers, and assess caregiver perspectives of the intervention.

METHODS

We conducted a pilot randomized trial of the Telehealth Education for Asthma Connecting Hospital and Home (TEACHH) intervention vs. standardized care (SC) for children (5-13 yrs) hospitalized with asthma. Participants in TEACHH received health literacy-informed teaching prior to discharge, including pictorial materials (e.g. flipchart, action plan), color- and shape-coded medication labels, and medication demonstration. Two Zoom-based follow-up teaching visits were completed within 1-month of discharge. Feasibility was assessed by tracking visit completion, and we measured preliminary outcomes using health records (i.e. total asthma-related acute healthcare visits) and blinded surveys of caregivers 2-, 4-, and 6-months post-discharge (i.e. symptom-free days, quality of life). We interviewed caregivers about their perceptions of TEACHH. Transcripts were coded inductively.

RESULTS

We enrolled 26 children and interviewed 14 caregivers (9 TEACHH, 5 SC). All inpatient sessions were completed, as were 77% of virtual visits. Both groups experienced improved symptoms and quality of life over time. Caregivers valued the teaching, involvement of children, visual tools, and color-coded information of TEACHH. They described child-specific benefits, greater support after discharge, and improved asthma-related communication, and indicated that other families would benefit from similar teaching.

CONCLUSIONS

A novel program of patient-centered asthma education was feasible in both hospital and home settings and well received by caregivers. A larger study is needed to assess the impact of TEACHH on childhood asthma morbidity.

CLINICALTRIALS.GOV IDENTIFIER

NCT04995692 (Registration date 8/9/2021).

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.

Impact of climate change on paediatric respiratory health: pollutants and aeroallergens

Paediatric populations are particularly vulnerable to respiratory diseases caused and exacerbated by aeroallergens, pollutants and infectious agents. Worsening climate change is expected to increase the prevalence of pollutants and aeroallergens while amplifying disease severity and causing disproportionate effects in under-resourced areas. The purpose of this narrative review is to summarise the role of anthropogenic climate change in the literature examining the future impact of aeroallergens, pollutants and infectious agents on paediatric respiratory diseases with a focus on equitable disease mitigation. The aeroallergens selected for discussion include pollen, dust mites and mould as these are prevalent triggers of paediatric asthma worldwide. Human rhinovirus and respiratory syncytial virus are key viruses interacting with climate change and pollution and are primary causal agents of viral respiratory disease. Within this review, we present the propensity for aeroallergens, climate change and pollution to synergistically exacerbate paediatric respiratory disease and outline measures that can ameliorate the expected increase in morbidity and severity of disease through a health equity lens. We support shifting from fossil fuels to renewable energy worldwide, across sectors, as a primary means of reducing increases in morbidity.

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.

Neighborhood Income Is Associated with Health Care Use in Pediatric Short Bowel Syndrome

OBJECTIVE

To evaluate associations between neighborhood income and burden of hospitalizations for children with short bowel syndrome (SBS).

STUDY DESIGN

We used the Pediatric Health Information System (PHIS) database to evaluate associations between neighborhood income and hospital readmissions, readmissions for central line-associated bloodstream infections (CLABSI), and hospital length of stay (LOS) for patients <18 years with SBS hospitalized between January 1, 2006, and October 1, 2015. We analyzed readmissions with recurrent event analysis and analyzed LOS with linear mixed effects modeling. We used a conceptual model to guide our multivariable analyses, adjusting for race, ethnicity, and insurance status.

RESULTS

We included 4289 children with 16 347 hospitalizations from 43 institutions. Fifty-seven percent of the children were male, 21% were Black, 19% were Hispanic, and 67% had public insurance. In univariable analysis, children from low-income neighborhoods had a 38% increased risk for all-cause hospitalizations (rate ratio [RR] 1.38, 95% CI 1.10-1.72, P = .01), an 83% increased risk for CLABSI hospitalizations (RR 1.83, 95% CI 1.37-2.44, P < .001), and increased hospital LOS (β 0.15, 95% CI 0.01-0.29, P = .04). In multivariable analysis, the association between low-income neighborhoods and elevated risk for CLABSI hospitalizations persisted (RR 1.70, 95% CI 1.23-2.35, P < .01, respectively).

CONCLUSIONS

Children with SBS from low-income neighborhoods are at increased risk for hospitalizations due to CLABSI. Examination of specific household- and neighborhood-level factors contributing to this disparity may inform equity-based interventions.

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.

Reduced prevalence of childhood asthma after housing renovations in an underresourced community

Background

Despite improvements in asthma symptom management and asthma morbidity, the prevalence of asthma in the United States remains high, especially in underresourced communities.

Objective

Our goal was to determine whether housing renovations affect the prevalence of asthma in an underresourced community.

Methods

The Fay Apartments (~800 units) in Cincinnati, Ohio, were renovated to "green building" standards between 2010 and 2012 and renamed the Villages at Roll Hill. The prevalence of asthma among 7-year-olds in the Villages at Roll Hill was determined by accessing Ohio Medicaid data for the years 2013 to 2021.

Results

In the first 6 years after the renovations (2013-2018), the prevalence of asthma among 7-year-olds in the community averaged 12.7%. In contrast, in postrenovation years 7 through 9 (2019-2021), the average prevalence of asthma was 5.9%. Logistic regression modeling for the log odds of asthma diagnosis in this age group was used to test the statistical significance of asthma prevalence for 2013-2018 versus for 2019-2021. The model resulted in demonstration of a significant (P < .001) reduction in asthma prevalence between 2013-2018 and 2019-2021.

Conclusions

The renovation of an underresourced community's housing resulted in a lower prevalence of asthma for 7-year-olds who were born after the renovations had been completed.

Inpatient Screening of Parental Adversity and Strengths

BACKGROUND AND OBJECTIVES

Social adversities, including health-harming social risks and adverse childhood experiences, contribute to poor outcomes after hospital discharge. Screening for social adversities is increasingly pursued in outpatient settings. Identifying and addressing such adversities has been linked to improved child outcomes. Screening for social adversities and strengths in the inpatient setting may contribute to better transitions from hospital to home. Our goal was twofold: 1. to use qualitative methods to understand parent perspectives around screening tools for potential use in inpatient settings; and 2. to develop a family-friendly inpatient screening tool for social adversity.

METHODS

We used in-depth, cognitive qualitative interviews with parents to elicit their views on existing screening tools covering social adversities and strengths. We partnered with a local nonprofit to recruit parents who recently had a child hospitalized or visited the emergency department. There were 2 phases of the study. In the first phase, we used qualitative methods to develop a screening prototype. In the second phase, we obtained feedback on the prototype.

RESULTS

We interviewed 18 parents who identified 3 major themes around screening: 1. factors that promote parents to respond openly and honestly during screening; 2. feedback about screening tools and the prototype; and 3. screening should include resources.

CONCLUSIONS

Social adversity routinely affects children; hospitalization is an important time to screen families for adversity and potential coexisting strengths. Using qualitative parent feedback, we developed the family friendly Collaborate to Optimize Parent Experience screening tool.

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.

Crossing the Quality Chasm and the Ignored Pillar of Health Care Equity

Although there has been tremendous progress toward the aspiration of delivering quality health care, among the National Academy of Medicine's (previously Institute of Medicine) six pillars of quality (health care should be safe, effective, timely, patient-centered, efficient, and equitable), the last pillar, equity, has been largely ignored. Examples of how the quality improvement (QI) process leads to improvements are numerous and must be applied to the pillar of equity related to race/ethnicity and socioeconomic status. This article describes how equity should be addressed using the QI process.

Pursuing a Cross-Sector Approach to Advance Child Health Equity

Cross-sector partnerships are essential to ensure a safe and effective system of care for children, their caregivers, and communities. A "system of care" should have a well-defined population, vision, and measures shared by health care and community stakeholders, and an efficient modality for tracking progress toward better, more equitable outcomes. Effective partnerships could be clinically integrated, built atop coordinated awareness and assistance, and community-connected opportunities for networked learning. As opportunities for partnership continue to be uncovered, it will be vital to broadly assess their impact, using clinical and nonclinical metrics.

Neighborhood socioeconomic status and length of stay after congenital heart disease surgery

Background and Objectives

Socioeconomic factors are associated with health outcomes and can affect postoperative length of stay after congenital heart disease (CHD) surgery. The hypothesis of this study is that patients from neighborhoods with a disadvantaged socioeconomic status (SES) have a prolonged length of hospital stay after CHD surgery.

Methods

Pre- and postoperative data were collected on patients who underwent CHD surgery at the University of Maryland Medical Center between 2011 and 2019. A neighborhood SES score was calculated for each patient using data from the United States Census Bureau and patients were grouped by high vs. low SES neighborhoods. The difference of patient length of stay (LOS) from the Society for Thoracic Surgeons median LOS for that surgery was the primary outcome measure. Linear regression was performed to examine the association between the difference from the median LOS and SES, as well as other third variables.

Results

The difference from the median LOS was -4.8 vs. -2.2 days in high vs. low SES groups (p = 0.003). SES category was a significant predictor of LOS in unadjusted and adjusted regression analyses. There was a significant interaction between Norwood operation and SES-patients with a low neighborhood SES who underwent Norwood operation had a longer LOS, but there was no difference in LOS by SES in patients who underwent other operations.

Conclusions

Neighborhood SES is a significant predictor of the LOS after congenital heart disease surgery. This effect was seen primarily in patients undergoing Norwood operation.

STEP IN: Supporting Together Exercise and Play and Improving Nutrition; a Feasibility Study of Parent-Led Group Sessions and Fitness Trackers to Improve Family Healthy Lifestyle Behaviors in a Low-Income, Predominantly Black Population

BACKGROUND

Pediatric obesity is prevalent and challenging to treat. Although family-centered behavioral management is the gold standard, many families face structural inequities to its access and efficacy. Identifying ways to manage pediatric obesity within primary care is needed.

METHODS

This feasibility study included three sequential trials of peer-led group sessions occurring biweekly or monthly between 3/2016 and 2/2017. Parent-child dyads were recruited from a large academic primary care clinic via mailed invitations, prioritizing patients living in local zip codes of historical disinvestment. Eligible patients were 6 to 12 years with a body mass index ≥85th percentile, with parent and child interest in making healthy lifestyle changes, and English speaking.

RESULTS

27 dyads participated, 77% were non-Hispanic Black. Retention and attendance rates were highest in the initial four-session biweekly pilot (100%, 0 dropouts), high in the full six-session biweekly cohort (83%, 1 dropout), and moderate in the monthly cohort (62.7%, 4 dropouts). Families reported high satisfaction with the sessions (4.75/5). Qualitative comments suggested social connections had motivated behavior change in some families.

CONCLUSION

Parent-led group sessions for pediatric weight management show promise in engaging families. A future large trial is needed to assess behavior change and anthropometric outcomes.

Geographic Variation in Acute Pediatric Mental Health Utilization

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

What Have Mechanistic Studies Taught Us About Childhood Asthma?

Childhood asthma is a chronic heterogeneous syndrome consisting of different disease entities or phenotypes. The immunologic and cellular processes that occur during asthma development are still not fully understood but represent distinct endotypes. Mechanistic studies have examined the role of gene expression, protein levels, and cell types in early life development and the manifestation of asthma, many under the influence of environmental stimuli, which can be both protective and risk factors for asthma. Genetic variants can regulate gene expression, controlled partly by different epigenetic mechanisms. In addition, environmental factors, such as living space, nutrition, and smoking, can contribute to these mechanisms. All of these factors produce modifications in gene expression that can alter the development and function of immune and epithelial cells and subsequently different trajectories of childhood asthma. These early changes in a partially immature immune system can have dramatic effects (e.g., causing dysregulation), which in turn contribute to different disease endotypes and may help to explain differential responsiveness to asthma treatment. In this review, we summarize published studies that have aimed to uncover distinct mechanisms in childhood asthma, considering genetics, epigenetics, and environment. Moreover, a discussion of new, powerful tools for single-cell immunologic assays for phenotypic and functional analysis is included, which promise new mechanistic insights into childhood asthma development and therapeutic and preventive strategies.

Social Risks and Health Care Utilization Among a National Sample of Children With Asthma

OBJECTIVES

Prior studies using single-center populations have established associations between social risks and health care utilization among children with asthma. We aimed to evaluate associations between social risks and health care utilization among a nationally representative sample of children with asthma.

STUDY DESIGN

In this cross-sectional study, we utilized the 2018-2019 National Survey of Children's Health to identify children 2 to 17 years old with asthma. Using the Healthy People (HP) 2030 social determinants of health (SDOH) framework, we identified 31 survey items assessing 18 caregiver-identified social risks as exposure variables and classified them into the 5 HP SDOH domains (Economy, Education, Health care, Community, and Environment). Primary outcome was caregiver-reported health care utilization. Associations between individual social risks and total number of SDOH domains experienced with health care utilization were assessed.

RESULTS

The weighted study population included 8.05 million children, 96% of whom reported ≥1 social risk. Fourteen social risks, spanning all 5 SDOH domains, were significantly associated with increased health care utilization. The 3 risks with the highest adjusted odds ratios (aOR) of health care utilization included: experiencing discrimination (aOR 3.26 [95% confidence interval (CI): 1.75, 6.08]); receiving free/reduced lunch (aOR 2.16, [95% CI 1.57, 2.98]); and being a victim of violence (aOR 2.11, [95% CI 1.11, 4]). Children with risks across more SDOH domains reported significantly higher health care utilization.

CONCLUSIONS

Among our national population of children with asthma, social risks are prevalent and associated with increased health care utilization, highlighting their potential contribution to pediatric asthma morbidity.

BORN TO WHEEZE OR LEARNED WHEN WE WERE YOUNG: MATERNAL AND ENVIRONMENTAL FACTORS INFLUENCE ATOPIC RISK

The prevalence of atopic diseases is increasing globally, particularly in children. Heritable genetics can partially explain risk of disease. Evidence also points to acquired genetic material, in the form of the microbiome, as an important factor in disease pathogenesis. The acquisition of the microbiome dynamically changes in response to differences in lifestyle and environmental factors. Also, in utero, maternal and environmental factors influence atopic risk for allergic rhinitis, eczema, asthma, and food allergy. Combining the analytical power of omics, we focus on how the microbiota mediates effects between mother, environment, immunity, and risk of atopic disease. In parallel, we stress that health care disparities impact asthma morbidity and mortality. Efforts to improve asthma outcomes must include multidisciplinary strategies.

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.

Shared Purpose: Leveraging a Community-Academic Partnership to Increase Local Environmental Health Awareness via Community Science

Environmental factors can lead to disease and health disparities when the places where people live, learn, work, play and pray are burdened by social inequities. Non-formal programs that explicitly connect local environmental exposures and human health could be of great value to communities at greatest risk. The purpose of this work was to co-create relevant and engaging education with youth and community stakeholders of all ages that more explicitly emphasizes the link between the local environment and community members' health through a hands-on community science experience. Our experiences helped strengthen our community-academic partnership and establish a route to create and tailor informal programming to meet local needs and engage people in community science with academic partners. We generated two distinctly different community science neighborhood audit tools designed to differently engage our community partners and inform community participants of their local environments and its role on their health. Through community meetings, we garnered critical insight from our stakeholders. While neither of the tools and accompanying data collected were deemed to be scientifically generalizable, our ongoing and future work has benefited from important lessons learned from their creation and sharing.

An Assessment of a Socioeconomic Risk Screening Tool for Telemedicine Encounters in Pediatric Primary Care: A Pilot Study

Socioeconomic adversity negatively affects child health. Telemedicine use in pediatrics is rapidly expanding. We piloted a socioeconomic risk screening tool within telemedicine visits. Using chart review, our primary aim was to assess the rates of screen completion, risk identification, and referral generation during telemedicine visits. Our secondary aim was to assess family satisfaction and barriers to connecting with referrals/interventions through follow-up telephone interviews. This study included 179 telemedicine encounters. The screening tool was completed in 63% of encounters and was positive in 5% of encounters. Of those who identified socioeconomic risks, 90% received a referral/intervention (social work consultation, food pantry, etc.). During follow-up calls, families expressed satisfaction with telemedicine, though 31% described difficulty connecting with the recommended services. High rates of socioeconomic risk screening resulting in interventions are achievable during telemedicine visits. Further work is needed to identify optimal socioeconomic risk screening questions and opportunities, and to ensure successful interventions.

Community Interventions for Childhood Asthma ED Visits and Hospitalizations: A Systematic Review

A systematic review of interventions in community environments found significant reductions in childhood asthma exacerbations leading to emergency department visits and hospitalizations.

BACKGROUND AND OBJECTIVES

Structural and social determinants of childhood asthma inequities manifest within geographic communities that are often segregated. Childhood asthma disproportionately affects Black, Hispanic, and low-income populations. Community interventions have the potential to improve inequities in emergency healthcare. This systematic review was conducted to assess the effectiveness of childhood asthma community interventions and provide a conceptual model to inform implementation of future community interventions.

METHODS

Publications from PubMed, ScienceDirect, CINAHL, Cochrane Library, Web of Science, and hand searched references were examined from 2010 to 2021. Community intervention studies among children with asthma were included. Main outcomes were emergency department visits and hospitalizations. Community interventions exclusively focusing on schools or hospitals were excluded. Two reviewers independently assessed eligibility for final inclusion. Emergency healthcare findings were extracted in addition to co-benefits (eg, fewer missed school days and caregiver workdays).

RESULTS

Out of 1856 records, 26 publications met the inclusion criteria. Community interventions were categorized by care coordination (n = 8), policy and environmental changes (eg, smoke-free legislature, traffic reduction models, and green housing) (n = 8), home-based (n = 6), and community-based health services (n = 4). Selected studies indicated that community interventions significantly reduced childhood asthma emergency department visits and hospitalizations through increased caregiver self-efficacy, home environmental trigger reduction, and increased access to healthcare. Because of heterogeneity among studies, we were unable to conduct a meta-analysis.

CONCLUSIONS

Findings show significant associations between community interventions and the reduction of emergency healthcare, suggesting a protective effect for severe cases of childhood asthma.

Chronic pediatric diseases and risk for reading difficulties: a narrative review with recommendations

Literacy is a major social determinant of health, rooted in skills that develop during early childhood. Children arriving at kindergarten unprepared to learn to read are more likely to have low reading proficiency thereafter. General and health literacy are highly correlated, affecting understanding of health conditions, treatment adherence, and transition to self-care and adult healthcare services. The American Academy of Pediatrics (AAP) recommends literacy and school readiness promotion during well-visits and neurodevelopmental surveillance is emphasized across primary and subspecialty care. While genetic and environmental risk factors for reading difficulties are well-established, risks related to complex and chronic medical conditions are less appreciated and under-researched. This review applies an eco-bio-developmental framework to explore literacy across five complex chronic conditions affecting millions of children worldwide: asthma, cancer, congenital heart disease, epilepsy, and sickle cell disease. In each, integration of an efficient reading brain network may be impacted by direct factors, such as ischemia, anesthesia, and/or medications, and also indirect factors, such as altered parent-child routines, hospital stays, and missed school. By integrating literacy into care management plans for affected children, pediatric primary care and specialty providers are poised to identify risks early, target guidance and interventions, and improve academic and health outcomes. IMPACT: While genetic and environmental risk factors for reading difficulties are well-established, risks related to complex and/or chronic medical conditions such as asthma, cancer, congenital heart disease, epilepsy, and sickle cell disease are substantial, less appreciated, and under-researched. General and health literacy are highly correlated, with implications for the understanding one's health condition, treatment adherence, and transitioning to self-care, which is especially important for children with complex and/or chronic illness. Pediatric primary care and specialty providers are poised to integrate reading and literacy into care management plans for children with complex and/or chronic illness, including early screening, guidance, support, and 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.

Childhood Asthma Incidence, Early and Persistent Wheeze, and Neighborhood Socioeconomic Factors in the ECHO/CREW Consortium

Importance

In the United States, Black and Hispanic children have higher rates of asthma and asthma-related morbidity compared with White children and disproportionately reside in communities with economic deprivation.

Objective

To determine the extent to which neighborhood-level socioeconomic indicators explain racial and ethnic disparities in childhood wheezing and asthma.

Design, Setting, and Participants

The study population comprised children in birth cohorts located throughout the United States that are part of the Children's Respiratory and Environmental Workgroup consortium. Cox proportional hazard models were used to estimate hazard ratios (HRs) of asthma incidence, and logistic regression was used to estimate odds ratios of early and persistent wheeze prevalence accounting for mother's education, parental asthma, smoking during pregnancy, child's race and ethnicity, sex, and region and decade of birth.

Exposures

Neighborhood-level socioeconomic indicators defined by US census tracts calculated as z scores for multiple tract-level variables relative to the US average linked to participants' birth record address and decade of birth. The parent or caregiver reported the child's race and ethnicity.

Main Outcomes and Measures

Prevalence of early and persistent childhood wheeze and asthma incidence.

Results

Of 5809 children, 46% reported wheezing before age 2 years, and 26% reported persistent wheeze through age 11 years. Asthma prevalence by age 11 years varied by cohort, with an overall median prevalence of 25%. Black children (HR, 1.47; 95% CI, 1.26-1.73) and Hispanic children (HR, 1.29; 95% CI, 1.09-1.53) were at significantly increased risk for asthma incidence compared with White children, with onset occurring earlier in childhood. Children born in tracts with a greater proportion of low-income households, population density, and poverty had increased asthma incidence. Results for early and persistent wheeze were similar. In effect modification analysis, census variables did not significantly modify the association between race and ethnicity and risk for asthma incidence; Black and Hispanic children remained at higher risk for asthma compared with White children across census tracts socioeconomic levels.

Conclusions and Relevance

Adjusting for individual-level characteristics, we observed neighborhood socioeconomic disparities in childhood wheeze and asthma. Black and Hispanic children had more asthma in neighborhoods of all income levels. Neighborhood- and individual-level characteristics and their root causes should be considered as sources of respiratory health inequities.

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

Objectives

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

Methods

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

Results

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

Conclusion

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

Neighborhood Socioeconomic Deprivation and Health Care Utilization of Medically Complex Children

OBJECTIVES

To assess the association between neighborhood socioeconomic deprivation and health care utilization in a cohort of children with medical complexity (CMC).

METHODS

Cross-sectional study of children aged <18 years receiving care in our institution's patient-centered medical home (PCMH) for CMC in 2016 to 2017. Home addresses were assigned to census tracts and a tract-level measure of socioeconomic deprivation (Deprivation Index with range 0-1, higher numbers represent greater deprivation). Health care utilization outcomes included emergency department visits, hospitalizations, inpatient bed days, and missed PCMH clinic appointments. To evaluate the independent association between area-level socioeconomic deprivation and utilization outcomes, multivariable Poisson and linear regression models were used to control for demographic and clinical covariates.

RESULTS

The 512 included CMC lived in neighborhoods with varying degrees of socioeconomic deprivation (median 0.32, interquartile range 0.26-0.42, full range 0.12-0.82). There was no association between area-level deprivation and emergency department visits (adjusted risk ratio [aRR] 0.98; 95% confidence interval [CI]: 0.93 to 1.04), hospitalizations (aRR 0.97; 95% CI: 0.92 to 1.01), or inpatient bed-days (aRR 1.00, 95% CI: 0.80 to 1.27). However, there was a 13% relative increase in the missed clinic visit rate for every 0.1 unit increase in Deprivation Index (95% CI: 8%-18%).

CONCLUSIONS

A child's socioeconomic context is associated with their adherence to PCMH visits. Our PCMH for CMC includes children living in neighborhoods with a range of socioeconomic deprivation and may blunt effects from harmful social determinants. Incorporating knowledge of the socioeconomic context of where CMC and their families live is crucial to ensure equitable health outcomes.

Is Population Density Associated with Non-Communicable Disease in Western Developed Countries? A Systematic Review

Over the last three decades, researchers have investigated population density and health outcomes at differing scale. There has not been a systematic review conducted in order to synthesise this evidence. Following the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines, we systematically reviewed quantitative evidence published since 1990 on population density and non-communicable disease (NCD) within Westernised countries. Fifty-four studies met the inclusion criteria and were evaluated utilising a quality assessment tool for ecological studies. High population density appears to be associated with higher mortality rates of a range of cancers, cardiovascular disease and COPD, and a higher incidence of a range of cancers, asthma and club foot. In contrast, diabetes incidence was found to be associated with low population density. High and low population density are therefore risk markers for a range of NCDs, indicating that there are unidentified factors and mechanisms underlying aetiology. On closer examination, our synthesis revealed important and complex relationships between population density, the built environment, the nature of greenspace and man-made exposures. In light of increasing rates of morbidity and mortality, future research is required to investigate these associations in order to establish causative agents for each NCD.

Racism and pediatric health outcomes

Racism- a system operating at the intrapersonal, interpersonal, institutional, and structural levels- is a serious threat to the health and wellbeing of children and adolescents. This narrative review highlights racism as a social determinant of health, and describes how racism breeds disparate pediatric health outcomes in infant health, asthma, Type 1 diabetes, mental health, and pediatric surgical conditions. Key examples include the association of residential racial segregation and the alarming infant mortality rate among Black infants as well as the role of redlining and discriminatory housing practices on asthma morbidity among Black children and adolescents. Furthermore, inequitable care practices such as (1) racial and ethnic disparities in insulin pump usage in patients with Type 1 diabetes, (2) lower rates pharmacotherapy initiation in racialized children with mental health disorders, and (3) decreased pain medication management and confirmatory imaging in Black children with acute appendicitis, highlight the role of interpersonal racism in propagating poor health outcomes. An urgent call to action is needed to address pediatric health inequities and ensure all children can live healthy lives. Key strategies must tackle racism at the individual, institutional, and structural levels and include building a diverse workforce, prioritizing research to describe the impact of racism on pediatric health outcomes, initiating improvement efforts to close equity gaps, building community partnerships, co-designing solutions alongside patients and families, and advocating for policy change to address the social conditions that impact children and adolescents of color.

Socioeconomic and Racial Disparities in Diabetic Ketoacidosis Admissions in Youth With Type 1 Diabetes

OBJECTIVE

We sought to determine whether census tract poverty, race, and insurance status were associated with the likelihood and severity of diabetic ketoacidosis (DKA) hospitalization among youth with type 1 diabetes (T1D).

METHODS

We conducted a retrospective population-based cohort study using Cincinnati Children's Hospital electronic medical record (EMR) data from January 1, 2011, to December 31, 2017, for T1D patients ≤18 years old. The primary outcome was admission for DKA. Secondary outcomes included DKA severity, defined by initial pH and bicarbonate, and length of stay. Exposures were the poverty rate for the youth's home census tract, parent-reported race, and insurance status. We used multivariable logistic regression to analyze effects on odds of admission.

RESULTS

We identified 439 patients with T1D; 152 were hospitalized. The cohort was 48% female, 25% Black, and 36% publicly insured; the median age was 14 years. For every 10% increase in a youth's census tract poverty rate, the adjusted odds of admission increased by 22% (95% CI, 1.03-1.47). Public insurance status was associated with DKA admission (adjusted odds ratio [AOR], 2.71, 95% CI, 1.62-4.55) while race was not. There were no clinically meaningful differences in pH or bicarbonate by census tract poverty, race, or insurance status; however, Black patients experienced differences in care (eg, longer length of stay).

CONCLUSION

Youth with T1D living in high poverty areas and on public insurance were significantly more likely to be admitted for DKA. Severity upon presentation was similar across exposures. Understanding contextual mechanisms by which disparities emerge will inform changes aimed at equitably improving care.

Genetic ancestry differences in pediatric asthma readmission are mediated by socioenvironmental factors

BACKGROUND

Social and financial hardships, combined with disease managment and environmental factors explain approximately 80% of the observed disparity in asthma-related readmissions between Black and White children.

OBJECTIVE

We sought to determine whether asthma-related readmissions differed by degree of African ancestry and the extent to which such an association would also be explained by socioenvironmental risk factors.

METHODS

This study used data from a prospective cohort study of 695 Black and White children aged 1 to 16 years with an asthma-related admission. The primary outcome was a similar readmission within 12 months. Each subject's African ancestry was determined by single nucleotide polymorphisms on a continuous scale ranging from 0 to 1 (0 = no African ancestry; 1 = 100% African ancestry). We also assessed 37 social, environmental, and clinical variables that we clustered into 6 domains (for example, hardship, disease management). Survival and mediation analyses were conducted.

RESULTS

A total of 134 children (19.3%) were readmitted within 12 months. Higher African ancestry was associated with asthma readmission (odds ratio 1.11, 95% confidence interval 1.05-1.18 for every 10% increase in African ancestry) with adjustment for age and gender. The association between African ancestry and readmission was mediated by hardship (sβ = 3.42, P < .001) and disease management (sβ = 0.046, P = .001), accounting for >50% of African ancestry's effect on readmission. African ancestry was no longer significantly associated with readmission (sβ = 0.035, P = .388) after accounting for these mediators.

CONCLUSIONS

African ancestry was strongly associated with readmission, and the association was mediated by family hardship and disease management. These results are consistent with the notion that asthma-related racial disparities are driven by factors like structural racism and social adversity.

The Association Between Race and Adverse Postoperative Outcomes in Children With Congenital Heart Disease Undergoing Noncardiac Surgery

BACKGROUND

The association between race and perioperative outcomes has been evaluated in adult cardiac surgical and in healthy pediatric patients but has not been evaluated in children with congenital heart disease (CHD) presenting for noncardiac procedures. This study compares the incidence of the primary outcome of 30-day mortality and adverse postoperative outcomes following noncardiac surgery between Black and White children with CHD, stratified by severity.

METHODS

This is a retrospective study. Comparison of outcomes between Black and White children was performed using the 2012-2018 American College of Surgeons National Surgical Quality Improvement Program Pediatric database and after stratification for severity of CHD and propensity score matching.

RESULTS

A total of 55,859 patients were included, and divided into 28,601 minor, 23,839 major, and 3419 severe CHD. Black and White children in each category were matched and compared. Following matching in the overall CHD cohort, there were significantly higher rates of the following adverse postoperative outcomes among Black patients as compared to White patients: 30-day mortality (1.84% vs 1.49%; odds ratio [OR], 1.25; 95% confidence interval [CI], 1.05-1.48; P = .014), composite secondary outcomes (19.90% vs 17.88%; OR, 1.14; 95% CI, 1.08-1.21; P < .001), cardiac arrest (1.42% vs 0.98%; OR, 1.46; 95% CI, 1.19-1.79; P < .001), 30-day reoperation (7.59% vs 6.67%; OR, 1.15; 95% CI, 1.05-1.25; P = .002), and reintubation (3.9% vs 2.95%; OR, 1.34; 95% CI, 1.19-1.52; P < .001). No significant statistical interaction between race and CHD severity was found. Following matching and within the minor CHD cohort, Black children had significantly higher rates of composite secondary outcome (17.44% vs 15.60%; OR, 1.15; 95% CI, 1.05-1.25; P = .002), cardiac arrest (1.02% vs 0.53%; OR, 1.94; 95% CI, 1.37-2.76; P < .001), 30-day reoperation (7.19% vs 5.77%; OR, 1.26; 95% CI, 1.11-1.43; P < .001), and thromboembolic complications (0.49% vs 0.23%; OR, 2.17; 95% CI, 1.29-3.63; P = .003) compared to White children. In the major CHD cohort, Black children had significantly higher rates of 30-day mortality (2.75% vs 2.05%; OR, 1.35; 95% CI, 1.08-1.69; P = .008) and reintubation (4.82% vs 3.72%; OR, 1.32; 95% CI, 1.11-1.56; P = .002). There were no statistically significant differences in outcomes in the severe CHD category for 30-day mortality (3.36% vs 3.3%; OR, 1.02; 95% CI, 0.60-1.73; P = .946), composite secondary outcome (22.65% vs 21.36%; OR, 1.08; 95% CI, 0.86-1.36; P = .517) nor the components of the composite secondary outcomes.

CONCLUSIONS

Race is associated with postoperative mortality and complications in children with minor and major CHD undergoing noncardiac surgery. No significant association was observed between race and postoperative outcomes in patients with severe CHD. This is consistent with previous findings wherein in patients with severe CHD, residual lesion burden and functional status is the leading predictor of outcomes following noncardiac surgery. Nevertheless, there is no evidence that the relationship between race and outcomes differs across the CHD severity categories. Future studies to understand the mechanisms leading to the racial difference, including institutional, clinical, and individual factors are needed.

The Impact of Socioeconomic Disadvantage on Pediatric Tracheostomy Outcomes

OBJECTIVES

To determine if socioeconomic disadvantage impacts perioperative outcomes after tracheostomy.

METHODS

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

RESULTS

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

CONCLUSIONS

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

LEVEL OF EVIDENCE

4 Laryngoscope, 2021.

A distributed geospatial approach to describe community characteristics for multisite studies

Understanding place-based contributors to health requires geographically and culturally diverse study populations, but sharing location data is a significant challenge to multisite studies. Here, we describe a standardized and reproducible method to perform geospatial analyses for multisite studies. Using census tract-level information, we created software for geocoding and geospatial data linkage that was distributed to a consortium of birth cohorts located throughout the USA. Individual sites performed geospatial linkages and returned tract-level information for 8810 children to a central site for analyses. Our generalizable approach demonstrates the feasibility of geospatial analyses across study sites to promote collaborative translational research.

Building a Population Representative Pediatric Biobank: Lessons Learned From the Greater Cincinnati Childhood Cohort

Background: Biobanks can accelerate research by providing researchers with samples and data. However, hospital-based recruitment as a source for controls may create bias as who comes to the hospital may be different from the broader population. Methods: In an effort to broadly improve the quality of research studies and reduce costs and challenges associated with recruitment and sample collection, a group of diverse researchers at Cincinnati Children's Hospital Medical Center led an institution-supported initiative to create a population representative pediatric "Greater Cincinnati Childhood Cohort (GCC)." Participants completed a detailed survey, underwent a brief physician-led physical exam, and provided blood, urine, and hair samples. DNA underwent high-throughput genotyping. Results: In total, 1,020 children ages 3-18 years living in the 7 county Greater Cincinnati Metropolitan region were recruited. Racial composition of the cohort was 84% non-Hispanic white, 15% non-Hispanic black, and 2% other race or Hispanic. Participants exhibited marked demographic and disease burden differences by race. Overall, the cohort was broadly used resulting in publications, grants and patents; yet, it did not meet the needs of all potential researchers. Conclusions: Learning from both the strengths and weaknesses, we propose leveraging a community-based participatory research framework for future broad use biobanking efforts.

Disparities Affect Developmental Risk for Head Start Preschoolers

PURPOSE

This paper presents an analysis of Head Start (HStart) preschooler data by severity of developmental concern, while considering socio-demographic and other factors that highlight racial and ethnic disparities in the early identification of developmental delay or disability (DD).

DESIGN AND METHODS

We conducted an analysis of 2014-2015 academic year data for preschool-aged children in HStart in both urban and suburban centers in a large Midwestern city. Descriptive statistics were used to determine the prevalence of developmental concerns and compare characteristics of children with mild-to-moderate versus severe developmental concerns; differences between groups were compared using t-tests and chi-square tests. Multivariate logistic regression was used to determine the independent effect of each predictor of concern severity.

RESULTS

Nearly one-third of HStart preschoolers were identified with developmental concern; 70% were mild-to-moderate risk for DD and the remaining severe risk. Neither group was routinely referred to healthcare for evaluation or treatment, and most of the severe risk group did not qualify nor receive treatment for DD with an Individualized Education Plan. Suburban and urban preschoolers with severe concern were less likely to be African American or Latinx, suggesting that racially and ethnically diverse preschoolers in HStart may be under-identified and under-treated.

CONCLUSIONS

Lags in the educational diagnosis of DD may mirror the disparities in diagnosis and treatment of DD among minority groups. Primary care is the first line for detection and treatment of DD, and offers a unique opportunity to act for racially and ethnically diverse HStart preschoolers disproportionately at-risk for DD.

Fractional exhaled nitric oxide response to oral corticosteroids in children with mild-to-moderate asthma: Influence of race

BACKGROUND

Fractional exhaled nitric oxide (FeNO) is a noninvasive biomarker of type 2 asthma that can predict response to inhaled corticosteroid therapy. Little is known regarding the magnitude of FeNO reduction after an oral corticosteroid (OCS) course, and less is known whether there are differential responses based on race in children with mild-to-moderate asthma.

OBJECTIVE

To assess the effect of a short course of OCS on FeNO in children with asthma and to determine whether the effect is influenced by race.

METHODS

Children presenting with an acute asthma exacerbation, who had a FeNO measurement within the past 6 months when clinically stable, were enrolled. Spirometry and FeNO were obtained at the time of exacerbation and after a short course of prednisone.

RESULTS

A total of 92 children were identified (aged 11 ± 3.3 years; white, n = 46 [50%], Hispanics, n = 30 [33%], African Americans [AAs], n = 16 [7%]). At baseline, AAs were more atopic and had higher mean FeNO values than both white (48.9 vs 25.6 ppb; P < .05) and Hispanic children (22.5 ppb; P < .05), despite being prescribed similar inhaled corticosteroid doses. During the exacerbation, AAs had the highest FeNO values, whereas there was no difference in lung function between AAs and non-AAs. After prednisone therapy, there was a 56.6% reduction in FeNO, and although AAs maintained the highest FeNO levels, the relative reduction was similar between AAs and non-AAs (53.9% vs 57.8%, respectively).

CONCLUSION

FeNO levels reduced by more than 50% after an OCS course. African American children had a greater degree of type 2-driven airway inflammation at baseline, during an exacerbation and after a short course of OCS, compared with non-AAs, although the relative reduction in FeNO was similar between the groups.

Residential instability, neighborhood deprivation, and pediatric asthma outcomes

INTRODUCTION

Limited work has directly compared the role of different neighborhood factors or examined their interactive effects on pediatric asthma outcomes. Our objective was to quantify the main and interactive effects of neighborhood deprivation and residential instability (RI) on pediatric asthma outcomes.

METHODS

We conducted a retrospective cross-sectional study of patients with a primary diagnosis of asthma hospitalized at a tertiary care pediatric hospital. Residential addresses at the index hospitalization were linked to the state area deprivation index (ADI). RI was coded as the number of residences in the past 4 years. Logistic and ordinal regression and Cox regression survival analyses were used to estimate the effect on the primary outcomes of chronic asthma severity (intermittent, mild persistent, moderate persistent, severe persistent/other) as defined by the National Heart, Lung, and Blood Institute, severe hospitalization (requiring continuous albuterol or intensive care unit care), and time to emergency department (ED) readmission and rehospitalization within 365 days of the index visit, respectively.

RESULTS

In the sample (N = 664), 21% had severe persistent/other asthma, 22% had severe hospitalization, 37% were readmitted to the ED, and 19% were rehospitalized. Increasing RI was independently associated with more severe chronic asthma (odds ratio = 1.18, 95% confidence interval [CI] = 1.05, 1.32, P = .004), greater risk of 365-day ED readmission (hazard ratio [HR] = 1.10, 95% CI = 1.05, 1.15, P < .0001), and greater risk of 365-day rehospitalization (HR = 1.09, 95% CI = 1.03, 1.14, P = .002). There were no significant associations between ADI and these outcomes. Further, we did not find significant evidence of interactive effects.

CONCLUSIONS

RI appears to be modestly associated with pediatric asthma outcomes, independent of current neighborhood deprivation.

Neighborhood Poverty and Pediatric Intensive Care Use

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery

BACKGROUND

Last-minute surgery cancellation represents a major wastage of resources and can cause significant inconvenience to patients. Our objectives in this study were: 1) To develop predictive models of last-minute surgery cancellation, utilizing machine learning technologies, from patient-specific and contextual data from two distinct pediatric surgical sites of a single institution; and 2) to identify specific key predictors that impact children's risk of day-of-surgery cancellation.

METHODS AND FINDINGS

We extracted five-year datasets (2012-2017) from the Electronic Health Record at Cincinnati Children's Hospital Medical Center. By leveraging patient-specific information and contextual data, machine learning classifiers were developed to predict all patient-related cancellations and the most frequent four cancellation causes individually (patient illness, "no show," NPO violation and refusal to undergo surgery by either patient or family). Model performance was evaluated by the area under the receiver operating characteristic curve (AUC) using ten-fold cross-validation. The best performance for predicting all-cause surgery cancellation was generated by gradient-boosted logistic regression models, with AUC 0.781 (95% CI: [0.764,0.797]) and 0.740 (95% CI: [0.726,0.771]) for the two campuses. Of the four most frequent individual causes of cancellation, "no show" and NPO violation were predicted better than patient illness or patient/family refusal. Models showed good cross-campus generalizability (AUC: 0.725/0.735, when training on one site and testing on the other). To synthesize a human-oriented conceptualization of pediatric surgery cancellation, an iterative step-forward approach was applied to identify key predictors which may inform the design of future preventive interventions.

CONCLUSIONS

Our study demonstrated the capacity of machine learning models for predicting pediatric patients at risk of last-minute surgery cancellation and providing useful insight into root causes of cancellation. The approach offers the promise of targeted interventions to significantly decrease both healthcare costs and also families' negative experiences.

Racial disparities in asthma-related health care use in the National Heart, Lung, and Blood Institute's Severe Asthma Research Program

BACKGROUND

Despite advances in asthma care, disparities persist. Black patients are disproportionally affected by asthma and also have poorer outcomes compared with white patients.

OBJECTIVE

We sought to determine associations between black and white patients and asthma-related health care use, accounting for complex relationships.

METHODS

This study was completed as part of the National Heart, Lung, and Blood Institute's Severe Asthma Research Program, a prospective observational cohort. Between November 2012 and February 2015, it enrolled 579 participants 6 years and older with 1 year of observation time and complete data. Inverse probability of treatment weighting was used to balance racial groups with respect to community and family socioeconomic variables and environmental exposure variables. The primary outcome was emergency department (ED) use for asthma. Secondary outcomes included inhaled corticosteroid use, outpatient physician's office visits for asthma, and asthma-related hospitalization.

RESULTS

Black patients had greater odds of ED use over 1 year (odds ratio, 2.19; 95% CI, 1.43-3.35) but also differed in the majority (>50%) of baseline variables measured. After statistical balancing of the racial groups, the difference between black and white patients with respect to ED use no longer reached the level of significance. Instead, in secondary analyses black patients were less likely to see an outpatient physician for asthma management (adjusted odds ratio, 0.57; 95% CI, 0.38-0.85).

CONCLUSIONS

The disparity in ED use was eliminated after consideration of multiple variables. Social and environmental policies and interventions tailored to black populations with a high burden of asthma are critical to reduction (or elimination) of these disparities.

Neighborhood Risk and Hospital Use for Pediatric Asthma, Rhode Island, 2005-2014

INTRODUCTION

Studies consistently show that children living in poor neighborhoods have worse asthma outcomes. The objective of our study was to assess the association between negative neighborhood factors (ie, neighborhood risk) and pediatric asthma hospital use.

METHODS

This retrospective study used data from children aged 2 to 17 years in a statewide (Rhode Island) hospital network administrative database linked to US Census Bureau data. We defined an asthma visit as an International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code of 493 in any diagnosis field. We used 8 highly correlated measures for each census-block group to construct an index of neighborhood risk. We used maps and linear regression to assess the association of neighborhood risk with average annual census-block-group rates of asthma emergency department visits and hospitalizations. We used multivariable analyses to identify child characteristics and neighborhood risk associated with an asthma revisit, accounting for the child's sociodemographic information, season, and multiple measurements per child.

RESULTS

From 2005 through 2014, we counted 359,195 visits for 146,889 children. Of these, 12,699 children (8.6%) had one or more asthma visits. Linear regression results showed 1.18 (95% confidence interval, 1.06-1.30) more average annual emergency departments visits per 100 children and 0.41 (95% confidence interval, 0.34-0.47) more average annual hospitalizations per 100 children in neighborhoods in the highest-risk index quintile than in neighborhoods in the lowest-risk index quintile.

CONCLUSION

Interventions to improve asthma outcomes among children should move beyond primary care or clinic settings and involve a careful evaluation of social context and environmental triggers.

Pervasive Income-Based Disparities In Inpatient Bed-Day Rates Across Conditions And Subspecialties

Building a culture of health in hospitals means more than participating in community partnerships. It also requires an enhanced capacity to recognize and respond to disparities in utilization patterns across populations. We identified all pediatric hospitalizations at Cincinnati Children's Hospital Medical Center, in the period 2011-16. Each hospitalized child's address was geocoded, allowing us to calculate inpatient bed-day rates for each census tract in Hamilton County, Ohio, across all causes and for specific conditions and pediatric subspecialties. We then divided the census tracts into quintiles based on their underlying rates of child poverty and calculated bed-day rates per quintile. Poorer communities disproportionately bore the burden of pediatric hospital days. If children from all of the county's census tracts spent the same amount of time in the hospital each year as those from the most affluent tracts, approximately twenty-two child-years of hospitalization time would be prevented. Of particular note were "hot spots" in high-poverty census tracts neighboring the hospital, where bed-day rates were more than double the county average. Hospitals that address disparities would benefit from a more comprehensive understanding of the culture of health-a culture that is more cohesive inside the hospital and builds bridges into the community.

The Use of Geographic Data to Improve Asthma Care Delivery and Population Health

The authors examine uses of geographic data to improve asthma care delivery and population health and describe potential practice changes and areas for future research.

Approaches to Link Geospatially Varying Social, Economic, and Environmental Factors with Electronic Health Record Data to Better Understand Asthma Exacerbations

Electronic health record (EHR)-derived data has become an invaluable resource for biomedical research, but is seldom used for the study of the health impacts of social and environmental factors due in part to the unavailability of relevant variables. We describe how EHR-derived data can be enhanced via linking of external sources of social, economic and environmental data when patient-related geospatial information is available, and we illustrate an approach to better understand the geospatial patterns of asthma exacerbation rates in Philadelphia. Specifically, we relate the spatial distribution of asthma exacerbations observed in EHR-derived data to that of known and potential risk factors (i.e., economic deprivation, crime, vehicular traffic, tree cover). Areas of highest risk based on integrated social and environmental data were consistent with an area with increased asthma exacerbations, demonstrating that data external to the EHR can enhance our understanding of negative health-related outcomes.

Associations of Neighborhood-Level Social Determinants of Health with Bacterial Infections in Young, Febrile Infants

OBJECTIVE

To examine the sociodemographic characteristics of one population of young, febrile infants and identify associations between neighborhood-level social determinants of health (SDHs) with bacterial infections.

STUDY DESIGN

This was a retrospective cross sectional study of all infants ≤90 days old with a temperature of ≥38°C who presented in 2014 to the emergency department of an urban children's hospital in a large east coast city. The primary outcome was the presence of a bacterial infection, defined as a positive urine, blood, or cerebrospinal fluid culture that was treated clinically as a pathogen. The home address of each infant was geocoded and linked to neighborhood data based on census tract. Neighborhood-level SDHs included deprivation index, median household income, poverty, childhood poverty, social capital, and crowded housing. Associations were estimated using generalized estimating equations and negative binomial regression analysis. Models were adjusted for age, prematurity, and race/ethnicity.

RESULTS

Of 232 febrile infants, the median age was 54 days, 58% were male, 49% were Hispanic, and 88% had public health insurance; 31 infants (13.4%) had a bacterial infection. In the adjusted analyses, the risk of bacterial infection among infants from neighborhoods with high rates of childhood poverty was >3 times higher (relative risk, 3.16; 95% CI, 1.04-9.6) compared with infants from neighborhoods with low rates of childhood poverty.

CONCLUSIONS

Our findings suggest that SDHs may be associated with bacterial infections in young, febrile infants. If confirmed in subsequent studies, the inclusion of SDHs in predictive tools may improve accuracy in detecting bacterial infections among young, febrile infants.

Operationalizing Population Health Management in Practice

We synthesized practitioner perspectives on how to integrate a community-based program into a healthcare system. Three focus groups and four in-depth interviews in Greene County, Missouri addressed: the population served, collaborations, service delivery design, training, data collection, and funding. Participants identified the following: integration as a way to increase population health outcomes through mutually beneficial partnerships; education and awareness of community-based resources; coordination of services to avoid duplication and maximize niche skills; smooth transitions across programs; and information sharing.