Neighborhood Poverty and Child Health: Investing in Communities to Improve Childhood Opportunity and Well-Being

Neighborhood poverty and hopelessness in older adults: The mediating role of perceived neighborhood disorder

Hopelessness is one of the strongest predictors of health and mortality, particularly for older populations. Prior research has found associations between individual-level socioeconomic factors and hopelessness, but less is known about the potential importance of neighborhood-level socioeconomic contexts for hopelessness. In particular, the role of neighborhood disorder as a potential explanatory factor for poor psychological well-being remains underexplored. This study investigates whether neighborhood poverty is associated with a sense of hopelessness among older adults and if perceived neighborhood disorder mediates the link between poverty and hopelessness. Individual-level data came from the 2014/2016 Health and Retirement Study and were merged with neighborhood-level poverty data from the 2012-2016 and 2014-2018 American Community Survey. Linear regression models were employed to examine the association between neighborhood poverty, disorder, and hopelessness. Respondents in neighborhoods with higher poverty levels reported a greater sense of hopelessness (b = 0.11, 95% CI = 0.08, 0.15, p < .001), controlling for individual-level sociodemographic and health characteristics. Greater perceived neighborhood disorder was also positively associated with a sense of hopelessness (b = 0.16, 95%CI = 0.14, 0.18). When we included both neighborhood poverty and disorder in the same model, the association between neighborhood poverty and hopelessness was reduced by two thirds (b = 0.04, 95%CI = 0.0003, 0.07), while the association between perceived disorder and hopelessness remained robust (b = 0.16, 95%CI = 0.14, 0.18). We further examined the formal mediating effects of neighborhood disorder using structural equation modeling. The total effect of neighborhood poverty on hopelessness was significant (β = 0.08, bootstrapped 95%CI = 0.05, 0.10). The direct effect of neighborhood poverty was not significant (β = 0.02, bootstrapped 95% CI = -0.01, 0.04), while the indirect effect through neighborhood disorder was significant (β = 0.06, bootstrapped 95% CI = 0.05, 0.07). Neighborhood disorder mediated 75% of the association between neighborhood poverty and hopelessness. In light of these findings, improving neighborhood conditions, such as signs of disorder, may alleviate feelings of hopelessness in older adults residing in impoverished neighborhoods.

Neighborhood environments and psychological distress 6-years later: results from the San Diego HCHS/SOL community and surrounding areas study

PURPOSE

The current study examined associations of social and built features of neighborhood environments with psychological distress 6 years later and whether these associations were explained by stress and social factors, among Hispanic/Latino adults from the HCHS/SOL and SOL CASAS Ancillary Study.

METHODS

In the SOL CASAS Ancillary Study, HCHS/SOL San Diego participants' baseline (2008-2011) home addresses were geocoded, neighborhoods were defined using 800 m radial buffers, and variables representing neighborhood socioeconomic deprivation, social disorder, walkability, and greenness were created. Psychological distress (anxiety and depression symptoms) and proposed pathway variables chronic stress, social support, and family cohesion were assessed at HCHS/SOL Visit 2 (2014-2017).

RESULTS

On average, the population (n = 2785) was 39.47 years old, 53.3% were women, and 92.3% were of Mexican heritage. In complex survey regression analyses that accounted for sociodemographic covariates, the complex sampling design, and sample weights, greater baseline neighborhood socioeconomic deprivation predicted lower family cohesion at Visit 2 (B = -0.99, 95% CI [-1.97, -0.06]). Path models showed indirect associations of baseline neighborhood socioeconomic deprivation with Visit 2 psychological distress through family cohesion (MacKinnon's 95% CI depression [0.001, 0.026]; 3.9% of the variance accounted for; anxiety [0.00071, 0.019] 3.0% of the variance accounted for).

CONCLUSIONS

Among adults of mostly Mexican heritage from the San Diego, CA area, neighborhood deprivation indirectly predicted later psychological distress through family cohesion. No other effects of neighborhood variables were observed.

Comparing Social Disadvantage Indices in Pediatric Populations

BACKGROUND AND OBJECTIVES

Place-based social disadvantage indices are increasingly used to promote health equity, but vary in design. We compared associations between 3 commonly used indices (Social Vulnerability Index [SVI], Area Deprivation Index [ADI], and Child Opportunity Index [COI]) and infant well-child check (WCC) attendance and adolescent obesity. We hypothesized that the COI would have the strongest association with child health outcomes.

METHODS

We conducted a cross-sectional analysis of 2014-2019 Duke University Health System electronic health record data. Eligible participants were ≤18 years old, had outpatient encounters during the study period, and resided in Durham County, North Carolina. We aggregated indices into deciles; higher deciles represented greater disadvantage. Multivariable logistic regression models quantified the association between each index and infant WCC attendance (ages 0-15 months) and adolescent obesity (11-17 years).

RESULTS

There were 10 175 and 14 961 children in the WCC and obesity cohorts, respectively. All 3 indices were similarly associated with WCCs (SVI odds ratio [OR] 1.10, 95% confidence interval [CI] 1.08-1.12; ADI OR 1.10, 95% CI 1.08-1.12; COI OR 1.12, 95% CI 1.10-1.14) and obesity (SVI OR 1.06, 95% CI 1.04-1.07; ADI OR 1.08, 95% CI 1.06-1.10; COI OR 1.07, 95% CI 1.05-1.08). ORs indicate the increase in the outcome odds for every 1-decile index score increase.

CONCLUSIONS

Higher disadvantage as defined by all 3 indices was similarly associated with adolescent obesity and decreased infant WCC attendance. The SVI, ADI, and COI may be equally suitable for pediatric research, but population and outcome characteristics should be considered when selecting an index.

Examining Patient- and Community-Level Factors Associated with Pediatric Mental Healthcare Access Within a Patient Navigation Program

In 2021, national leaders in the United States declared a "national youth mental health crisis." Still, only 1-in-4 children receive adequate mental healthcare access. Patient Navigator Programs (PNPs) can improve children's referral-to-connection to mental health services. We examined patient- and community-level factors associated with pediatric mental healthcare access. Pediatric Support Services (PSS) is a PNP that triages mental and behavioral health referrals within a large health system in a southeastern state. This study analyzes PSS data from September 2017-March 2023 and Child Opportunity Index 2.0 state-normed zip-code level data to assess social drivers of health estimates. Structural equation modeling was conducted between patient- and community-level factors and connection to mental health services. Overall, 62.7% of children connected to mental health services since PSS' inception. Regardless of SDOH, as children get older, they are more likely to connect with mental health services (β = .053, SE = .010, p < .001). Children with greater number of referral needs are more likely to connect with mental health services (β = .034, SE = .011, p = .002). Further, children who live in communities with higher opportunity levels are more likely to connect with mental health services (β = .016, SE = .008, p = .040), suggesting that children who live in low-income communities experience more barriers to mental healthcare. Social drivers may inform referral practices and tiered navigation support for optimal mental healthcare access among children. Further research should demonstrate the effectiveness of PNPs integrated within healthcare and community-based settings.

Bridging the gaps in pediatric complex healthcare: the case for home nursing care among children with medical complexity

BACKGROUND

Children with medical complexity (CMC) comprise < 1% of the pediatric population, but account for nearly one-third of healthcare expenditures. Further, while CMC account for up to 80% of pediatric inpatient hospital costs, only 2% of Medicaid spending is attributed to home healthcare. As a result, the current health system heavily relies on family caregivers to fill existing care gaps. This study aimed to: (1) examine factors associated with hospital admissions among CMC and (2) contextualize the potential for home nursing care to improve outcomes among CMC and their families in South Carolina (SC).

METHODS

This mixed-methods study was conducted among CMC, their family caregivers, and physicians in SC. Electronic health records data from a primary care clinic within a large health system (7/1/2022-6/30/2023) was analyzed. Logistic regression examined factors associated with hospitalizations among CMC. In-depth interviews (N = 15) were conducted among physicians and caregivers of CMC statewide. Patient-level quantitative data is triangulated with conceptual findings from interviews.

RESULTS

Overall, 39.87% of CMC experienced ≥ 1 hospitalization in the past 12 months. CMC with higher hospitalization risk were dependent on respiratory or neurological/neuromuscular medical devices, not non-Hispanic White, and demonstrated higher healthcare utilization. Interview findings contextualized efforts to reduce hospitalizations, and suggested adaptations related to capacity and willingness to provide complex care for CMC and their families.

CONCLUSIONS

Findings may inform multi-level solutions for accessible, high-quality home nursing care among CMC and their families. Providers may learn from caregivers' insight to emphasize family-centered care practices, acknowledging time and financial constraints while optimizing the quality of medical care provided in the home.

Association of Neighborhood Characteristics and Chronic Pain in Children and Adolescents in the United States

OBJECTIVE

To determine the associations between neighborhood characteristics and chronic pain during childhood and adolescence in the United States, 2020-2021.

METHODS

Cross-sectional analysis of the 2020 and 2021 National Survey of Children's Health. National Survey of Children's Health grouped parents' responses to questions about neighborhood characteristics into 5 categories: neighborhood support, neighborhood safety, school support, neighborhood amenities, and the presence of detracting neighborhood elements. Chronic pain was defined as parents reporting their children had "frequent or chronic difficulty with repeated or chronic physical pain, including headache or other back or body pain during the past 12 months." Multivariable Poisson regression analyses estimated associations between neighborhood characteristics and chronic pain, adjusted for sociodemographic characteristics.

RESULTS

The sample contained 55,387 children (6 to 17 years), weighted to represent 44 million nationally. Children had significantly increased rates of chronic pain if they lived in neighborhoods that were unsupportive, unsafe, had unsafe schools, fewer amenities, and greater numbers of detracting elements ( P <0.0001). After adjusting for covariates, children had significantly increased chronic pain if they lived in neighborhoods that were not supportive (adjusted prevalence rate ratio=1.7 (95% CI: 1.5-1.9, P <0.0001), with similar patterns observed for living in neighborhoods characterized as not safe, that did not have safe schools, with fewer amenities, and/or more detracting elements.

DISCUSSION

Disadvantageous neighborhood characteristics are associated with pediatric chronic pain prevalence. Future research should investigate the underlying mechanisms of this association and guide neighborhood interventions aimed at preventing and decreasing childhood chronic pain and its associated burdens.

Policy solutions to eliminate racial and ethnic child health disparities in the USA

Societal systems act individually and in combination to create and perpetuate structural racism through both policies and practices at the local, state, and federal levels, which, in turn, generate racial and ethnic health disparities. Both current and historical policy approaches across multiple sectors-including housing, employment, health insurance, immigration, and criminal legal-have the potential to affect child health equity. Such policies must be considered with a focus on structural racism to understand which have the potential to eliminate or at least attenuate disparities. Policy efforts that do not directly address structural racism will not achieve equity and instead worsen gaps and existing disparities in access and quality-thereby continuing to perpetuate a two-tier system dictated by racism. In Paper 2 of this Series, we build on Paper 1's summary of existing disparities in health-care delivery and highlight policies within multiple sectors that can be modified and supported to improve health equity, and, in so doing, improve the health of racially and ethnically minoritised children.

How to Achieve a Healthy City: a Scoping Review with Ten City Examples

This scoping review of the literature explores the following question: what systematic measures are needed to achieve a healthy city? The World Health Organization (WHO) suggests 11 characteristics of a healthy city. Measures contributing to these characteristics are extracted and classified into 29 themes. Implementation of some of these measures is illustrated by examples from Freiburg, Greater Vancouver, Singapore, Seattle, New York City, London, Nantes, Exeter, Copenhagen, and Washington, DC. The identified measures and examples indicate that a healthy city is a system of healthy sectors. A discussion section suggests healthy directions for nine sectors in a healthy city. These sectors include transportation, housing, schools, city planning, local government, environmental management, retail, heritage, and healthcare. Future work is advised to put more focus on characteristic 5 (i.e., the meeting of basic needs for all the city's people) and characteristic 10 (i.e., public health and sick care services accessible to all) of a healthy city.

The Built Environment and Pediatric Health

Buildings, parks, and roads are all elements of the "built environment," which can be described as the human-made structures that comprise the neighborhoods and communities where people live, work, learn, and recreate (https://www.epa.gov/smm/basic-information-about-built-environment). The design of communities where children and adolescents live, learn, and play has a profound impact on their health. Moreover, the policies and practices that determine community design and the built environment are a root cause of disparities in the social determinants of health that contribute to health inequity. An understanding of the links between the built environment and pediatric health will help to inform pediatricians' and other pediatric health professionals' care for patients and advocacy on their behalf. This technical report describes the range of pediatric physical and mental health conditions influenced by the built environment, as well as historical and persistent effects of the built environment on health disparities. The accompanying policy statement outlines community design solutions that can improve pediatric health and health equity, including opportunities for pediatricians and the health care sector to incorporate this knowledge in patient care, as well as to play a role in advancing a health-promoting built environment for all children and families.

Neighborhoods and Cardiovascular Health: A Scientific Statement From the American Heart Association

The neighborhoods where individuals reside shape environmental exposures, access to resources, and opportunities. The inequitable distribution of resources and opportunities across neighborhoods perpetuates and exacerbates cardiovascular health inequities. Thus, interventions that address the neighborhood environment could reduce the inequitable burden of cardiovascular disease in disenfranchised populations. The objective of this scientific statement is to provide a roadmap illustrating how current knowledge regarding the effects of neighborhoods on cardiovascular disease can be used to develop and implement effective interventions to improve cardiovascular health at the population, health system, community, and individual levels. PubMed/Medline, CINAHL, Cochrane Library reviews, and ClinicalTrials.gov were used to identify observational studies and interventions examining or targeting neighborhood conditions in relation to cardiovascular health. The scientific statement summarizes how neighborhoods have been incorporated into the actions of health care systems, interventions in community settings, and policies and interventions that involve modifying the neighborhood environment. This scientific statement presents promising findings that can be expanded and implemented more broadly and identifies methodological challenges in designing studies to evaluate important neighborhood-related policies and interventions. Last, this scientific statement offers recommendations for areas that merit further research to promote a deeper understanding of the contributions of neighborhoods to cardiovascular health and health inequities and to stimulate the development of more effective interventions.

The Built Environment and Pediatric Health

Buildings, parks, and roads are all elements of the "built environment," which can be described as the human-made structures that comprise the neighborhoods and communities where people live, work, learn, and recreate (https://www.epa.gov/smm/basic-information-about-built-environment). The design of communities where children and adolescents live, learn, and play has a profound impact on their health. Moreover, the policies and practices that determine community design and the built environment are a root cause of disparities in the social determinants of health that contribute to health inequity. An understanding of the links between the built environment and pediatric health will help to inform pediatricians' and other pediatric health care professionals' care for patients and advocacy on their behalf. This policy statement outlines community design solutions that can improve pediatric physical and mental health, and improve health equity. It describes opportunities for pediatricians and the health care sector to incorporate this knowledge in patient care, as well as to play a role in advancing a health-promoting built environment for all children and families. The accompanying technical report reviews the range of pediatric physical and mental health conditions influenced by the built environment, as well as historical and persistent effects of the built environment on health disparities.

Determining the Impact of Lifestyle on the Health of Primary School Children in Slovenia Through Mixed Membership Focus Groups

Lifestyle choices made by children and adolescents can lead to a variety of health problems. It is therefore crucial to evaluate the state health-related lifestyles of primary school children's and identify areas for improvement. The aim of this study was to investigate the experiences and perspectives of those involved in educating current generations of primary school children about their lifestyle and the associated health implications of their behavior. Four focus groups were formed, comprising parents, primary school teachers, health professionals, and leisure activity teachers, with five participants in each group. Semi-structured interviews were conducted with each group as part of the qualitative research paradigm of the study. The study revealed three central themes, emphasizing the need to promote health and educate children about healthy behaviors, environmental influences, and health literacy. Community nurses need to take a proactive role in promoting school health. Although adults, peers, and the environment exert a strong influence on children's lifestyles, they often fail to live up to their responsibilities and allow harmful habits to form. To instill positive behaviors and an optimistic attitude towards a healthy lifestyle, all those involved in a child's education need to collaborate. Health-related topics should be included or reinforced in primary school curricula, and parents and school staff should receive appropriate training.

Quantifying Associations Between Child Health and Neighborhood Social Vulnerability: Does the Choice of Index Matter?

Importance

Policymakers have increasingly utilized place-based social disadvantage indices to quantify the impacts of place on health and inform equitable resource allocation. Indices vary in design, content, and purpose but are often used interchangeably, potentially resulting in differential assignments of relative disadvantage depending on index choice.

Objective

To compare associations between three commonly used disadvantage indices (Social Vulnerability Index (SVI), Area Deprivation Index (ADI), and Child Opportunity Index (COI)) and two epidemiologically distinct child health outcomes-infant well-child check (WCC) attendance and adolescent obesity.

Design

Cross-sectional analysis of Duke University Health System electronic health record (EHR) data from January 2014 to December 2019.

Participants

Children ≤18 years of age with outpatient encounters between January 2014 and December 2019, and who were Durham County residents were eligible. WCC attendance was assessed for infants ages 0-15 months; obesity was assessed for children ages 11-17 years.

Exposures

2014 Social Vulnerability Index (SVI), 2015 Area Deprivation Index (ADI), and 2015 Child Opportunity Index (COI) 2.0.

Main Outcomes

1) Infant WCC attendance: attending less than the minimum recommended six WCCs in the first 15 months of life, and 2) Adolescent obesity: BMI ≥ the 95th percentile at both the most recent encounter and an encounter within the prior 9-36 months.

Results

Of 10175 patients in the WCC cohort, 20% (n = 2073) had less than six WCCs. Of 14961 patients in the obesity cohort, 20% (n = 2933) had obesity. All three indices were associated with both WCCs (OR for SVI 1.10, 95% CI 1.08-1.12; OR for ADI 1.10, 95% CI 1.08-1.12; OR for COI 1.12, 95% CI 1.10-1.14) and obesity (OR for SVI 1.05, 95% CI 1.04-1.08; OR for ADI 1.08, 95% CI 1.06-1.10; OR for COI 1.07, 95% CI 1.05-1.08).

Conclusions and relevance

Higher social disadvantage as defined by all three indices was similarly associated with both adolescent obesity and decreased infant WCC attendance. While the COI incorporates a broader set of child-specific variables, the SVI and ADI may often be just as suitable for pediatric research. Users should consider population and outcome characteristics when selecting an index.

Healthcare is not about health

Initiatives designed to reduce the disease burden and improve the health of the US population that focus on increasing access to health care have been disappointing. Progress requires multifaceted change. We must first acknowledge that the healthcare system is focused on reversing or modifying disease, not enhancing health. Our conceptualization of the development of ill health and disease must also change. Scientific advances are clarifying the complex interactions among the development of ill health and disease and an individual's behaviors, their microbiota, and their physical, social, and emotional environments. A person's genetic makeup predisposes them to a wide array of disease conditions but is rarely deterministic in and of itself. Factors extrinsic to the individual, including the social determinants of health, play a major role in disease development, often decades later. The complexity of health and disease requires a "team" accountable for the health of our populations, and these teams must be expanded beyond the medical professions. Governmental officials, architects, business leaders, civic organizations, social and neighborhood groups are among the key stakeholders on the health side of the equation. If and when disease does become manifest, then the care part of the healthcare system assumes the larger role. This has major implications for the education of our clinically focused health science students, but also of professional disciplines previously deemed peripheral to health. Simply redoubling our efforts and focusing on our current healthcare system is insufficient to make progress in the health of the populace. One example of a multipronged approach in Allentown, PA is explored in depth.

Reporting of Important Social Determinants of Health in Pediatric Clinical Trials

INTRODUCTION

The objective of this study was to determine the rates and trends in the reporting of preferred language, socioeconomic factors, sexual orientation, and gender identity in published pediatric clinical trials.

METHODS

A cross-sectional study of pediatric clinical trials conducted in the U.S. published from January 1, 2011 through December 31, 2020 in 5 general pediatric and 5 general medical journals with the highest impact factor in their respective fields was performed. Outcomes were reporting of preferred language, socioeconomic factors, sexual orientation, and gender identity. In late 2021, descriptive statistics and logistic regression to understand how reporting of preferred language and socioeconomic factors changed over time were performed.

RESULTS

Of 612 trials, 29.6% (n=181) reported preferred language. Among these, 64.6% (n=117 of 181) exclusively enrolled participants whose preferred language was English. From 2011 to 2020, there was a relative increase in the reporting of preferred language (8.6% per year, 95% CI=1.8, 16.0). Socioeconomic factors were reported in 47.9% (n=293) of trials. There was no significant change in the reporting of socioeconomic factors (8.2% per year, 95% CI= -1.9, 15.1). Only 5.1% (9 of 179) of published trial results among adolescent participants reported any measure of sexual orientation, and 1.1% (2 of 179) reported gender identity.

CONCLUSIONS

Preferred language, socioeconomic factors, sexual orientation, and gender identity were infrequently reported in pediatric clinical trial results despite these characteristics being increasingly recognized as social determinants of health. To achieve more inclusiveness and to reduce unmeasured disparities, these characteristics should be incorporated into routine trial registration, design, funding decisions, and reporting.

Identifying drivers of increasing opioid overdose deaths among black individuals: a qualitative model drawing on experience of peers and community health workers

BACKGROUND

Black individuals in the USA face disproportionate increases in rates of fatal opioid overdose despite federal efforts to mitigate the opioid crisis. The aim of this study was to examine what drives increases in opioid overdose death among Black Americans based on the experience of key stakeholders.

METHODS

Focus groups were conducted with stakeholders providing substance use prevention services in Black communities in St. Louis, MO (n = 14). One focus group included peer advocates and volunteers conducting outreach-based services and one included active community health workers. Focus groups were held at community partner organizations familiar to participants. Data collection was facilitated by an interview guide with open-ended prompts. Focus groups were audio recorded and professionally transcribed. Transcripts were analyzed using grounded theory to abstract line-by-line codes into higher order themes and interpret their associations.

RESULTS

A core theme was identified from participants' narratives suggesting that opioid overdose death among Black individuals is driven by unmet needs for safety, security, stability, and survival (The 4Ss). A lack of The 4Ss was reflective of structural disinvestment and healthcare and social service barriers perpetuated by systemic racism. Participants unmet 4S needs are associated with health and social consequences that perpetuate overdose and detrimentally impact recovery efforts. Participants identified cultural and relationship-based strategies that may address The 4Ss and mitigate overdose in Black communities.

CONCLUSIONS

Key stakeholders working in local communities to address racial inequities in opioid overdose highlighted the importance of upstream interventions that promote basic socioeconomic needs. Local outreach efforts utilizing peer services can provide culturally congruent interventions and promote harm reduction in Black communities traditionally underserved by US health and social systems.

Association of Neighborhood Social Context and Perceived Stress Among Mothers of Young Children

BACKGROUND

Chronic parental stress may negatively impact health among both parents and children. Adverse neighborhood social conditions like crime may increase stress while a supportive neighborhood may buffer stress and promote well-being. Our objective was to examine associations between neighborhood social factors and stress among mothers of young children.

METHODS

We surveyed 300 mothers/female caregivers of Medicaid-enrolled 2 to 4-year-old children in Philadelphia. Maternal stress was measured via the 10-item Perceived Stress Scale (range 0-40). Mothers' perceived neighborhood safety and collective efficacy were assessed using validated scales. Addresses were geocoded to link census tract-level violent crime rates. We used multivariable linear regression to examine associations of neighborhood safety, collective efficacy, and crime with maternal stress, adjusted for demographics, household socioeconomic status, and neighborhood poverty.

RESULTS

Among mothers (mean age 31, 60% Black/African American), higher perceived neighborhood safety and collective efficacy were associated with lower stress scores after adjustment for covariates. Each 1-point increase (on a 5-point scale) in perceived neighborhood safety was associated with a 2.30-point decrease in maternal stress (95% CI: -3.07, -1.53). Similarly, each 1-point increase in perceived collective efficacy was associated with a 3.08-point decrease in maternal stress (95% CI: -4.13, -2.02). Police-recorded violent crime rates were not associated with maternal stress.

CONCLUSION

Mothers of young children who perceive their neighborhood social environment more favorably report less stress compared to those who feel their neighborhood environment is less safe and cohesive. Future work is warranted to investigate whether interventions that increase perceived neighborhood safety and collective efficacy reduce stress.

Distribution of Emergency Department Encounters and Subsequent Hospital Admissions for Children by Child Opportunity Index

OBJECTIVE

To evaluate differences in emergency department (ED) utilization and subsequent admission among children by Child Opportunity Index (COI).

METHODS

We performed a cross-sectional study of pediatric (<18 years) encounters to 194 EDs in Illinois from 2016 to 2020. Each encounter was assigned to quntiles of COI 2.0 by postal code. We described the difference in the percent of encounters between lower (Very Low and Low) and higher (Very High and High) COI overall and among diagnoses with overrepresentation from lower COI groups. We evaluated the association of diagnosis with COI in ordinal models adjusted for demographics.

RESULTS

There were 4,653,026 eligible ED encounters classified by COI as Very Low (28.6%), Low (24.8%), Moderate (20.3%), High (15.6%), and Very High (10.8%) (difference between low and high COI encounters 27.0%). Diagnoses with the greatest difference between low and high COI were eye infection, upper respiratory tract infections, and cough. The COI distribution for children admitted from the ED (n = 140,298) was 29.1% Very Low, 19.3% Low, 18.2% Moderate, 17.7% High, and 15.7% Very High (percent difference 15.1%). Diagnoses with the greatest differences between low and high COI among admitted patients were sickle cell crisis, asthma, and influenza. All ED diagnoses and 7/12 admission diagnoses were associated with lower COI in multivariable ordinal models.

CONCLUSIONS

Children from lower COI areas are overrepresented in ED and inpatient encounters overall and within certain diagnosis groups. Further research is required to examine how health outcomes may be influenced by the structural and contextual characteristics of a child's neighborhood.

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.

Association of Neighborhood Resources and Race and Ethnicity With Readmissions for Diabetic Ketoacidosis at US Children's Hospitals

Importance

The Child Opportunity Index 2.0 (COI) assesses neighborhood resources and conditions that influence health. It is unclear whether the COI scores are associated with health outcomes by race and ethnicity among children with type 1 diabetes (T1D).

Objective

To determine whether COI categories are associated with diabetes-related outcomes by race and ethnicity, including readmissions for diabetic ketoacidosis (DKA) and co-occurring acute kidney injury (AKI) or cerebral edema (CE).

Design, Setting, and Participants

This cross-sectional study included children discharged with a primary diagnosis of T1D with DKA between January 1, 2009, and December 31, 2018. Merged data were obtained from the Pediatric Health Information System and COI. Participants included children and adolescents younger than 21 years with an encounter for DKA. Data were analyzed from April 29, 2021, to January 5, 2022.

Exposures

Neighborhood opportunity, measured with the COI as an ordered, categorical score (where a higher score indicates more opportunity), and race and ethnicity.

Main Outcomes and Measures

The primary outcome was readmission for DKA within 30 and 365 days from an index visit. Secondary outcomes included the proportion of encounters with AKI or CE. Mixed-effects logistic regression was used to generate probabilities of readmission, AKI, and CE for each quintile of COI category by race and ethnicity.

Results

A total of 72 726 patient encounters were identified, including 38 924 (53.5%) for girls; the median patient age was 13 (IQR, 9-15) years. In terms of race and ethnicity, 600 (0.8%) of the encounters occurred in Asian patients, 9969 (13.7%) occurred in Hispanic patients, 16 876 (23.2%) occurred in non-Hispanic Black (hereinafter Black) patients, 40 129 (55.2%) occurred in non-Hispanic White (hereinafter White) patients, and 5152 (7.1%) occurred in patients of other race or ethnicity. The probability of readmission within 365 days was significantly higher among Black children with a very low COI category compared with Hispanic children (risk difference, 7.8 [95% CI, 6.0-9.6] percentage points) and White children (risk difference, 7.5 [95% CI, 5.9-9.1] percentage points) at the same COI category. Similar differences were seen for children with very high COI scores and across racial groups. The COI category was not associated with AKI or CE. However, race and ethnicity constituted a significant factor associated with AKI across all COI categories. The probability of AKI was 6.8% among Black children compared with 4.2% among Hispanic children (risk difference, 2.5 [95% CI, 1.7-3.3] percentage points) and 4.8% among White children (risk difference, 2.0 [95% CI, 1.3-2.6] percentage points).

Conclusions and Relevance

These results suggest that Black children with T1D experience disparities in health outcomes compared with other racial and ethnic groups with similar COI categories. Measures to prevent readmissions for DKA should include interventions that target racial disparities and community factors.

The Influence of the Electronic Health Record on Achieving Equity and Eliminating Health Disparities for Children

The electronic health record (EHR) has been heralded as a transformative approach to modernizing health care and advancing health equity. Access to the EHR can facilitate shared clinical decision-making and improved communication with patients, families, and among health care providers. Recent legislative and regulatory efforts have been passed to increase the transparency as well as the initiatives to increase the meaningful use of the EHR. Yet despite these well-intended efforts, challenges to addressing health equity through the EHR persist. This article reviews three distinct challenges to addressing health equity related to the EHR. We discuss (1) both the implicit and explicit bias that exist in EHR documentation, (2) the gaps that remain between screening for social determinants of health and the effective inclusion and billing of that screening into the EHR, and (3) the disparities that exist with the use of patient portals. Addressing these three areas will enhance the opportunities to advance health equity through the use of the EHR and bring us one step closer to eliminating health disparities in pediatric health care. [Pediatr Ann. 2022;51(3):e112-e117.].