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

Place-Based Opportunity and Well Child Visit Attendance in Early Childhood

BACKGROUND

Lower neighborhood opportunity, measured by the Child Opportunity Index [COI], is associated with increased pediatric morbidity, but is less frequently used to examine longitudinal well child care. We aimed to evaluate associations between the COI and well child visit [WCV] attendance from birth - <36 months of age.

METHODS

The Upstate KIDS population-based birth cohort includes children born 2008-2010 in New York state. The exposure, 2010 census tract COI (very low [VL] to very high [VH]), was linked to children's geocoded residential address at birth. The outcome was attended WCVs from birth - <36 months of age. Parents reported WCVs and their child's corresponding age on questionnaires every 4-6 months. These data were applied to appropriate age ranges for recommended WCVs to determine attendance. Associations were modeled longitudinally as odds of attending visits and as mean differences in proportions of WCVs by COI.

RESULTS

Among 4650 children, 21% (n = 977) experienced VL or low COI. Children experiencing VL (adjusted OR [aOR] 0.68, 95% CI 0.61, 0.76), low (aOR 0.81, 95% CI 0.73, 0.90), and moderate COI (aOR 0.88, 95% CI 0.81, 0.96), compared to VH COI, had decreased odds of attending any WCV. The estimated, adjusted mean proportions of WCV attendance were lower among children experiencing VL (0.45, P < .01), low (0.53, P = .02), moderate (0.53, P = .05), and high (0.54, P = .03) compared to VH COI (0.56).

CONCLUSIONS

Lower COI at birth was associated with decreased WCV attendance throughout early childhood. Reducing barriers to health care access for children experiencing lower COI may advance equitable well child care.

Factors contributing to diabetic ketoacidosis readmission in hospital settings in the United States: A scoping review

BACKGROUND

Hospitalization of patients with DKA creates a significant burden on the US healthcare system. While previous studies have identified multiple potential contributors, a comprehensive review of the factors leading to DKA readmissions within the US healthcare system has not been done. This scoping review aims to identify how access to care, treatment adherence, socioeconomic status, race, and ethnicity impact DKA readmission-related patient morbidity and mortality and contribute to the socioeconomic burden on the US healthcare system. Additionally, this study aims to integrate current recommendations to address this multifactorial issue, ultimately reducing the burden at both individual and organizational levels.

METHODS

The PRISMA-SCR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) was used as a reference checklist throughout this study. The Arksey and O'Malley methodology was used as a framework to guide this review. The framework methodology consisted of five steps: (1) Identify research questions; (2) Search for relevant studies; (3) Selection of studies relevant to the research questions; (4) Chart the data; (5) Collate, summarize, and report the results.

RESULTS

A total of 15 articles were retained for analysis. Among the various social factors identified, those related to sex/gender (n = 9) and age (n = 9) exhibited the highest frequency. Moreover, race and ethnicity (n = 8) was another recurrent factor that appeared in half of the studies. Economic factors were also identified in this study, with patient insurance type having the highest frequency (n = 11). Patient income had the second highest frequency (n = 6). Multiple studies identified a link between patients of a specific race/ethnicity and decreased access to treatment. Insufficient patient education around DKA treatment was noted to impact treatment accessibility. Certain recommendations for future directions were highlighted as recurrent themes across included studies and encompassed patient education, early identification of DKA risk factors, and the need for a multidisciplinary approach using community partners such as social workers and dieticians to decrease DKA readmission rates in diabetic patients.

CONCLUSION

This study can inform future policy decisions to improve the accessibility, affordability, and quality of healthcare through evidence-based interventions for patients with DM following an episode of DKA.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Multicentre, retrospective cohort study protocol to identify racial and ethnic differences in acute kidney injuries in children and adolescents with diabetic ketoacidosis

INTRODUCTION

Approximately 40% of children with diabetic ketoacidosis (DKA) develop acute kidney injury (AKI), which increases the risk of chronic kidney damage. At present, there is limited knowledge of racial or ethnic differences in diabetes-related kidney injury in children with diabetes. Understanding whether such differences exist will provide a foundation for addressing disparities in diabetes care that may continue into adulthood. Further, it is currently unclear which children are at risk to develop worsening or sustained DKA-related AKI. The primary aim is to determine whether race and ethnicity are associated with DKA-related AKI. The secondary aim is to determine factors associated with sustained AKI in children with DKA.

METHODS AND ANALYSIS

This retrospective, multicentre, cross-sectional study of children with type 1 or type 2 diabetes with DKA will be conducted through the Paediatric Emergency Medicine Collaborative Research Committee. Children aged 2-18 years who were treated in a participating emergency department between 1 January 2020 and 31 December 2023 will be included. Children with non-ketotic hyperglycaemic-hyperosmolar state or who were transferred from an outside facility will be excluded. The relevant predictor is race and ethnicity. The primary outcome is the presence of AKI, defined by Kidney Disease: Improving Global Outcomes criteria. The secondary outcome is 'sustained' AKI, defined as having AKI ≥48 hours, unresolved AKI at last creatinine measurement or need for renal replacement therapy. Statistical inference of the associations between predictors (ie, race and ethnicity) and outcomes (ie, AKI and sustained AKI) will use random effects regression models, accounting for hospital variation and clustering.

ETHICS AND DISSEMINATION

The Institutional Review Board of Children's Minnesota approved this study. 12 additional sites have obtained institutional review board approval, and all sites will obtain local approval prior to participation. Results will be presented at local or national conferences and for publication in peer-reviewed journals.

Child Opportunity Index and clinical characteristics at diabetes diagnosis in youth: type 1 diabetes versus type 2 diabetes

INTRODUCTION

Among youth with type 1 diabetes (T1D), longitudinal poor glycemic control is associated with adverse socioeconomic conditions at the neighborhood level. Child Opportunity Index (COI), which encompasses measures of education, health, environment, social, and economic factors, is associated with obesity in youth but has not been evaluated in youth with new-onset T1D or type 2 diabetes (T2D). We hypothesized that lower COI would be associated with adverse clinical outcomes at diabetes diagnosis, and due to differing risk factors and pathophysiology, that youth with new-onset T2D would have lower COI than youth with T1D.

RESEARCH DESIGN AND METHODS

Retrospective cohort of youth with new-onset diabetes admitted to a large academic pediatric hospital. COI was compared by diabetes type using t-tests and Χ2 tests. Multivariable linear and logistic regression analyses were used to evaluate associations between COI and clinical characteristics, stratified by diabetes type and adjusted for age and sex.

RESULTS

The cohort (n=484) differed in race and age by diabetes type (T1D: n=389; 10.0% black, 81.2% white; age 9.6±0.2 years; T2D: n=95; 44.2% black, 48.4% white; age 14.8±0.3 years). Youth with T2D had lower COI (p<0.001). Low COI was associated with diabetic ketoacidosis in T1D and T2D. Black youth with low COI had the highest hemoglobin A1c among youth with T2D and the highest obesity prevalence among youth with T1D.

CONCLUSIONS

COI is associated with differing characteristics at diagnosis in youth-onset T1D and T2D but is worse among youth with T2D overall. These findings underscore the need to address socioeconomic adversity when designing interventions to reduce T2D risk and to improve outcomes at diabetes diagnosis in youth.

Child Opportunity Index Disparities in Pediatric Surgical Encounters During the Coronavirus 2019 Pandemic

OBJECTIVE

Surgical encounters decreased during the coronavirus disease (COVID-19) pandemic and may have been deferred more in children with impeded health care access related to social/community risk factors. We compared surgery trends before and during the pandemic by Child Opportunity Index (COI).

METHODS

Retrospective analysis of 321,998 elective surgical encounters of children ages 0-to-18 years in 44 US children's hospitals from January 1, 2017 to December 31, 2021. We used auto-regression to compare observed versus predicted encounters by month in 2020-21, modeled from 2017 to 2019 trends. Encounters were compared by COI score (very low, low, moderate, high, very high) based on education, health/environment, and social/economic attributes of the zip code from the children's home residence.

RESULTS

Most surgeries were on the musculoskeletal (28.1%), ear/nose/pharynx (17.1%), cardiovascular (15.1%), and digestive (9.1%) systems; 20.6% of encounters were for children with very low COI, 20.8% low COI, 19.8% moderate COI, 18.6% high COI, and 20.1% very high COI. Reductions in observed volume of 2020-21 surgeries compared with predicted varied significantly by COI, ranging from -11.3% (95% confidence interval [CI] -14.1%, -8.7%) for very low COI to -2.6% (95%CI -3.9%, 0.7%) for high COI. Variation by COI emerged in June 2020, as the volume of elective surgery encounters neared baseline. For 12 of the next 18 months, the reduction in volume of elective surgery encounters was the greatest in children with very low COI.

CONCLUSIONS

Children from very low COI zip codes experienced the greatest reduction in elective surgery encounters during early COVID-19 without a subsequent increase in encounters over time to counterbalance the reduction.

Prevalence of sodium-glucose transporter 2 inhibitor-associated diabetic ketoacidosis in real-world data: A systematic review and meta-analysis

BACKGROUND

The U.S. Food and Drug Administration (FDA) revised the labels of sodium-glucose transporter 2 (SGLT2) inhibitors in December 2015 to inform users regarding the risk of diabetic ketoacidosis (DKA). As more drugs of this class are approved and their indications are expanded, this serious adverse effect has been increasingly reported.

OBJECTIVE

This review evaluated observational studies to inform the prevalence of SGLT2-inhibitor-associated DKA compared with other antihyperglycemic agents.

METHODS

A systematic review was conducted in PubMed and EMBASE until 19 July 2022 (PROSPERO: CRD42022385425). We included published retrospective cohort active comparator/new user (ACNU) and prevalent new user studies assessing SGLT2-inhibitor-associated DKA prevalence in adult patients with type 2 diabetes mellitus (T2DM) against active comparators. We excluded studies which lacked 1:1 propensity score matching. The JBI Checklist for Cohort Studies guided the risk-of-bias assessments. Meta-analysis was conducted based on the inverse variance method in R software.

RESULTS

Sixteen studies with a sample of 2,956,100 nonunique patients met the inclusion criteria. Most studies were conducted in North America (n = 9) and adopted the ACNU design (n = 15). Meta-analysis of 14 studies identified 33% higher DKA risk associated with SGLT2 inhibitors (HR = 1.33, 95% CI: 1.14-1.55, P < 0.01). Meta-regression analysis identified the study location (P = 0.02), analysis principle (P < 0.001), exclusion of chronic comorbidities (P = 0.007), and canagliflozin (P = 0.04) as significant moderator variables.

CONCLUSIONS

Despite limitations related to heterogeneity, generalizability, and misclassification, the results of this study show that SGLT2 inhibitors increase the prevalence of DKA among adult T2DM patients in the real world. The findings supplement evidence from randomized controlled trials (RCTs) and call for continued vigilance.

Reasons for hospitalisation in youth with type 1 diabetes, 2010-2019

AIMS

To determine the incidence of hospitalisation for all diagnoses among Australian youth with type 1 diabetes.

METHODS

We linked Australians aged under 20 years with type 1 diabetes on the National Diabetes Services Scheme (n = 45,685) to hospital admission data from 2010 to 2019. We determined relative risks (RR) of hospitalisation among those with type 1 diabetes in the states of Victoria and Queensland (n = 21,898) compared to the general population for 2010-2017 using Poisson regression.

RESULTS

Australian youth with type 1 diabetes had increased risk for almost all reasons for hospitalisation compared to the general population, especially infections such as anogenital herpesviral infections (RR 54.83, 95% CI 33.21-90.53), and mental health disorders including personality disorders (RR 9.70, 95% CI 8.02-11.72). Among those with type 1 diabetes, over 60% of hospitalisations were directly related to diabetes, almost half of which were for ketoacidosis. Approximately 15% of ketoacidosis admissions occurred within 3 months of diabetes diagnosis. One quarter of those with admissions for ketoacidosis were readmitted for ketoacidosis within 12 months. Residence in areas of high socio-economic disadvantage was an independent risk factor for admission and readmission for ketoacidosis.

CONCLUSIONS

Youth with type 1 diabetes are susceptible to a wide range of complications. Clinicians should consider screening and prevention for conditions such as infections and mental health disorders. Targeted support and education around glycaemic management should be considered in those at high risk for ketoacidosis admission including those living in areas of high socio-economic disadvantage.

Interventions Across the Translational Research Spectrum: Addressing Disparities Among Racial and Ethnic Minoritized Youth with Type 1 Diabetes

Racial and ethnic minoritized youth with type 1 diabetes (T1D) are at elevated risk for health disparities. Few intervention studies have been conducted for these youth and evidence to support best practices to address their needs is lacking. Existing evidence supports the use of brief trials of diabetes technology with structured support from clinic staff, culturally tailored interventions such as language-congruent clinical care, and use of community health workers as promising directions to improve health outcomes. Clinicians and researchers should work collaboratively with community members to improve the quality of T1D intervention science for racial and ethnic minoritized youth.

Neighborhood Conditions and Resources in Mid-Childhood and Dampness and Pests at Home in Adolescence

OBJECTIVE

To examine prospectively associations of neighborhood opportunity with the presence of dampness or pests in the home environment during early adolescence.

STUDY DESIGN

We geocoded residential addresses from 831 children (mean age 7.9 years, 2007-2011) in the Project Viva cohort. We linked each address with census tract-level Child Opportunity Index scores, which capture neighborhood conditions and resources influencing child heath including educational, health, environmental, and socioeconomic factors. Our primary outcome was presence of dampness or pests in the home in early adolescence (mean age 13.2 years, 2013-2016). Secondary outcomes included current asthma and lung function testing results. Mixed-effects regression models estimated longitudinal associations of Child Opportunity Index scores with outcomes, adjusting for individual and family sociodemographics.

RESULTS

Children residing in neighborhoods with greater overall opportunity were less likely to live in homes with dampness or pests approximately 5 years later (aOR 0.85 per 20-unit increase in Child Opportunity Index percentile rank, 95% CI 0.73-0.998). We observed no significant associations in adjusted models of overall neighborhood opportunity with current asthma or lung function. Lower school poverty or single-parent households and greater access to healthy food or economic resource index were associated with lower odds of a home environment with dampness or pests.

CONCLUSIONS

More favorable neighborhood conditions in mid-childhood were associated with lower likelihood of living in a home with dampness or pests in the early adolescence.

Racial Disparities in Diabetes Technology Adoption and Their Association with HbA1c and Diabetic Ketoacidosis

Aim

Poorer glycemic control and higher diabetic ketoacidosis (DKA) rates are seen in racial/ethnic minorities with type 1 diabetes (T1D). Use of diabetes technologies such as continuous glucose monitors (CGM), continuous subcutaneous insulin infusion (CSII) and automated insulin delivery (AID) systems has been shown to improve glycemic control and reduce DKA risk. We examined race/ethnicity differences in diabetes technology use and their relationship with HbA1c and DKA.

Methods

Data from patients aged ≥12 years with T1D for ≥1 year, receiving care from a single diabetes center, were examined. Patients were classified as Non-Hispanic White (n=3945), Non-Hispanic Black (Black, n=161), Hispanic (n=719), and Multiracial/Other (n=714). General linear models and logistic regression were used.

Results

Black (OR=0.22, 0.15-0.32) and Hispanic (OR=0.37, 0.30-0.45) patients were less likely to use diabetes technology. This disparity was greater in the pediatric population (p-interaction=0.06). Technology use associated with lower HbA1c in each race/ethnic group. Among technology users, AID use associated with lower HbA1c compared to CGM and/or CSII (HbA1c of 8.4% vs 9.2%, respectively), with the greatest difference observed for Black adult AID users. CSII use associated with a lower odds of DKA in the past year (OR=0.73, 0.54-0.99), a relationship that did not vary by race (p-interaction =0.69); this inverse association with DKA was not observed for CGM or AID.

Conclusion

Disparities in diabetes technology use, DKA, and glycemic control were apparent among Black and Hispanic patients with T1D. Differences in technology use ameliorated but did not fully account for disparities in HbA1c or DKA.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

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.

Association of Neighborhood Conditions and Resources for Children With Life Expectancy at Birth in the US

Importance

To address inequities in life expectancy, we must understand the associations of modifiable socioeconomic and structural factors with life expectancy. However, the association of limited neighborhood resources and deleterious physical conditions with life expectancy is not well understood.

Objective

To evaluate the association of community social and economic conditions and resources for children with life expectancy at birth.

Design, Setting, and Participants

This cross-sectional study examined neighborhood child opportunity and life expectancy using data from residents of 65 662 US Census tracts in 2015. The analysis was conducted from July 6 to October 1, 2021.

Exposures

Neighborhood conditions and resources for children in 2015.

Main Outcomes and Measures

The primary outcome was life expectancy at birth at the Census tract level based on data from the US Small-Area Life Expectancy Estimates Project (January 1, 2010, to December 31, 2015). Neighborhood conditions and resources for children were quantified by Census tract Child Opportunity Index (COI) 2.0 scores for 2015. This index captures community conditions associated with children's health and long-term outcomes categorized into 5 levels, from very low to very high opportunity. It includes 29 indicators in 3 domains: education, health and environment, and social and economic factors. Mixed-effects and simple linear regression models were used to estimate the associations between standardized COI scores (composite and domain-specific) and life expectancy.

Results

The study included residents from 65 662 of 73 057 US Census tracts (89.9%). Life expectancy at birth across Census tracts ranged from 56.3 years to 93.6 years (mean [SD], 78.2 [4.0] years). Life expectancy in Census tracts with very low COI scores was lower than life expectancy in Census tracts with very high COI scores (-7.06 years [95% CI, -7.13 to -6.99 years]). Stepwise associations were observed between COI scores and life expectancy. For each domain, life expectancy was shortest in Census tracts with very low compared with very high COI scores (education: β = -2.02 years [95% CI, -2.12 to -1.92 years]); health and environment: β = -2.30 years [95% CI, -2.41 to -2.20 years]; social and economic: β = -4.16 years [95% CI, -4.26 to -4.06 years]). The models accounted for 41% to 54% of variability in life expectancy at birth (R2 = 0.41-0.54).

Conclusions and Relevance

In this study, neighborhood conditions and resources for children were significantly associated with life expectancy at birth, accounting for substantial variability in life expectancy at the Census tract level. These findings suggest that community resources and conditions are important targets for antipoverty interventions and policies to improve life expectancy and address health inequities.