Development of a Health Disparities Index: Proof of Concept with Chest Radiography in Asthma.

OBJECTIVES: To develop a tool for quantifying health disparity (Health Disparity Index[HDI]) and explore hospital variation measured by this index using chest radiography (CXR) in asthma as the proof of concept. STUDY DESIGN: This was a retrospective cohort study using the Pediatric Health Information System database including children with asthma between 5 and 18 years old. Inpatient and emergency department (ED) encounters from January 1, 2017, to December 31, 2018, with low or moderate severity were included. Exclusions included hospitals with <10 cases in any racial/ethnic group. The HDI measured variation in CXR use among children with asthma based on race/ethnicity. The HDI was calculated as the absolute difference between maximum and minimum percentages of CXR use (range = 0-100) when there was statistical evidence that the percentages were different. RESULTS: Data from 36 hospitals included 16 744 inpatient and 75 805 ED encounters. Overall, 19.7% of encounters had a CXR (34.3% for inpatient; 16.5% for ED). In inpatient encounters, 47.2% (17/36) of hospitals had a significant difference in imaging across racial/ethnic groups. Of these, the median hospital-level HDI was 19.4% (IQR 13.5-20.1). In ED encounters, 78.8% (28/36) of hospitals had a statistically significant difference in imaging across racial/ethnic groups, with a median hospital-level HDI of 10.2% (IQR 8.3-14.1). There was no significant association between the inpatient HDI and ED HDI (P = .46). CONCLUSIONS: The HDI provides a practical measure of disparity. To improve equity in healthcare, metrics are needed that are intuitive, accurate, usable, and actionable. Next steps include application of this index to other conditions.

Hospitalization Outcomes for Rural Children with Mental Health Conditions.

OBJECTIVE: To identify where rural children with mental health conditions are hospitalized and to determine differences in outcomes based on location of hospitalization. STUDY DESIGN: This is a retrospective cohort analysis of US rural children aged 0-18 years with a mental health hospitalization between January 1, 2014, and November 30, 2014, using the 2014 Agency for Healthcare Research and Quality's Nationwide Readmissions Database. Hospitalizations for rural children were categorized by children's hospitals, metropolitan non-children's hospitals, or rural hospitals. Associations between hospital location and outcomes were assessed with logistic (readmission) and negative binomial regression (length of stay [LOS]) models. Classification and regression trees (CART) were used to describe the characteristics of most common hospitalizations at a rural hospital. RESULTS: Of 21 666 mental health hospitalizations of rural children, 20.6% were at rural hospitals. After adjustment for clinical and demographic characteristics, LOS was higher at metropolitan non-children's and children's hospitals compared with rural hospitals (LOS: adjusted rate ratio [aRR], 1.35 [95% CI 1.29-1.41] and 1.33 [95% CI, 1.25-1.41]; P < .01 for all). The 30-day readmission was lower at metropolitan non-children's and children's hospitals compared with rural hospitals (aOR, 0.73 [95% CI, 0.63-0.84] and 0.59 [95% CI, 0.48-0.71]; P < .001 for all). Adolescent males living in poverty with externalizing behavior disorder had the highest percentage of hospitalization at rural hospitals (69.4%). CONCLUSIONS: Although hospitalizations at children's and metropolitan non-children's hospitals were longer, patient outcomes were more favorable.

Urban-Rural Residence and Child Physical Abuse Hospitalizations: A National Incidence Study.

OBJECTIVE: To determine if child physical abuse hospitalization rates vary across urban-rural regions overall and after accounting for race/ethnicity and poverty demographics. STUDY DESIGN: This was a retrospective cross-sectional study of black, Hispanic, and non-Hispanic white children <5 years of age living in all US counties. US counties were classified as central metro, fringe/small metro, and rural. Incidence rates were calculated using child physical abuse hospitalization counts from the 2012 Kids' Inpatient Database and population statistics from the 2012 American Community Survey. Counties' race/ethnicity demographics and percent of children living in poverty were used to adjust rates. RESULTS: We identified 3082 child physical abuse hospitalizations occurring among 18.2 million children. Neither crude nor adjusted overall rates of child physical abuse hospitalizations varied significantly across the urban-rural spectrum. When stratified by race/ethnicity, crude child physical abuse hospitalization rates decreased among black children 29.1% (P = .004) and increased among white children 25.6% (P = .001) from central metro to rural counties. After adjusting for poverty, only rates among black children continued to vary significantly, decreasing 34.8% (P = .001) from central metro to rural counties. Rates were disproportionately higher among black children compared with white children and their disproportionality increased with population density, even after poverty adjustment. Rates among Hispanic children were disproportionately lower compared with white children in nearly all urban-rural categories. CONCLUSIONS: Our results suggest that urban black children have unique exposures, outside of poverty, increasing their risk for child physical abuse hospitalization. Identifying and addressing these unique urban exposures may aid in reducing black-white disproportionalities in child physical abuse.

Adding Social Determinant Data Changes Children's Hospitals' Readmissions Performance.

OBJECTIVES: To determine whether social determinants of health (SDH) risk adjustment changes hospital-level performance on the 30-day Pediatric All-Condition Readmission (PACR) measure and improves fit and accuracy of discharge-level models. STUDY DESIGN: We performed a retrospective cohort study of all hospital discharges meeting criteria for the PACR from 47 hospitals in the Pediatric Health Information database from January to December 2014. We built four nested regression models by sequentially adding risk adjustment factors as follows: chronic condition indicators (CCIs); PACR patient factors (age and sex); electronic health record-derived SDH (race, ethnicity, payer), and zip code-linked SDH (families below poverty level, vacant housing units, adults without a high school diploma, single-parent households, median household income, unemployment rate). For each model, we measured the change in hospitals' readmission decile-rank and assessed model fit and accuracy. RESULTS: For the 458 686 discharges meeting PACR inclusion criteria, in multivariable models, factors associated with higher discharge-level PACR measure included age <1 year, female sex, 1 of 17 CCIs, higher CCI count, Medicaid insurance, higher median household income, and higher percentage of single-parent households. Adjustment for SDH made small but significant improvements in fit and accuracy of discharge-level PACR models, with larger effect at the hospital level, changing decile-rank for 17 of 47 hospitals. CONCLUSIONS: We found that risk adjustment for SDH changed hospitals' readmissions rate rank order. Hospital-level changes in relative readmissions performance can have considerable financial implications; thus, for pay for performance measures calculated at the hospital level, and for research associated therewith, our findings support the inclusion of SDH variables in risk adjustment.

ICD Social Codes: An Underutilized Resource for Tracking Social Needs.

BACKGROUND: Social determinants of health (SDH) data collected in health care settings could have important applications for clinical decision-making, population health strategies, and the design of performance-based incentives and penalties. One source for cataloging SDH data is the International Statistical Classification of Diseases and Related Health Problems (ICD). OBJECTIVE: To explore how SDH are captured with ICD Ninth revision SDH V codes in a national inpatient discharge database. MATERIALS AND METHODS: Data come from the 2013 Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample, a national stratified sample of discharges from 4363 hospitals from 44 US states. We estimate the rate of ICD-9 SDH V code utilization overall and by patient demographics and payer categories. We additionally estimate the rate of SDH V code utilization for: (a) the 5 most common reasons for hospitalization; and (b) the 5 conditions with the highest rates of SDH V code utilization. RESULTS: Fewer than 2% of overall discharges in the National Inpatient Sample were assigned an SDH V code. There were statistically significant differences in the rate of overall SDH V code utilization by age categories, race/ethnicity, sex, and payer (all P<0.001). Nevertheless, SDH V codes were assigned to <7% of discharges in any demographic or payer subgroup. SDH V code utilization was highest for major diagnostic categories related to mental health and alcohol/substance use-related discharges. CONCLUSIONS: SDH V codes are infrequently utilized in inpatient settings for discharges other than those related to mental health and alcohol/substance use. Utilization incentives will likely need to be developed to realize the potential benefits of cataloging SDH information.

Socioeconomic Status and Hospitalization Costs for Children with Brain and Spinal Cord Injury.

OBJECTIVE: To determine if household income is associated with hospitalization costs for severe traumatic brain injury (TBI) and spinal cord injury (SCI). STUDY DESIGN: Retrospective cohort study of inpatient, nonrehabilitation hospitalizations at 43 freestanding children's hospitals for patients <19 years old with unintentional severe TBI and SCI from 2009-2012. Standardized cost of care for hospitalizations was modeled using mixed-effects methods, adjusting for age, sex, race/ethnicity, primary payer, presence of chronic medical condition, mechanism of injury, injury severity, distance from residence to hospital, and trauma center level. Main exposure was zip code level median annual household income. RESULTS: There were 1061 patients that met inclusion criteria, 833 with TBI only, 227 with SCI only, and 1 with TBI and SCI. Compared with those with the lowest-income zip codes, patients from the highest-income zip codes were more likely to be older, white (76.7% vs 50.4%), have private insurance (68.9% vs 27.9%), and live closer to the hospital (median distance 26.7 miles vs 81.2 miles). In adjusted models, there was no significant association between zip code level household income and hospitalization costs. CONCLUSIONS: Children hospitalized with unintentional, severe TBI and SCI showed no difference in standardized hospital costs relative to a patient's home zip code level median annual household income. The association between household income and hospitalization costs may vary by primary diagnosis.

Children's Hospital Resource Utilization During the 2022 Viral Respiratory Surge.

OBJECTIVES: Multiple viral respiratory epidemics occurred concurrently in 2022 but their true extent is unclear. To aid future surge planning efforts, we compared epidemiology and resource utilization with prepandemic viral respiratory seasons in 38 US children's hospitals. METHODS: We performed a serial cross-sectional study from October 2017 to March 2023. We counted daily emergency department (ED), inpatient, and ICU volumes; daily surgeries; viral tests performed; the proportion of ED visits resulting in revisit within 3 days; and proportion of hospitalizations with a 30-day readmission. We evaluated seasonal resource utilization peaks using hierarchical Poisson models. RESULTS: Peak volumes in the 2022 season were 4% lower (95% confidence interval [CI] -6 to -2) in the ED, not significantly different in the inpatient unit (-1%, 95% CI -4 to 2), and 8% lower in the ICU (95% CI -14 to -3) compared with each hospital's previous peak season. However, for 18 of 38 hospitals, their highest ED and inpatient volumes occurred in 2022. The 2022 season was longer in duration than previous seasons (P < .02). Peak daily surgeries decreased by 15% (95% CI -20 to -9) in 2022 compared with previous peaks. Viral tests increased 75% (95% CI 69-82) in 2022 from previous peaks. Revisits and readmissions were lowest in 2022. CONCLUSIONS: Peak ED, inpatient, and ICU volumes were not significantly different in the 2022 viral respiratory season compared with earlier seasons, but half of hospitals reached their highest volumes. Research on how surges impact boarding, transfer refusals, and patient outcomes is needed as regionalization reduces pediatric capacity.

Spending on public benefit programs and exposure to adverse childhood experiences.

BACKGROUND: Adverse childhood experiences are associated with poverty, and public benefit programs are increasingly used as primary prevention for negative child outcomes. OBJECTIVE: To estimate the association between spending on benefit programs and cumulative exposure to ACEs among children. PARTICIPANTS AND SETTING: Children aged 0-17 years in the United States during 2016-17 as reported in National Survey of Children's Health. METHODS: We examined the sum of state and federal spending on 5 categories of public benefit programs at the state-level. The primary exposure was mean annual spending per person living below the Federal poverty limit across 2010-2017 Federal fiscal years. The primary outcome was children <18 years old having ever been exposed to ≥ 4 ACEs. RESULTS: Nationally, 5.7 % (95 % confidence interval [CI] 5.3 % - 6.0 %) of children had exposure to ≥ 4 ACEs. After adjustment for children's race and ethnicity, total spending on benefit programs was associated with lower exposure to ≥ 4 ACEs (odds 0.96 [95 % CI: 0.95, 0.97]; p < 0.001). Increased spending in each individual benefit category was also associated with decreased cumulative ACEs exposure (all p < 0.05). Inverse associations were largely consistent when children were stratified by race and ethnicity and income strata. CONCLUSIONS: Investments in public benefit programs may not only decrease poverty but also have broad positive effects on near- and long-term child well-being beyond the programs' stated objectives. Findings support federal and state efforts to prioritize families' economic stability as part of a public health model to prevent ACEs.

Medicaid Expenditures among Children with Documented Obesity.

Background: Obesity rates continue to rise among children, but knowledge regarding medical expenditures of Medicaid enrollees with documented obesity is lacking. We aim to describe Medicaid expenditure patterns among children with documented obesity and determine the degree to which specific clinical characteristics and conditions contribute to high expenditures. Methods: We performed a retrospective cross-sectional analysis of children aged 2-17 years with a diagnosis code of obesity continuously enrolled in the 2017 Medicaid MarketScan database. Children were grouped based on annual expenditure percentiles: <80th, 80 to <95th, 95 to <99th, and ≥99th. Inpatient, outpatient, and pharmacy expenditures were analyzed. Covariates included demographics, common obesity comorbid conditions (e.g., hypertension), complex chronic conditions (CCCs), and mental health conditions (MHCs). Logistic regression assessed demographic and clinical characteristics associated with high-spending groups (≥95th%). Results: We identified 300,286 children with a diagnosis of obesity. The 1% of children with the highest spending accounted for 25.4% of annual expenditures among children with documented obesity. Annual expenditures in the highest spending groups were driven primarily by inpatient and outpatient mental health services. Characteristics associated with high-spending groups included the following: age 12-17 years, obesity comorbid conditions, and having ≥1 CCC or MHC. These associations increased with increasing number of CCCs or MHCs. Conclusions: Inpatient and outpatient mental health expenditures made up a large proportion of spending among Medicaid-enrolled children with documented obesity. Important drivers of cost in this population were medical complexity and comorbid MHCs. Future research is needed to determine if some of these costs are avoidable in children with obesity.

Enhancing Physician Advocacy Through Collaboration With Government Relations: Report From the Health Policy Scholars Program.

OBJECTIVE: To explore barriers, facilitators, and benefits of collaboration between academic pediatricians and institutional offices of government relations (OGR) to enhance policy advocacy efforts. METHODS: The Academic Pediatric Associations' Health Policy Scholars met with the government relations team in their affiliated institutions as part of their experiential learning curriculum. Afterward, they submitted written reflections, which were coded and analyzed using inductive qualitative content analysis to identify key themes. RESULTS: Reflections were completed by 21 of 23 (91.3%) participants. Most participants (76.2%) were faculty at free-standing children's hospitals and had been at their institutions <5 years (52.3%) or 5 to 10 years (33.3%). Institutional OGR structure varied widely and not all institutions had well-defined priorities. Key themes of the reflections included that OGRs often had dynamic priorities and fiscal considerations frequently took precedence. Barriers to physician involvement with OGR are often related to difficulty identifying the correct staff contact and not having the time and support for advocacy work. Facilitators included leveraging existing relationships and collaborations, including those of peer or mentor connections to the OGR staff. Anticipated benefits to both OGR and physicians included improved knowledge of advocacy opportunities, enhanced advocacy efforts leveraging physicians' expertise and patient stories, and message alignment and amplification of physician and institutional advocacy work. CONCLUSIONS: Collaboration between physician-advocates and institutional OGR is feasible and, with orientation and mentorship, may facilitate improved physician and institutional policy advocacy efforts. Supporting this type of collaboration may enhance physician and institutional advocacy on behalf of their shared patients and communities.

Payer-Related Sources of Variation in Febrile Infant Management Before and After a National Practice Standardization Initiative.

OBJECTIVES: Sources of variation within febrile infant management are incompletely described. In 2016, a national standardization quality improvement initiative, Reducing Excessive Variation in Infant Sepsis Evaluations (REVISE) was implemented. We sought to: (1) describe sociodemographic factors influencing laboratory obtainment and hospitalization among febrile infants and (2) examine the association of REVISE on any identified sources of practice variation. METHODS: We included febrile infants ≤60 days of age evaluated between December 1, 2015 and November 30, 2018 at Pediatric Health Information System-reporting hospitals. Patient demographics and hospital characteristics, including participation in REVISE, were identified. Factors associated with variation in febrile infant management were described in relation to the timing of the REVISE initiative. RESULTS: We identified 32 572 febrile infants in our study period. Pre-REVISE, payer-type was associated with variation in laboratory obtainment and hospitalization. Compared with those with private insurance, infants with self-pay (adjusted odds ratio [aOR] 0.43, 95% confidence interval [95% CI] 0.22-0.5) or government insurance (aOR 0.67, 95% CI 0.60-0.75) had lower odds of receiving laboratories, and self-pay infants had lower odds of hospitalization (aOR 0.38, 95% CI 0.28-0.51). Post-REVISE, payer-related disparities in care remained. Disparities in care were not associated with REVISE participation, as the interaction of time and payer was not statistically different between non-REVISE and REVISE centers for either laboratory obtainment (P = .09) or hospitalization (P = .67). CONCLUSIONS: Payer-related care inequalities exist for febrile infants. Patterns in disparities were similar over time for both non-REVISE and REVISE-participating hospitals. Further work is needed to better understand the role of standardization projects in reducing health disparities.

Racial and ethnic differences in pediatric unintentional injuries requiring hospitalization.

BACKGROUND/OBJECTIVE: This study aims to comprehensively examine racial and ethnic differences in pediatric unintentional injuries requiring hospitalization by age across injury mechanisms. STUDY DESIGN: This was a retrospective, nationally representative cross-sectional analysis of discharge data within the 2016 Kids' Inpatient Database for 98,611 children ≤19 years with unintentional injuries resulting in hospitalization. Injury categories included passengers and pedestrians injured in a motor vehicle crash, falls, drownings, burns, firearms, drug and nondrug poisonings, suffocations, and other injuries. Relative risk (RR) for injuries requiring hospitalization were calculated for children of Black, Hispanic, and Other races and ethnicities compared with White children, and then RR were further stratified by age. Excessive hospitalizations were calculated as the absolute number of hospitalizations for each race and ethnicity group that would have been avoided if each group had the same rate as White children. RESULTS: Black children were significantly more likely to be hospitalized compared with White children for all injury mechanisms except falls, and in nearly all age groups with the greatest RR for firearm injuries (RR 9.8 [95% confidence interval: 9.5-10.2]). Differences were associated with 6263 excessive hospitalizations among all racial and ethnic minority children compared with White children. CONCLUSIONS: Racial and ethnic minority children represent populations at persistent disproportionate risk for injuries resulting in hospitalization; risk that varies in important ways by injury mechanism and children's age. These findings suggest the importance of the environmental and societal exposures that may drive these differences, but other factors, such as provider bias, may also contribute.

Financial Implications of Short Stay Pediatric Hospitalizations.

BACKGROUND: Observation status (OBS) stays incur similar costs to low-acuity, short-stay inpatient (IP) hospitalizations. Despite this, payment for OBS is likely less and may represent a financial liability for children's hospitals. Thus, we described the financial outcomes associated with OBS stays compared to similar IP stays by hospital and payer. METHODS: We conducted a retrospective cohort study of clinically similar pediatric OBS and IP encounters at 15 hospitals contributing to the revenue management program in 2017. Clinical and demographic characteristics were described. For each hospitalization, the cost coverage ratio (CCR) was calculated by dividing revenue by estimated cost of hospitalization. Differences in CCR were evaluated using Wilcoxon rank sum tests and results were stratified by billing designation and payer. CCR for OBS and IP stays were compared by institution, and the estimated increase in revenue by billing OBS stays as IP was calculated. RESULTS: OBS was assigned to 70 981 (56.9%) of 124 789 hospitalizations. Use of OBS varied across hospitals (8%-86%). For included hospitalizations, OBS stays were more likely than IP stays to result in financial loss (57.0% vs 35.7%). OBS stays paid by public payer had the lowest median CCR (0.6; interquartile range [IQR], 0.2-0.9). Paying OBS stays at the median IP rates would have increased revenue by $167 million across the 15 hospitals. CONCLUSIONS: OBS stays were significantly more likely to result in poor financial outcomes than similar IP stays. Costs of hospitalization and billing designations are poorly aligned and represent an opportunity for children's hospitals and payers to restructure payment models.

Neighborhood Child Opportunity and Emergency Department Utilization.

The Child Opportunity Index measures the structural neighborhood context that may influence a child's healthy development. We examined relationships between the Child Opportunity Index and emergency department utilization. BACKGROUND AND OBJECTIVES: The Child Opportunity Index (COI) is a multidimensional measure of structural neighborhood context that may influence a child's healthy development. Our objective was to determine if COI is associated with children's emergency department (ED) utilization using a national sample. METHODS: This was a retrospective cohort study of the Pediatric Health Information Systems, a database from 49 United States children's hospitals. We analyzed children aged 0 to 17 years with ED visits from January 1, 2018, to December 31, 2019. We modeled associations between COI and outcomes using generalized regression models that adjusted for patient characteristics (eg, age, clinical severity). Outcomes included: (1) low-resource intensity (LRI) ED visits (visits with no laboratories, imaging, procedures, or admission), (2) ≥2 or ≥3 ED visits, and (3) admission. RESULTS: We analyzed 6 810 864 ED visits by 3 999 880 children. LRI visits were more likely among children from very low compared with very high COI (1 LRI visit: odds ratio [OR] 1.35 [1.17-1.56]; ≥2 LRI visits: OR 1.97 [1.66-2.33]; ≥3 LRI visits: OR 2.4 [1.71-3.39]). ED utilization was more likely among children from very low compared with very high COI (≥2 ED visits: OR 1.73 [1.51-1.99]; ≥3 ED visits: OR 2.22 [1.69-2.91]). Risk of hospital admission from the ED was lower for children from very low compared with very high COI (OR 0.77 [0.65-0.99]). CONCLUSIONS: Children from neighborhoods with low COI had higher ED utilization overall and more LRI visits, as well as visits more cost-effectively managed in primary care settings. Identifying neighborhood opportunity-related drivers can help us design interventions to optimize child health and decrease unnecessary ED utilization and costs.

Child Opportunity Index 2.0 and acute care utilization among children with medical complexity.

BACKGROUND: Disproportionately high acute care utilization among children with medical complexity (CMC) is influenced by patient-level social complexity. OBJECTIVE: The objective of this study was to determine associations between ZIP code-level opportunity and acute care utilization among CMC. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional, multicenter study used the Pediatric Health Information Systems database, identifying encounters between 2016-2019. CMC aged 28 days to <16 years with an initial emergency department (ED) encounter or inpatient/observation admission in 2016 were included in primary analyses. MAIN OUTCOME AND MEASURES: We assessed associations between the nationally-normed, multi-dimensional, ZIP code-level Child Opportunity Index 2.0 (COI) (high COI = greater opportunity), and total utilization days (hospital bed-days + ED discharge encounters). Analyses were conducted using negative binomial generalized estimating equations, adjusting for age and distance from hospital and clustered by hospital. Secondary outcomes included intensive care unit (ICU) days and cost of care. RESULTS: A total of 23,197 CMC were included in primary analyses. In unadjusted analyses, utilization days decreased in a stepwise fashion from 47.1 (95% confidence interval: 45.5, 48.7) days in the lowest COI quintile to 38.6 (36.9, 40.4) days in the highest quintile (p < .001). The same trend was present across all outcome measures, though was not significant for ICU days. In adjusted analyses, patients from the lowest COI quintile utilized care at 1.22-times the rate of those from the highest COI quintile (1.17, 1.27). CONCLUSIONS: CMC from low opportunity ZIP codes utilize more acute care. They may benefit from hospital and community-based interventions aimed at equitably improving child health outcomes.

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

OBJECTIVE: Reutilization following discharge is costly to families and the health care system. Singular measures of the social determinants of health (SDOH) have been shown to impact utilization; however, the SDOH are multifactorial. The Childhood Opportunity Index (COI) is a validated approach for comprehensive estimation of the SDOH. Using the COI, we aimed to describe the association between SDOH and 30-day revisit rates. METHODS: This retrospective study included children 0 to 17 years within 48 children's hospitals using the Pediatric Health Information System from 1/1/2019 to 12/31/2019. The main exposure was a child's ZIP code level COI. The primary outcome was unplanned readmissions and emergency department (ED) revisits within 30 days of discharge. Primary outcomes were summarized by COI category and compared using chi-square or Kruskal-Wallis tests. Adjusted analysis used generalized linear mixed effects models with adjustments for demographics, clinical characteristics, and hospital clustering. RESULTS: Of 728,997 hospitalizations meeting inclusion criteria, 30-day unplanned returns occurred for 96,007 children (13.2%). After adjustment, the patterns of returns were significantly associated with COI. For example, 30-day returns occurred for 19.1% (95% confidence interval [CI]: 18.2, 20.0) of children living within very low opportunity areas, with a gradient-like decrease as opportunity increased (15.5%, 95% CI: 14.5, 16.5 for very high). The relative decrease in utilization as COI increased was more pronounced for ED revisits. CONCLUSIONS: Children living in low opportunity areas had greater 30-day readmissions and ED revisits. Our results suggest that a broader approach, including policy and system-level change, is needed to effectively reduce readmissions and ED revisits.

Health and Poverty of Rural Children: An Under-Researched and Under-Resourced Vulnerable Population.

Nearly 1 in 5 children in the United States live in rural areas. Rural children experience health and health care disparities compared to their urban peers and represent a unique and vulnerable pediatric patient population. Important disparities exist in all-cause mortality, suicide, firearm-related unintentional injury, and obesity. Rural children experience decreased availability and accessibility of primary care and specialty care (especially mental health care) due to a decreased number of health care providers as well as geographical and transportation-related barriers. Other geographic and socioeconomic determinants, especially concerning poverty and substandard housing conditions, are likely important contributors to the observed health disparities. Increased funding for research focused on rural populations is needed to provide innovative solutions for the unique health needs of rural children. Policy changes positioned to correct the trajectory of poor health among children should consider the needs of rural children as an under-researched and under-resourced vulnerable population.

Factors Related to Serious Safety Events in a Children's Hospital Patient Safety Collaborative.

BACKGROUND AND OBJECTIVES: Serious safety events (SSEs) occur infrequently at individual hospitals, making it difficult to establish trends to improve patient care. Patient safety organizations, such as the Child Health Patient Safety Organization (CHILDPSO), can identify trends and support learning across children's hospitals. We aim to describe longitudinal trends in SSE rates among CHILDPSO member hospitals and describe their sources of harm. METHODS: SSEs from 44 children's hospitals were assigned severity and reported to CHILDPSO from January 1, 2015, to December 31, 2018. SSEs were classified into groups and subgroups based on analysis. Events were then tagged with up to 3 contributing factors. Subgroups with <5 events were excluded. RESULTS: There were 22.5 million adjusted patient days included. The 12-month rolling average SSE rate per 10 000 adjusted patient days decreased from 0.71 to 0.41 (P < .001). There were 830 SSEs reported to CHILDPSO. The median hospital volume of SSEs was 12 events (interquartile range: 6-23), or ∼3 SSEs per year. Of the 830 events, 21.0% were high severity (SSE 1-3) and approximately two-thirds (67.0%, n = 610) were patient care management events, including subgroups of missed, delayed, or wrong diagnosis or treatment; medication errors; and suboptimal care coordination. The most common contributing factor was lack of situational awareness (17.9%, n = 382), which contributed to 1 in 5 (20%) high-severity SSEs. CONCLUSIONS: Hospitals sharing SSE data through CHILDPSO have seen a decrease in SSEs. Patient care management was the most frequently seen. Future work should focus on investigation of contributing factors and risk mitigation strategies.

Observation Status Stays With Low Resource Use Within Children's Hospitals.

BACKGROUND: High costs associated with hospitalization have encouraged reductions in unnecessary encounters. A subset of observation status patients receive minimal interventions and incur low use costs. These patients may contain a cohort that could safely be treated outside of the hospital. Thus, we sought to describe characteristics of low resource use (LRU) observation status hospitalizations and variation in LRU stays across hospitals. METHODS: We conducted a retrospective cohort study of pediatric observation encounters at 42 hospitals contributing to the Pediatric Health Information System database from January 1, 2019, to December 31, 2019. For each hospitalization, we calculated the use ratio (nonroom costs to total hospitalization cost). We grouped stays into use quartiles with the lowest labeled LRU. We described associations with LRU stays and performed classification and regression tree analyses to identify the combination of characteristics most associated with LRU. Finally, we described the proportion of LRU hospitalizations across hospitals. RESULTS: We identified 174 315 observation encounters (44 422 LRU). Children <1 year (odds ratio [OR] 3.3; 95% confidence interval [CI] 3.1-3.4), without complex chronic conditions (OR 3.6; 95% CI 3.2-4.0), and those directly admitted (OR 4.2; 95% CI 4.1-4.4) had the greatest odds of experiencing an LRU encounter. Those children with the combination of direct admission, no medical complexity, and a respiratory diagnosis experienced an LRU stay 69.5% of the time. We observed variation in LRU encounters (1%-57% of observation encounters) across hospitals. CONCLUSIONS: LRU observation encounters are variable across children's hospitals. These stays may include a cohort of patients who could be treated outside of the hospital.

Obesity and Corticosteroid Dosing Guideline Adherence in Children Hospitalized With Asthma.

OBJECTIVES: Drug dosing recommendations for children with obesity remain limited. This may lead to variability in medication dosing among children with obesity. Therefore, our objective was to determine differences in the prevalence of guideline-nonadherent systemic corticosteroid orders by weight category in children hospitalized for asthma. METHODS: We performed a retrospective cross-sectional study of children aged 2 to 17 years hospitalized with asthma and prescribed systemic corticosteroids between January 1, 2010, and December 31, 2017, using the Cerner Health Facts deidentified database. Weight categories ranging from underweight to class III obesity were defined on the basis of BMI percentiles by using CDC guidelines. Corticosteroid orders were categorized as guideline adherent or nonadherent on the basis of total body weight-based dosing guidelines from the National Heart, Lung, and Blood Institute. χ2 test and multivariable logistic regression models were used to determine differences in guideline adherence between weight categories. RESULTS: We identified 21 488 children prescribed systemic corticosteroids during asthma hospitalizations. Most (54.2%) had a healthy weight, and 23.8% had obesity. Almost one-quarter received guideline-nonadherent orders (22.2%), with increasing prevalence among higher weight categories (19.4% of healthy weight children versus 36.0% of those with class III obesity; P < .001). After controlling for demographic and clinical covariates, weight category remained significantly associated with receiving a guideline-nonadherent order (P < .001). CONCLUSIONS: The prevalence of guideline-nonadherent corticosteroid orders for children hospitalized with asthma increases linearly with weight category, disproportionately affecting children with severe obesity. Standardization of drug dosing guidelines for children with obesity may help reduce variability in drug doses prescribed that may increase risk of harm.