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.

Changes in hospitalization populations by level of complexity at children's hospitals.

It is important for hospitals to understand how hospitalizations for children are changing to adapt and best accommodate the future needs of all patient populations. This study aims to understand how hospitalizations for children with medical complexity (CMC) and non-CMC have changed over time at children's hospitals, and how hospitalizations for these children will look in the future. Children with 3+ complex chronic conditions (CCC) accounted for 7% of discharges and over one-quarter of days and one-third of costs during the study period (2012-2022). The number of CCCs was associated with increased growth in discharges, hospital days, and costs. Understanding these trends can help hospitals better allocate resources and training to prepare for pediatric patients across the spectrum of complexity.

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.

Child Opportunity Index and Rehospitalization for Ambulatory Care Sensitive Conditions at US Children's Hospitals.

OBJECTIVE: Child Opportunity Index (COI) measures neighborhood contextual factors (education, health and environment, social and economic) that may influence child health. Such factors have been associated with hospitalizations for ambulatory care sensitive conditions (ACSC). Lower COI has been associated with higher health care utilization, yet association with rehospitalization(s) for ACSC remains unknown. Our objective is to determine the association between COI and ACSC rehospitalizations. METHODS: Multicenter retrospective cohort study of children ages 0 to 17 years with a hospital admission for ambulatory care sensitive conditions in 2017 or 2018. Exposure was COI. Outcome was rehospitalization within 1 year of index admission (analyzed as any or ≥2 rehospitalization) for ACSC. Logistic regression models adjusted for age, sex, severity, and complex and mental health conditions. RESULTS: The study included 184 478 children. Of hospitalizations, 28.3% were by children from very low COI and 16.5% were by children from very high COI neighborhoods. In risk-adjusted models, ACSC rehospitalization was higher for children from very low COI than very high COI neighborhoods; any rehospitalization occurred for 18.7% from very low COI and 13.5% from very high COI neighborhoods (adjusted odds ratio 1.14 [1.05-1.23]), whereas ≥2 rehospitalization occurred for 4.8% from very low COI and 3.2% from very high COI neighborhoods (odds ratio 1.51 [1.29-1.75]). CONCLUSIONS: Children from neighborhoods with low COI had higher rehospitalizations for ACSCs. Further research is needed to understand how hospital systems can address social determinants of health in the communities they serve to prevent rehospitalizations.

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.

Financial outcomes of high-flow nasal cannula use for bronchiolitis on the general pediatric floor.

High-flow nasal cannula (HFNC) is an increasingly common treatment utilized for bronchiolitis on general pediatric hospital floors. This could present a financial burden for hospitals if reimbursement has not accounted for the increased costs associated with increased HFNC use. Pediatric Health Information System and Revenue Management Program data set discharges from 2018 to 2019 were utilized to calculate the ratio of reimbursements to costs as a cost coverage ratio (CCR). The CCR was compared by HFNC use, the severity of illness, and payor type. The CCR was highest at 1.68 for children with high severity and HFNC use but varied greatly by payor. The lowest CCR at 0.77 was seen for children with low severity and public insurance and indicated potential financial losses for these patients. This was lower than low-severity patients on HFNC with private payors (1.68) and high-severity patients on HFNC with public payors (1.18).

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.

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.

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.

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.

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.

The Child Opportunity Index 2.0 and Hospitalizations for Ambulatory Care Sensitive Conditions.

BACKGROUND AND OBJECTIVES: Hospitalizations for ambulatory care sensitive conditions (ACSCs) are thought to be avoidable with high-quality outpatient care. Morbidity related to ACSCs has been associated with socioeconomic contextual factors, which do not necessarily capture the complex pathways through which a child's environment impacts health outcomes. Our primary objective was to test the association between a multidimensional measure of neighborhood-level child opportunity and pediatric hospitalization rates for ACSCs across 2 metropolitan areas. METHODS: This was a retrospective population-based analysis of ACSC hospitalizations within the Kansas City and Cincinnati metropolitan areas from 2013 to 2018. Census tracts were included if located in a county where Children's Mercy Kansas City or Cincinnati Children's Hospital Medical Center had >80% market share of hospitalizations for children <18 years. Our predictor was child opportunity as defined by a composite index, the Child Opportunity Index 2.0. Our outcome was hospitalization rates for 8 ACSCs. RESULTS: We included 604 943 children within 628 census tracts. There were 26 977 total ACSC hospitalizations (46 hospitalizations per 1000 children; 95% confidence interval [CI]: 45.4-46.5). The hospitalization rate for all ACSCs revealed a stepwise reduction from 79.9 per 1000 children (95% CI: 78.1-81.7) in very low opportunity tracts to 31.2 per 1000 children (95% CI: 30.5-32.0) in very high opportunity tracts (P < .001). This trend was observed across cities and diagnoses. CONCLUSIONS: Links between ACSC hospitalizations and child opportunity extend across metropolitan areas. Targeting interventions to lower-opportunity neighborhoods and enacting policies that equitably bolster opportunity may improve child health outcomes, reduce inequities, and decrease health care costs.