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.

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.

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.

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.

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.

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.

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.

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.

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.

Healthcare Encounter and Financial Impact of COVID-19 on Children's Hospitals

Children's hospitals responded to COVID-19 by limiting nonurgent healthcare encounters, conserving personal protective equipment, and restructuring care processes to mitigate viral spread. We assessed year-over-year trends in healthcare encounters and hospital charges across US children's hospitals before and during the COVID-19 pandemic. We performed a retrospective analysis, comparing healthcare encounters and inflation-adjusted charges from 26 tertiary children's hospitals reporting to the PROSPECT database from February 1 to June 30 in 2019 (before the COVID-19 pandemic) and 2020 (during the COVID-19 pandemic). All children's hospitals experienced similar trends in healthcare encounters and charges during the study period. Inpatient bed-days, emergency department visits, and surgeries were lower by a median 36%, 65%, and 77%, respectively, per hospital by the week of April 15 (the nadir) in 2020 compared with 2019. Across the study period in 2020, children's hospitals experienced a median decrease of $276 million in charges.

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.

Readmissions Following Hospitalization for Infection in Children With or Without Medical Complexity

OBJECTIVE

To describe the prevalence and characteristics of infection-related readmissions in children and to identify opportunities for readmission reduction and estimate associated cost savings.

STUDY DESIGN

Retrospective analysis of 380,067 nationally representative index hospitalizations for children using the 2014 Nationwide Readmissions Database. We compared 30-day, all-cause unplanned readmissions and costs across 22 infection categories. We used the Inpatient Essentials database to measure hospital-level readmission rates and to establish readmission benchmarks for individual infections. We then estimated the number of readmissions avoided and costs saved if hospitals achieved the 10th percentile of hospitals' readmission rates (ie, readmission benchmark). All analyses were stratified by the presence/absence of a complex chronic condition (CCC).

RESULTS

The overall 30-day readmission rate was 4.9%. Readmission rates varied substantially across infections and by presence/absence of a CCC (CCC: range, 0%-21.6%; no CCC: range, 1.5%-8.6%). Approximately 42.6% of readmissions (n = 3,576) for children with a CCC and 54.7% of readmissions (n = 5,507) for children without a CCC could have been potentially avoided if hospitals achieved infection-specific benchmark readmission rates, which could result in an estimated savings of $70.8 million and $44.5 million, respectively. Bronchiolitis, pneumonia, and upper respiratory tract infections were among infections with the greatest number of potentially avoidable readmissions and cost savings for children with and without a CCC.

CONCLUSION

Readmissions following hospitalizations for infection in children vary significantly by infection type. To improve hospital resource use for infections, future preventative measures may prioritize children with complex chronic conditions and those with specific diagnoses (eg, respiratory illnesses).

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.

Associations Between Obesity and Use for Pediatric Hospitalizations

BACKGROUND

Obesity is associated with poor outcomes for specific clinical groups of hospitalized children, but few data exist on outcomes of children with obesity on a larger scale during hospitalization. Therefore, we aimed to determine if use outcomes differ between hospitalized children with obesity and hospitalized children without obesity.

METHODS

We performed a retrospective longitudinal cohort study of all children aged 2 to 19 years hospitalized at a single academic institution between January 1, 2009, and December 31, 2016. BMI was calculated from documented height and weight; obesity was defined by using age- and sex-specific BMI percentile guidelines from the Centers for Disease Control and Prevention. Only All Patient Refined Diagnosis-Related Groups (APR-DRGs) with >100 admissions during the study period were included. Primary outcome measures included hospital length of stay, hospital cost, and 14-day readmission. Generalized linear and logistic models were used to determine adjusted differences for outcome measures between patients with and without obesity.

RESULTS

Of 78 756 included hospitalizations, obesity rates increased from 16.5% in 2009-2010 to 17.3% in 2015-2016 (P = .002). Only 6 (4.7%) of the 128 APR-DRGs examined were associated with increased use for patients with obesity: spinal procedures, tonsil and adenoid procedures, major respiratory procedures, peptic ulcer and gastritis, other musculoskeletal diagnoses, and other kidney and urinary tract diagnoses. There were no APR-DRGs with increased length of stay for children with obesity.

CONCLUSIONS

Obesity is associated with increased hospitalization cost and readmission rates for a minority of diagnosis groups. Some groups of hospitalized children with obesity may benefit from targeted interventions to reduce obesity-specific risks. Future research should be focused on disparities in other relevant clinical outcomes.

Pathways to Publication in Pediatric Hospital Medicine Educational Research

OBJECTIVES

Dissemination of rigorous, innovative educational research is key to inform best practices among the global medical education community. Although abstract presentation at professional conferences is often the first step, journal publication maximizes impact. The current state of pediatric hospital medicine (PHM) educational scholarship dissemination via journal publication has not been well described. To describe educational research dissemination after PHM conference abstract submission, we identified the publication rate, median time to publication, and median publishing journal impact factor of abstracts submitted over 4 years.

METHODS

Abstract data were obtained from the 2014-2017 PHM conferences and organized by presentation type (oral, poster, rejected). PubMed, MedEdPORTAL, and Google Scholar were queried for abstract publication evidence. We used logistic regression models, Kaplan-Meier survival curves and Kruskal-Wallis tests to determine the association of presentation type with the odds of publication, time to publication, and publishing journal impact factors.

RESULTS

Of 173 submitted educational research abstracts, 56 (32%) were published. Oral abstracts had threefold greater and fivefold greater odds of publication compared to poster and rejected abstracts, respectively (odds ratio 3.2; 95% confidence interval 1.3-8.0; P = .011; odds ratio 5.2; 95% confidence interval 1.6-16.7; P = .003). Median time to publication did not differ between presentation types. The median journal impact factor was >2 times higher for published oral and poster abstracts than published rejected abstracts.

CONCLUSIONS

Because abstract acceptance and presentation type may be early indicators of publication success, abstract submission to the PHM conference is a reasonable first step in disseminating educational scholarship.

Variation in Care and Clinical Outcomes Among Infants Hospitalized With Hyperbilirubinemia

OBJECTIVES

To assess hospital-level variation in laboratory testing and intravenous fluid (IVF) use and examine the association between these interventions and hospitalization outcomes among infants admitted with neonatal hyperbilirubinemia.

METHODS

We performed a retrospective multicenter study of infants aged 2 to 7 days hospitalized with a primary diagnosis of hyperbilirubinemia from December 1, 2016, to June 30, 2018, using the Pediatric Health Information System. Hospital-level variation in laboratory and IVF use was evaluated after adjusting for clinical and demographic factors and associated with hospital-level outcomes by using Pearson correlation.

RESULTS

We identified 4396 infants hospitalized with hyperbilirubinemia. In addition to bilirubin level, the most frequently ordered laboratories were direct antiglobulin testing (45.7%), reticulocyte count (39.7%), complete blood cell counts (43.7%), ABO blood type (33.4%), and electrolyte panels (12.9%). IVFs were given to 26.3% of children. Extensive variation in laboratory testing and IVF administration was observed across hospitals (all P < .001). Increased use of laboratory testing but not IVFs was associated with a longer length of stay (P = .007 and .162, respectively). Neither supplementary laboratory use nor IVF use was associated with either readmissions or emergency department revisits.

CONCLUSIONS

Substantial variation exists among hospitals in the management of infants with hyperbilirubinemia. With our results, we suggest that additional testing outside of bilirubin measurement may unnecessarily increase resource use for infants hospitalized with hyperbilirubinemia.

Longitudinal Trends in Costs for Hospitalizations at Children's Hospitals

OBJECTIVES

Children's hospitals are increasingly focused on value-based improvement efforts to improve outcomes and lower costs. Such efforts are generally focused on improving outcomes in specific conditions. Examination of cost drivers across all admissions may facilitate strategic prioritization of efforts.

METHODS

Pediatric Health Information System data set discharges from 2010 to 2017 were aggregated into services lines and billing categories. The mean annual growth per discharge as a percentage of 2010 total costs was calculated for aggregated medical and surgical service lines and 6 individual service lines with highest rates of growth. The mean annual growth per discharge for each billing category and changes in length of stay was further assessed.

RESULTS

The mean annual growth in total costs was similar for aggregated medical (2.6%) and surgical (2.7%) service lines. Individual medical service lines with highest mean annual growth were oncology (3.5%), reproductive services (2.9%), and nonsurgical orthopedics (2.8%); surgical service lines with highest rate of growth were solid organ transplant (3.7%), ophthalmology (3.3%), and otolaryngology (2.9%).

CONCLUSIONS

Room costs contributed most consistently to cost increases without concomitant increases in length of stay. Value-based health care initiatives must focus on room cost increases and their impacts on patient outcomes.

Health Care Utilization and Spending for Children With Mental Health Conditions in Medicaid

OBJECTIVE

To examine how characteristics vary between children with any mental health (MH) diagnosis who have typical spending and the highest spending; to identify independent predictors of highest spending; and to examine drivers of spending groups.

METHODS

This retrospective analysis utilized 2016 Medicaid claims from 11 states and included 775,945 children ages 3 to 17 years with any MH diagnosis and at least 11 months of continuous coverage. We compared demographic characteristics and Medicaid expenditures based on total health care spending: the top 1% (highest-spending) and remaining 99% (typical-spending). We used chi-squared tests to compare the 2 groups and adjusted logistic regression to identify independent predictors of being in the top 1% highest-spending group.

RESULTS

Children with MH conditions accounted for 55% of Medicaid spending among 3- to 17-year olds. Patients in the highest-spending group were more likely to be older, have multiple MH conditions, and have complex chronic physical health conditions (P <.001). The highest-spending group had $164,003 per-member-per-year (PMPY) in total health care spending, compared to $6097 PMPY in the typical-spending group. Ambulatory MH services contributed the largest proportion (40%) of expenditures ($2455 PMPY) in the typical-spending group; general health hospitalizations contributed the largest proportion (36%) of expenditures ($58,363 PMPY) in the highest-spending group.

CONCLUSIONS

Among children with MH conditions, mental and physical health comorbidities were common and spending for general health care outpaced spending for MH care. Future research and quality initiatives should focus on integrating MH and physical health care services and investigate whether current spending on MH services supports high-quality MH care.

Room Costs for Common Pediatric Hospitalizations and Cost-Reducing Quality Initiatives

BACKGROUND

Improvement initiatives promote safe and efficient care for hospitalized children. However, these may be associated with limited cost savings. In this article, we sought to understand the potential financial benefit yielded by improvement initiatives by describing the inpatient allocation of costs for common pediatric diagnoses.

METHODS

This study is a retrospective cross-sectional analysis of pediatric patients aged 0 to 21 years from 48 children's hospitals included in the Pediatric Health Information System database from January 1, 2017, to December 31, 2017. We included hospitalizations for 8 common inpatient pediatric diagnoses (seizure, bronchiolitis, asthma, pneumonia, acute gastroenteritis, upper respiratory tract infection, other gastrointestinal diagnoses, and skin and soft tissue infection) and categorized the distribution of hospitalization costs (room, clinical, laboratory, imaging, pharmacy, supplies, and other). We summarized our findings with mean percentages and percent of total costs and used mixed-effects models to account for disease severity and to describe hospital-level variation.

RESULTS

For 195 436 hospitalizations, room costs accounted for 52.5% to 70.3% of total hospitalization costs. We observed wide hospital-level variation in nonroom costs for the same diagnoses (25%-81% for seizure, 12%-51% for bronchiolitis, 19%-63% for asthma, 19%-62% for pneumonia, 21%-78% for acute gastroenteritis, 21%-63% for upper respiratory tract infection, 28%-69% for other gastrointestinal diagnoses, and 21%-71% for skin and soft tissue infection). However, to achieve a cost reduction equal to 10% of room costs, large, often unattainable reductions (>100%) in nonroom cost categories are needed.

CONCLUSIONS

Inconsistencies in nonroom costs for similar diagnoses suggest hospital-level treatment variation and improvement opportunities. However, individual improvement initiatives may not result in significant cost savings without specifically addressing room costs.

Care of Pediatric High-Cost Hospitalizations Across Hospital Types

BACKGROUND

High-cost hospitalizations (HCHs) account for a substantial proportion of pediatric health care expenditures. We aimed to (1) describe the distribution of pediatric HCHs across hospital types caring for children and (2) compare characteristics of pediatric HCHs by hospital type.

METHODS

Cross-sectional analysis of all pediatric hospitalizations in the 2012 Kids' Inpatient Database. HCHs were defined as costs >$40 000 (94th percentile). Hospitals were categorized as children's, small general, and large general.

RESULTS

Approximately 166 000 HCHs were responsible for 50.8% of aggregate hospital costs ($18.1 of $35.7 billion) and were mostly at children's hospitals (65%). Children with an HCH were largely neonates (45%), had public insurance (50%), and had ≥1 chronic condition (74%). A total of 131 children's hospitals cared for a median of 559 HCHs per hospital (interquartile range [IQR]: 355-1153) compared to 76 HCHs per hospital (IQR: 32-151) at 397 large general hospitals and 5 HCHs per hospital (IQR: 2-22) at 3581 small general hospitals. The median annual aggregate cost for HCHs was $60 million (IQR: $36-$135) per children's hospital compared to $6.6 million (IQR: $2-$15) per large general hospital and $300 000 (IQR: $116 000-$1.5 million) per small general hospital. HCHs from children's hospitals encompassed nearly 5 times as many unique clinical conditions as large general hospitals and >30 times as many as small general hospitals.

CONCLUSIONS

Children's hospitals cared for a disproportionate volume, cost, and diversity of HCHs compared to general hospitals. Future studies should characterize the factors driving cost, resources, and reimbursement practices for HCH to ensure the long-term financial viability of the pediatric health care system.

Prevalence and Trends in Obesity Among Hospitalized Children

OBJECTIVES

As obesity rates rise in children, it is likely that the number of hospitalized children with obesity is also increasing. However, characterization of the inpatient population with obesity as a whole has not been reported. We aimed to examine trends in the annual prevalence of obesity in hospitalized children and to identify demographic and clinical characteristics associated with higher obesity prevalence in children who are hospitalized.

METHODS

We completed a retrospective cohort analysis of children aged 2 to 19 years admitted to a single tertiary children's hospital system for any reason in 2009-2016. Body mass index was calculated from documented height and weight. Children with obesity were defined by using age- and sex-specific body mass index percentile guidelines established by the Centers for Disease Control and Prevention. Annual obesity prevalence was calculated on the encounter level for service line and All Patients Refined Diagnosis-Related Groups (diagnosis groups). χ² tests were used to determine statistical differences between groups, and the Cochran-Armitage test of trend was used to describe changes in obesity over time.

RESULTS

Of 83 329 children who were hospitalized, 17.0% had obesity, increasing from 16.5% of hospitalizations in 2009-2010 to 17.3% in 2015-2016 (P = .002). Service lines with the highest obesity prevalence included orthopedics (22.1%), infectious disease (20.6%), and neuroscience (18.7%). Diagnosis groups with the highest obesity prevalence included cellulitis (22.5%), tonsil/adenoid procedures (22.0%), and some orthopedic procedures (28.7%).

CONCLUSIONS

Some groups of children who were hospitalized experience higher obesity prevalence, including children hospitalized with orthopedic, infectious disease, and neurologic problems. In future research, investigators should target disproportionately affected groups by examining health outcomes, patient safety, and satisfaction issues.

Trends in Volume and Utilization Outcomes in Adolescent Metabolic and Bariatric Surgery at Children's Hospitals

PURPOSE

As the prevalence of obesity increases in adolescents, the rate of metabolic and bariatric surgery (MBS) is also rising. Little is known about MBS rates at children's hospitals. This study describes trends in adolescent MBS volume and examines hospital resource utilization among patients undergoing MBS at children's hospitals.

METHODS

We performed a retrospective cohort study using a large pediatric hospital database (Inpatient Essentials database) to identify adolescents aged 10-18 years who underwent MBS from 2012 to 2016. Procedures were identified based on the presence of diagnosis codes for obesity and bariatric surgery. Our primary outcome was annual MBS volume, and secondary outcomes included cost, length of stay (LOS), and 30-day readmission rates.

RESULTS

A total of 859 adolescents from 39 children's hospitals underwent MBS during the study timeframe. Included patients were typically aged >16 years (49.7%), female (73.3%), and non-Hispanic white (50.5%). The number of bariatric surgeries increased 1.8-fold, from 126 in 2012 to 220 in 2016 (p = .004). There was considerable variation in the number of procedures by hospital, ranging from 1 to 159, with a median of 4 (interquartile range: 1-18) procedures per hospital. As the annual number of surgeries increased, LOS decreased by 1 day (p = .028) and cost decreased by 22% (p < .001), without a change in readmission rates (p = .925).

CONCLUSION

MBS rates are increasing in children's hospitals, whereas LOS and cost are decreasing, without affecting readmission rates. These findings may be useful for development of quality benchmarks for developing and existing MBS programs within children's hospitals.

Hospital Readmission of Adolescents and Young Adults With Complex Chronic Disease

IMPORTANCE

Adolescents and young adults (AYA) who have complex chronic disease (CCD) are a growing population that requires hospitalization to treat severe, acute health problems. These patients may have increased risk of readmission as demands on their self-management increase and as they transfer care from pediatric to adult health care practitioners.

OBJECTIVE

To assess variation across CCDs in the likelihood of readmission for AYA with increasing age.

DESIGN, SETTING, AND PARTICIPANTS

Retrospective 1-year cross-sectional study of the 2014 Agency for Healthcare Research and Quality Nationwide Readmissions Database for all US hospitals. Participants were 215 580 hospitalized individuals aged 15 to 30 years with cystic fibrosis (n = 15 213), type 1 diabetes (n = 86 853), inflammatory bowel disease (n = 48 073), spina bifida (n = 7819), and sickle cell anemia (n = 57 622) from January 1, 2014, to December 1, 2014.

EXPOSURES

Increasing age at index admission.

MAIN OUTCOMES AND MEASURES

Unplanned 30-day hospital readmission. Readmission odds were compared by patients' ages in 2-year epochs (with age 15-16 years as the reference) using logistic regression, accounting for confounding patient characteristics and data clustering by hospital.

RESULTS

Of 215 580 participants, 115 982 (53.8%) were female; the median (interquartile range) age was 24 (20-27) years. Across CCDs, multimorbidity was common; the percentages of index hospitalizations with 4 or more coexisting conditions ranged from to 33.4% for inflammatory bowel disease to 74.2% for spina bifida. Thirty-day hospital readmission rates varied significantly across CCDs: 20.2% (cystic fibrosis), 19.8% (inflammatory bowel disease), 20.4% (spina bifida), 22.5% (type 1 diabetes), and 34.6% (sickle cell anemia). As age increased from 15 to 30 years, unadjusted, 30-day, unplanned hospital readmission rates increased significantly for all 5 CCD cohorts. In multivariable analysis, age trends in the adjusted odds of readmission varied across CCDs. For example, for AYA who had cystic fibrosis, the adjusted odds of readmission increased to 1.9 (95% CI, 1.5-2.3) by age 21 years and remained elevated through age 30 years. For AYA who had type 1 diabetes, the adjusted odds of readmission peaked at ages 23 to 24 years (odds ratio, 2.3; 95% CI, 2.1-2.6) and then declined through age 30 years.

CONCLUSIONS AND RELEVANCE

These findings suggest that hospitalized AYA who have CCDs have high rates of multimorbidity and 30-day readmission. The adjusted odds of readmission for AYA varied significantly across CCDs with increasing age. Further attention is needed to hospital discharge care, self-management, and prevention of readmission in AYA with CCD.

Outpatient Prescription Opioid Use in Pediatric Medicaid Enrollees With Special Health Care Needs

BACKGROUND AND OBJECTIVES

Although potentially dangerous, little is known about outpatient opioid exposure (OE) in children and youth with special health care needs (CYSHCN). We assessed the prevalence and types of OE and the diagnoses and health care encounters proximal to OE in CYSHCN.

METHODS

This is a retrospective cohort study of 2 597 987 CYSHCN aged 0-to-18 years from 11 states, continuously enrolled in Medicaid in 2016, with ≥1 chronic condition. OE included any filled prescription (single or multiple) for opioids. Health care encounters were assessed within 7 days before and 7 and 30 days after OE.

RESULTS

Among CYSHCN, 7.4% had OE. CYSHCN with OE versus without OE were older (ages 10-18 years: 69.4% vs 47.7%), had more chronic conditions (≥3 conditions: 49.1% vs 30.6%), and had more polypharmacy (≥5 other medication classes: 54.7% vs 31.2%), P < .001 for all. Most (76.7%) OEs were single fills with a median duration of 4 days (interquartile range: 3-6). The most common OEs were acetaminophen-hydrocodone (47.5%), acetaminophen-codeine (21.5%), and oxycodone (9.5%). Emergency department visits preceded 28.8% of OEs, followed by outpatient surgery (28.8%) and outpatient specialty care (19.1%). Most OEs were preceded by a diagnosis of infection (25.9%) or injury (22.3%). Only 35.1% and 62.2% of OEs were associated with follow-up visits within 7 and 30 days, respectively.

CONCLUSIONS

OE in CYSHCN is common, especially with multiple chronic conditions and polypharmacy. In subsequent studies, researchers should examine the appropriateness of opioid prescribing, particularly in emergency departments, as well as assess for drug interactions with chronic medications and reasons for insufficient follow-up.

Newborn Risk Factors for Subsequent Physical Abuse Hospitalizations

OBJECTIVES

To describe the prevalence of risk factors for abuse and newborns' risks for physical abuse hospitalizations during early infancy.

METHODS

We created a nationally representative US birth cohort using the 2013 and 2014 Nationwide Readmissions Databases. Newborns were characterized by demographics, prematurity or low birth weight (LBW), intrauterine drug exposure, and medical complexity (including birth defects). Newborns were tracked for 6 months from their birth hospitalization, and subsequent abuse hospitalizations were identified by using International Classification of Diseases, Ninth Revision codes. We calculated adjusted relative risks (aRRs) with multiple logistic regression, and we used classification and regression trees to identify newborns with the greatest risk for abuse on the basis of combinations of multiple risk factors.

RESULTS

There were 3 740 582 newborns in the cohort. Among them, 1247 (0.03%) were subsequently hospitalized for abuse within 6 months. Among infants who were abused, 20.4% were premature or LBW, and 4.1% were drug exposed. Premature or LBW newborns (aRR 2.16 [95% confidence interval (CI): 1.87-2.49]) and newborns who were drug exposed (aRR 2.86 [95% CI: 2.15-3.80]) were independently at an increased risk for an abuse hospitalization, but newborns with medical complexity or noncardiac birth defects were not. Publicly insured preterm or LBW newborns from rural counties had the greatest risk for abuse hospitalizations (aRR 9.54 [95% CI: 6.88-13.23]). Publicly insured newborns who were also preterm, LBW, or drug exposed constituted 5.2% of all newborns, yet they constituted 18.5% of all infants who were abused.

CONCLUSIONS

Preterm or LBW newborns and newborns who were drug exposed, particularly those with public insurance and residing in rural counties, were at the highest risk for abuse hospitalizations. Effective prevention directed at these highest-risk newborns may prevent a disproportionate amount of abuse.

Association of Extending Hospital Length of Stay With Reduced Pediatric Hospital Readmissions

This cohort study explores the association between index hospitalization length of stay and hospital readmissions among children.

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.

Medicaid Expenditures Among Children With Noncomplex Chronic Diseases

BACKGROUND AND OBJECTIVES

Expenditures for children with noncomplex chronic diseases (NC-CDs) are related to disease chronicity and resource use. The degree to which specific conditions contribute to high health care expenditures among children with NC-CDs is unknown. We sought to describe patient characteristics, expenditures, and use patterns of children with NC-CDs with the lowest (≤80th percentile), moderate (81-95th percentile), high (96-99th percentile), and the highest (≥99th percentile) expenditures.

METHODS

In this retrospective cross-sectional study, we used the 2014 Truven Medicaid MarketScan Database for claims from 11 states. We included continuously enrolled children (age <18 years) with NC-CDs (n = 1 563 233). We describe per member per year (PMPY) spending and use by each expenditure group for inpatient services, outpatient services, and the pharmacy for physical and mental health conditions. K-means clustering was used to identify expenditure types for the highest expenditure group.

RESULTS

Medicaid PMPY spending ranged from $1466 (lowest expenditures) to $57 300 (highest expenditures; P < .001); children in the highest expenditure group were diagnosed with a mental health condition twice as often (72.7% vs 34.1%). Cluster analysis was used to identify 3 distinct groups: 83% with high outpatient mental health expenditures (n = 13 033; median PMPY $18 814), 15% with high inpatient expenditures (n = 2386; median PMPY $92 950), and 1% with high pharmacy expenditures (n = 213; median $325 412). Mental health conditions accounted for half of the inpatient diagnoses in the cluster analysis.

CONCLUSIONS

One percent of children with the highest expenditures accounted for 20% of Medicaid expenditures in children with NC-CDs; mental health conditions account for a large proportion of aggregate Medicaid spending in children with NC-CDs.

The Diagnostic Accuracy of In-Hospital Weight Gain for Differentiating Neglect From Other Failure to Thrive Etiologies

OBJECTIVES

To investigate the association of in-hospital weight gain with failure to thrive (FTT) etiologies.

METHODS

With this retrospective cross-sectional study, we included children <2 years of age hospitalized for FTT between 2009 and 2012 at a tertiary care children's hospital. We excluded children with a gestational age <37 weeks, intrauterine growth restriction, acute illness, or preexisting complex chronic conditions. Average daily in-hospital weight gain was categorized as (1) below average or (2) average or greater for age. χ², Fisher's exact test, and 1-way analysis of variance tests were used to compare patient demographics, therapies, and FTT etiologies with categorical weight gain; multivariable logistic regression models tested for associations.

RESULTS

There were 331 children included. The primary etiologies of FTT were neglect (30.5%), gastroesophageal reflux disease (GERD) (28.1%), child-centered feeding difficulties (22.4%), and organic pathology (19.0%). Average or greater weight gain for age had a specificity of 22.2% and positive predictive value of 33.9% for differentiating neglect from other FTT etiologies. However, sensitivity and negative predictive value were 91.1% and 85.0%, respectively. After adjusting for demographics and therapies received, neglect (P = .02) and child-centered feeding difficulties (P = .01) were more likely to have average or greater weight gain for age compared with organic pathology. Children with GERD gained similarly (P = .11) to children with organic pathology.

CONCLUSIONS

In-hospital weight gain was nonspecific for differentiating neglect from other FTT etiologies. Clinicians should exercise caution when using weight gain alone to confirm neglect. Conversely, below average weight gain may be more useful in supporting GERD or organic pathologies but cannot fully rule out neglect.

Sexually Transmitted Infection Testing in Adolescents: Current Practices in the Hospital Setting

PURPOSE

Adolescents are disproportionately affected by sexually transmitted infections (STIs), and evidence supports expanding sexual health services to the hospital setting. Because STI testing practices in the hospital setting are poorly understood, we sought to describe current STI testing practices among adolescents seen in children's hospitals.

METHODS

We performed a retrospective analysis of adolescents (14-18 years old) from 45 children's hospitals in 2015-2016, excluding visits with a billing code for sexual abuse/assault. We calculated rates of STI testing and investigated differences in STI testing by patient and hospital characteristics using generalized linear mixed modeling.

RESULTS

Of the 541,714 adolescent encounters, 59,158 (10.9%) underwent STI testing. After adjusting for demographic characteristics, those with an STI test were more likely to be female (adjusted odds ratio [aOR] 1.61; 95% confidence interval [CI] 1.58-1.64), of non-Hispanic black race/ethnicity (aOR 1.20; 95% CI 1.17-1.23), or from the lowest median household income quartile (aOR 1.21; 95% CI 1.17-1.24). There was substantial inter-hospital variation in adjusted rates of STI testing (3%-24%), but strong correlation was observed between STI testing rates in the ED and inpatient settings within individual hospitals (adjusted R² .99).

CONCLUSIONS

Only one in ten adolescents seen in children's hospitals underwent STI testing with wide variation in testing patterns across hospitals. There are critical opportunities to increase adolescent STI testing in this setting. Our findings highlight potential disparities in STI testing rates and patterns that warrant further exploration from the patient, provider, and health system perspective.

The Effect of Lowering Public Insurance Income Limits on Hospitalizations for Low-Income Children

BACKGROUND AND OBJECTIVES

Thirty million children are currently covered by public insurance; however, the future funding and structure of public insurance are uncertain. Our objective was to determine the number, estimated costs, and demographic characteristics of hospitalizations that would become ineligible for public insurance reimbursement under 3 federal poverty level (FPL) eligibility scenarios.

METHODS

In this retrospective cohort study using the 2014 State Inpatient Databases, we included all pediatric (age <18) hospitalizations in 14 states from January 1, 2014, to December 31, 2014, with public insurance as the primary payer. We linked each patient's zip code to the American Community Survey to determine the likelihood of the patient being below 3 different public insurance income eligibility thresholds (300%, 200%, and 100% of the FPL). Multiple simulations were used to describe newly ineligible hospitalizations under each threshold.

RESULTS

In 775 460 publicly reimbursed hospitalizations in 14 states, reductions in eligibility limits to 300%, 200%, or 100% of the FPL would have resulted in large numbers of newly ineligible hospitalizations (∼155 000 [20% of hospitalizations] for 300%, 440 000 [57%] for 200%, and 650 000 [84%] for 100% of the FPL), equaling $1.2, $3.1, and $4.4 billion of estimated child hospitalization costs, respectively. Patient demographics differed only slightly under each eligibility threshold.

CONCLUSIONS

Reducing public insurance eligibility limits would have resulted in numerous pediatric hospitalizations not covered by public insurance, shifting costs to families, other insurers, or hospitals. Without adequately subsidized commercial insurance, this reflects a potentially substantial economic hardship for families and hospitals serving them.

Length of Stay and Cost of Pediatric Readmissions

BACKGROUND AND OBJECTIVES

Readmissions burden the health care system. Despite increasing attention to readmission rates, little is known about the duration and cost of readmissions. The objective of this study was to assess, nationally, the length of stay (LOS) and costs for 30-day readmissions in children.

METHODS

We performed a retrospective analysis of 30-day readmissions by using the 2013 Nationwide Readmissions Database. We used generalized linear mixed effects models adjusted for important clinical and demographic factors to assess LOS and cost for index admissions, readmissions, and the episode of care (index admission plus readmission).

RESULTS

A total of 125 183 (4.5%) children had a 30-day readmission; 87.1% of readmissions were to the same hospital. Readmitted children had an adjusted episode LOS that was 2 times longer (5.8 vs 2.9 days) and total costs that were 2.3 times higher ($12 250 vs $5340) than those who were not readmitted. Associations of readmissions with episode LOS and costs varied significantly by condition (P < .001). Children readmitted to a different versus the same hospital had an episode LOS that was the same (5.8 days; P = .279) but higher episode of care costs ($15 876 vs $11 661; P < .001).

CONCLUSIONS

Readmitted children spend twice as many days in the hospital compared with children who are not readmitted and have higher hospital costs, especially when readmitted to a different hospital. In addition to readmission rate, readmission metrics may benefit from measurement of total LOS and costs for both the index admission and its associated readmission.

Potential Opportunities for Prevention or Earlier Diagnosis of Child Physical Abuse in the Inpatient Setting

OBJECTIVES

To compare rates of previous inpatient visits among children hospitalized with child physical abuse (CPA) with controls as well as between individual abuse types.

METHODS

In this study, we used the Pediatric Health Information System administrative database of 44 children's hospitals. Children <6 years of age hospitalized with CPA between January 1, 2011, and September 30, 2015, were identified by discharge codes and propensity matched to accidental injury controls. Rates for previous visit types were calculated per 10 000 months of life. χ2 and Poisson regression were used to compare proportions and rates.

RESULTS

There were 5425 children hospitalized for CPA. Of abuse and accident cases, 13.1% and 13.2% had a previous inpatient visit, respectively. At previous visits, abused children had higher rates of fractures (rate ratio [RR] = 3.0 times; P = .018), head injuries (RR = 3.5 times; P = .005), symptoms concerning for occult abusive head trauma (AHT) (eg, isolated vomiting, seizures, brief resolved unexplained events) (RR = 1.4 times; P = .054), and perinatal conditions (eg, prematurity) (RR = 1.3 times; P = .014) compared with controls. Head injuries and symptoms concerning for occult AHT also more frequently preceded cases of AHT compared with other types of abuse (both P < .001).

CONCLUSIONS

Infants hospitalized with perinatal-related conditions, symptoms concerning for occult AHT, and injuries are inpatient populations who may benefit from abuse prevention efforts and/or risk assessments. Head injuries and symptoms concerning for occult AHT (eg, isolated vomiting, seizures, and brief resolved unexplained events) may represent missed opportunities to diagnose AHT in the inpatient setting; however, this requires further study.

Variation in Care and Clinical Outcomes in Children Hospitalized With Orbital Cellulitis

OBJECTIVES

To describe variation in the care of children hospitalized with orbital cellulitis and to determine associations with length of stay (LOS), emergency department (ED) revisits, and hospital readmissions.

METHODS

By using the Pediatric Health Information System, we performed a multicenter, retrospective study of children aged 2 months to 18 years with a primary International Classification of Diseases, Ninth Revision, Clinical Modification discharge diagnosis code for orbital cellulitis from 2007 to 2014. We assessed hospital-level variation in the use of diagnostic tests, corticosteroids, and antibiotics individually and in aggregate for association with outcomes (LOS, ED revisits, readmissions) after risk-adjusting for important clinical and demographic factors.

RESULTS

A total of 1828 children met inclusion criteria. Complete blood cell counts (median [interquartile range]: 81.8% [66.7-89.6]), C-reactive protein levels (57.1% [22.2-84.0]), blood cultures (57.9% [48.9-63.6]), and computed tomography imaging (74.7% [66.7-81.0]) were the most frequently performed diagnostic tests, with significant variation observed across hospitals (all P < .001). Corticosteroids were used in 29.2% of children (interquartile range: 18.4-37.5). There was significant variation in antibiotic exposure across hospitals (P < .001). Increased total diagnostic test usage was associated with increased LOS (P = .044), but not with 30-day ED revisits (P = .176) or readmissions (P = .403).

CONCLUSIONS

Children hospitalized with orbital cellulitis experience wide variation in clinical management. Increased hospital-level usage is associated with increased LOS. Our findings highlight a critical need to identify treatment strategies that optimize resource use and outcomes for children hospitalized with orbital cellulitis.

Health Care Expenditures and Utilization for Children With Noncomplex Chronic Disease

BACKGROUND

Pediatric health care expenditures and use vary by level of complexity and chronic illness. We sought to determine expenditures and use for children with noncomplex chronic diseases (NC-CDs).

METHODS

We performed a retrospective, cross-sectional analysis of Medicaid enrollees (ages 0-18 years) from January 1, 2012, through December 31, 2013, using administrative claims (the Truven MarketScan Medicaid Database). Patients were categorized by chronicity of illness by using 3M Health Information System's Clinical Risk Groups (CRGs) as follows: without chronic diseases (WO-CDs) (CRG 1-2), NC-CDs (CRG 3-5), and complex chronic diseases (C-CDs) (CRG 6-9). Primary outcomes were medical expenditures, including total annualized population expenditure and per-member per-year expenditure (PMPY). Secondary outcomes included the number of health care encounters over the 2-year period.

RESULTS

There were 2 424 946 children who met inclusion criteria, 53% were WO-CD; 36% had an NC-CD; and 11% had a C-CD. Children with NC-CDs accounted for 33% ($2801 PMPY) of the annual spending compared with 20% ($1151 PMPY) accounted for by children WO-CDs and 47% ($12 569 PMPY) by children with C-CDs. The median outpatient visit count by group over the 2-year period was 15 (interquartile range [IQR] 10-25) for NC-CD, 8 (IQR 5-13) WO-CD, and 34 (IQR 19-72) for C-CD.

CONCLUSIONS

Children with NC-CDs accounted for 33% of pediatric Medicaid expenditures and have significantly higher PMPY and aggregate annual expenditures than children WO-CDs. The annual aggregate expenditures of the NC-CD group represent a significant societal cost because of the high volume of children, extrapolated to ∼$34.9 billion annually in national Medicaid expenditures.

Association of Income Inequality With Pediatric Hospitalizations for Ambulatory Care-Sensitive Conditions

IMPORTANCE

The level of income inequality (ie, the variation in median household income among households within a geographic area), in addition to family-level income, is associated with worsened health outcomes in children.

OBJECTIVE

To determine the influence of income inequality on pediatric hospitalization rates for ambulatory care-sensitive conditions (ACSCs) and whether income inequality affects use of resources per hospitalization for ACSCs.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective, cross-sectional analysis used the 2014 State Inpatient Databases of the Healthcare Cost and Utilization Project of 14 states to evaluate all hospital discharges for patients aged 0 to 17 years (hereafter referred to as children) from January 1 through December 31, 2014.

EXPOSURES

Using the 2014 American Community Survey (US Census), income inequality (Gini index; range, 0 [perfect equality] to 1.00 [perfect inequality]), median household income, and total population of children aged 0 to 17 years for each zip code in the 14 states were measured. The Gini index for zip codes was divided into quartiles for low, low-middle, high-middle, and high income inequality.

MAIN OUTCOMES AND MEASURES

Rate, length of stay, and charges for pediatric hospitalizations for ACSCs.

RESULTS

A total of 79 275 hospitalizations for ACSCs occurred among the 21 737 661 children living in the 8375 zip codes in the 14 included states. After adjustment for median household income and state of residence, ACSC hospitalization rates per 10 000 children increased significantly as income inequality increased from low (27.2; 95% CI, 26.5-27.9) to low-middle (27.9; 95% CI, 27.4-28.5), high-middle (29.2; 95% CI, 28.6-29.7), and high (31.8; 95% CI, 31.2-32.3) categories (P < .001). A significant, clinically unimportant longer length of stay was found for high inequality (2.5 days; 95% CI, 2.4-2.5 days) compared with low inequality (2.4 days; 95% CI, 2.4-2.5 days; P < .001) zip codes and between charges ($765 difference among groups; P < .001).

CONCLUSIONS AND RELEVANCE

Children living in areas of high income inequality have higher rates of hospitalizations for ACSCs. Consideration of income inequality, in addition to income level, may provide a better understanding of the complex relationship between socioeconomic status and pediatric health outcomes for ACSCs. Efforts aimed at reducing rates of hospitalizations for ACSCs should consider focusing on areas with high income inequality.

Financial Loss for Inpatient Care of Medicaid-Insured Children

IMPORTANCE

Medicaid payments tend to be less than the cost of care. Federal Disproportionate Share Hospital (DSH) payments help hospitals recover such uncompensated costs of Medicaid-insured and uninsured patients. The Patient Protection and Affordable Care Act reduces DSH payments in anticipation of fewer uninsured patients and therefore decreased uncompensated care. However, unlike adults, few hospitalized children are uninsured, while many have Medicaid coverage. Therefore, DSH payment reductions may expose extensive Medicaid financial losses for hospitals serving large absolute numbers of children.

OBJECTIVES

To identify types of hospitals with the highest Medicaid losses from pediatric inpatient care and to estimate the proportion of losses recovered through DSH payments.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cross-sectional analysis evaluated Medicaid-insured hospital discharges of patients 20 years and younger from 23 states in the 2009 Kids' Inpatient Database. The dates of the analysis were March to September 2015. Hospitals were categorized as freestanding children's hospitals (FSCHs), children's hospitals within general hospitals, non-children's hospital teaching hospitals, and non-children's hospital nonteaching hospitals. Financial records of FSCHs in the data set were used to estimate the proportion of Medicaid losses recovered through DSH payments.

MAIN OUTCOMES AND MEASURES

Hospital financial losses from inpatient care of Medicaid-insured children (defined as the reimbursement minus the cost of care) were compared across hospital types. For our subsample of FSCHs, Medicaid-insured inpatient financial losses were calculated with and without each hospital's DSH payment.

RESULTS

The 2009 Kids' Inpatient Database study population included 1485 hospitals and 843 725 Medicaid-insured discharges. Freestanding children's hospitals had a higher median number of Medicaid-insured discharges (4082; interquartile range [IQR], 3524-5213) vs non-children's hospital teaching hospitals (674; IQR, 258-1414) and non-children's hospital nonteaching hospitals (161; IQR, 41-420). Freestanding children's hospitals had the largest median Medicaid losses from pediatric inpatient care (-$9 722 367; IQR, -$16 248 369 to -$2 137 902). Smaller losses were experienced by non-children's hospital teaching hospitals (-$204 100; IQR, -$1 014 100 to $14 700]) and non-children's hospital nonteaching hospitals (-$28 310; IQR, -$152 370 to $9040]). Disproportionate Share Hospital payments to FSCHs reduced their Medicaid losses by almost half.

CONCLUSIONS AND RELEVANCE

Estimated financial losses from pediatric inpatients covered by Medicaid were much larger for FSCHs than for other hospital types. For children's hospitals, small anticipated increases in insured children are unlikely to offset the reductions in DSH payments.

Association of Social Determinants With Children's Hospitals' Preventable Readmissions Performance

IMPORTANCE

Performance-measure risk adjustment is of great interest to hospital stakeholders who face substantial financial penalties from readmissions pay-for-performance (P4P) measures. Despite evidence of the association between social determinants of health (SDH) and individual patient readmission risk, the effect of risk adjusting for SDH on readmissions P4P penalties to hospitals is not well understood.

OBJECTIVE

To determine whether risk adjustment for commonly available SDH measures affects the readmissions-based P4P penalty status of a national cohort of children's hospitals.

DESIGN, SETTING, AND PARTICIPANTS

Retrospective cohort study of 43 free-standing children's hospitals within the Pediatric Health Information System database in the calendar year 2013. We evaluated hospital discharges from 2013 that met criteria for 3M Health Information Systems' potentially preventable readmissions measure for calendar year 2013. The analysis was conducted from July 2015 to August 2015.

EXPOSURES

Two risk-adjustment models: a baseline model adjusted for severity of illness and an SDH-enhanced model that adjusted for severity of illness and the following 4 SDH variables: race, ethnicity, payer, and median household income for the patient's home zip code.

MAIN OUTCOMES AND MEASURES

Change in a hospital's potentially preventable readmissions penalty status (ie, change in whether a hospital exceeded the penalty threshold) using an observed-to-expected potentially preventable readmissions ratio of 1.0 as a penalty threshold.

RESULTS

For the 179,400 hospital discharges from the 43 hospitals meeting inclusion criteria, median (interquartile range [IQR]) hospital-level percentages for the SDH variables were 39.2% nonwhite (n = 71,300; IQR, 28.6%-54.6%), 17.9% Hispanic (n = 32,060; IQR, 6.7%-37.0%), and 58.7% publicly insured (n = 106,116; IQR, 50.4%-67.8%). The hospital median household income for the patient's home zip code was $ 40,674 (IQR, $ 35,912-$ 46,190). When compared with the baseline model, adjustment for SDH resulted in a change in penalty status for 3 hospitals within the 15-day window (2 were no longer above the penalty threshold and 1 was newly penalized) and 5 hospitals within the 30-day window (3 were no longer above the penalty threshold and 2 were newly penalized).

CONCLUSIONS AND RELEVANCE

Risk adjustment for SDH changed hospitals' penalty status on a readmissions-based P4P measure. Without adjusting P4P measures for SDH, hospitals may receive penalties partially related to patient SDH factors beyond the quality of hospital care.

Caregiver Opinion of In-Hospital Screening for Unmet Social Needs by Pediatric Residents

OBJECTIVE

Child health is strongly influenced by social determinants. Little is known about the opinions of primary caregivers regarding the physicians' role in addressing social needs. Our objective was to examine caregivers' opinions about that role and any associations between those opinions, previous exposure to screening for needs by pediatric residents, and socioeconomic status (SES).

METHODS

Cross-sectional survey study of caregivers of hospitalized children. The survey collected information on caregiver opinion regarding their ability to ask physicians for help with social needs, whether physicians know how to help with those needs, and whether physicians should ask about social needs. The chi square test was used to identify associations between caregiver opinions, prior screening by a resident at admission, and SES (determined by census tract median household income).

RESULTS

Surveys were completed by 143 caregivers (79% participation). Most respondents agreed that they could ask their physician for help (54.5%), that their physician knows how to help (64.3%), and that physicians should ask about social needs (71.3%). Previously screened caregivers had more favorable opinions about asking for help (76.2% vs 45.5%, P < .01), whether their physician knows how to help (81.0% vs 57.4%, P = .02), and physician screening for unmet needs (85.7% vs 65.3%, P = .03). There were no SES differences in opinion.

CONCLUSIONS

Caregivers have favorable opinions of the physician's role in addressing the social determinants of health, especially after being screened. Physicians should be confident in the acceptability of screening families for social needs.

Multiple Behavior Change Intervention to Improve Detection of Unmet Social Needs and Resulting Resource Referrals

OBJECTIVE

It is critical that pediatric residents learn to effectively screen families for active and addressable social needs (ie, negative social determinants of health). We sought to determine 1) whether a brief intervention teaching residents about IHELP, a social needs screening tool, could improve resident screening, and 2) how accurately IHELP could detect needs in the inpatient setting.

METHODS

During an 18-month period, interns rotating on 1 of 2 otherwise identical inpatient general pediatrics teams were trained in IHELP. Interns on the other team served as the comparison group. Every admission history and physical examination (H&P) was reviewed for IHELP screening. Social work evaluations were used to establish the sensitivity and specificity of IHELP and document resources provided to families with active needs. During a 21-month postintervention period, every third H&P was reviewed to determine median duration of continued IHELP use.

RESULTS

A total of 619 admissions met inclusion criteria. Over 80% of intervention team H&Ps documented use of IHELP. The percentage of social work consults was nearly 3 times greater on the intervention team than on the comparison team (P < .001). Among H&Ps with documented use of IHELP, specificity was 0.96 (95% confidence interval 0.87-0.99) and sensitivity was 0.63 (95% confidence interval 0.50-0.73). Social work provided resources for 78% of positively screened families. The median duration of screening use by residents after the intervention was 8.1 months (interquartile range 1-10 months).

CONCLUSIONS

A brief intervention increased resident screening and detection of social needs, leading to important referrals to address those needs.