Pediatric Clinical Classification System for Use in Inpatient Settings

Differences in testing for drugs of abuse amongst racial and ethnic groups at children's hospitals

OBJECTIVES

Racial and ethnic differences in drug testing have been described among adults and newborns. Less is known regarding testing patterns among children and adolescents. We sought to describe the association between race and ethnicity and drug testing at US children's hospitals. We hypothesized that non-Hispanic White children undergo drug testing less often than children from other groups.

METHODS

We conducted a retrospective cohort study of emergency department (ED)-only encounters and hospitalizations for children diagnosed with a condition for which drug testing may be indicated (abuse or neglect, burns, malnutrition, head injury, vomiting, altered mental status or syncope, psychiatric, self-harm, and seizure) at 41 children's hospitals participating in the Pediatric Health Information System during 2018 and 2021. We compared drug testing rates among (non-Hispanic) Asian, (non-Hispanic) Black, Hispanic, and (non-Hispanic) White children overall, by condition and patient cohort (ED-only vs. hospitalized) and across hospitals.

RESULTS

Among 920,755 encounters, 13.6% underwent drug testing. Black children were tested at significantly higher rates overall (adjusted odds ratio [aOR]: 1.18; 1.05-1.33) than White children. Black-White testing differences were observed in the hospitalized cohort (aOR: 1.42; 1.18-1.69) but not among ED-only encounters (aOR: 1.07; 0.92-1.26). Asian, Hispanic, and White children underwent testing at similar rates. Testing varied by diagnosis and across hospitals.

CONCLUSIONS

Hospitalized Black children were more likely than White children to undergo drug testing at US children's hospitals, though this varied by diagnosis and hospital. Our results support efforts to better understand and address healthcare disparities, including the contributions of implicit bias and structural racism.

Pediatric Physical Restraint Coding in US Hospitals: A 2019 Kids Inpatient Database Study

BACKGROUND

Reduction of physical restraint utilization is a goal of high-quality hospital care, but there is little nationally-representative data about physical restraint utilization in hospitalized children in the United States. This study reports the rate of physical restraint coding among hospitalizations for patients aged 1 to 18 years old in the United States and explores associated demographic and diagnostic factors.

METHODS

The Kids' Inpatient Database, an all-payors database of community hospital discharges in the United States, was queried for hospitalizations with a diagnosis of physical restraint status in 2019. Logistic regression using patient sociodemographic characteristics was used to characterize factors associated with physical restraint coding.

RESULTS

A coded diagnosis of physical restraint status was present for 8893 (95% confidence interval [CI]: 8227-9560) hospitalizations among individuals aged 1 to 18 years old, or 0.63% of hospitalizations. Diagnoses associated with physical restraint varied by age, with mental health diagnoses overall the most frequent in an adjusted model, male sex (adjusted odds ratio [aOR] 1.56; 95% CI: 1.47-1.65), Black race (aOR 1.43; 95% CI: 1.33-1.55), a primary mental health or substance diagnosis (aOR 7.13; 95% CI: 6.42-7.90), Medicare or Medicaid insurance (aOR 1.33; 95% CI: 1.24-1.43), and more severe illness (aOR 2.83; 95% CI: 2.73-2.94) were associated with higher odds of a hospitalization involving a physical restraint code.

CONCLUSIONS

Physical restraint coding varied by age, sex, race, region, and disease severity. These results highlight potential disparities in physical restraint utilization, which may have consequences for equity.

Race, Ethnicity, and Intensive Care Utilization for Common Pediatric Diagnoses: U.S. Pediatric Health Information System 2019 Database Study

OBJECTIVES

Racial and ethnic disparities in healthcare delivery for acutely ill children are pervasive in the United States; it is unknown whether differential critical care utilization exists.

DESIGN

Retrospective study of the Pediatric Health Information System (PHIS) database.

SETTING

Multicenter database of academic children's hospitals in the United States.

PATIENTS

Children discharged from a PHIS hospital in 2019 with one of the top ten medical conditions where PICU utilization was present in greater than or equal to 5% of hospitalizations.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Race and ethnicity categories included Asian, Black, Hispanic, White, and other. Primary outcomes of interest were differences in rate of PICU admission, and for children requiring PICU care, total hospital length of stay (LOS). One-quarter (n = 44,200) of the 178,134 hospital discharges included a PICU admission. In adjusted models, Black children had greater adjusted odds ratio (aOR [95% CI]) of PICU admission in bronchiolitis (aOR, 1.08 [95% CI, 1.02-1.14]; p = 0.01), respiratory failure (aOR, 1.18 [95% CI, 1.10-1.28]; p < 0.001), seizure (aOR, 1.28 [95% CI, 1.08-1.51]; p = 0.004), and diabetic ketoacidosis (DKA) (aOR, 1.18 [95% CI, 1.05-1.32]; p = 0.006). Together, Hispanic, Asian, and other race children had greater aOR of PICU admission in five of the diagnostic categories, compared with White children. The geometric mean (± sd) hospital LOS ranged from 47.7 hours (± 2.1 hr) in croup to 206.6 hours (± 2.8 hr) in sepsis. After adjusting for demographics and illness severity, non-White children had longer LOS in respiratory failure, pneumonia, DKA, and sepsis.

CONCLUSIONS

The need for critical care to treat acute illness in children may be inequitable. Additional studies are needed to understand and eradicate differences in PICU utilization based on race and ethnicity.

Association of neighborhood opportunity and pediatric hospitalization rates in the United States

We examined associations between a validated, multidimensional measure of social determinants of health and population-based hospitalization rates among children <18 years across 18 states from the 2017 Healthcare Cost and Utilization Project State Inpatient Databases and the US Census. The exposure was ZIP code-level Child Opportunity Index (COI), a composite measure of neighborhood resources and conditions that matter for children's health. The cohort included 614,823 hospitalizations among a population of 29,244,065 children (21.02 hospitalizations per 1000). Adjusted hospitalization rates decreased significantly and in a stepwise fashion as COI increased (p < .001 for each), from 26.56 per 1000 (95% confidence interval [CI] 26.41-26.71) in very low COI areas to 14.76 per 1000 (95% CI 14.66-14.87) in very high COI areas (incidence rate ratio 1.8; 95% CI 1.78-1.81). Decreasing neighborhood opportunity was associated with increasing hospitalization rates among children in 18 US states. These data underscore the importance of social context and community-engaged solutions for health systems aiming to eliminate care inequities.

Severe Respiratory Disease Among Children With and Without Medical Complexity During the COVID-19 Pandemic

Importance

Severe respiratory disease declined during the COVID-19 pandemic, partially due to decreased circulation of respiratory pathogens. However, the outcomes of children with higher risk have not been described using population-based data.

Objective

To compare respiratory-related hospitalizations, intensive care unit (ICU) admissions, and mortality during the pandemic vs prepandemic, among children with medical complexity (CMC) and without medical complexity (non-CMC).

Design, Setting, and Participants

This population-based repeated cross-sectional study used Canadian health administrative data of children aged younger than 18 years in community and pediatric hospitals during a pandemic period (April 1, 2020, to February 28, 2022) compared with a 3-year prepandemic period (April 1, 2017, to March 31, 2020). The pandemic period was analyzed separately for year 1 (April 1, 2020, to March 31, 2021) and year 2 (April 1, 2021, to February 28, 2022). Statistical analysis was performed from October 2022 to April 2023.

Main Outcomes and Measures

Respiratory-related hospitalizations, ICU admissions, and mortality before and during the pandemic among CMC and non-CMC.

Results

A total of 139 078 respiratory hospitalizations (29 461 respiratory hospitalizations for CMC and 109 617 for non-CMC) occurred during the study period. Among CMC, there were fewer respiratory hospitalizations in both 2020 (rate ratio [RR], 0.44 [95% CI, 0.42-0.46]) and 2021 (RR, 0.55 [95% CI, 0.51-0.62]) compared with the prepandemic period. Among non-CMC, there was an even larger relative reduction in respiratory hospitalizations in 2020 (RR, 0.18 [95% CI, 0.17-0.19]) and a similar reduction in 2021 (RR, 0.55 [95% CI, 0.54-0.56]), compared with the prepandemic period. Reductions in ICU admissions for respiratory illness followed a similar pattern for CMC (2020: RR, 0.56 [95% CI, 0.53-0.59]; 2021: RR, 0.66 [95% CI, 0.63-0.70]) and non-CMC (2020: RR, 0.22 [95% CI, 0.20-0.24]; RR, 0.65 [95% CI, 0.61-0.69]). In-hospital mortality for these conditions decreased among CMC in both 2020 (RR, 0.63 [95% CI, 0.51-0.77]) and 2021 (RR, 0.72 [95% CI, 0.59-0.87]).

Conclusions and Relevance

This cross-sectional study found a substantial decrease in severe respiratory disease resulting in hospitalizations, ICU admissions, and mortality during the first 2 years of the pandemic compared with the 3 prepandemic years. These findings suggest that future evaluations of the effect of public health interventions aimed at reducing circulating respiratory pathogens during nonpandemic periods of increased respiratory illness may be warranted.

Epidemiology of pediatric hospitalizations at general hospitals and freestanding children's hospitals in the United States: 2019 update

BACKGROUND

General hospitals (GH) provide inpatient care for the majority of hospitalized children in the United States, yet the majority of hospital pediatrics research is conducted at freestanding children's hospitals.

OBJECTIVE

Updating a prior 2012 analysis, this study used 2019 data to describe characteristics of pediatric hospitalizations at general and freestanding hospitals in the United States and identify the most common and costly reasons for hospitalization in these settings.

DESIGNS, SETTING, AND PARTICIPANTS

This study examined hospitalizations in children <18 years using the Healthcare Cost and Utilization Project's 2019 Kids' Inpatient Database, stratifying neonatal and nonneonatal hospital stays.

INTERVENTION

Not applicable.

MAIN OUTCOME AND MEASURES

Sociodemographic and clinical differences between hospitalizations at general and freestanding children's hospitals were examined, applying survey weights to generate national estimates.

RESULTS

There were an estimated 5,263,218 pediatric hospitalizations in 2019, including 3,757,601 neonatal and 1,505,617 nonneonatal hospital stays. Overall, 88.6% (n = 4,661,288) of hospitalizations occurred at GH, including 97.6% of neonatal hospitalizations and 65.9% of nonneonatal hospitalizations. 11.4% (n = 601,930) of hospitalizations occurred at freestanding children's hospitals, including 2.4% (n = 88,313) of neonatal hospitalizations and 34.1% (n = 513,616) of nonneonatal hospitalizations. In total, 98.9% of complicated birth hospitalizations and 66.0% of neonatal nonbirth hospitalizations occurred at GH. Among nonneonatal stays, 85.2% of mental health hospitalizations, 63.5% of medical hospitalizations, and 61.3% of surgical hospitalizations occurred at GH.

Association of Pediatric Mortality With the Child Opportunity Index Among Children Presenting to the Emergency Department

OBJECTIVE

Child health and development is influenced by neighborhood context. The Child Opportunity Index (COI) is a multidimensional measure of neighborhood conditions. We sought to evaluate the association of COI with mortality among children presenting to the emergency department (ED).

METHODS

We performed a multicenter cross-sectional study of pediatric (<18 years) ED encounters from a statewide dataset from 2016 to 2020. We constructed a multivariable logistic regression model to evaluate the association between COI and in-hospital mortality after adjusting for sociodemographic characteristics and medical complexity.

RESULTS

Among 4,653,070 included encounters, in-hospital mortality occurred in 1855 (0.04%). There was a higher proportion of encounters with mortality in the lower COI categories relative to the higher COI categories (0.053%, 0.038%, 0.031%, 0.034%, 0.034% ranging from Very Low to Very High, respectively). In adjusted models, child residence in Low (adjusted odds ratio 1.26; 95% confidence interval [CI], 1.04-1.53) and Very Low (adjusted odds ratio 1.58; 95% CI, 1.31-1.90) COI neighborhoods was associated with mortality relative to residence in Very High COI neighborhoods. This association was noted across all domains of COI (education, health and environment, and social and economic), using an expanded definition of mortality, using nationally normed COI, and excluding patients with complex chronic conditions. Other factors associated with increased odds of mortality included age, medical complexity, payor status, age, and race and ethnicity.

CONCLUSIONS

Understanding the association of neighborhood context on child mortality can inform public health interventions to improve child mortality rates and reduce disparities.

Comparing two definitions of pediatric complexity among children cared for in general and pediatric emergency departments in a statewide sample

Objective

The number of children cared for in emergency departments (EDs) with medical complexity continues to rise. We sought to identify the concordance between 2 commonly used criteria of medical complexity among children presenting to a statewide sample of EDs.

Methods

We conducted a retrospective cross-sectional study of children presenting to a statewide sample of Illinois EDs between 2016 and 2021. We classified patients as having medical complexity when using 2 definitions (≥1 pediatric Complex Chronic Condition [CCC] or complex chronic disease using the Pediatric Medical Complexity Algorithm [PMCA]) and compared their overlap and clinical outcomes.

Results

Of 6,550,296 pediatric ED encounters, CCC criteria and PMCA criteria were met in 217,609 (3.3%) and 175,708 (2.7%) encounters, respectively. Among patients with complexity, 100,015 (34.1%) met both criteria, with moderate agreement (κ = 0.49). Children with complexity by CCC had similar rates of presentation to a pediatric hospital (16.3% vs 14.8%), admission (28.5% vs 33.7%), ICU stay (10.0% vs 10.1%), and in-hospital mortality (0.5% vs 0.5%) compared to children with complexity by PMCA. The most common visit diagnoses for children with CCCs were related to sickle cell disease with crisis (3.9%), abdominal pain (3.6%), and non-specific chest pain (2.7%). The most common diagnoses by PMCA were related to depressive disorders (4.9%), sickle cell disease with crisis (4.8%), and seizures (3.2%).

Conclusions and Relevance

The CCC and PMCA criteria of multisystem complexity identified different populations, with moderate agreement. Careful selection of operational definitions is required for proper application and interpretation in clinical and health services research.

Child Opportunity Index and Emergent PICU Readmissions: A Retrospective, Cross-Sectional Study of 43 U.S. Hospitals

OBJECTIVES

To examine the association between a validated composite measure of neighborhood factors, the Child Opportunity Index (COI), and emergent PICU readmission during the year following discharge for survivors of pediatric critical illness.

DESIGN

Retrospective cross-sectional study.

SETTING

Forty-three U.S. children's hospitals contributing to the Pediatric Health Information System administrative dataset.

PATIENTS

Children (< 18 yr) with at least one emergent PICU admission in 2018-2019 who survived an index admission.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 78,839 patients, 26% resided in very low COI neighborhoods, 21% in low COI, 19% in moderate COI, 17% in high COI, and 17% in very high COI neighborhoods, and 12.6% had an emergent PICU readmission within 1 year. After adjusting for patient-level demographic and clinical factors, residence in neighborhoods with moderate, low, and very low COI was associated with increased odds of emergent 1-year PICU readmission relative to patients in very high COI neighborhoods. Lower COI levels were associated with readmission in diabetic ketoacidosis and asthma. We failed to find an association between COI and emergent PICU readmission in patients with an index PICU admission diagnosis of respiratory conditions, sepsis, or trauma.

CONCLUSIONS

Children living in neighborhoods with lower child opportunity had an increased risk of emergent 1-year readmission to the PICU, particularly children with chronic conditions such as asthma and diabetes. Assessing the neighborhood context to which children return following critical illness may inform community-level initiatives to foster recovery and reduce the risk of adverse outcomes.

The occurrence of delirium diagnosis among youth hospitalizations in the United States: A Kids' Inpatient Database analysis

OBJECTIVES

Delirium is an acute neuropsychiatric condition associated with increased morbidity and mortality. There is increasing recognition of delirium as a substantial health burden in younger patients, although few studies have characterized its occurrence. This study analyzes the occurrence of delirium diagnosis, its comorbidities, and cost among youth hospitalized in the United States.

METHODS

The Kids' Inpatient Database, a national all-payers sample of pediatric hospitalizations in general hospitals, was examined for the year 2019. Hospitalizations with a discharge diagnosis of delirium among patients aged 1-20 years were included in the analysis.

RESULTS

Delirium was diagnosed in 43,138 hospitalizations (95% CI: 41,170-45,106), or 2.3% of studied hospitalizations. Delirium was diagnosed in a broad range of illnesses, with suicide and self-inflicted injury as the most common primary discharge diagnosis among patients with delirium. In-hospital mortality was seven times greater in hospitalizations caring a delirium diagnosis. The diagnosis of delirium was associated with an adjusted increased hospital cost of $8648 per hospitalization, or $373 million in aggregate cost.

CONCLUSIONS

Based on a large national claims database, delirium was diagnosed in youth at a lower rate than expected based on prospective studies. The relative absence of delirium diagnosis in claims data may reflect underdiagnosis, a failure to code, and/or a lower rate of delirium in general hospitals compared with other settings. Further research is needed to better characterize the incidence and prevalence of delirium in young people in the hospital setting.

The use of electroconvulsive therapy for children and adolescents in general hospitals: A 2019 kids' inpatient database analysis

OBJECTIVE

Electroconvulsive therapy (ECT) devices are classified as class II (moderate risk) for the treatment of depressive disorders and catatonia in patients aged 13 and older, but it is unknown how often the treatment is utilized by child and adolescent patients. The aim of this study was to examine the demographics of child and adolescent hospitalizations involving ECT, the medical and psychiatric comorbidities of these hospitalizations, and the overall number of treatments administered per hospitalization.

METHOD

The 2019 Kids' Inpatient Database, a national sample of pediatric discharges from 3998 acute care hospitals, was analyzed for hospitalizations involving patients aged 19 and younger receiving ECT based on inpatient procedural codes.

RESULTS

315 (95% confidence interval 275 to 354) discharges among child and adolescent patients, or 0.03% of youth hospitalizations, involved the administration of ECT in the KID in 2019. Hospitalizations in the Northeast, those involving patients residing in ZIP codes in the top income quartile, and those for commercially insured patients had higher odds of ECT administration. Primary discharge diagnoses among ECT recipients were major depressive disorder (143; 46.4%), schizophrenia and other psychotic disorders (71; 23.1%) and bipolar disorder (59; 19.2%). In total 153 (48.6%) of ECT recipients had a coded diagnosis of suicidal ideation. Hospitalizations involved a median of 2 (IQR 1 to 5) ECT treatments before discharge.

CONCLUSIONS

ECT is rarely utilized in the inpatient treatment of child and adolescent patients, but is most often administered to patients with mood and psychotic disorders. Commercial insurance and higher income were associated with higher odds of ECT administration, suggesting that access to care may be limited.

Hospitalizations at United States Children's Hospitals and Severity of Illness by Neighborhood Child Opportunity Index

OBJECTIVE

To describe the association between neighborhood opportunity measured by the Child Opportunity Index 2.0 (COI) and patterns of hospital admissions and disease severity among children admitted to US pediatric hospitals.

STUDY DESIGN

Retrospective, cross-sectional study of 773 743 encounters for children <18 years of age admitted to US children's hospitals participating in the Pediatric Health Information System database 7/2020-12/2021.

RESULTS

The proportion of children from each COI quintile was inversely related to the degree of neighborhood opportunity. The difference between the proportion of patients from Very Low COI and Very High COI ranged from +32.0% (type 2 diabetes mellitus with complications) to -14.1% (mood disorders). The most common principal diagnoses were acute bronchiolitis, respiratory failure/insufficiency, chemotherapy, and asthma. Of the 45 diagnoses which occurred in ≥0.5% of the cohort, 22, including type 2 diabetes mellitus, asthma, and sleep apnea had higher odds of occurring in lower COI tiers in multivariable analysis. Ten diagnoses, including mood disorders, neutropenia, and suicide and intentional self-inflicted injury had lower odds of occurring in the lower COI tiers. The proportion of patients needing critical care and who died increased, as neighborhood opportunity decreased.

CONCLUSIONS

Pediatric hospital admission diagnoses and severity of illness are disproportionately distributed across the range of neighborhood opportunity, and these differences persist after adjustment for factors including race/ethnicity and payor status, suggesting that these patterns in admissions reflect disparities in neighborhood resources and differential access to care.

Biomarkers and their association with bacterial illnesses in hypothermic infants

OBJECTIVES

To describe the association of biomarkers with serious bacterial infection (SBI; urinary tract infection [UTI], bacteremia and/or bacterial meningitis) in hypothermic infants presenting to the emergency department (ED).

METHODS

We performed a cross sectional study in four academic pediatric EDs from January 2015 through December 2019, including infants ≤90 days old presenting with a rectal temperature of ≤36.4 °C. We constructed receiver operating characteristic (ROC) curves to evaluate the accuracy of blood biomarkers including white blood cell count (WBC), absolute neutrophil count (ANC) and platelets for identifying SBI, with exploratory analyses evaluating procalcitonin and band counts.

RESULTS

Among 850 included infants (53.5% males; median days of age 13 [IQR 5-58 days]), SBI were found in 55 (6.5%). For infants with SBI, the area under the curve (AUC; 95% confidence interval) for WBC was 0.70 (0.61-0.78) with sensitivity 0.64 (0.50-0.74) and specificity 0.77 (0.74-0.80). The AUC for ANC was 0.77 (0.70-0.84) with sensitivity 0.69 (0.55-0.81) and specificity 0.77 (0.74-0.8). For platelets, the AUC was 0.6 (0.52-0.67) with sensitivity 0.73 (0.59-0.84) and specificity 0.5 (0.46-0.53). Both the WBC and ANC were minimally accurate for identifying hypothermic infants with SBI. When looking at the accuracy of these biomarkers for identifying invasive bacterial infection (IBI; bacteremia and/or bacterial meningitis), ANC again showed minimal accuracy with an AUC of 0.70 (0.55-0.85).

CONCLUSIONS

Biomarkers commonly used as part of an infectious workup are generally poor at identifying SBI in hypothermic infants. Our findings from this cohort of hypothermic infants are similar to those reported from febrile infants, suggesting similarities in the bioresponse to infection between hypothermic and febrile infants. Additional research is required to improve risk stratification for hypothermic infants, and to better guide evaluation and management.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Characteristics and Outcomes of Children Discharged With Nasoenteral Feeding Tubes

OBJECTIVES

To describe the characteristics and outcomes of children discharged from the hospital with new nasoenteral tube (NET) use after acute hospitalization.

METHODS

Retrospective cohort study using multistate Medicaid data of children <18 years old with a claim for tube feeding supplies within 30 days after discharge from a nonbirth hospitalization between 2016 and 2019. Children with a gastrostomy tube (GT) or requiring home NET use in the 90 days before admission were excluded. Outcomes included patient characteristics and associated diagnoses, 30-day emergency department (ED-only) return visits and readmissions, and subsequent GT placement.

RESULTS

We identified 1815 index hospitalizations; 77.8% were patients ≤5 years of age and 81.7% had a complex chronic condition. The most common primary diagnoses associated with index hospitalization were failure to thrive (11%), malnutrition (6.8%), and acute bronchiolitis (5.9%). Thirty-day revisits were common (49%), with 26.4% experiencing an ED-only return and 30.9% hospital readmission. Revisits with a primary diagnosis code for tube displacement/dysfunction (10.7%) or pneumonia/pneumonitis (0.3%) occurred less frequently. A minority (16.9%) of patients progressed to GT placement within 6 months, 22.3% by 1 year.

CONCLUSIONS

Children with a variety of acute and chronic conditions are discharged from the hospital with NET feeding. All-cause 30-day revisits are common, though revisits coded for specific tube-related complications occurred less frequently. A majority of patients do not progress to GT within a year. Home NET feeding may be useful for facilitating discharge among patients unable to meet their oral nutrition goals but should be weighed against the high revisit rate.

Healthcare utilization in children across the care continuum during the COVID-19 pandemic

Objectives

Healthcare utilization decreased during the COVID-19 pandemic, likely due to reduced transmission of infections and healthcare avoidance. Though various investigations have described these changing patterns in children, most have analyzed specific care settings. We compared healthcare utilization, prescriptions, and diagnosis patterns in children across the care continuum during the first year of the pandemic with preceding years.

Study design

Using national claims data, we compared enrollees under 18 years during the pre-pandemic (January 2016 –mid-March 2020) and pandemic (mid-March 2020 through March 2021) periods. The pandemic was further divided into early (mid-March through mid-June 2020) and middle (mid-June 2020 through March 2021) periods. Utilization was compared using interrupted time series.

Results

The mean number of pediatric enrollees/month was 2,519,755 in the pre-pandemic and 2,428,912 in the pandemic period. Utilization decreased across all settings in the early pandemic, with the greatest decrease (76.9%, 95% confidence interval [CI] 72.6–80.5%) seen for urgent care visits. Only well visits returned to pre-pandemic rates during the mid-pandemic. Hospitalizations decreased by 43% (95% CI 37.4–48.1) during the early pandemic and were still 26.6% (17.7–34.6) lower mid-pandemic. However, hospitalizations in non-psychiatric facilities for various mental health disorders increased substantially mid-pandemic.

Conclusion

Healthcare utilization in children dropped substantially during the first year of the pandemic, with a shift away from infectious diseases and a spike in mental health hospitalizations. These findings are important to characterize as we monitor the health of children, can be used to inform healthcare strategies during subsequent COVID-19 surges and/or future pandemics, and may help identify training gaps for pediatric trainees. Subsequent investigations should examine how changes in healthcare utilization impacted the incidence and outcomes of specific diseases.

Pediatric Clinical Classification System for use in Canadian inpatient settings

Background

A classification system that categorizes International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnosis codes into clinically meaningful categories is important for pediatric clinical and health services research using administrative data. While a Pediatric Clinical Classification System (PECCS) is available for the United States ICD-10 system (i.e, ICD-10-CM), differences in the ICD-10 system between countries limits PECCS use in Canada.

Objective

To translate PECCS from ICD-10-CM to ICD-10-CA for use in Canada (PECCS-CA), and examine the utility of PECCS-CA in administrative data of pediatric hospital encounters in Ontario, Canada.

Methods

PECCS was translated by mapping each ICD-10-CA code to its corresponding ICD-10-CM code, based on code description and alphanumeric code, using automated functions in Microsoft Excel. All unmatched ICD-10-CA codes were manually matched to an ICD-10-CM code. The ICD-10-CA codes were mapped to a PECCS category based on the placement of the corresponding ICD-10-CM code. Finally, in this cross-sectional study, the utility of PECCS-CA was examined in pediatric hospital encounters in children <18 years of age with an inpatient or same day surgery encounter, between April 1, 2014 to March 31, 2019 in Ontario.

Results

In total, 16,992 ICD-10-CA diagnosis codes were mapped to 781 mutually exclusive condition categories that included pediatric specific conditions and treatments in PECCS-CA. From the 781 categories, 777 (99.5%) were derived from the original PECCS, 3 (0.4%) from merging the original PECCS categories, and 1 (0.1%) was newly developed. The PECCS-CA was applied to health administrative data of 911,732 hospital encounters in children. The most prevalent condition in children was low birth weight (n = 54,100 encounters).

Conclusion

The PECCS-CA is an open-source classification system which maps ICD-10-CA codes into 781 clinically important pediatric categories. The PECCS-CA can be used for pediatric health services and outcomes research in Canada.

Prevalence, Cost, and Variation in Cost of Pediatric Hospitalizations in Ontario, Canada

IMPORTANCE

Identifying conditions that could be prioritized for research based on health care system burden is important for developing a research agenda for the care of hospitalized children. However, existing prioritization studies are decades old or do not include data from both pediatric and general hospitals.

OBJECTIVE

To assess the prevalence, cost, and variation in cost of pediatric hospitalizations at all general and pediatric hospitals in Ontario, Canada, with the aim of identifying conditions that could be prioritized for future research.

DESIGN, SETTING, AND PARTICIPANTS

This population-based cross-sectional study used health administrative data from 165 general and pediatric hospitals in Ontario, Canada. Children younger than 18 years with an inpatient hospital encounter between April 1, 2014, and March 31, 2019, were included.

MAIN OUTCOMES AND MEASURES

Condition-specific prevalence, cost of pediatric hospitalizations, and condition-specific variation in cost per inpatient encounter across hospitals. Variation in cost was evaluated using (1) intraclass correlation coefficient (ICC) and (2) number of outlier hospitals. Costs were adjusted for inflation to 2018 US dollars.

RESULTS

Overall, 627 314 inpatient hospital encounters (44.8% among children younger than 30 days and 53.0% among boys) at 165 hospitals (157 general and 8 pediatric) costing $3.3 billion were identified. A total of 408 003 hospitalizations (65.0%) and $1.4 billion (43.8%) in total costs occurred at general hospitals. Among the 50 most prevalent and 50 most costly conditions (of 68 total conditions), the top 10 highest-cost conditions accounted for 55.5% of all costs and 48.6% of all encounters. The conditions with highest prevalence and cost included low birth weight (86.2 per 1000 encounters; $676.3 million), preterm newborn (38.0 per 1000 encounters; $137.4 million), major depressive disorder (20.7 per 1000 encounters; $78.3 million), pneumonia (27.3 per 1000 encounters; $71.6 million), other perinatal conditions (68.0 per 1000 encounters; $65.8 million), bronchiolitis (25.4 per 1000 encounters; $54.6 million), and neonatal hyperbilirubinemia (47.9 per 1000 encounters; $46.7 million). The highest variation in cost per encounter among the most costly medical conditions was observed for 2 mental health conditions (other mental health disorders [ICC, 0.28] and anxiety disorders [ICC, 0.19]) and 3 newborn conditions (intrauterine hypoxia and birth asphyxia [ICC, 0.27], other perinatal conditions [ICC, 0.17], and surfactant deficiency disorder [ICC, 0.17]).

CONCLUSIONS AND RELEVANCE

This population-based cross-sectional study of hospitalized children identified several newborn and mental health conditions as having the highest prevalence, cost, and variation in cost across hospitals. Findings of this study can be used to develop a research agenda for the care of hospitalized children that includes general hospitals and to ultimately build a more substantial evidence base and improve patient outcomes.

The Incidence of Catatonia Diagnosis Among Pediatric Patients Discharged From General Hospitals in the United States: A Kids' Inpatient Database Study

OBJECTIVE

Catatonia is a neuropsychiatric condition occurring across the age spectrum and associated with great morbidity and mortality. While prospective cohorts have investigated catatonia incidence among psychiatric patients, no studies have comprehensively explored the incidence of catatonia in general hospitals. We examine the incidence of catatonia diagnosis, demographics of catatonia patients, comorbidities, and inpatient procedures utilized among pediatric patients hospitalized with catatonia in the United States.

METHODS

The Kids' Inpatient Database, a national all-payors sample of pediatric hospitalizations in general hospitals, was examined for the year 2019. Hospitalizations with a discharge diagnosis of catatonia were included in the analysis. Hospitalizations with catatonia as the primary discharge diagnosis were compared to hospitalizations with catatonia as a secondary discharge diagnosis.

RESULTS

A total of 900 (95% CI: 850-949) pediatric discharges (291 with catatonia as a primary diagnosis, 609 with catatonia as a secondary diagnosis) occurred during the study year. Mean age was 15.6 ± 2.6 years, and 9.9% were under age 13. Comorbidities were common among patients with catatonia, with psychotic disorders (165; 18.3%), major depressive disorder (69; 7.7%), bipolar disorder (39; 4.3%) and substance-related disorders (20; 2.2%) as the most common primary diagnoses. There was significant comorbidity with neurologic illness, developmental disorders, autism spectrum disorder, and inflammatory conditions. In total 390 catatonia discharges (43.3%) included at least one procedure during admission.

CONCLUSIONS

catatonia is rarely diagnosed in pediatric patients in general hospitals but is associated with significant and severe psychiatric and medical comorbidities. Further research is needed into the optimal diagnosis, workup, and treatment of catatonia in pediatric patients.

Identifying Conditions With High Prevalence, Cost, and Variation in Cost in US Children's Hospitals

IMPORTANCE

Identifying high priority pediatric conditions is important for setting a research agenda in hospital pediatrics that will benefit families, clinicians, and the health care system. However, the last such prioritization study was conducted more than a decade ago and used International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes.

OBJECTIVES

To identify conditions that should be prioritized for comparative effectiveness research based on prevalence, cost, and variation in cost of hospitalizations using contemporary data at US children's hospitals.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study of children with hospital encounters used data from the Pediatric Health Information System database. Children younger than 18 years with inpatient hospital encounters at 45 tertiary care US children's hospitals between January 1, 2016, and December 31, 2019, were included. Data were analyzed from March 2020 to April 2021.

MAIN OUTCOMES AND MEASURES

The condition-specific prevalence and total standardized cost, the corresponding prevalence and cost ranks, and the variation in standardized cost per encounter across hospitals were analyzed. The variation in cost was assessed using the number of outlier hospitals and intraclass correlation coefficient.

RESULTS

There were 2 882 490 inpatient hospital encounters (median [interquartile range] age, 4 [1-12] years; 1 554 024 [53.9%] boys) included. Among the 50 most prevalent and 50 most costly conditions (total, 74 conditions), 49 (66.2%) were medical, 15 (20.3%) were surgical, and 10 (13.5%) were medical/surgical. The top 10 conditions by cost accounted for $12.4 billion of $33.4 billion total costs (37.4%) and 592 815 encounters (33.8% of all encounters). Of 74 conditions, 4 conditions had an intraclass correlation coefficient (ICC) of 0.30 or higher (ie, major depressive disorder: ICC, 0.49; type 1 diabetes with complications: ICC, 0.36; diabetic ketoacidosis: ICC, 0.33; acute appendicitis without peritonitis: ICC, 0.30), and 9 conditions had an ICC higher than 0.20 (scoliosis: ICC, 0.27; hypertrophy of tonsils and adenoids: ICC, 0.26; supracondylar fracture of humerus: ICC, 0.25; cleft lip and palate: ICC, 0.24; acute appendicitis with peritonitis: ICC, 0.21). Examples of conditions high in prevalence, cost, and variation in cost included major depressive disorder (cost rank, 19; prevalence rank, 10; ICC, 0.49), scoliosis (cost rank, 6; prevalence rank, 38; ICC, 0.27), acute appendicitis with peritonitis (cost rank, 13; prevalence rank, 11; ICC, 0.21), asthma (cost rank, 10; prevalence rank, 2; ICC, 0.17), and dehydration (cost rank, 24; prevalence rank, 8; ICC, 0.18).

CONCLUSIONS AND RELEVANCE

This cohort study found that major depressive disorder, scoliosis, acute appendicitis with peritonitis, asthma, and dehydration were high in prevalence, costs, and variation in cost. These results could help identify where future comparative effectiveness research in hospital pediatrics should be targeted to improve the care and outcomes of hospitalized children.

Reasons for Admissions to US Children's Hospitals During the COVID-19 Pandemic

This study uses Pediatric Health Information System database data to compare hospitalizations in US children’s hospitals early in the COVID-19 pandemic (March-August 2020) vs the same period in 2017-2019, overall and for respiratory, chronic, nonrespiratory, and other conditions.