A Successful Collaboration Between an Urban School District, a Health System, and a Public Health Department to Address COVID-19 While Returning Children to the Classroom.

We sought to create and implement a set of COVID-19 mitigation processes including reliable testing to minimize in-school transmission of SARS-CoV-2. A large urban school district (> 33,000 students), a city health department, and a free-standing children's hospital partnered to implement multi-layered mitigation procedures which included access to polymerase chain reaction (PCR) testing with same day or next morning results. We tracked COVID-19 cases as well as probable/confirmed transmissions and identified needed mitigations through frequent huddles. During the 2020-2021 school year, there were 13 weeks of hybrid in person learning and 9 weeks of 5 day a week learning. Of the 1936 cases documented, only 3.2% resulted in subsequent school-related transmission. When children felt ill in the classroom, they were isolated within 10 min of reporting ill symptoms (> 90% of the time). PCR test results were routinely available to the school district by 6AM the following morning (79-99% of the time, depending on the learning model). An adaptive, fast-learning partnership across school district, public health, and a children's hospital minimized school-related transmission of COVID-19 and allowed children to safely return to the classroom.

Short-term Focused Feedback: A Model to Enhance Patient Engagement in Research and Intervention Delivery.

BACKGROUND: Our grant from the Patient-Centered Outcomes Research Institute (PCORI) focused on the use of nurse home visits postdischarge for primarily pediatric hospital medicine patients. While our team recognized the importance of engaging parents and other stakeholders in our study, our project was one of the first funded to address transitions of care issues in patients without chronic illness; little evidence existed about how to engage acute stakeholders longitudinally. OBJECTIVE: This manuscript describes how we used both a short-term focused feedback model and longitudinal engagement methods to solicit input from parents, home care nurses, and other stakeholders throughout our 3-year study. RESULTS: Short-term focused feedback allowed the study team to collect feedback from hundreds of stakeholders. Initially, we conducted focus groups with parents with children recently discharged from the hospital. We used this feedback to modify our nurse home visit intervention, then used quality improvement methods with continued short-term focus feedback from families and nurses delivering the visits to adjust the visit processes and content. We also used their feedback to modify the outcome collection. Finally, during the randomized controlled trial, we added a parent to the study team to provide longitudinal input, as well as continued to solicit short-term focused feedback to increase recruitment and retention rates. CONCLUSION: Research studies can benefit from soliciting short-term focused feedback from many stakeholders; having this variety of perspectives allows for many voices to be heard, without placing an undue burden on a few stakeholders.

Paediatric clinical and social concerns identified by home visit nurses in the immediate postdischarge period.

AIM: To describe paediatric postdischarge concerns manifesting in the first 96 hr after hospital discharge. DESIGN: Analysis of nursing documentation generated as part of a randomized controlled trial evaluating the effect of a nurse home visit on healthcare re-use. METHODS: We analysed home visit records of 651 children (age <18) hospitalized at a large Midwestern children's hospital in 2015 and 2016 who were enrolled in the trial. Registered nurses documented concerns in structured fields and free-text notes in visit records. Descriptive statistics were used to summarize visit documentation. Free-text visit notes were reviewed and exemplars illustrative of quantitative findings were selected. RESULTS: Overall, nurses documented at least one concern in 56% (N = 367) of visits. Most commonly, they documented concerns about medication safety (15% or 91 visits). Specifically, in 11% (N = 58) of visits nurses were concerned that caregivers lacked a full understanding of medications and in 8% (N = 49) of visits families did not have prescribed discharge medications. Pain was documented as present in 9% of all visits (N = 56). Nurses completed referrals to other providers/services in 12% of visits (N = 78), most frequently to primary care providers. In 13% of visits (N = 85) nurses documented concerns considered beyond the immediate scope of the visit related to social needs such as housing and transportation. CONCLUSION: Inpatient and community nurses and physicians should be prepared to reconcile and manage discharge medications, assess families' medication administration practices and anticipate social needs after paediatric discharge. IMPACT: Little empirical data are available describing concerns manifesting immediately after paediatric hospital discharge. Concerns about medication safety were most frequent followed by concerns related to housing and general safety. The results are important for clinicians preparing children and families for discharge and for community clinicians caring for discharged children.

Association Between Statewide School Closure and COVID-19 Incidence and Mortality in the US.

Importance: In the US, states enacted nonpharmaceutical interventions, including school closure, to reduce the spread of coronavirus disease 2019 (COVID-19). All 50 states closed schools in March 2020 despite uncertainty if school closure would be effective. Objective: To determine if school closure and its timing were associated with decreased COVID-19 incidence and mortality. Design, Setting, and Participants: US population-based observational study conducted between March 9, 2020, and May 7, 2020, using interrupted time series analyses incorporating a lag period to allow for potential policy-associated changes to occur. To isolate the association of school closure with outcomes, state-level nonpharmaceutical interventions and attributes were included in negative binomial regression models. States were examined in quartiles based on state-level COVID-19 cumulative incidence per 100 000 residents at the time of school closure. Models were used to derive the estimated absolute differences between schools that closed and schools that remained open as well as the number of cases and deaths if states had closed schools when the cumulative incidence of COVID-19 was in the lowest quartile compared with the highest quartile. Exposures: Closure of primary and secondary schools. Main Outcomes and Measures: COVID-19 daily incidence and mortality per 100 000 residents. Results: COVID-19 cumulative incidence in states at the time of school closure ranged from 0 to 14.75 cases per 100 000 population. School closure was associated with a significant decline in the incidence of COVID-19 (adjusted relative change per week, -62% [95% CI, -71% to -49%]) and mortality (adjusted relative change per week, -58% [95% CI, -68% to -46%]). Both of these associations were largest in states with low cumulative incidence of COVID-19 at the time of school closure. For example, states with the lowest incidence of COVID-19 had a -72% (95% CI, -79% to -62%) relative change in incidence compared with -49% (95% CI, -62% to -33%) for those states with the highest cumulative incidence. In a model derived from this analysis, it was estimated that closing schools when the cumulative incidence of COVID-19 was in the lowest quartile compared with the highest quartile was associated with 128.7 fewer cases per 100 000 population over 26 days and with 1.5 fewer deaths per 100 000 population over 16 days. Conclusions and Relevance: Between March 9, 2020, and May 7, 2020, school closure in the US was temporally associated with decreased COVID-19 incidence and mortality; states that closed schools earlier, when cumulative incidence of COVID-19 was low, had the largest relative reduction in incidence and mortality. However, it remains possible that some of the reduction may have been related to other concurrent nonpharmaceutical interventions.

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

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

Characteristics of Pediatric Emergency Revisits After an Asthma-Related Hospitalization.

STUDY OBJECTIVE: We identify and characterize factors related to subsequent emergency revisits among children hospitalized for asthma. METHODS: This population-based, prospective, observational cohort included children aged 2 to 16 years, hospitalized for asthma at an urban pediatric facility and followed for greater than or equal to 12 months. The primary outcome was asthma-related emergency revisit within 12 months of discharge. Revisits were identified by billing codes, respiratory chief complaints, and medications administered (eg, albuterol, systemic corticosteroids), dispensed, or prescribed. Predictors and covariates include demographic, socioeconomic, access, and environmental exposure variables collected during index admission. Multivariable logistic regression was used to evaluate the association between predictors and odds of asthma-related revisit. RESULTS: A total of 671 children were enrolled; the majority were boys (65%), aged 4 to 11 years (59%), black (59%), and publicly insured (73%). There were 274 patients (41%) who were treated for asthma-related emergency revisits within 12 months of the index admission. In adjusted models, younger children, black children, children with excellent reported access to primary care, and children with a history of inhaled steroids were more likely to experience emergency revisits. Low income, detectable cotinine levels, and traffic exposure did not independently predict revisit. CONCLUSION: Asthma-related emergency revisit is common after hospitalization, with more than 40% of children returning within 12 months. Socioeconomic and exposure-related risk factors typically predictive of asthma morbidity were not independently associated with emergency revisit among children in this cohort.

A Validated Method for Identifying Unplanned Pediatric Readmission.

OBJECTIVE: To validate the accuracy of pre-encounter hospital designation as a novel way to identify unplanned pediatric readmissions and describe the most common diagnoses for unplanned readmissions among children. STUDY DESIGN: We examined all hospital discharges from 2 tertiary care children's hospitals excluding deaths, normal newborn discharges, transfers to other institutions, and discharges to hospice. We performed blinded medical record review on 641 randomly selected readmissions to validate the pre-encounter planned/unplanned hospital designation. We identified the most common discharge diagnoses associated with subsequent 30-day unplanned readmissions. RESULTS: Among 166,994 discharges (hospital A: n = 55,383; hospital B: n = 111,611), the 30-day unplanned readmission rate was 10.3% (hospital A) and 8.7% (hospital B). The hospital designation of "unplanned" was correct in 98% (hospital A) and 96% (hospital B) of readmissions; the designation of "planned" was correct in 86% (hospital A) and 85% (hospital B) of readmissions. The most common discharge diagnoses for which unplanned 30-day readmissions occurred were oncologic conditions (up to 38%) and nonhypertensive congestive heart failure (about 25%), across both institutions. CONCLUSIONS: Unplanned readmission rates for pediatrics, using a validated, accurate, pre-encounter designation of "unplanned," are higher than previously estimated. For some pediatric conditions, unplanned readmission rates are as high as readmission rates reported for adult conditions. Anticipating unplanned readmissions for high-frequency diagnostic groups may help focus efforts to reduce the burden of readmission for families and facilities. Using timing of hospital registration in administrative records is an accurate, widely available, real-time way to distinguish unplanned vs planned pediatric readmissions.

Testing a post-discharge nurse-led transitional home visit in acute care pediatrics: the Hospital-To-Home Outcomes (H2O) study protocol.

AIMS: The aims of this study were: (1) to explore the family perspective on pediatric hospital-to-home transitions; (2) to modify an existing nurse-delivered transitional home visit to better meet family needs; (3) to study the effectiveness of the modified visit for reducing healthcare re-use and improving patient- and family-centered outcomes in a randomized controlled trial. BACKGROUND: The transition from impatient hospitalization to outpatient care is a vulnerable time for children and their families; children are at risk for poor outcomes that may be mitigated by interventions to address transition difficulties. It is unknown if an effective adult transition intervention, a nurse home visit, improves postdischarge outcomes for children hospitalized with common conditions. DESIGN: (1) Descriptive qualitative; (2) Quality improvement; (3) Randomized controlled trial. METHODS: Aim 1 will use qualitative methods, through focus groups, to understand the family perspective of hospital-to-home transitions. Aim 2 will use quality improvement methods to modify the content and processes associated with nurse home visits. Modifications to visits will be made based on parent and stakeholder input obtained during Aims 1 & 2. The effectiveness of the modified visit will be evaluated in Aim 3 through a randomized controlled trial. DISCUSSION: We are undertaking the study to modify and evaluate a nurse home visit as an effective acute care pediatric transition intervention. We expect the results will be of interest to administrators, policy makers and clinicians interested in improving pediatric care transitions and associated postdischarge outcomes, in the light of impending bundled payment initiatives in pediatric care.

Pediatric asthma readmission: asthma knowledge is not enough?

OBJECTIVE: To characterize factors associated with readmission for acute asthma exacerbation, particularly around caregiver asthma knowledge, beliefs, and reported adherence to prescribed medication regimens. STUDY DESIGN: We enrolled 601 children (aged 1-16 years) who had been hospitalized for asthma. Caregivers completed a face-to-face survey regarding their asthma knowledge, beliefs, and medication adherence. Caregivers also reported demographic data, child's asthma severity, exposure to triggers, access to primary care, and financial strains. We prospectively identified asthma readmission events via billing data over a 1-year minimum follow-up period. We examined time to readmission with Cox proportional hazards. RESULTS: The study cohort's median age was 5 years, 53% were African American, and 57% were covered by Medicaid. At 1 year, 22% had been readmitted for asthma. In the multivariate analysis, a caregiver's demonstration of increased asthma knowledge was associated with increased readmission risk. In addition, children whose caregivers reported less-than-perfect adherence to daily medication regimens had increased readmission risk. Likewise, having previously been admitted for asthma, decreased medical home access, and black race were associated with increased readmission risk. CONCLUSION: In a multifactorial assessment of risk factors for asthma readmission, greater asthma knowledge and decreased medication adherence were associated with readmission. Inpatient efforts to prevent readmission might best target medication adherence rather than continuing to primarily provide asthma education.

Rates and impact of potentially preventable readmissions at children's hospitals.

OBJECTIVE: To assess readmission rates identified by 3M-Potentially Preventable Readmissions software (3M-PPRs) in a national cohort of children's hospitals. STUDY DESIGN: A total of 1 719 617 hospitalizations for 1 531 828 unique patients in 58 children's hospitals from 2009 to 2011 from the Children's Hospital Association Case-Mix Comparative database were examined. Main outcome measures included rates, diagnoses, and costs of potentially preventable readmissions (PPRs) and all-cause readmissions. RESULTS: The 7-, 15-, and 30-day rates by 3M-PPRs were 2.5%, 4.1%, and 6.2%, respectively. Corresponding all-cause readmission rates were 5.0%, 8.7%, and 13.3%. At 30 days, 60.6% of all-cause readmissions were considered nonpreventable by 3M-PPRs, more than one-half of which were related to malignancies. The percentage of readmissions rated as potentially preventable was similar at all 3 time intervals. Readmissions after chemotherapy, acute leukemia, and cystic fibrosis were all considered nonpreventable, and at least 80% of readmissions after index admissions for sickle cell crisis, bronchiolitis, ventricular shunt procedures, asthma, and appendectomy were designated potentially preventable. Total costs for all readmissions were $1.7 billion; PPRs accounted for 27.3% of these costs. The most costly readmissions were associated with ventricular shunt procedures ($26.5 million/year), seizures ($15.5 million/year), and sickle cell crisis ($15.0 million/year). CONCLUSIONS: Rates of PPRs were significantly lower than all-cause readmission rates more than one-half of which were caused by exclusion of malignancies. Annual costs of PPRs, although significant in the aggregate, appear to represent a much smaller cost-savings opportunity for children than for adults. Our study may help guide children's hospitals to focus readmission reduction strategies on areas where the financial vulnerability is greatest based on 3M-PPRs.

The effect of pre-Affordable Care Act (ACA) Medicaid eligibility expansion in New York State on access to specialty surgical care.

BACKGROUND: Critics argue that expanding health insurance coverage through Medicaid may not result in improved access to care. The Affordable Care Act provides reimbursement incentives aimed at improving access to primary care services for new Medicaid beneficiaries; however, there are no such incentives for specialty services. Using the natural experiment of Medicaid expansion in New York (NY) State in October 2001, we examined whether Medicaid expansion increased access to common musculoskeletal procedures for Medicaid beneficiaries. METHODS: From the State Inpatient Database for NY State, we identified 19- to 64-year-old patients who underwent lower extremity large joint replacement, spine procedures, and upper/lower extremity fracture/dislocation repair from January 1998 to December 2006. We used interrupted time series analysis to evaluate the association between Medicaid expansion and trends in the relative and absolute number of Medicaid beneficiaries who underwent these musculoskeletal procedures. RESULTS: Before Medicaid expansion, we observed a slight but steady temporal decline in the proportion of musculoskeletal surgical patients who were Medicaid beneficiaries. After expansion, this trend reversed, and by 5 years after Medicaid expansion, the proportion of musculoskeletal surgical patients who were Medicaid beneficiaries was 4.7 percentage points [95% confidence interval, 3.9-5.5] higher than expected, based on the preexpansion time trend. CONCLUSION: Medicaid expansion in NY State significantly improved access to common musculoskeletal procedures for Medicaid beneficiaries.

Disparities in pediatric hospital use during transition to adult healthcare for young adults with childhood-onset chronic conditions.

BACKGROUND: Young adults (YA) with childhood-onset chronic conditions-particularly YA with cystic fibrosis (CF), congenital heart disease (CHD), and sickle cell disease (SCD)-continue to have pediatric hospital admissions. Factors associated with this continued pediatric hospital use remain underexplored. OBJECTIVE: To determine if pediatric hospital use by YA differed (1) across condition and (2) within each condition by sociodemographic factors. METHODS: Conducted a cross-sectional analysis of admissions for YA 22-35 years with CF, CHD, and SCD from 2016 to 2020 in the National Inpatient Sample. Admissions for YA with CF, CHD, and SCD were identified by international classification of diseases, 10th revision-clinical modification diagnosis codes. To determine if conditions or sociodemographic factors were associated with YA pediatric hospital use, we used multivariable logistic regression with separate models for the different objectives. RESULTS: YA with SCD had lower odds of pediatric hospital use compared to YA with CF. Relationships between sociodemographic factors and pediatric hospital use varied. Black YA with both CF and CHD had lower odds of pediatric hospital use than white YA with CF and CHD. For YA with SCD, despite 17,810 (6.5%) having rural residence, zero (0) had pediatric hospital use; whereas YA with CF living in a rural area had greater odds of pediatric hospital use compared to urban residents. CONCLUSION: YA with SCD used pediatric hospitals less than YA with either CF or CHD. Coupled with our findings that Black YA with CF and CHD had less pediatric hospital use, these data may reflect systematic racial differences within pediatric to adult healthcare transition programs.

Evaluating Screening to Assess Endorsement of Food Insecurity in the Inpatient Setting.

OBJECTIVE: Rates of food insecurity (FI) from screening in the inpatient setting is often not reflective of community prevalence, indicating that screening likely misses families with FI. We aimed to determine the combination of FI screening questions and methods that would result in identifying a percentage of FI families that matched or exceeded our area prevalence (approximately 20%). METHODS: Research staff approached eligible English- and Spanish-speaking families across 4 inpatient units once weekly and screened for FI using a randomly selected method (face-to-face, phone, paper, and tablet). We asked questions from the 6-Item USDA Survey, Hunger Vital Sign screener, and questions utilized by our social workers. RESULTS: We screened 361 families; 19.4% (N = 70) endorsed FI. Differences in rates were not significant by method. Differences in FI rates based on screening questions were: 17.7% for the 6-item USDA survey, 16.0% for Hunger Vital Sign, and 3.1% for the social work questions. When considering method and screening questions together, the 6-Item USDA on paper had the highest positivity rate of 20.9%. A higher percentage of Spanish-speaking families endorsed FI (61.1%) compared to 17.2% of English-speaking families (P < .01). Positivity also varied significantly by self-identified race (P < .01). Caregivers that identified as Hispanic or Latino were significantly more likely to endorse FI than those that did not (P < .01). CONCLUSIONS: The positivity rate for FI while screening inpatient families using the 6-Item screening questions on paper matched our community prevalence of FI (approximately 20%).

Addressing food insecurity in the inpatient setting: Results of a postdischarge pilot study.

BACKGROUND AND OBJECTIVES: With a growing interest in screening for food insecurity (FI) during pediatric hospitalization, there is a parallel need to develop interventions. With input from caregivers experiencing FI, we sought to identify interventions to assist with short-term FI after discharge and evaluate their feasibility, acceptability, and appropriateness. METHODS: We first employed qualitative methods to identify potential interventions. Next, we conducted a pilot study of selected interventions for families experiencing FI. Seven days postdischarge, caregivers rated the intervention's feasibility, acceptability, and appropriateness. We also assessed for ongoing FI. We summarized the median and proportion of "completely agree" responses to feasibility, acceptability, and appropriateness questions, and we compared in-hospital and postdischarge FI using McNemar's test. RESULTS: In the qualitative stage, 14 caregivers prioritized three interventions: grocery store gift cards, grocery delivery/pick-up, and frozen meals. In the pilot study, 53 caregivers (25% of those screened) endorsed FI during their child's hospitalization and received one or more of the interventions. Every caregiver selected the grocery gift card option; 37 families (69.8%) also received frozen meals. Seven days after discharge, most caregivers rated the intervention as "completely" feasible (76%), acceptable (90%), and appropriate (88%). There was a significant decrease in caregivers who reported FI after discharge compared to during the hospitalization (p < .001). CONCLUSIONS: This study demonstrates the feasibility, acceptability, and appropriateness of inpatient interventions to address FI, particularly at the time of pediatric hospital discharge and transition home. Randomized trials are needed to further evaluate the efficacy of interventions employed during hospitalization.

Prioritization of Randomized Clinical Trial Questions for Children Hospitalized With Common Conditions: A Consensus Statement.

Importance: There is a lack of randomized clinical trial (RCT) data to guide many routine decisions in the care of children hospitalized for common conditions. A first step in addressing the shortage of RCTs for this population is to identify the most pressing RCT questions for children hospitalized with common conditions. Objective: To identify the most important and feasible RCT questions for children hospitalized with common conditions. Design, Setting, and Participants: For this consensus statement, a 3-stage modified Delphi process was used in a virtual conference series spanning January 1 to September 29, 2022. Forty-six individuals from 30 different institutions participated in the process. Stage 1 involved construction of RCT questions for the 10 most common pediatric conditions leading to hospitalization. Participants used condition-specific guidelines and reviews from a structured literature search to inform their development of RCT questions. During stage 2, RCT questions were refined and scored according to importance. Stage 3 incorporated public comment and feasibility with the prioritization of RCT questions. Main Outcomes and Measures: The main outcome was RCT questions framed in a PICO (population, intervention, control, and outcome) format and ranked according to importance and feasibility; score choices ranged from 1 to 9, with higher scores indicating greater importance and feasibility. Results: Forty-six individuals (38 who shared demographic data; 24 women [63%]) from 30 different institutions participated in our modified Delphi process. Participants included children's hospital (n = 14) and community hospital (n = 13) pediatricians, parents of hospitalized children (n = 4), other clinicians (n = 2), biostatisticians (n = 2), and other researchers (n = 11). The process yielded 62 unique RCT questions, most of which are pragmatic, comparing interventions in widespread use for which definitive effectiveness data are lacking. Overall scores for importance and feasibility of the RCT questions ranged from 1 to 9, with a median of 5 (IQR, 4-7). Six of the top 10 selected questions focused on determining optimal antibiotic regimens for 3 common infections (pneumonia, urinary tract infection, and cellulitis). Conclusions and Relevance: This consensus statementhas identified the most important and feasible RCT questions for children hospitalized with common conditions. This list of RCT questions can guide investigators and funders in conducting impactful trials to improve care and outcomes for hospitalized children.

Variation in inpatient tonsillectomy costs within and between US hospitals attributable to postoperative complications.

BACKGROUND: Tonsillectomy is the second most common inpatient procedure in US children. However, the factors that influence tonsillectomy-related costs are unknown. OBJECTIVE: The objective of the study was to describe variation in US inpatient tonsillectomy costs and examine whether postoperative complications contribute to these disparities in costs. RESEARCH DESIGN: This is a retrospective cohort study of the 2009 Nationwide Inpatient Sample. Hierarchical, mixed-effects linear regression modeling was used to analyze the association between postoperative complications and cost, controlling for clinically relevant characteristics such as age, number of chronic comorbidity indicators, and hospital mean complication rates. We also estimated the variance in cost attributable to the treating hospital using the intraclass correlation coefficient. SUBJECTS: The study cohort comprised 12,512 adult and pediatric patients undergoing tonsillectomy or adenotonsillectomy in the inpatient setting. MEASURES: Cost, posttonsillectomy hemorrhage, and mechanical ventilator use at the individual encounter and at hospital level were evaluated. RESULTS: The aggregate cost of tonsillectomies in the cohort was $94.2 million. The median cost per encounter across all hospitals was $4393 (interquartile range, $3279-$6981), whereas the mean cost was $7525 (95% confidence interval, $6453-$8597). Mechanical ventilation was associated with an adjusted increase of $30,081 per encounter (95% confidence interval, $18,199-$41,964). The intraclass correlation coefficient declined from 0.117 to 0.070 after adjusting for mean hospital mechanical ventilation rate, which accounted for 40.2% of the interhospital variation in cost. CONCLUSIONS: Use of mechanical ventilation significantly increases the cost of inpatient tonsillectomy care. Further research should examine risk factors contributing to higher rates of mechanical ventilation after tonsillectomy, which in turn can guide systemic quality improvement interventions to reduce costs.

Impact of the COVID-19 pandemic on hospitalizations of children with neurologic impairment.

INTRODUCTION: Children with neurologic impairment (NI) are frequently hospitalized for infectious and noninfectious illnesses. The early period of the COVID-19 pandemic was associated with overall lower pediatric hospitalization rates, particularly for respiratory infections, but the effect on utilization for children with NI is unknown. METHOD: This multicenter retrospective cohort study included hospitalizations of children 1-18 years of age with NI diagnosis codes from 49 children's hospitals. We calculated the percent change in the median weekly hospitalization volumes and the hospitalization resource intensity score (H-RISK), comparing the early-COVID era (March 15, 2020 to December 31, 2020) with the pre-COVID era (same timeframe of 2017-2019). Percent change was calculated over the entire study period as well as within three seasonal time periods (spring, summer, and fall/winter). Differences between infectious and noninfectious admission diagnoses were also examined. RESULTS: Compared with the pre-COVID era, there was a 14.4% decrease (interquartile range [IQR]: -33.8, -11.7) in the weekly median number of hospitalizations in the early-COVID era; the weekly median H-RISK score was 11.7% greater (IQR: 8.9, 14.9). Hospitalizations decreased for both noninfectious (-11.6%, IQR: -30.0, -8.0) and infectious (-35.5%, IQR: -51.1, -31.3) illnesses in the early-COVID era. This decrease was the largest in spring 2020 and continued throughout 2020. CONCLUSIONS: For children with NI, there was a substantial and significant decrease in hospitalizations for infectious and noninfectious diagnoses but an increase in illness severity during the early-COVID era compared with the pre-COVID era. Our data suggest a need to reconsider current thresholds for hospitalization and identify opportunities to support and guide families through certain illnesses without hospitalization.

Annual Variation in 30-Day Risk-Adjusted Readmission Rates in U.S. Children's Hospitals.

OBJECTIVE: Reducing pediatric readmissions has become a national priority; however, the use of readmission rates as a quality metric remains controversial. The goal of this study was to examine short-term stability and long-term changes in hospital readmission rates. METHODS: Data from the Pediatric Health Information System were used to compare annual 30-day risk-adjusted readmission rates (RARRs) in 47 US children's hospitals from 2016 to 2017 (short-term) and 2016 to 2019 (long-term). Pearson correlation coefficients and weighted Cohen's Kappa statistics were used to measure correlation and agreement across years for hospital-level RARRs and performance quartiles. RESULTS: Median (IQR) 30-day RARRs remained stable from 7.7% (7.0-8.3) in 2016 to 7.6% (7.0-8.1) in 2019. Individual hospital RARRs in 2016 were strongly correlated with the same hospital's 2017 rate (R2 = 0.89 [95% confidence interval (CI) 0.80-0.94]) and moderately correlated with those in 2019 (R2 = 0.49 [95%CI 0.23-0.68]). Short-term RARRs (2016 vs 2017) were more highly correlated for medical conditions than surgical conditions, but correlations between long-term medical and surgical RARRs (2016 vs 2019) were similar. Agreement between RARRs was higher when comparing short-term changes (0.73 [95%CI 0.59-0.86]) than long-term changes (0.45 [95%CI 0.27-0.63]). From 2016 to 2019, RARRs increased by ≥1% in 7 (15%) hospitals and decreased by ≥1% in 6 (13%) hospitals. Only 7 (15%) hospitals experienced reductions in RARRs over the short and long-term. CONCLUSIONS: Hospital-level performance on RARRs remained stable with high agreement over the short-term suggesting stability of readmission measures. There was little evidence of sustained improvement in hospital-level performance over multiple years.

Reducing Caregiver Hunger During Pediatric Hospitalization.

BACKGROUND AND OBJECTIVES: Pediatric hospitalizations are costly, stressful events for families. Many caregivers, especially those with lower incomes, struggle to afford food while their child is hospitalized. We sought to decrease the mean percentage of caregivers of Medicaid-insured and uninsured children who reported being hungry during their child's hospitalization from 86% to <24%. METHODS: Our quality improvement efforts took place on a 41-bed inpatient unit at our large, urban academic hospital. Our multidisciplinary team included physicians, nurses, social workers, and food services leadership. Our primary outcome measure was caregiver-reported hunger; we asked caregivers near to the time of discharge if they experienced hunger during their child's hospitalization. Plan-do-study-act cycles addressed key drivers: awareness of how to obtain food, safe environment for families to seek help, and access to affordable food. An annotated statistical process control chart tracked our outcome over time. Data collection was interrupted because of the COVID-19 pandemic; we used that time to advocate for hospital-funded support for optimal and sustainable changes to caregiver meal access. RESULTS: We decreased caregiver hunger from 86% to 15.5%. A temporary test of change, 2 meal vouchers per caregiver per day, resulted in a special cause decrease in the percentage of caregivers reporting hunger. Permanent hospital funding was secured to provide cards to purchase 2 meals per caregiver per hospital day, resulting in a sustained decrease in rates of caregiver hunger. CONCLUSIONS: We decreased caregivers' hunger during their child's hospitalization. Through a data-driven quality improvement effort, we implemented a sustainable change allowing families to access enough food.

Identifying and Validating Pediatric Hospitalizations for MIS-C Through Administrative Data.

BACKGROUND: Individual children's hospitals care for a small number of patients with multisystem inflammatory syndrome in children (MIS-C). Administrative databases offer an opportunity to conduct generalizable research; however, identifying patients with MIS-C is challenging. METHODS: We developed and validated algorithms to identify MIS-C hospitalizations in administrative databases. We developed 10 approaches using diagnostic codes and medication billing data and applied them to the Pediatric Health Information System from January 2020 to August 2021. We reviewed medical records at 7 geographically diverse hospitals to compare potential cases of MIS-C identified by algorithms to each participating hospital's list of patients with MIS-C (used for public health reporting). RESULTS: The sites had 245 hospitalizations for MIS-C in 2020 and 358 additional MIS-C hospitalizations through August 2021. One algorithm for the identification of cases in 2020 had a sensitivity of 82%, a low false positive rate of 22%, and a positive predictive value (PPV) of 78%. For hospitalizations in 2021, the sensitivity of the MIS-C diagnosis code was 98% with 84% PPV. CONCLUSION: We developed high-sensitivity algorithms to use for epidemiologic research and high-PPV algorithms for comparative effectiveness research. Accurate algorithms to identify MIS-C hospitalizations can facilitate important research for understanding this novel entity as it evolves during new waves.