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.

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%).

Epidemiology and Severity of Illness of MIS-C and Kawasaki Disease During the COVID-19 Pandemic.

BACKGROUND AND OBJECTIVES: Multisystem inflammatory syndrome in children (MIS-C) is a novel, severe condition following severe acute respiratory syndrome coronavirus 2 infection. Large epidemiologic studies comparing MIS-C to Kawasaki disease (KD) and evaluating the evolving epidemiology of MIS-C over time are lacking. We sought to understand the illness severity of MIS-C compared with KD and evaluate changes in MIS-C illness severity over time during the coronavirus disease 2019 pandemic compared with KD. METHODS: We included hospitalizations of children with MIS-C and KD from April 2020 to May 2022 from the Pediatric Health Information System administrative database. Our primary outcome measure was the presence of shock, defined as the use of vasoactive/inotropic cardiac support or extracorporeal membrane oxygenation. We examined the volume of MIS-C and KD hospitalizations and the proportion of hospitalizations with shock over time using 2-week intervals. We compared the proportion of hospitalizations with shock in MIS-C and KD patients over time using generalized estimating equations adjusting for hospital clustering and age, with time as a fixed effect. RESULTS: We identified 4868 hospitalizations for MIS-C and 2387 hospitalizations for KD. There was a higher proportion of hospitalizations with shock in MIS-C compared with KD (38.7% vs 5.1%). In our models with time as a fixed effect, we observed a significant decrease in the odds of shock over time in MIS-C patients (odds ratio 0.98, P < .001) but not in KD patients (odds ratio 1.00, P = .062). CONCLUSIONS: We provide further evidence that MIS-C is a distinct condition from KD. MIS-C was a source of lower morbidity as the pandemic progressed.

Garnering effective telehealth to help optimize multidisciplinary team engagement (GET2HOME) for children with medical complexity: Protocol for a pragmatic randomized control trial.

BACKGROUND: Children and young adults with medical complexity (CMC) experience high rates of healthcare reutilization following hospital discharge. Prior studies have identified common hospital-to-home transition failures that may increase the risk for reutilization, including medication, technology and equipment issues, financial concerns, and confusion about which providers can help with posthospitalization needs. Few interventions have been developed and evaluated for CMC during this transition period. OBJECTIVE: We will compare the effectiveness of the garnering effective telehealth 2 help optimize multidisciplinary team engagement (GET2HOME) transition bundle intervention to the standard hospital-based care coordination discharge process by assessing healthcare reutilization and patient- and family-centered outcomes. DESIGNS, SETTINGS, AND PARTICIPANTS: We will conduct a pragmatic 2-arm randomized controlled trial (RCT) comparing the GET2HOME bundle intervention to the standard hospital-based care discharge process on CMC hospitalized and discharged from hospital medicine at two sites of our pediatric medical center between November 2022 and February 2025. CMC of any age will be identified as having complex chronic disease using the Pediatric Medical Complexity Algorithm tool. We will exclude CMC who live independently, live in skilled nursing facilities, are in custody of the county, or are hospitalized for suicidal ideation or end-of-life care. INTERVENTION: We will randomize participants to the bundle intervention or standard hospital-based care coordination discharge process. The bundle intervention includes (1) predischarge telehealth huddle with inpatient providers, outpatient providers, patients, and their families; (2) care management discharge task tracker; and (3) postdischarge telehealth huddle with similar participants within 7 days of discharge. As part of the pragmatic design, families will choose if they want to complete the postdischarge huddle. The standard hospital-based discharge process includes a pharmacist, social worker, and care management support when consulted by the inpatient team but does not include huddles between providers and families. MAIN OUTCOME AND MEASURES: Primary outcome will be 30-day urgent healthcare reutilization (unplanned readmission, emergency department, and urgent care visits). Secondary outcomes include 7-day urgent healthcare reutilization, patient- and family-reported transition quality, quality of life, and time to return to baseline using electronic health record and surveys at 7, 30, 60, and 90 days following discharge. We will also evaluate heterogeneity of treatment effect for the intervention across levels of financial strain and for CMC with high-intensity neurologic impairment. The primary analysis will follow the intention-to-treat principle with logistic regression used to study reutilization outcomes and generalized linear mixed modeling to study repeated measures of patient- and family-reported outcomes over time. RESULTS: This pragmatic RCT is designed to evaluate the effectiveness of enhanced discharge transition support, including telehealth huddles and a care management discharge tool, for CMC and their families. Enrollment began in November 2022 and is projected to complete in February 2025. Primary analysis completion is anticipated in July 2025 with reporting of results following.

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.

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.

Development and Validation of an Integrated Suite of Prediction Models for All-Cause 30-Day Readmissions of Children and Adolescents Aged 0 to 18 Years.

Importance: Readmission is often considered a hospital quality measure, yet no validated risk prediction models exist for children. Objective: To develop and validate a tool identifying patients before hospital discharge who are at risk for subsequent readmission, applicable to all ages. Design, Setting, and Participants: This population-based prognostic analysis used electronic health record-derived data from a freestanding children's hospital from January 1, 2016, to December 31, 2019. All-cause 30-day readmission was modeled using 3 years of discharge data. Data were analyzed from June 1 to November 30, 2021. Main Outcomes and Measures: Three models were derived as a complementary suite to include (1) children 6 months or older with 1 or more prior hospitalizations within the last 6 months (recent admission model [RAM]), (2) children 6 months or older with no prior hospitalizations in the last 6 months (new admission model [NAM]), and (3) children younger than 6 months (young infant model [YIM]). Generalized mixed linear models were used for all analyses. Models were validated using an additional year of discharges. Results: The derivation set contained 29 988 patients with 48 019 hospitalizations; 50.1% of these admissions were for children younger than 5 years and 54.7% were boys. In the derivation set, 4878 of 13 490 admissions (36.2%) in the RAM cohort, 2044 of 27 531 (7.4%) in the NAM cohort, and 855 of 6998 (12.2%) in the YIM cohort were followed within 30 days by a readmission. In the RAM cohort, prior utilization, current or prior procedures indicative of severity of illness (transfusion, ventilation, or central venous catheter), commercial insurance, and prolonged length of stay (LOS) were associated with readmission. In the NAM cohort, procedures, prolonged LOS, and emergency department visit in the past 6 months were associated with readmission. In the YIM cohort, LOS, prior visits, and critical procedures were associated with readmission. The area under the receiver operating characteristics curve was 83.1 (95% CI, 82.4-83.8) for the RAM cohort, 76.1 (95% CI, 75.0-77.2) for the NAM cohort, and 80.3 (95% CI, 78.8-81.9) for the YIM cohort. Conclusions and Relevance: In this prognostic study, the suite of 3 prediction models had acceptable to excellent discrimination for children. These models may allow future improvements in tailored discharge preparedness to prevent high-risk readmissions.

Dexamethasone Versus Prednisone in Children Hospitalized With Asthma Exacerbation.

OBJECTIVES: Dexamethasone is increasingly used for the management of children hospitalized with asthma in place of prednisone, yet data regarding the effectiveness of dexamethasone in children with asthma exacerbation severe enough to require hospitalization are limited. Our objective is to compare the effectiveness of dexamethasone versus prednisone in children hospitalized with an asthma exacerbation on 30-day reutilization. METHODS: We conducted a retrospective cohort study at an urban, quaternary children's hospital of children aged 4 to 17 years, hospitalized from January 1, 2014 to December 31, 2017, with a primary discharge diagnosis of asthma. A covariate-balanced propensity score was derived to account for physician discretion in steroid selection. A generalized linear model, including inverse probability treatment weighting, was used to detect differences in 30-day return utilization (unplanned readmission or emergency department visit) between children whose first dose of corticosteroid was dexamethasone versus prednisone. RESULTS: Inclusion criteria were met by 1161 patients, of which 510 (44%) first received dexamethasone versus 651 (56%) who first received prednisone. The total cohort had a mean age of 8.5 years (SD 3.4). The covariate-balanced cohort had no significant differences in demographic characteristics or illness severity between groups. The dexamethasone group had a return utilization of 3.9% (20 of 510) versus 2.2% (14 of 651) for children treated with prednisone. The propensity score-adjusted analysis revealed the steroid treatment was not found to significantly affect the 30-day reutilization (adjusted odds ratio [aOR] 1.61; 95%CI 0.80-3.31). CONCLUSIONS: The initial steroid choice (dexamethasone versus prednisone) was not associated with 30-day reutilization after hospitalization for an asthma exacerbation.

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.

Variation in Condition-Specific Readmission Rates Across US Children's Hospitals.

OBJECTIVE: Despite extensive efforts, overall readmission rates at US children's hospitals have not materially declined over the past decade, raising questions about how to direct future efforts. Using measures of prevalence and performance variation we describe readmission rates by condition and identify priority conditions for future intervention. METHODS: Retrospective cohort study of 49 US children's hospitals in the Pediatric Health Information System in 2017. Conditions were classified using All Patients Refined Diagnosis Related Groups. 30-day unadjusted and risk-adjusted readmission rates were calculated for each hospital/condition using the Pediatric All Cause Readmission measure. We ranked the highest volume conditions by rate variation (RV, interquartile range divided by the median) for each condition across hospitals. RESULTS: The sample included 811,434 index hospitalizations with 50,196 (6.2%) 30-day readmissions. The RV across hospitals/conditions was between 0 and 2.8 (median = 0.7). Common reasons for admission had low RVs across hospitals, for example, bronchiolitis (readmission rate = 5.6%, RV = 0.4), seizure (readmission rate = 6.6%, RV = 0.3), and asthma (readmission rate = 3.1%, RV = 0.4). We identified 33 conditions with high variation in readmission rates across hospitals, which accounted for 18% of all discharges and 11% of all pediatric readmissions. These conditions may serve as candidates for future readmission reduction activities. CONCLUSIONS: Many common childhood conditions have little variation in readmission rates across children's hospitals, suggesting limited future improvement opportunities. Conditions with high rate variation may provide opportunities for quality improvement; however, these conditions account for a relatively small share of total discharges suggesting modest potential impacts on national rates.

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

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

Differential Impact of Home Nurse Contact After Discharge by Financial Strain, Primary Care Access, and Medical Complexity.

BACKGROUND: The Hospital to Home Outcomes (H2O) trials examined the effectiveness of postdischarge nurse support on reuse after pediatric discharge. Unexpectedly, children randomly assigned to a nurse visit had higher rates of reuse than those in the control group. Participants in randomized control trials are heterogeneous. Thus, it is possible that the effect of the intervention differed across subgroups (ie, heterogeneity of treatment effect [HTE]). We sought to determine if different subgroups responded differently to the interventions. METHODS: The H2O trial is a randomized controlled trial comparing standard hospital discharge processes with a nurse home visit within 96 hours of discharge. The second trial, H2O II, was similar, except the tested intervention was a postdischarge nurse phone call. For the purposes of the HTE analyses, we examined our primary trial outcome measure: a composite of unplanned 30-day acute health care reuse (unplanned readmission or emergency department or urgent care visit). We identified subgroups of interest before the trials related to (1) financial strain, (2) primary care access, (3) insurance, and (4) medical complexity. We used logistic regression modeling with an interaction term between subgroup and treatment group (intervention or control). RESULTS: For the phone call trial (H2O II), financial strain significantly modified the effect of the intervention such that the subgroup of children with high financial strain who received the intervention experienced more reuse than their control counterparts. CONCLUSIONS: In HTE analyses of 2 randomized controlled trials, only financial strain significantly modified the nurse phone call. A family's financial resources may affect the utility of postdischarge support.

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.

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.

Performance of Pediatric Readmission Measures.

BACKGROUND: Readmission rates are frequently used as a hospital quality metric; yet multiple measures exist to evaluate pediatric readmission rates. We sought to assess how four different measures of pediatric readmission compare with assessment of both preventable and unplanned readmission. METHODS: Clinicians on hospital medicine, cardiology, neonatology, and neurology teams reviewed medical records for 30-day readmissions using an abstraction tool with high interrater reliability for preventability assessment. Readmissions between July 2014 and June 2016 were classified separately as preventable or not preventable and planned or unplanned. We compared the classifications to four existing readmission metrics: all-cause readmission, unplanned readmission/time flag classification, the pediatric all-condition readmission, and potentially preventable readmission. We calculated sensitivity and specificity for all readmission metrics. RESULTS: Among 30-day readmissions considered, 1,643 were eligible for medical record review; 1,125 reviews were completed by the clinical teams (68%). On medical record review, the majority of readmissions were determined not preventable (85%). Only 15% were classified as unplanned and preventable. None of the four readmission measures had appropriate sensitivity or specificity for identifying preventable readmission. The unplanned readmission/time flag classification had the highest sensitivity (95%) and specificity (90%) in identifying unplanned readmissions. CONCLUSION: None of the existing pediatric readmission measures can reliably determine preventability. The unplanned readmission/time flag measure performed best in identifying unplanned readmissions.