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%).

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Effect of Parental Adverse Childhood Experiences and Resilience on a Child's Healthcare Reutilization

BACKGROUND

Adverse childhood experiences (ACEs) are associated with poor health outcomes in adults. Resilience may mitigate this effect. There is limited evidence regarding how parents' ACEs and resilience may be associated with their children's health outcomes.

OBJECTIVE

To determine the association of parental ACEs and resilience with their child's risk of unanticipated healthcare reutilization.

DESIGN, SETTING, AND PARTICIPANTS

We conducted a prospective cohort study (August 2015 to October 2016) at a tertiary, freestanding pediatric medical center in Cincinnati, Ohio. Eligible participants were English-speaking parents of children hospitalized on a Hospital Medicine or Complex Services team. A total of 1,320 parents of hospitalized children completed both the ACE questionnaire and the Brief Resilience Scale Survey.

EXPOSURE

Number of ACEs and Brief Resilience Scale Score among parents.

MAIN OUTCOMES

Unanticipated reutilization by children, defined as returning to the emergency room, urgent care, or being readmitted to the hospital within 30 days of hospital discharge.

RESULTS

In adjusted analyses, children of parents with 4 or more ACEs had 1.69-times higher odds (95% CI, 1.11-2.60) of unanticipated reutilization after an index hospitalization, compared with children of parents with no ACEs. Resilience was not significantly associated with reutilization.

CONCLUSION

Parental history of ACEs is strongly associated with higher odds of their child having unanticipated healthcare reutilization after a hospital discharge, highlighting an intergenerational effect. Screening may be an important tool for outcome prediction and intervention guidance following pediatric hospitalization.

Hospital Observation Status and Readmission Rates

BACKGROUND

In several states, payers penalize hospitals when an inpatient readmission follows an inpatient stay. Observation stays are typically excluded from readmission calculations. Previous studies suggest inconsistent use of observation designations across hospitals. We sought to describe variation in observation stays and examine the impact of inclusion of observation stays on readmission metrics.

METHODS

We conducted a retrospective cohort study of hospitalizations at 50 hospitals contributing to the Pediatric Health Information System database from January 1, 2018, to December 31, 2018. We examined prevalence of observation use across hospitals and described changes to inpatient readmission rates with higher observation use. We described 30-day inpatient-only readmission rates and ranked hospitals against peer institutions. Finally, we included observation encounters into the calculation of readmission rates and evaluated hospitals' change in readmission ranking.

RESULTS

Most hospitals (n = 44; 88%) used observation status, with high variation in use across hospitals (0%-53%). Readmission rate after index inpatient stay (6.8%) was higher than readmission after an index observation stay (4.4%), and higher observation use by hospital was associated with higher inpatient-only readmission rates. When compared with peers, hospital readmission rank changed with observation inclusion (60% moving at least 1 quintile).

CONCLUSIONS

The use of observation status is variable among children's hospitals. Hospitals that more liberally apply observation status perform worse on the current inpatient-to-inpatient readmission metric, and inclusion of observation stays in the calculation of readmission rates significantly affected hospital performance compared with peer institutions. Consideration should be given to include all admission types for readmission rate calculation.

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.

A Qualitative Study of Increased Pediatric Reutilization After a Postdischarge Home Nurse Visit

BACKGROUND

The Hospital to Home Outcomes (H2O) trial was a 2-arm, randomized controlled trial that assessed the effects of a nurse home visit after a pediatric hospital discharge. Children randomized to the intervention had higher 30-day postdischarge reutilization rates compared with those with standard discharge. We sought to understand perspectives on why postdischarge home nurse visits resulted in higher reutilization rates and to elicit suggestions on how to improve future interventions.

METHODS

We sought qualitative input using focus groups and interviews from stakeholder groups: parents, primary care physicians (PCP), hospital medicine physicians, and home care registered nurses (RNs). A multidisciplinary team coded and analyzed transcripts using an inductive, iterative approach.

RESULTS

Thirty-three parents participated in interviews. Three focus groups were completed with PCPs (n = 7), 2 with hospital medicine physicians (n = 12), and 2 with RNs (n = 10). Major themes in the explanation of increased reutilization included: appropriateness of patient reutilization; impact of red flags/warning sign instructions on family's reutilization decisions; hospital-affiliated RNs "directing traffic" back to hospital; and home visit RNs had a low threshold for escalating care. Major themes for improving design of the intervention included: need for improved postdischarge communication; individualizing home visits-one size does not fit all; and providing context and framing of red flags.

CONCLUSION

Stakeholders questioned whether hospital reutilization was appropriate and whether the intervention unintentionally directed patients back to the hospital. Future interventions could individualize the visit to specific needs or diagnoses, enhance postdischarge communication, and better connect patients and home nurses to primary care.

Measures of ED utilization in a national cohort of children

OBJECTIVES

Emergency department (ED) utilization is often used as an indicator of poor chronic disease control and/or poor quality of care. We sought to determine if 2 ED utilization measures identify clinically or demographically different populations of children.

STUDY DESIGN

Retrospective cohort study utilizing IBM Health/Truven MarketScan Medicaid data.

METHODS

Children and adolescents were categorized based on the presence and complexity of chronic medical conditions using the 3M Clinical Risk Group system. Children and adolescents were categorized as high ED utilizers using 2 measures: (1) ED reliance (EDR) (number of ED visits / [number of ED visits + number of ambulatory visits]; EDR >0.33 = high utilizer) and (2) visit counts (≥3 ED visits = high utilizer). Logistic regression models identified patient factors associated with each of our outcome measures.

RESULTS

A total of 5,438,541 children and adolescents were included; 65% were without chronic disease (WO-CD), 32% had noncomplex chronic disease (NC-CD), and 3% had complex chronic disease (C-CD). EDR identified 18% as frequent utilizers compared with 7% by the visit count measure. In the visit count model, children younger than 2 years and those classified as WO-CD and NC-CD were less likely to be identified as high utilizers. Conversely, in the EDR model, children and adolescents 2 years and older and those classified as WO-CD and NC-CD were more likely to be classified as high utilizers.

CONCLUSIONS

The ED utilization measures identify clinically and demographically different groups of patients. Future studies should consider the medical complexity of the population being studied before choosing the most appropriate measure to employ.

Care of Pediatric High-Cost Hospitalizations Across Hospital Types

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Progress (?) Toward Reducing Pediatric Readmissions

Many children's hospitals are actively working to reduce readmissions to improve care and avoid financial penalties. We sought to determine if pediatric readmission rates have changed over time. We used data from 66 hospitals in the Inpatient Essentials Database including index hospitalizations from January, 2010 through June, 2016. Seven-day all cause (AC) and potentially preventable readmission (PPR) rates were calculated using 3M PPR software. Total and condition-specific quarterly AC and PPR rates were generated for each hospital and in aggregate. We included 4.52 million hospitalizations across all study years. Readmission rates did not vary over the study period. The median seven-day PPR rate across all quarters was 2.5% (range 2.1%-2.5%); the median seven-day AC rate across all quarters was 5.1% (range 4.3%-5.3%). Readmission rates for individual conditions fluctuated. Despite significant national efforts to reduce pediatric readmissions, both AC and PPR readmission rates have remained unchanged over six years.

Discharge Medical Complexity, Change in Medical Complexity and Pediatric 30-day Readmission

BACKGROUND

While medical complexity is associated with pediatric readmission risk, less is known about how increases in medical complexity during hospitalization affect readmission risk.

METHODS

We conducted a five-year retrospective, case-control study of pediatric hospitalizations at a tertiary care children's hospital. Cases with a 30-day unplanned readmission were matched to controls based on admission seasonality and distance from the hospital. Complexity variables included the number of medications prescribed at discharge, medical technology, and the need for home healthcare services. Change in medical complexity variables included new complex chronic conditions and new medical technology. We estimated odds of 30-day unplanned readmission using adjusted conditional logistic regression.

RESULTS

Of 41,422 eligible index hospitalizations, we included 595 case and 595 control hospitalizations. Complexity: Polypharmacy after discharge was common. In adjusted analyses, being discharged with ≥2 medications was associated with higher odds of readmission compared with being discharged without medication; children with ≥5 discharge medications had a greater than four-fold higher odds of readmission. Children assisted by technology had higher odds of readmission compared with children without technology assistance. Change in complexity: New diagnosis of a complex chronic condition (Adjusted Odds Ratio (AOR) = 1.75; 1.11-2.75) and new technology (AOR = 1.84; 1.09-3.10) were associated with higher risk of readmission when adjusting for patient characteristics. However, these associations were not statistically significant when adjusting for length of stay.

CONCLUSION

Polypharmacy and use of technology at discharge pose a substantial readmission risk for children. However, added technology and new complex chronic conditions do not increase risk when accounting for length of stay.

Comparison of Parent Report with Administrative Data to Identify Pediatric Reutilization Following Hospital Discharge

Healthcare providers rely on historical data reported by parents to make medical decisions. The Hospital to Home Outcomes (H2O) trial assessed the effects of a onetime home nurse visit following pediatric hospitalization for common conditions. The H2O primary outcome, reutilization (hospital readmission, emergency department visit, or urgent care visit), relied on administrative data to identify reutilization events after discharge. We sought to compare parent recall of reutilization events two weeks after discharge with administrative records. Agreement was relatively high for any reutilization (kappa 0.74); however, this high agreement was driven by agreement between sources when no reutilization occurred (sources agreed 98%-99%). Agreement between sources was lower when reutilization occurred (48%-76%). Some discrepancies were related to parents misclassifying the site of care. The possibility of inaccurate parent report of reutilization has clinical implications that may be mitigated by confirmation of parent-reported data through verification with additional sources, such as electronic health record review.

Association of Weekend Admission and Weekend Discharge with Length of Stay and 30-Day Readmission in Children's Hospitals

BACKGROUND

Worse outcomes among adults presenting for/receiving care on weekends (ie, "the weekend effect") have been observed for many diseases. However, little is known about the overall impact of the weekend effect in hospitalized children.

OBJECTIVE

o determine the association between weekend admission and length of stay (LOS) and between weekend discharge and 30-day all-cause readmission.

METHODS

We conducted a retrospective, cross-sectional study of children hospitalized between October 1, 2014 and September 30, 2015 using the Pediatric Health Information System. Birth hospitalizations and planned procedures were excluded. We used generalized linear mixed modeling to assess the independent association between weekend admission and LOS and weekend discharge and readmission risk.

RESULTS

Among 390,745 hospitalizations across 43 hospitals, the median LOS was 41 hours (interquartile range [IQR] 24-71) and the 30-day readmission rate was 8.2% (IQR 7.2-9.4). We observed no association between weekend admission and LOS (adjusted LOS [95% CI: weekend 63.70 [61.01-66.52] hours vs weekday 63.40 [60.73-66.19] hours, P = .112). Weekend discharge was associated with slightly increased odds of readmission compared with weekday discharge (adjusted probability of readmission [95% CI]: weekend 0.13 [0.12-0.13] versus weekday 0.11 [0.11-0.12], P < .001) but was variable among individual hospitals. Patient characteristics (ie, number of chronic conditions) were more strongly associated with LOS and readmission risk than weekend admission or discharge.

CONCLUSIONS

Patient-level factors (ie, clinical and demographic characteristics) are more indicative of longer LOS and readmission risk than weekend admissions or discharges. The overall impact of the weekend effect across children's hospitals was minimal.

Medicaid Expenditures Among Children With Noncomplex Chronic Diseases

BACKGROUND AND OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Effects of a 1-Time Nurse-Led Telephone Call After Pediatric Discharge: The H2O II Randomized Clinical Trial

Importance

Families often struggle after discharge of a child from the hospital. Postdischarge challenges can lead to increased use of urgent health care services.

Objective

To determine whether a single nurse-led telephone call after pediatric discharge decreased the 30-day reutilization rate for urgent care services and enhanced overall transition success.

Design, Setting, and Participants

This Hospital-to-Home Outcomes (H2O) randomized clinical trial included 966 children and adolescents younger than 18 years (hereinafter referred to as children) admitted to general medicine services at a free-standing tertiary care children's hospital from May 11 through October 31, 2016. Data were analyzed as intention to treat and per protocol.

Interventions

A postdischarge telephone call within 4 days of discharge compared with standard discharge.

Main Outcomes and Measures

The primary outcome was the 30-day reutilization rate for urgent health care services (ie, unplanned readmission, emergency department visit, or urgent care visit). Secondary outcomes included additional utilization measures, as well as parent coping, return to normalcy, and understanding of clinical warning signs measured at 14 days.

Results

A total of 966 children were enrolled and randomized (52.3% boys; median age [interquartile range], 2.4 years [0.5-7.8 years]). Of 483 children randomized to the intervention, the nurse telephone call was completed for 442 (91.5%). Children in the intervention and control arms had similar reutilization rates for 30-day urgent health care services (intervention group, 77 [15.9%]; control group, 63 [13.1%]; P = .21). Parents of children in the intervention group recalled more clinical warning signs at 14 days (mean, 1.8 [95% CI, 1.7-2.0] in the intervention group; 1.5 [95% CI, 1.4-1.6] in the control group; ratio of intervention to control, 1.2 [95% CI, 1.1-1.3]).

Conclusions and Relevance

Although postdischarge nurse contact did not decrease the reutilization rate of postdischarge urgent health care services, this method shows promise to bolster postdischarge education.

Trial Registration

ClinicalTrials.gov Identifier: NCT02081846.

Lost Earnings and Nonmedical Expenses of Pediatric Hospitalizations

BACKGROUND AND OBJECTIVES

Hospitalization-related nonmedical costs, including lost earnings and expenses such as transportation, meals, and child care, can lead to challenges in prioritizing postdischarge decisions. In this study, we quantify such costs and evaluate their relationship with sociodemographic factors, including family-reported financial and social hardships.

METHODS

This was a cross-sectional analysis of data collected during the Hospital-to-Home Outcomes Study, a randomized trial designed to determine the effects of a nurse home visit after standard pediatric discharge. Parents completed an in-person survey during the child's hospitalization. The survey included sociodemographic characteristics of the parent and child, measures of financial and social hardship, household income and also evaluated the family's total nonmedical cost burden, which was defined as all lost earnings plus expenses. A daily cost burden (DCB) standardized it for a 24-hour period. The daily cost burden as a percentage of daily household income (DCBi) was also calculated.

RESULTS

Median total cost burden for the 1372 households was $113, the median DCB was $51, and the median DCBi was 45%. DCB and DCBi varied across many sociodemographic characteristics. In particular, single-parent households (those with less work flexibility and more financial hardships experienced significantly higher DCB and DCBi. Those who reported ≥3 financial hardships lost or spent 6-times more of their daily income on nonmedical costs than those without hardships. Those with ≥1 social hardships lost or spent double their daily income compared with those without social hardships.

CONCLUSIONS

Nonmedical costs place burdens on families of children who are hospitalized, disproportionately affecting those with competing socioeconomic challenges.

Postdischarge Nurse Home Visits and Reuse: The Hospital to Home Outcomes (H2O) Trial

BACKGROUND

Hospital discharge is stressful for children and families. Poor transitional care is linked to unplanned health care reuse. We evaluated the effects of a pediatric transition intervention, specifically a single nurse home visit, on postdischarge outcomes in a randomized controlled trial.

METHODS

We randomly assigned 1500 children hospitalized on hospital medicine, neurology services, or neurosurgery services to receive either a single postdischarge nurse-led home visit or no visit. We excluded children discharged with skilled home nursing services. Primary outcomes included 30-day unplanned, urgent health care reuse (composite measure of unplanned readmission, emergency department, or urgent care visit). Secondary outcomes, measured at 14 days, included postdischarge parental coping, number of days until parent-reported return to normal routine, and number of "red flags" or clinical warning signs a parent or caregiver could recall.

RESULTS

The 30-day reuse rate was 17.8% in the intervention group and 14.0% in the control group. In the intention-to-treat analysis, children randomly assigned to the intervention group had higher odds of 30-day health care use (odds ratio: 1.33; 95% confidence interval: 1.003-1.76). In the per protocol analysis, there were no differences in 30-day health care use (odds ratio: 1.14; confidence interval: 0.84-1.55). Postdischarge coping scores and number of days until returning to a normal routine were similar between groups. Parents in the intervention group recalled more red flags at 14 days (mean: 1.9 vs 1.6; P < .01).

CONCLUSIONS

Children randomly assigned to the intervention had higher rates of 30-day postdischarge unplanned health care reuse. Parents in the intervention group recalled more clinical warning signs 2 weeks after discharge.

Parental Adverse Childhood Experiences and Resilience on Coping After Discharge

BACKGROUND AND OBJECTIVES

Adults with a history of adverse childhood experiences (ACEs) (eg, abuse) have suboptimal health outcomes. Resilience may blunt this effect. The effect of parental ACEs (and resilience) on coping with challenges involving their children (eg, hospitalization) is unclear. We sought to quantify ACE and resilience scores for parents of hospitalized children and evaluate their associations to parental coping after discharge.

METHODS

We conducted a prospective cohort study at a children's hospital (August 2015-May 2016). Eligible participants were English-speaking parents of children hospitalized on the Hospital Medicine or Complex Services team. The ACE questionnaire measured the responding parent's past adversity (ACE range: 0-10; ≥4 ACEs = high adversity). The Brief Resilience Scale (BRS) was used to measure their resilience (range: 1-5; higher is better). The primary outcome was measured by using the Post-Discharge Coping Difficulty Scale via a phone call 14 days post-discharge (range: 0-100; higher is worse). Associations were assessed by using multivariable linear regression, adjusting for parent- and patient-level covariates.

RESULTS

A total of 671 (81% of eligible parents) responded. Respondents were primarily women (90%), employed (66%), and had at least a high school degree (65%); 60% of children were white, 54% were publicly insured. Sixty-four percent of parents reported ≥1 ACE; 19% had ≥4 ACEs. The mean Brief Resilience Scale score for parents was 3.95. In adjusted analyses, higher ACEs and lower resilience were significantly associated with more difficulty coping after discharge.

CONCLUSIONS

More parental adversity and less resilience are associated with parental coping difficulties after discharge, representing potentially important levers for transition-focused interventions.

Health Care Expenditures and Utilization for Children With Noncomplex Chronic Disease

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Development of a New Care Model for Hospitalized Children With Medical Complexity

Children with medical complexity are a rapidly growing inpatient population with frequent, lengthy, and costly hospitalizations. During hospitalization, these patients require care coordination among multiple subspecialties and their outpatient medical homes. At a large freestanding children's hospital, a new inpatient model of care was developed in an effort to consistently provide coordinated, family-centered, and efficient care. In addition to expanding the multidisciplinary team to include a pharmacist, dietician, and social worker, the team redesign included: (1) medication reconciliation rounds, (2) care coordination rounds, and (3) multidisciplinary weekly handoff with outpatient providers. During weekly medication reconciliation rounds, the team pharmacist reviews each patient's current medications with the team. In care coordination rounds, the team collaborates with unit care managers to identify discharge needs and complete discharge tasks. Finally, at the end of the week, the outgoing hospital medicine attending physician hands off patient care to the incoming attending with input from the team's pharmacist, dietician, and social worker. Families and providers noted improvements in care coordination with the new care model. Remaining challenges include balancing resident autonomy and attending supervision, as well as supporting providers in delivering care that can be emotionally challenging. Aspects of this care model could be tested and adapted at other hospitals that care for children with medical complexity. Additionally, future work should study the impact of inpatient complex care models on patient health outcomes and experience.

Improving Recruitment and Retention Rates in a Randomized Controlled Trial

High recruitment and retention rates in randomized controlled trials are essential to ensure validity and broad generalizability. We used quality improvement methods, including run charts and intervention cycles, to achieve and sustain high recruitment and retention rates during the Hospital-To-Home Outcomes randomized controlled trial. This study is examining the effects of a single nurse-led home health care visit after discharge for an acute pediatric hospitalization. A total of 1500 participants were enrolled in the 15-month study period. For study recruitment, we assessed the percentage of patients who enrolled in the study among those randomly selected to approach (goal ≥50%) and the percentage of patients who refused to enroll from those randomly selected to approach (goal ≤30%). For intervention completion, we examined the percentage of patients who completed the home visit intervention among those randomized to receive the intervention (goal ≥95%) were examined. Follow-up rates were tracked as the percentage of patients who completed the 14-day follow-up telephone survey (goal ≥95%). The study goals for 2 of the 4 metrics were met and sustained, with statistically significant improvements over time in 3 metrics. The median enrollment rate increased from 50% to 59%, and the median refusal rate decreased from 37% to 32%. The median intervention completion rate remained unchanged at 88%. The 14-day follow-up completion median rate increased from 94% to 96%. These results indicate that quality improvement methods can be used within the scope of a large research study to achieve and sustain high recruitment and retention rates.

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.

Children's Hospital Characteristics and Readmission Metrics

BACKGROUND AND OBJECTIVE

Like their adult counterparts, pediatric hospitals are increasingly at risk for financial penalties based on readmissions. Limited information is available on how the composition of a hospital's patient population affects performance on this metric and hence affects reimbursement for hospitals providing pediatric care. We sought to determine whether applying different readmission metrics differentially affects hospital performance based on the characteristics of patients a hospital serves.

METHODS

We performed a cross-sectional analysis of 64 children's hospitals from the Children's Hospital Association Case Mix Comparative Database 2012 and 2013. We calculated 30-day observed-to-expected readmission ratios by using both all-cause (AC) and Potentially Preventable Readmissions (PPR) metrics. We examined the association between observed-to-expected rates and hospital characteristics by using multivariable linear regression.

RESULTS

We examined a total of 1 416 716 hospitalizations. The mean AC 30-day readmission rate was 11.3% (range 4.3%-19.6%); the mean PPR rate was 4.9% (range 2.9%-6.9%). The average 30-day AC observed-to-expected ratio was 0.96 (range 0.63-1.23), compared with 0.95 (range 0.65-1.23) for PPR; 59% of hospitals performed better than expected on both measures. Hospitals with higher volumes, lower percentages of infants, and higher percentage of patients with low income performed worse than expected on PPR.

CONCLUSIONS

High-volume hospitals, those that serve fewer infants, and those with a high percentage of patients from low-income neighborhoods have higher than expected PPR rates and are at higher risk of reimbursement penalties.

Using Address Information to Identify Hardships Reported by Families of Children Hospitalized With Asthma

OBJECTIVE

Socioeconomic hardship is common among children hospitalized for asthma but often not practically measurable. Information on where a child resides is universally available. We sought to determine the correlation between neighborhood-level socioeconomic data and family-reported hardships.

METHODS

Caregivers of 774 children hospitalized with asthma answered questions regarding income, financial strain, and primary care access. Addresses were geocoded and linked to zip code-, census tract-, and block group-level (neighborhood) data from the US Census. We then compared neighborhood median household income with family-reported household income; percentage of neighborhood residents living in poverty with family-reported financial strain; and percentage of neighborhood households without an available vehicle with family-reported access to primary care. We constructed heat maps and quantified correlations using Kendall rank correlation coefficient. Receiver operator characteristic curves were used to assess predictive abilities of neighborhood measures.

RESULTS

The cohort was 57% African American and 73% publicly-insured; 63% reported income <$30,000, 32% endorsed ≥4 financial strain measures, and 38% reported less than adequate primary care access. Neighborhood median household income was significantly and moderately correlated with and predictive of reported household income; neighborhood poverty was similarly related to financial strain; neighborhood vehicle availability was weakly correlated with and predictive of primary care access. Correlations and predictions provided by zip code measures were similar to those of census tract and block group.

CONCLUSIONS

Universally available neighborhood information might help efficiently identify children and families with socioeconomic hardships. Systematic screening with area-level socioeconomic measures has the potential to inform resource allocation more efficiently.

Explaining Racial Disparities in Child Asthma Readmission Using a Causal Inference Approach

IMPORTANCE

Childhood asthma is characterized by disparities in the experience of morbidity, including the risk for readmission to the hospital after an initial hospitalization. African American children have been shown to have more than 2 times the hazard of readmission when compared with their white counterparts.

OBJECTIVE

To explain why African American children are at greater risk for asthma-related readmissions than white children.

DESIGN, SETTING, AND PARTICIPANTS

This study was completed as part of the Greater Cincinnati Asthma Risks Study, a population-based, prospective, observational cohort. From August 2010 to October 2011, it enrolled 695 children, aged 1 to 16 years, admitted for asthma or wheezing who identified as African American (n = 441) or white (n = 254) in an inpatient setting of an urban, tertiary care children's hospital.

MAIN OUTCOMES AND MEASURES

The main outcome was time to asthma-related readmission and race was the predictor. Biologic, environmental, disease management, access, and socioeconomic hardship variables were measured; their roles in understanding racial readmission disparities were conceptualized using a directed acyclic graphic. Inverse probability of treatment weighting balanced African American and white children with respect to key measured variables. Racial differences in readmission hazard were assessed using weighted Cox proportional hazards regression and Kaplan-Meier curves.

RESULTS

The sample was 65% male (n = 450), and the median age was 5.4 years. African American children were 2.26 times more likely to be readmitted than white children (95% CI, 1.56-3.26). African American children significantly differed with respect to nearly every measured biologic, environmental, disease management, access, and socioeconomic hardship variable. Socioeconomic hardship variables explained 53% of the observed disparity (hazard ratio, 1.47; 95% CI, 1.05-2.05). The addition of biologic, environmental, disease management, and access variables resulted in 80% of the readmission disparity being explained. The difference between African American and white children with respect to readmission hazard no longer reached the level of significance (hazard ratio, 1.18; 95% CI, 0.87-1.60; Cox P = .30 and log-rank P = .39).

CONCLUSIONS AND RELEVANCE

A total of 80% of the observed readmission disparity between African American and white children could be explained after statistically balancing available biologic, environmental, disease management, access to care, and socioeconomic and hardship variables across racial groups. Such a comprehensive, well-framed approach to exposures that are associated with morbidity is critical as we attempt to better understand and lessen persistent child asthma disparities.

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

IMPORTANCE

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

OBJECTIVE

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

DESIGN, SETTING, AND PARTICIPANTS

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

EXPOSURES

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

MAIN OUTCOMES AND MEASURES

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

RESULTS

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

CONCLUSIONS AND RELEVANCE

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

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.

Risk of Hospital Readmission Among Infants With Neonatal Abstinence Syndrome

OBJECTIVE

Neonatal abstinence syndrome (NAS) is a postnatal drug withdrawal syndrome that may last for months. Our objective was to determine if infants with NAS are at increased risk for hospital readmission compared with uncomplicated term and late preterm newborns.

METHODS

In this longitudinal retrospective cohort study, administrative data were used for all births from 2006 to 2009 in the New York State Inpatient Database. We identified infants with NAS, born late preterm or uncomplicated term, as independent groups using diagnostic codes and determined readmission rates. We fit a multivariable logistic regression model with 30-day readmission after discharge as the outcome and infant characteristics, clinical morbidities, insurance type, and length of birth hospitalization as predictors.

RESULTS

From 2006 to 2009 in New York State, 700 613 infants were classified as uncomplicated term, 51 748 were born late preterm, and 1643 infants were diagnosed with NAS. After adjusting for confounders, infants with NAS (odds ratio [OR] 2.49, 95% confidence interval [CI] 1.75-3.55) were more likely than uncomplicated term infants to be readmitted within 30 days of birth hospitalizations. The risk of readmission was similar to late preterm infants (OR 2.26, 95% CI 2.09-2.45). Length of birth hospitalization in days was inversely related to odds of being readmitted within 30 days of birth hospitalization (OR 0.94 95% CI 0.92-0.96).

CONCLUSIONS

When compared with uncomplicated term infants, infants diagnosed with NAS were more than twice as likely to be readmitted to the hospital. Future research and state-level policies should investigate means to mitigate risk of hospital readmission for infants with NAS.