Comparing Outcomes Between Direct and ED Admissions for Neonatal Hyperbilirubinemia.

OBJECTIVES: Pediatric direct admissions (DA) have multiple benefits including reduced emergency department (ED) volumes, greater patient and provider satisfaction, and decreased costs without compromising patient safety. We sought to compare resource utilization and outcomes between patients with a primary diagnosis of neonatal hyperbilirubinemia directly admitted with those admitted from the ED. METHODS: Single-center, retrospective study at a large, academic, free-standing children's hospital (2017-2021). Patients were between 24 hours and 14 days old with a gestational age of ≥35 weeks, admitted with a primary diagnosis of neonatal hyperbilirubinemia. Outcomes included length of stay (LOS), time to clinical care, resource utilization, NICU transfer, and 7-day readmission for phototherapy. RESULTS: A total of 1098 patients were included, with 276 (25.1%) ED admissions and 822 (74.9%) DAs. DAs experienced a shorter median time to bilirubin level collection (1.9 vs 2.1 hours, P = .003), received less intravenous fluids (8.9% vs 51.4%, P < .001), had less bilirubin levels collected (median of 3.0 vs 4.0, P < .001), received phototherapy sooner (median of 0.8 vs 4.2 hours, P < .001), and had a shorter LOS (median of 21 vs 23 hours, P = .002). One patient who was directly admitted required transfer to the NICU. No differences were observed in the 7-day readmission rates for phototherapy. CONCLUSIONS: Directly admitting patients for the management of neonatal hyperbilirubinemia is a preferred alternative to ED admission as our study demonstrated that DAs had a shorter time to clinical care, shorter LOS, and less unnecessary resource utilization with no difference in 7-day readmissions for phototherapy.

Direct Admission Program Implementation: A Qualitative Analysis of Variation Across Health Systems.

OBJECTIVES: Direct admission (DA) to the hospital has the potential to improve family satisfaction and timeliness of care by bypassing the emergency department. Using the RE-AIM implementation framework, we sought to characterize variation across health systems in the reach, effectiveness, adoption, and implementation of a DA program from the perspectives of parents and multidisciplinary clinicians. METHODS: As part of a stepped-wedge cluster randomized trial to compare the effectiveness of DA to admission through the emergency department, we evaluated DA rates across 69 clinics and 3 health systems and conducted semi-structured interviews with parents and clinicians. We used thematic analysis to identify themes related to the reach, effectiveness, adoption, and implementation of the DA program and applied axial coding to characterize thematic differences across sites. RESULTS: Of 2599 hospitalizations, 171 (6.6%) occurred via DA, with DA rates varying 10-fold across health systems from 0.9% to 9.3%. Through the analysis of 137 interviews, including 84 with clinicians and 53 with parents, we identified similarities across health systems in themes related to perceived program effectiveness and patient and family engagement. Thematic differences across sites in the domains of program implementation and clinician adoption included variation in transfer center efficiency, trust between referring and accepting clinicians, and the culture of change within the health system. CONCLUSIONS: The DA program was adopted variably, highlighting unique challenges and opportunities for implementation in different hospital systems. These findings can inform future quality improvement efforts to improve transitions to the hospital.

Improving Situational Awareness to Decrease Emergency ICU Transfers for Hospitalized Pediatric Cardiology Patients.

Introduction: Failure to recognize and mitigate critical patient deterioration remains a source of serious preventable harm to hospitalized pediatric cardiac patients. Emergency transfers (ETs) occur 10-20 times more often than code events outside the intensive care unit (ICU) and are associated with morbidity and mortality. This quality improvement project aimed to increase days between ETs and code events on an acute care cardiology unit (ACCU) from a baseline median of 17 and 32 days to ≥70 and 90 days within 12 months. Methods: Institutional leaders, cardiology-trained physicians and nurses, and trainees convened, utilizing the Institution for Healthcare Improvement model to achieve the project aims. Interventions implemented focused on improving situational awareness (SA), including a "Must Call List," evening rounds, a visual management board, and daily huddles. Outcome measures included calendar days between ETs and code events in the ACCU. Process measures tracked the utilization of interventions, and cardiac ICU length of stay was a balancing measure. Statistical process control chart methodology was utilized to analyze the impact of interventions. Results: Within the study period, we observed a centerline shift in primary outcome measures with an increase from 17 to 56 days between ETs and 32 to 62 days between code events in the ACCU, with sustained improvement. Intervention utilization ranged from 87% to 100%, and there was no observed special cause variation in our balancing measure. Conclusions: Interventions focused on improving SA in a particularly vulnerable patient population led to sustained improvement with reduced ETs and code events outside the ICU.

Hospitalists' Perceptions of Pediatric Mental Health Boarding: Quality of Care and Moral Distress.

BACKGROUND: Acute care hospitals increasingly provide care for youth experiencing mental health crises while they await transfer for psychiatric hospitalization. To inform quality improvement efforts, we aimed to characterize hospitalists' perceptions of health care quality during pediatric mental health boarding and their experiences of moral distress in caring for this population. METHODS: In March 2021, we conducted a web-based survey of hospitalists who participate in the Pediatric Research in Inpatient Settings (PRIS) network. Closed- and open-ended questions queried the quality of care provided to youth during boarding and clinician experience of moral distress in caring for these youth. We iteratively coded qualitative data for emergent themes. Moral distress was measured using 11 items from the Measure of Moral Distress for Health Care Professionals (MMD-HP), which categorizes sources of moral distress into system-, team-, and patient-level factors. RESULTS: Eighty-eight of 111 PRIS site leaders (79%) and 76 of 383 other PRIS members (20%) responded, representing 12 community hospitals, 38 freestanding children's hospitals, and 35 children's hospitals in adult centers. Emergent themes related to health care quality included the following: access to psychiatric services; safety; standardized workflows; clinician training; compassion/patient engagement; and collaboration and disposition planning. Hospitals often lacked desired resources, resulting in poor perceived therapeutic value of care, limited patient engagement, and provider moral distress. Four of the 5 highest MMD-HP item scores were related to system-level factors. CONCLUSION: Hospitalists identified several foci for quality improvement and described significant moral distress in caring for youth experiencing boarding, particularly related to health system factors.

The Deterioration Risk Index: Developing and Piloting a Machine Learning Algorithm to Reduce Pediatric Inpatient Deterioration.

OBJECTIVES: Develop and deploy a disease cohort-based machine learning algorithm for timely identification of hospitalized pediatric patients at risk for clinical deterioration that outperforms our existing situational awareness program. DESIGN: Retrospective cohort study. SETTING: Nationwide Children's Hospital, a freestanding, quaternary-care, academic children's hospital in Columbus, OH. PATIENTS: All patients admitted to inpatient units participating in the preexisting situational awareness program from October 20, 2015, to December 31, 2019, excluding patients over 18 years old at admission and those with a neonatal ICU stay during their hospitalization. INTERVENTIONS: We developed separate algorithms for cardiac, malignancy, and general cohorts via lasso-regularized logistic regression. Candidate model predictors included vital signs, supplemental oxygen, nursing assessments, early warning scores, diagnoses, lab results, and situational awareness criteria. Model performance was characterized in clinical terms and compared with our previous situational awareness program based on a novel retrospective validation approach. Simulations with frontline staff, prior to clinical implementation, informed user experience and refined interdisciplinary workflows. Model implementation was piloted on cardiology and hospital medicine units in early 2021. MEASUREMENTS AND MAIN RESULTS: The Deterioration Risk Index (DRI) was 2.4 times as sensitive as our existing situational awareness program (sensitivities of 53% and 22%, respectively; p < 0.001) and required 2.3 times fewer alarms per detected event (121 DRI alarms per detected event vs 276 for existing program). Notable improvements were a four-fold sensitivity gain for the cardiac diagnostic cohort (73% vs 18%; p < 0.001) and a three-fold gain (81% vs 27%; p < 0.001) for the malignancy diagnostic cohort. Postimplementation pilot results over 18 months revealed a 77% reduction in deterioration events (three events observed vs 13.1 expected, p = 0.001). CONCLUSIONS: The etiology of pediatric inpatient deterioration requires acknowledgement of the unique pathophysiology among cardiology and oncology patients. Selection and weighting of diverse candidate risk factors via machine learning can produce a more sensitive early warning system for clinical deterioration. Leveraging preexisting situational awareness platforms and accounting for operational impacts of model implementation are key aspects to successful bedside translation.

Cost analysis of hospitals performing continuous albuterol in non-intensive care settings.

OBJECTIVE: To compare hospital costs and resource utilization for pediatric asthma admissions based on the hospitals' availability of continuous albuterol aerosolization administration (CAA) in non-intensive care unit (ICU) settings. METHODS: We conducted a retrospective cohort study of children ages 2-17 years admitted in 2019 with a principal diagnosis of asthma using the Pediatric Health Information System. Hospitals and hospitalizations were categorized based on location of CAA administration, ICU-only versus general inpatient floors. Hospitals preforming CAA in an intermediate care unit were excluded. We calculated total cost, standardized unit costs and rates of interventions. Groups were compared using Chi-Square, t-test and Wilcoxon rank-sum test as indicated. A log linear mixed model was created to evaluate potential confounders. RESULTS: Twenty-one hospitals (7084 hospitalizations) allowed CAA on the floor.Twenty-four hospitals (6100 hospitalizations) allowed CAA in the ICU-only. Median total cost was $4639 (Interquartile Range (IQR) $3060-$7512) for the floor group and $5478 (IQR $3444-$8539) for the ICU-only group (p < 0.001) (mean cost difference of $775 per patient). Hospitalization costs were $4,726,829 (95% CI $3,459,920-$5,993,860) greater for the children treated at hospitals restricting CAA to the ICU. We observed higher standardized laboratory, imaging, clinical and other unit costs, along with higher use of interventions in the ICU-only group. After adjustment, we found that ICU stay and hospital LOS were the main drivers of cost difference between the groups. CONCLUSIONS: There was cost savings and decreased resource utilization for hospitals that performed CAA on the floor. Further studies exploring variations in asthma management are warranted.

Reduction of Very Rapid Emergency Transfers to the Pediatric Intensive Care Unit.

Introduction: Emergency transfers are associated with increased inpatient pediatric mortality. Therefore, interventions to improve system-level situational awareness were utilized to decrease a subset of emergency transfers that occurred within four hours of admission to an inpatient medical-surgical unit called very rapid emergency transfers (VRET). Specifically, we aimed to increase the days between VRET from non-ICU inpatient units from every 10 days to every 25 days over 1 year. Methods: Using the Model for Improvement, we developed an interdisciplinary team to reduce VRET. The key drivers targeted were the admission process from the emergency department and ambulatory clinics, sepsis recognition and communication, and expansion of our situational awareness framework. Days between VRET defined the primary outcome metric for this improvement project. Results: After six months of interventions, our baseline improved from a VRET every 10 days to every 79 days, followed by another shift to 177 days, which we sustained for 3 years peaking at 468 days between events. Conclusion: Interventions targeting multiple admission sources to improve early recognition and communication of potential clinical deterioration effectively reduced and nearly eliminated VRET at our organization.

Neonatal Use of Acute Care Services During the COVID-19 Pandemic.

OBJECTIVE: To describe changes in neonatal use of acute care services during the coronavirus disease 2019 (COVID-19) pandemic. We hypothesized neonatal visits would decrease and the degree of decline would vary by condition. METHODS: We conducted a retrospective cohort study of neonatal visits to the urgent cares, emergency departments, inpatient units, and intensive care units at a free-standing pediatric healthcare system during the COVID-19 pandemic and a comparator period. We included visits of infants presenting for acute care within the first 30 days of life. Transfers from a referring nursery, inpatient unit, or ICU were excluded. Data collected included demographics, patient characteristics, and visit characteristics. Descriptive statistics and χ2 tests were used for analyses and to determine statistically significant differences. RESULTS: We identified 4439 neonatal acute care visits, of which 2677 occurred in the prepandemic period and 1762 in the COVID-19 pandemic period, representing a 34.2% decline. Urgent cares and emergency departments experienced the greatest decline in visits for infectious conditions (49%) and the proportion of these visits also significantly decreased. Similarly, the largest clinically significant declines in hospitalizations were for infectious and respiratory diagnoses (48% and 52%, respectively) and the proportions of these hospitalizations also significantly decreased. Despite a small decline in hospitalizations for jaundice, the proportion of jaundice hospitalizations significantly increased by 5.7% (P = .02). CONCLUSIONS: The COVID-19 pandemic was associated with a significant reduction in neonatal visits across a spectrum of acute care settings. The impact on use varied by diagnosis with the most notable decline in visits for infectious conditions.

A diagnostic time-out to improve differential diagnosis in pediatric abdominal pain.

BACKGROUND: Pediatric abdominal pain is challenging to diagnose and often results in unscheduled return visits to the emergency department. External pressures and diagnostic momentum can impair physicians from thoughtful reflection on the differential diagnosis (DDx). We implemented a diagnostic time-out intervention and created a scoring tool to improve the quality and documentation rates of DDx. The specific aim of this quality improvement (QI) project was to increase the frequency of resident and attending physician documentation of DDx in pediatric patients admitted with abdominal pain by 25% over 6 months. METHODS: We reviewed a total of 165 patients admitted to the general pediatrics service at one institution. Sixty-four history and physical (H&P) notes were reviewed during the baseline period, July-December 2017; 101 charts were reviewed post-intervention, January-June 2018. Medical teams were tasked to perform a diagnostic time-out on all patients during the study period. Metrics tracked monthly included percentage of H&Ps with a 'complete' DDx and quality scores (Qs) using our Differential Diagnosis Scoring Rubric. RESULTS: At baseline, 43 (67%) resident notes and 49 (77%) attending notes documented a 'complete' DDx. Post-intervention, 59 (58%) resident notes and 69 (68%) attending notes met this criteria. Mean Qs, pre- to post-intervention, for resident-documented differential diagnoses increased slightly (2.41-2.47, p = 0.73), but attending-documented DDx did not improve (2.85-2.82, p = 0.88). CONCLUSIONS: We demonstrated a marginal improvement in the quality of resident-documented DDx. Expansion of diagnoses considered within a DDx may contribute to higher diagnostic accuracy.

The Diagnostic Error Index: A Quality Improvement Initiative to Identify and Measure Diagnostic Errors.

OBJECTIVE: To develop a diagnostic error index (DEI) aimed at providing a practical method to identify and measure serious diagnostic errors. STUDY DESIGN: A quality improvement (QI) study at a quaternary pediatric medical center. Five well-defined domains identified cases of potential diagnostic errors. Identified cases underwent an adjudication process by a multidisciplinary QI team to determine if a diagnostic error occurred. Confirmed diagnostic errors were then aggregated on the DEI. The primary outcome measure was the number of monthly diagnostic errors. RESULTS: From January 2017 through June 2019, 105 cases of diagnostic error were identified. Morbidity and mortality conferences, institutional root cause analyses, and an abdominal pain trigger tool were the most frequent domains for detecting diagnostic errors. Appendicitis, fractures, and nonaccidental trauma were the 3 most common diagnoses that were missed or had delayed identification. CONCLUSIONS: A QI initiative successfully created a pragmatic approach to identify and measure diagnostic errors by utilizing a DEI. The DEI established a framework to help guide future initiatives to reduce diagnostic errors.

Pediatric Inpatient Problem List Review and Accuracy Improvement.

BACKGROUND AND OBJECTIVES: The problem list (PL) is a meaningful use-incentivized criterion for electronic health record documentation. Inconsistent use or inaccuracy of the PL can create communication gaps among providers, potentially leading to diagnostic delays and serious safety events. The objective of the study was to increase the rate of PL review by attending physicians for inpatients discharged from hospital pediatrics and infectious disease services from a baseline of 70% to 80% by June 2018 and to sustain the rate for 6 months. The secondary aim was to improve PL accuracy by decreasing the rate of duplicate codes and red code diagnoses that should resolve before discharge from a baseline of 12% and 11%, respectively, to 5% and sustaining the rate for 6 months. METHODS: A quality improvement team used the Institute for Healthcare Improvement Model for Improvement. We tracked duplicate codes and red codes as surrogate markers of PL quality. Rates of PL review and PL quality were analyzed monthly via statistical process control charts (p-charts) with 3-σ control limits to identify special cause variation. RESULTS: PL review improved from a baseline of 70% to 90%, and the change was sustained for 1 year. PL quality improved as duplicate codes at the time of discharge decreased from 12% to 6% and as red codes decreased from a baseline of 11% to 6%. CONCLUSIONS: The PL is an important communication tool that is underused. By engaging and educating stakeholders, incentivizing compliance, standardizing PL management, leveraging electronic health record enhancements, and providing physician feedback, we improved PL meaningful use and quality.

Trends in adult patients presenting to pediatric emergency departments.

OBJECTIVE: Adults presenting to pediatric emergency departments (PEDs) include those with complex chronic conditions (CCCs) often still followed by pediatric providers, and those without CCCs (non-CCCs). This paper describes recent trends in adults seen within PEDs, both by age subgroups and CCC status. METHODS: Data were retrospectively reviewed from the Pediatric Health Information System for PED visits between Jan 1, 2013 and Dec 31, 2017. Yearly visit rates were trended for all adult visits, age subgroups (18-21, 22-25, 26-40, and 41-95 years), and by CCC status. The most frequent diagnoses were reviewed for each adult age group and CCC category. RESULTS: Rates of adult PED visits significantly increased from 3.7% in 2013 to 4.2% in 2017 (P < 0.0001). While the overall majority (88% overall and >70% for each age group) of adult PED patients were non-CCC, the rate of CCC patients increased overall (P < 0.0001), especially among older patients (41-95 years) from 8.7% in 2013 to 29% in 2017 (P < 0.0001). The most frequent CCC diagnoses were sickle cell disease (18-21 and 22-25 years), cardiac pathology (26-40 years), and hyperlipidemia (41-95 years). The most frequent non-CCC diagnoses were abdominal pain (18-21 years), pregnancy-related (22-25 and 26-40 years), and chest pain (41-95 years). CONCLUSION: Visits to PEDs by adult patients have increased over time, with the majority of the population being represented by non-CCC adults. The results of this study can be used to guide specifics in adult medicine training during Pediatric Emergency Medicine fellowship and assist in continuing education efforts.

Improving Early Discharges With an Electronic Health Record Discharge Optimization Tool.

INTRODUCTION: Delays in hospital discharge can negatively impact patient care, bed availability, and patient satisfaction. There are limited studies examining how the electronic health record (EHR) can be used to improve discharge timeliness. This study aimed to implement an EHR discharge optimization tool (DOT) successfully and achieve a discharge before noon (DBN) percentage of 25%. METHODS: We conducted a single-center quality improvement study of patients discharged from 3 pediatric hospital medicine teaching service teams at a quaternary care academic children's hospital. The multidisciplinary team created a DOT centrally embedded within the care team standard workflow to communicate anticipated time until discharge. The primary outcome was the monthly percentage of patients discharged before noon. Secondary outcomes included provider utilization of the DOT, tool accuracy, and patient length of stay. Balancing measures were 7- and 30-day readmission rates. RESULTS: The DBN percentage increased from 16.4% to an average of 19.3% over the 13-month intervention period (P = 0.0005). DOT utilization was measured at 87.2%, and the overall accuracy of predicting time until discharge was 75.6% (P < 0.0001). Median length of stay declined from 1.75 to 1.68 days (P = 0.0033), and there was no negative impact on 7- or 30-day readmission rates. CONCLUSION: This initiative demonstrated that a highly utilized and accurate discharge tool could be created in the EHR to assist medical care teams with improving DBN percentage on busy, academic teaching services.

The Vitals Risk Index-Retrospective Performance Analysis of an Automated and Objective Pediatric Early Warning System.

INTRODUCTION: Pediatric in-hospital cardiac arrests and emergent transfers to the pediatric intensive care unit (ICU) represent a serious patient safety concern with associated increased morbidity and mortality. Some institutions have turned to the electronic health record and predictive analytics in search of earlier and more accurate detection of patients at risk for decompensation. METHODS: Objective electronic health record data from 2011 to 2017 was utilized to develop an automated early warning system score aimed at identifying hospitalized children at risk of clinical deterioration. Five vital sign measurements and supplemental oxygen requirement data were used to build the Vitals Risk Index (VRI) model, using multivariate logistic regression. We compared the VRI to the hospital's existing early warning system, an adaptation of Monaghan's Pediatric Early Warning Score system (PEWS). The patient population included hospitalized children 18 years of age and younger while being cared for outside of the ICU. This dataset included 158 case hospitalizations (102 emergent transfers to the ICU and 56 "code blue" events) and 135,597 control hospitalizations. RESULTS: When identifying deteriorating patients 2 hours before an event, there was no significant difference between Pediatric Early Warning Score and VRI's areas under the receiver operating characteristic curve at false-positive rates ≤ 10% (pAUC10 of 0.065 and 0.064, respectively; P = 0.74), a threshold chosen to compare the 2 approaches under clinically tolerable false-positive rates. CONCLUSIONS: The VRI represents an objective, simple, and automated predictive analytics tool for identifying hospitalized pediatric patients at risk of deteriorating outside of the ICU setting.

Hospital-Level Variation in Practice Patterns and Patient Outcomes for Pediatric Patients Hospitalized With Functional Constipation.

BACKGROUND AND OBJECTIVE: Constipation is a common pediatric condition with a prevalence of 3% to 5% in children aged 4 to 17 years. Currently, there are no evidence-based guidelines for the management of pediatric patients hospitalized with constipation. The primary objective was to evaluate practice patterns and patient outcomes for the hospital management of functional constipation in US children's hospitals. METHODS: We conducted a multicenter, retrospective cohort study of children aged 0 to 18 years hospitalized for functional constipation from 2012 to 2014 by using the Pediatric Health Information System. Patients were included by using constipation and other related diagnoses as classified by International Classification of Diseases, Ninth Revision. Patients with complex chronic conditions were excluded. Outcome measures included percentage of hospitalizations due to functional constipation, therapies used, length of stay, and 90-day readmission rates. Statistical analysis included means with 95% confidence intervals for individual hospital outcomes. RESULTS: A total of 14 243 hospitalizations were included, representing 12 804 unique patients. The overall percentage of hospitalizations due to functional constipation was 0.65% (range: 0.19%-1.41%, P < .0001). The percentage of patients receiving the following treatment during their hospitalization included: electrolyte laxatives: 40% to 96%; sodium phosphate enema: 0% to 64%; mineral oil enema: 0% to 61%; glycerin suppository: 0% to 37%; bisacodyl 0% to 47%; senna: 0% to 23%; and docusate 0% to 11%. Mean length of stay was 1.97 days (range: 1.31-2.73 days, P < .0001). Mean 90-day readmission rate was 3.78% (range: 0.95%-7.53%, P < .0001). CONCLUSIONS: There is significant variation in practice patterns and clinical outcomes for pediatric patients hospitalized with functional constipation across US children's hospitals. Collaborative initiatives to adopt evidence-based best practices guidelines could help standardize the hospital management of pediatric functional constipation.