Assessment of a Situation Awareness Quality Improvement Intervention to Reduce Cardiac Arrests in the PICU.

OBJECTIVES: To use improved situation awareness to decrease cardiopulmonary resuscitation events by 25% over 18 months and demonstrate process and outcome sustainability. DESIGN: Structured quality improvement initiative. SETTING: Single-center, 35-bed quaternary-care PICU. PATIENTS: All patients admitted to the PICU from February 1, 2017, to December 31, 2020. INTERVENTIONS: Interventions targeted situation awareness and included bid safety huddles, bedside mitigation signs and huddles, smaller pod-based huddles, and an automated clinical decision support tool to identify high-risk patients. MEASUREMENTS AND MAIN RESULTS: The primary outcome metric, cardiopulmonary resuscitation event rate per 1,000 patient-days, decreased from a baseline of 3.1-1.5 cardiopulmonary resuscitation events per 1,000 patient-days or by 52%. The secondary outcome metric, mortality rate, decreased from a baseline of 6.6 deaths per 1,000 patient-days to 3.6 deaths per 1,000 patient-days. Process metrics included percent of clinical deterioration events predicted, which increased from 40% to 67%, and percent of high-risk patients with shared situation awareness, which increased from 43% to 71%. Balancing metrics included time spent in daily safety huddle, median 0.4 minutes per patient (interquartile range, 0.3-0.5), and a number needed to alert of 16 (95% CI, 14-25). Neither unit acuity as measured by Pediatric Risk of Mortality III scores nor the percent of deaths in patients with do-not-attempt resuscitation orders or electing withdrawal of life-sustaining technologies changed over time. CONCLUSIONS: Interprofessional teams using shared situation awareness may reduce cardiopulmonary resuscitation events and, thereby, improve outcomes.

Elevated Heart Rate and Risk of Revisit With Admission in Pediatric Emergency Patients.

OBJECTIVE: The aim of this study was to identify emergency department (ED) heart rate (HR) values that identify children at elevated risk of ED revisit with admission. METHODS: We performed a retrospective cohort study of patients 0 to 18 years old discharged from a tertiary-care pediatric ED from January 2013 to December 2014. We created percentile curves for the last recorded HR for age using data from calendar year 2013 and used receiver operating characteristic (ROC) curves to characterize the performance of the percentiles for predicting ED revisit with admission within 72 hours. In a held-out validation data set (calendar year 2014 data), we evaluated test characteristics of last-recorded HR-for-age cut points identified as promising on the ROC curves, as well as those identifying the highest 5% and 1% of last recorded HRs for age. RESULTS: We evaluated 183,433 eligible ED visits. Last recorded HR for age had poor discrimination for predicting revisit with admission (area under the curve, 0.61; 95% confidence interval, 0.58-0.63). No promising cut points were identified on the ROC curves. Cut points identifying the highest 5% and 1% of last recorded HRs for age showed low sensitivity (10.1% and 2.5%) with numbers needed to evaluate of 62 and 50, respectively, to potentially prevent 1 revisit with admission. CONCLUSIONS: Last recorded ED HR discriminates poorly between children who are and are not at risk of revisit with admission in a pediatric ED. The use of single-parameter HR in isolation as an automated trigger for mandatory reevaluation prior to discharge may not improve revisit outcomes.

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.

Prevalence of Continuous Pulse Oximetry Monitoring in Hospitalized Children With Bronchiolitis Not Requiring Supplemental Oxygen.

Importance: US national guidelines discourage the use of continuous pulse oximetry monitoring in hospitalized children with bronchiolitis who do not require supplemental oxygen. Objective: Measure continuous pulse oximetry use in children with bronchiolitis. Design, Setting, and Participants: A multicenter cross-sectional study was performed in pediatric wards in 56 US and Canadian hospitals in the Pediatric Research in Inpatient Settings Network from December 1, 2018, through March 31, 2019. Participants included a convenience sample of patients aged 8 weeks through 23 months with bronchiolitis who were not receiving active supplemental oxygen administration. Patients with extreme prematurity, cyanotic congenital heart disease, pulmonary hypertension, home respiratory support, neuromuscular disease, immunodeficiency, or cancer were excluded. Exposures: Hospitalization with bronchiolitis without active supplemental oxygen administration. Main Outcomes and Measures: The primary outcome, receipt of continuous pulse oximetry, was measured using direct observation. Continuous pulse oximetry use percentages were risk standardized using the following variables: nighttime (11 pm to 7 am), age combined with preterm birth, time after weaning from supplemental oxygen or flow, apnea or cyanosis during the present illness, neurologic impairment, and presence of an enteral feeding tube. Results: The sample included 3612 patient observations in 33 freestanding children's hospitals, 14 children's hospitals within hospitals, and 9 community hospitals. In the sample, 59% were male, 56% were white, and 15% were black; 48% were aged 8 weeks through 5 months, 28% were aged 6 through 11 months, 16% were aged 12 through 17 months, and 9% were aged 18 through 23 months. The overall continuous pulse oximetry monitoring use percentage in these patients, none of whom were receiving any supplemental oxygen or nasal cannula flow, was 46% (95% CI, 40%-53%). Hospital-level unadjusted continuous pulse oximetry use ranged from 2% to 92%. After risk standardization, use ranged from 6% to 82%. Intraclass correlation coefficient suggested that 27% (95% CI, 19%-36%) of observed variation was attributable to unmeasured hospital-level factors. Conclusions and Relevance: In a convenience sample of children hospitalized with bronchiolitis who were not receiving active supplemental oxygen administration, monitoring with continuous pulse oximetry was frequent and varied widely among hospitals. Because of the apparent absence of a guideline- or evidence-based indication for continuous monitoring in this population, this practice may represent overuse.

Efficacy and Safety of Pediatric Critical Care Physician Telemedicine Involvement in Rapid Response Team and Code Response in a Satellite Facility.

OBJECTIVES: Satellite inpatient facilities of larger children's hospitals often do not have on-site intensivist support. In-house rapid response teams and code teams may be difficult to operationalize in such facilities. We developed a system using telemedicine to provide pediatric intensivist involvement in rapid response team and code teams at the satellite facility of our children's hospital. Herein, we compare this model with our in-person model at our main campus. DESIGN: Cross-sectional. SETTING: A tertiary pediatric center and its satellite facility. PATIENTS: Patients admitted to the satellite facility. INTERVENTIONS: Implementation of a rapid response team and code team model at a satellite facility using telemedicine to provide intensivist support. MEASUREMENTS AND MAIN RESULTS: We evaluated the success of the telemedicine model through three a priori outcomes: 1) reliability: involvement of intensivist on telemedicine rapid response teams and codes, 2) efficiency: time from rapid response team and code call until intensivist response, and 3) outcomes: disposition of telemedicine rapid response team or code calls. We compared each metric from our telemedicine model with our established main campus model. MAIN RESULTS: Critical care was involved in satellite campus rapid response team activations reliably (94.6% of the time). The process was efficient (median response time 7 min; mean 8.44 min) and effective (54.5 % patients transferred to PICU, similar to the 45-55% monthly rate at main campus). For code activations, the critical care telemedicine response rate was 100% (6/6), with a fast response time (median 1.5 min). We found no additional risk to patients, with no patients transferred from the satellite campus requiring a rapid escalation of care defined as initiation of vasoactive support, greater than 60 mL/kg in fluid resuscitation, or endotracheal intubation. CONCLUSIONS: Telemedicine can provide reliable, timely, and effective critical care involvement in rapid response team and Code Teams at satellite facilities.

Identifying Pediatric Severe Sepsis and Septic Shock: Accuracy of Diagnosis Codes.

OBJECTIVES: To evaluate accuracy of 2 established administrative methods of identifying children with sepsis using a medical record review reference standard. STUDY DESIGN: Multicenter retrospective study at 6 US children's hospitals. Subjects were children >60 days to <19 years of age and identified in 4 groups based on International Classification of Diseases, Ninth Revision, Clinical Modification codes: (1) severe sepsis/septic shock (sepsis codes); (2) infection plus organ dysfunction (combination codes); (3) subjects without codes for infection, organ dysfunction, or severe sepsis; and (4) infection but not severe sepsis or organ dysfunction. Combination codes were allowed, but not required within the sepsis codes group. We determined the presence of reference standard severe sepsis according to consensus criteria. Logistic regression was performed to determine whether addition of codes for sepsis therapies improved case identification. RESULTS: A total of 130 out of 432 subjects met reference SD of severe sepsis. Sepsis codes had sensitivity 73% (95% CI 70-86), specificity 92% (95% CI 87-95), and positive predictive value 79% (95% CI 70-86). Combination codes had sensitivity 15% (95% CI 9-22), specificity 71% (95% CI 65-76), and positive predictive value 18% (95% CI 11-27). Slight improvements in model characteristics were observed when codes for vasoactive medications and endotracheal intubation were added to sepsis codes (c-statistic 0.83 vs 0.87, P = .008). CONCLUSIONS: Sepsis specific International Classification of Diseases, Ninth Revision, Clinical Modification codes identify pediatric patients with severe sepsis in administrative data more accurately than a combination of codes for infection plus organ dysfunction.

Pediatric severe sepsis in U.S. children's hospitals.

OBJECTIVES: To compare the prevalence, resource utilization, and mortality for pediatric severe sepsis identified using two established identification strategies. DESIGN: Observational cohort study from 2004 to 2012. SETTING: Forty-four pediatric hospitals contributing data to the Pediatric Health Information Systems database. PATIENTS: Children 18 years old or younger. MEASUREMENTS AND MAIN RESULTS: We identified patients with severe sepsis or septic shock by using two International Classification of Diseases, 9th edition, Clinical Modification-based coding strategies: 1) combinations of International Classification of Diseases, 9th edition, Clinical Modification codes for infection plus organ dysfunction (combination code cohort); 2) International Classification of Diseases, 9th edition, Clinical Modification codes for severe sepsis and septic shock (sepsis code cohort). Outcomes included prevalence of severe sepsis, as well as hospital and ICU length of stay, and mortality. Outcomes were compared between the two cohorts examining aggregate differences over the study period and trends over time. The combination code cohort identified 176,124 hospitalizations (3.1% of all hospitalizations), whereas the sepsis code cohort identified 25,236 hospitalizations (0.45%), a seven-fold difference. Between 2004 and 2012, the prevalence of sepsis increased from 3.7% to 4.4% using the combination code cohort and from 0.4% to 0.7% using the sepsis code cohort (p < 0.001 for trend in each cohort). Length of stay (hospital and ICU) and costs decreased in both cohorts over the study period (p < 0.001). Overall, hospital mortality was higher in the sepsis code cohort than the combination code cohort (21.2% [95% CI, 20.7-21.8] vs 8.2% [95% CI, 8.0-8.3]). Over the 9-year study period, there was an absolute reduction in mortality of 10.9% (p < 0.001) in the sepsis code cohort and 3.8% (p < 0.001) in the combination code cohort. CONCLUSIONS: Prevalence of pediatric severe sepsis increased in the studied U.S. children's hospitals over the past 9 years, whereas resource utilization and mortality decreased. Epidemiologic estimates of pediatric severe sepsis varied up to seven-fold depending on the strategy used for case ascertainment.

Transition to Weight-Based High-Flow Nasal Cannula Use Outside of the ICU for Bronchiolitis.

Importance: Most children's hospitals have adopted weight-based high-flow nasal cannula (HFNC) bronchiolitis protocols for use outside of the intensive care unit (ICU) setting. Whether these protocols are achieving their goal of reducing bronchiolitis-related ICU admissions remains unknown. Objective: To measure the association between hospital transition to weight-based non-ICU HFNC use and subsequent ICU admission. Design, Setting, and Participants: This multicenter retrospective cohort study was conducted with a controlled interrupted time series approach and involved 18 children's hospitals that contribute data to the Pediatric Health Information Systems database. The cohort included patients aged 0 to 24 months who were hospitalized with a diagnosis of bronchiolitis between January 1, 2010, and December 31, 2021. Data were analyzed from July 2023 to January 2024. Exposure: Hospital-level transition from ICU-only to weight-based non-ICU protocol for HFNC use. Data for the ICU-only group were obtained from a previously published survey. Main Outcomes and Measures: Proportion of patients with bronchiolitis admitted to the ICU. Results: A total of 86 046 patients with bronchiolitis received care from 10 hospitals in the ICU-only group (n = 47 336; 27 850 males [58.8%]; mean [SD] age, 7.6 [6.2] years) and 8 hospitals in the weight-based protocol group (n = 38 710; 22 845 males [59.0%]; mean [SD] age, 7.7 [6.3] years). Mean age and sex were similar for patients between the 2 groups. Hospitals in the ICU-only group vs the weight-based protocol group had higher proportions of Black (26.2% vs 19.8%) and non-Hispanic (81.6% vs 63.8%) patients and patients with governmental insurance (68.1% vs 65.9%). Hospital transition to a weight-based HFNC protocol was associated with a 6.1% (95% CI, 8.7%-3.4%) decrease per year in ICU admission and a 1.5% (95% CI, 2.8%-0.1%) reduction per year in noninvasive positive pressure ventilation use compared with the ICU-only group. No differences in mean length of stay or the proportion of patients who received invasive mechanical ventilation were found between groups. Conclusions and Relevance: Results of this cohort study of hospitalized patients with bronchiolitis suggest that transition from ICU-only to weight-based non-ICU HFNC protocols is associated with reduced ICU admission rates.

Assessing the Revised Safer Dx Instrument® in the understanding of ambulatory system design changes for type 1 diabetes and autism spectrum disorder in pediatrics.

OBJECTIVES: We sought within an ambulatory safety study to understand if the Revised Safer Dx instrument may be helpful in identification of diagnostic missed opportunities in care of children with type 1 diabetes (T1D) and autism spectrum disorder (ASD). METHODS: We reviewed two months of emergency department (ED) encounters for all patients at our tertiary care site with T1D and a sample of such encounters for patients with ASD over a 15-month period, and their pre-visit communication methods to better understand opportunities to improve diagnosis. We applied the Revised Safer Dx instrument to each diagnostic journey. We chose potentially preventable ED visits for hyperglycemia, diabetic ketoacidosis, and behavioral crises, and reviewed electronic health record data over the prior three months related to the illness that resulted in the ED visit. RESULTS: We identified 63 T1D and 27 ASD ED visits. Using the Revised Safer Dx instrument, we did not identify any potentially missed opportunities to improve diagnosis in T1D. We found two potential missed opportunities (Safer Dx overall score of 5) in ASD, related to potential for ambulatory medical management to be improved. Over this period, 40 % of T1D and 52 % of ASD patients used communication prior to the ED visit. CONCLUSIONS: Using the Revised Safer Dx instrument, we uncommonly identified missed opportunities to improve diagnosis in patients who presented to the ED with potentially preventable complications of their chronic diseases. Future researchers should consider prospectively collected data as well as development or adaptation of tools like the Safer Dx.

Increasing the Use of Enteral Antibiotics in Hospitalized Children With Uncomplicated Infections.

BACKGROUND: Route of administration is an important component of antimicrobial stewardship. Early transition from intravenous to enteral antibiotics in hospitalized children is associated with fewer catheter-related adverse events, as well as decreased costs and length of stay. Our aim was to increase the percentage of enteral antibiotic doses for hospital medicine patients with uncomplicated common bacterial infections (community-acquired pneumonia, skin and soft tissue infection, urinary tract infection, neck infection) from 50% to 80% in 6 months. METHODS: We formed a multidisciplinary team to evaluate key drivers and design plan-do-study-act cycles. Interventions included provider education, structured discussion at existing team huddles, and pocket-sized printed information. Our primary measure was the percentage of antibiotic doses given enterally to patients receiving other enteral medications. Secondary measures included antibiotic cost, number of peripheral intravenous catheters, length of stay, and 7-day readmission. We used statistical process control charts to track our measures. RESULTS: Over a 6-month baseline period and 12 months of improvement work, we observed 3183 antibiotic doses (888 in the baseline period, 2295 doses during improvement work). We observed an increase in the percentage of antibiotic doses given enterally per week for eligible patients from 50% to 67%. We observed decreased antibiotic costs and fewer peripheral intravenous catheters per encounter after the interventions. There was no change in length of stay or readmissions. CONCLUSIONS: We observed increased enteral antibiotic doses for children hospitalized with common bacterial infections. Interventions targeting culture change and communication were associated with sustained improvement.

Getting Started With Multi-site Research: Lessons From the Eliminating Monitor Overuse (EMO) Study.

Research in Pediatric Hospital Medicine is growing and expanding rapidly, and with this comes the need to expand single-site research projects into multisite research studies within practice-based research networks. This expansion is crucial to ensure generalizable findings in diverse populations; however, expanding Pediatric Hospital Medicine research projects from single to multisite can be daunting. We provide an overview of major logistical steps and challenges in project management, regulatory approvals, data use agreements, training, communication, and financial management that are germane to hospitalist researchers launching their first multisite project by sharing processes and lessons learned from running multisite research projects in the Pediatric Research in Inpatient Settings Network within the Eliminating Monitor Overuse study portfolio. This description is relevant to hospitalist researchers transitioning from single-site to multisite research or those considering serving as site lead for a multisite project.

A multicenter randomized trial to compare automatic versus as-needed follow-up for children hospitalized with common infections: The FAAN-C trial protocol.

INTRODUCTION: Physicians commonly recommend automatic primary care follow-up visits to children being discharged from the hospital. While automatic follow-up provides an opportunity to address postdischarge needs, the alternative is as-needed follow-up. With this strategy, families monitor their child's symptoms and decide if they need a follow-up visit in the days after discharge. In addition to being family centered, as-needed follow-up has the potential to reduce time and financial burdens on both families and the healthcare system. As-needed follow-up has been shown to be safe and effective for children hospitalized with bronchiolitis, but the extent to which hospitalized children with other common conditions might benefit from as-needed follow-up is unclear. METHODS: The Follow-up Automatically versus As-Needed Comparison (FAAN-C, or "fancy") trial is a multicenter randomized controlled trial. Children who are hospitalized for pneumonia, urinary tract infection, skin and soft tissue infection, or acute gastroenteritis are eligible to participate. Participants are randomized to an as-needed versus automatic posthospitalization follow-up recommendation. The sample size estimate is 2674 participants and the primary outcome is all-cause hospital readmission within 14 days of discharge. Secondary outcomes are medical interventions and child health-related quality of life. Analyses will be conducted in an intention-to-treat manner, testing noninferiority of as-needed follow-up compared with automatic follow-up. DISCUSSION: FAAN-C will elucidate the relative benefits of an as-needed versus automatic follow-up recommendation, informing one of the most common decisions faced by families of hospitalized children and their medical providers. Findings from FAAN-C will also have implications for national quality metrics and guidelines.

Frequency of Treatment Failure of UTIs in Children With Congenital Urinary Tract Anomalies.

OBJECTIVES: Children with certain congenital anomalies of the kidney and urinary tract and neurogenic bladder (CAKUT/NGB) are at higher risk of treatment failure for urinary tract infections (UTIs) than children with normal genitourinary anatomy, but the literature describing treatment and outcomes is limited. The objectives of this study were to describe the rate of treatment failure in children with CAKUT/NGB and compare duration of antibiotics between those with and without treatment failure. METHODS: Multicenter retrospective cohort of children 0 to 17 years old with CAKUT/NGB who presented to the emergency department with fever or hypothermia and were diagnosed with UTI between 2017 and 2018. The outcome of interest was treatment failure, defined as subsequent emergency department visit or hospitalization for UTI because of the same pathogen within 30 days of the index encounter. Descriptive statistics and univariates analyses were used to compare covariates between groups. RESULTS: Of the 2014 patient encounters identified, 482 were included. Twenty-nine (6.0%) of the 482 included encounters had treatment failure. There was no difference in the mean duration of intravenous antibiotics (3.4 ± 2.5 days, 3.5 ± 2.8 days, P = .87) or total antibiotics between children with and without treatment failure (10.2 ± 3.8 days, 10.8 ± 4.0 days, P = .39) Of note, there was a higher rate of bacteremia in children with treatment failure (P = .04). CONCLUSIONS: In children with CAKUT/NGB and UTI, 6.0% of encounters had treatment failure. Duration of antibiotics was not associated with treatment failure. Larger studies are needed to assess whether bacteremia modifies the risk of treatment failure.

The Current State of High-Flow Nasal Cannula Protocols at Children's Hospitals.

OBJECTIVES: To describe the current state of non-ICU high flow nasal cannula (HFNC) protocols at children's hospitals and explore associations between HFNC protocol type and utilization outcomes. METHODS: We performed a cross-sectional study of the Pediatric Health Information Systems (PHIS) database. First, we designed a survey with the purpose of classifying HFNC protocols used at hospitals currently contributing data to PHIS. Next, we categorized hospitals based on their current HFNC protocol (ICU only, age-based non-ICU, or weight-based non-ICU). Finally, using the PHIS database, we compared hospital characteristics and patient-level bronchiolitis outcomes by HFNC protocol group. RESULTS: We received survey responses from 36 of 44 (82%) hospitals contributing data to PHIS in 2021. During the time period studied, there was a steady increase in adoption of non-ICU HFNC protocols, with 71% of responding children's hospitals reporting non-ICU HFNC protocols in 2021 compared with 11% before 2010. No differences in hospital characteristics were observed between ICU-only hospitals, age-based hospitals, or weight-based hospitals. Age-based hospitals had the highest proportion of bronchiolitis patients treated in the ICU (36.1%), whereas weight-based hospitals had the lowest proportion of patients treated in the ICU (21.0%, P < .001). Length of stay was longer at age-based hospitals (2.9 days) as compared with weight-based and ICU-only hospitals (1.9 days, P < .001). CONCLUSIONS: Most children's hospitals have adopted non-ICU HFNC protocols for patients with bronchiolitis, the majority of which are now utilizing weight-based maximum flow rates. Weight-based HFNC protocols were associated with decreased ICU utilization compared with age-based HFNC protocols.

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.

Brief report: Improving communication of diagnostic uncertainty to families of hospitalized children.

OBJECTIVES: Diagnostic uncertainty is not reliably communicated to patients and caregivers. This study aims to identify barriers and facilitators to effective communication of diagnostic uncertainty, including development of potential tools and strategies for improvement, as perceived by healthcare professionals and caregivers. METHODS: We completed structured interviews with providers and caregivers of hospitalized children with uncertain diagnoses (UD). The interview guides addressed barriers to communication, key components for communication of uncertainty, and qualities of effective communication. The interviews concluded with respondents prioritizing potential interventions to improve communication of uncertainty. Interviews were audio recorded, transcribed, and independently analyzed by two team members to identify common themes. RESULTS: Ten provider and five caregiver interviews were conducted. Common barriers to communication of uncertainty included time constraints, language barriers, and lack of clear definition of UD. Caregiver suggestions for improvement included sharing expectations of the diagnostic process and use of both written and visual communication tools. Interview respondents favored interventions of a sign summarizing the key components of diagnostic uncertainty for display in patient rooms and a structured diagnostic pause during daily rounds. CONCLUSIONS: We identified several potential interventions that may enhance communication of diagnostic uncertainty and better engage patients and caregivers in the diagnostic process.

Use of design thinking and human factors approach to improve situation awareness in the pediatric intensive care unit.

BACKGROUND: Optimal design of healthcare spaces can enhance patient care. We applied design thinking and human factors principles to optimize communication and signage on high risk patients to improve situation awareness in a new clinical space for the pediatric ICU. OBJECTIVE: To assess the impact of these tools in mitigating situation awareness concerns within the new clinical space. We hypothesized that implementing these design-informed tools would either maintain or improve situation awareness. DESIGN, SETTINGS, AND PARTICIPANTS: A 15-week design thinking process was employed, involving research, ideation, and refinement to develop and implement new situation awareness tools. The process included engagement with interprofessional clinical teams, scenario planning, workflow mapping, iterative feedback collection, and collaboration with an industry partner for signage development and implementation. INTERVENTION: Improved and updated communication devices and bedside mitigation plans. MAIN OUTCOME AND MEASURES: Process metrics included individual and shared situation awareness of PICU care teams and our patient outcome metric was the rate of cardiopulmonary resuscitation (CPR) events pre- and post-transition. RESULTS: When evaluating all patients, shared situation awareness for accurate high-risk status improved from 81% pre-transition to 92% post-transition (p = .006). When assessing individual care team roles, accuracy of patient high-risk status improved from 88% to 95% (p = .05) for RNs, 85% to 96% (p = .003) for residents, and 88% to 95% (p = .03) for RTs. There was no change in the rate of CPR events following the transition.

Developing a machine learning model to detect diagnostic uncertainty in clinical documentation.

BACKGROUND AND OBJECTIVE: Diagnostic uncertainty, when unrecognized or poorly communicated, can result in diagnostic error. However, diagnostic uncertainty is challenging to study due to a lack of validated identification methods. This study aims to identify distinct linguistic patterns associated with diagnostic uncertainty in clinical documentation. DESIGN, SETTING AND PARTICIPANTS: This case-control study compares the clinical documentation of hospitalized children who received a novel uncertain diagnosis (UD) diagnosis label during their admission to a set of matched controls. Linguistic analyses identified potential linguistic indicators (i.e., words or phrases) of diagnostic uncertainty that were then manually reviewed by a linguist and clinical experts to identify those most relevant to diagnostic uncertainty. A natural language processing program categorized medical terminology into semantic types (i.e., sign or symptom), from which we identified a subset of these semantic types that both categorized reliably and were relevant to diagnostic uncertainty. Finally, a competitive machine learning modeling strategy utilizing the linguistic indicators and semantic types compared different predictive models for identifying diagnostic uncertainty. RESULTS: Our cohort included 242 UD-labeled patients and 932 matched controls with a combination of 3070 clinical notes. The best-performing model was a random forest, utilizing a combination of linguistic indicators and semantic types, yielding a sensitivity of 89.4% and a positive predictive value of 96.7%. CONCLUSION: Expert labeling, natural language processing, and machine learning methods combined with human validation resulted in highly predictive models to detect diagnostic uncertainty in clinical documentation and represent a promising approach to detecting, studying, and ultimately mitigating diagnostic uncertainty in clinical practice.

Safer Type 1 Diabetes Care at Home: SEIPS-based Process Mapping with Parents and Clinicians.

Introduction: The limited data indicate that pediatric medical errors in the outpatient setting, including at home, are common. This study is the first step of our Ambulatory Pediatric Patient Safety Learning Lab to address medication errors and treatment delays among children with T1D in the outpatient setting. We aimed to identify failures and potential solutions associated with medication errors and treatment delays among outpatient children with T1D. Methods: A transdisciplinary team of parents, safety researchers, and clinicians used Systems Engineering Initiative for Patient Safety (SEIPS) based process mapping of data we collected through in-home medication review, observation of administration, chart reviews, parent surveys, and failure modes and effects analysis (FMEA). Results: Eight (57%) of the 14 children who had home visits experienced 18 errors (31 per 100 medications). Four errors in two children resulted in harm, and 13 had the potential for harm. Two injuries occurred when parents failed to treat severe hypoglycemia and lethargy, and two were due to repeated failures to administer insulin at home properly. In SEIPS-based process maps, high-risk errors occurred during communication between the clinic and home or in management at home. Two FMEAs identified interventions to better communicate with families and support home care, especially during evolving illness. Conclusion: Using SEIPS-based process maps informed by multimodal methods to identify medication errors and treatment delays, we found errors were common. Better support for managing acute illness at home and improved communication between the clinic and home are potentially high-yield interventions.

Quality Improvement to Reduce High-Flow Nasal Cannula Overuse in Children With Bronchiolitis.

BACKGROUND: High-flow nasal cannula oxygen therapy (HFNC) is increasingly used to treat bronchiolitis. However, HFNC has not reduced time on supplemental oxygen, length of stay (LOS), or ICU admission. Our objective was to reduce HFNC use in children admitted for bronchiolitis from 41% to 20% over 2 years. METHODS: Using quality improvement methods, our multidisciplinary team formulated key drivers, including standardization of HFNC use, effective communication, knowledgeable staff, engaged providers and families, data transparency, and high-value care focus. Interventions included: (1) standardized HFNC initiation criteria, (2) staff education, (3) real-time feedback to providers, (4) a script for providers to use with families about expectations during admission, (5) team huddle for patients admitted on HFNC to discuss necessity, and (6) distribution of a bronchiolitis toolkit. We used statistical process control charts to track the percentage of children with bronchiolitis who received HFNC. Data were compared with a comparison institution not actively involved in quality improvement work around HFNC use to ensure improvements were not secondary to the COVID-19 pandemic alone. RESULTS: Over 10 months of interventions, we saw a decrease in HFNC use for patients admitted with bronchiolitis from 41% to 22%, which was sustained for >12 months. There was no change in HFNC use at the comparison institution. The overall mean LOS for children with bronchiolitis decreased from 60 to 45 hours. CONCLUSIONS: We successfully reduced HFNC use in children with bronchiolitis, improving delivery of high-value and evidence-based care. This reduction was associated with a 25% decrease in LOS.