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.

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.

An Innovative Approach to Remote Electronic Health Onboarding Record Education Amid a Global Pandemic.

The COVID-19 pandemic required social and physical distancing to reduce the spread of disease. The reduction in meeting sizes made it difficult to offer traditional in-person EHR training to new and transferring employees. This paper aims to share how one nurse educator team used an innovative approach to transition traditional EHR onboarding education to synchronous remote learning during the global pandemic. Participants in the remote learning course (n = 94) were compared with those who had previously completed the traditional course (n = 110). Postcourse evaluations for each group were comparable. Remote learning participants found the technology conducive to training and reported higher scores for locating and reviewing patient information than those in the traditional course. Providing remote EHR education is comparable with traditional classroom education. Remote learning provided a safe, effective way to onboard new staff during the pandemic.

Developing Tools to Enhance the Adaptive Capacity (Safety II) of Health Care Providers at a Children's Hospital.

Current safety efforts in health care use Safety I (find and fix), which has benefits and shortcomings. Safety leaders in multiple industries realize that complex adaptive systems require a new approach-Safety II (proactive safety). Our goal was to develop practical, usable tools to spread Safety II and resilience engineering competencies to clinical frontline staff. Using our prior research and Plan-Do-Study-Act cycles, we developed tools to enhance Safety II competencies that individuals with various backgrounds could understand. Tools address recognizing (Pause to Predict), responding (IDEA), and learning (Feed Forward). These are being taught organizationally in a unit-by-unit sequence. Use of these tools is expected to prompt a shift toward a more proactive mental model of safety that we want our frontline providers to adopt. Coordinating the expertise of bedside clinicians during unprecedented events can safely expand the boundaries of conditions under which we can provide high-quality care by increasing individuals' and subsequently our systems' adaptive capacity. We believe this is the first work describing attempts to operationalize Safety II concepts broadly in a health care organization.

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.