ABSTRACT
Objective: We describe the characteristics and outcomes of pediatric rapid response team (RRT) events within a single institution, categorized by reason for RRT activation (RRT triggers). We hypothesized that events with multiple triggers are associated with worse outcomes. Patients and Methods: Retrospective 3-year study at a high-volume tertiary academic pediatric hospital. We included all patients with index RRT events during the study period. Results: Association of patient and RRT event characteristics with outcomes including transfers to ICU, need for advanced cardiopulmonary support, ICU and hospital length of stay (LOS), and mortality were studied. We reviewed 2,267 RRT events from 2,088 patients. Most (59%) were males with a median age of 2 years and 57% had complex chronic conditions. RRT triggers were: respiratory (36%) and multiple (35%). Transfer to the ICU occurred after 1,468 events (70%). Median hospital and ICU LOS were 11 and 1 days. Need for advanced cardiopulmonary support was noted in 291 events (14%). Overall mortality was 85 (4.1%), with 61 (2.9%) of patients having cardiopulmonary arrest (CPA). Multiple RRT trigger events were associated with transfer to the ICU (559 events; OR 1.48; p < 0.001), need for advanced cardiopulmonary support (134 events; OR 1.68; p < 0.001), CPA (34 events; OR 2.36; p = 0.001), and longer ICU LOS (2 vs. 1 days; p < 0.001). All categories of triggers have lower odds of need for advanced cardiopulmonary support than multiple triggers (OR 1.73; p < 0.001). Conclusions: RRT events with multiple triggers were associated with cardiopulmonary arrest, transfer to ICU, need for cardiopulmonary support, and longer ICU LOS. Knowledge of these associations can guide clinical decisions, care planning, and resource allocation.
ABSTRACT
BACKGROUND: Debriefing clinical events in the emergency department (ED) can enhance team performance and provide mutual support. However, ED debriefing remains infrequent and nonstandardized. A clinical tool (DISCERN-Debriefing In Situ Conversation after Emergent Resuscitation Now) was developed to facilitate ED debriefing. To date, there are no studies providing qualitative analysis of clinical event debriefs done using such a tool. Our goal was to explore common themes elicited by debriefing following implementation of DISCERN. METHODS: This was a retrospective mixed-methods study analyzing DISCERN data from 2012 through 2017 in a pediatric ED. Quantitative data were analyzed using descriptive statistics. With constant comparison analysis, themes were categorized when applicable within the context of crisis resource management (CRM) principles, previously used as a framework for description of nontechnical skills. Member checking was performed to ensure trustworthiness. RESULTS: We reviewed 400 DISCERN forms. Overall, 170 (41.6%) of target clinical events were debriefed during the study period. The number of clinical events debriefed per year decreased significantly over the study period, from 118 debriefed events in 2013 to 20 debriefed events in 2017 (p < 0.001). Events were more likely to be debriefed if cardiopulmonary resuscitation was needed (odds ratio [OR] = 11.8, 95% confidence interval [CI] = 4.1-33.8]) or if the patient expired (OR = 8.9, 95% CI = 2.7-29.1]). CRM principles accounted for 81% of debriefing statements, focusing on teamwork, communication, and preparation, and these themes remained consistent throughout the study period. CONCLUSIONS: Use of the DISCERN tool declined over the study period. The DISCERN tool was utilized more commonly after the highest-acuity events. Clinical event debriefs aligned with CRM principles, with medical knowledge discussed less frequently, and the content of debriefs remained stable over time.
ABSTRACT
Refugees and internally displaced persons in humanitarian settings are particularly susceptible to the spread of infectious illnesses such as COVID-19 due to overcrowding and inadequate access to clean water, sanitation, and hygiene facilities. Countries facing conflict or humanitarian emergencies often have damaged or fragmented health systems and little to no capacity to test, isolate, and treat COVID-19 cases. Without a plan to address COVID-19 in humanitarian settings, host governments, aid agencies, and international organizations risk prolonging the spread of the virus across borders, threatening global health security, and devastating vulnerable populations. Stakeholders must coordinate a multifaceted response to address COVID-19 in humanitarian settings that incorporates appropriate communication of risks, sets forth resource-stratified guidelines for the use of limited testing, provides resources to treat affected patients, and engages displaced populations.
ABSTRACT
BACKGROUND: Most studies of readmission after trauma are limited to single institutions or single states. The purpose of this study was to determine the risk factors for readmission after trauma for mental illness including readmissions to different hospitals across the United States. MATERIALS AND METHODS: The Nationwide Readmission Database for 2013 and 2014 was queried for all patients aged 13 to 64 y with a nonelective admission for trauma and a nonelective readmission within 30 d. Multivariable logistic regression was performed for readmission for mental diseases and disorders. RESULTS: During the study period, 53,402 patients were readmitted within 30 d after trauma. The most common major diagnostic category on readmission was mental diseases and disorders (12.1%). The age group with the highest percentage of readmissions for mental diseases and disorders was 13 to 17 y (38%). On multivariable regression, the teenage group was also the most likely to be readmitted for mental diseases and disorders compared to 18-44 y (odds ratio [OR] 0.45, P < 0.01) and 45-64 y (OR 0.24, P < 0.01). Other high-risk comorbidities included HIV infection (OR 2.4, P < 0.01), psychosis (OR 2.2, P < 0.01), drug (OR 2.0, P < 0.01), and alcohol (OR 1.4, P < 0.01) abuse. CONCLUSIONS: Teenage trauma patients are at increased risk for hospital readmission for mental illness. Efforts to reduce these admissions should be targeted toward individuals with high-risk comorbidities such as HIV infection, psychosis, and substance abuse.
Subject(s)
HIV Infections/epidemiology , Mental Disorders/epidemiology , Patient Readmission/statistics & numerical data , Substance-Related Disorders/epidemiology , Wounds and Injuries/epidemiology , Adolescent , Adult , Age Factors , Comorbidity , Databases, Factual/statistics & numerical data , Female , Humans , Male , Mental Disorders/therapy , Middle Aged , Retrospective Studies , Risk Factors , United States/epidemiology , Wounds and Injuries/surgery , Young AdultABSTRACT
To help support implementation of aligning clinical redesign with payment reforms in practices and institutions throughout the country, we present two cases from Duke University Health System ("Duke") and University of Colorado Hospital ("Colorado"). The studies provide practical solutions for not only implementing clinical redesign, but also an understanding of how those clinical innovations can be aligned with alternative payment models. The cases will explore the following questions: What challenges or problems encouraged the organization to redesign CHF care? How did the organization select and then align care innovations with payment reforms, including bundled payments and shared savings? What did the organization identify as key success factors and/or challenges? How did these changes impact the organization׳s clinical outcomes or financial position? Finally, what lessons would the organization share with others attempting to implement similar strategies?