Engagement and Bundle Compliance during COVID-19: A Virtual Strategy.

COVID-19 forced industries to change work processes; this was no different for those working to improve patient outcomes in healthcare. Due to competing priorities, many hospitals struggled with the upkeep of hospital-acquired condition (HAC) auditing and engagement. Children's National hospital developed a three-pronged approach for virtual engagement and sustainment of the processes necessary to achieve and maintain goal auditing and bundle compliance in three HACs: unplanned extubation, central line-associated bloodstream infections, and employee staff safety overexertion injuries. Methods: The overall goal was to create a flexible approach to maintaining engagement while relying on virtual communication. Aim: To maintain, without a decrease of more than 20%, the baseline bundle compliance per month for each HAC (unplanned extubation, central line-associated bloodstream infections, and employee staff safety) from March 2020 to March 2021. Our approach to increasing bundle compliance (primary outcome measure) and audits (process measure) included: regular leadership meetings using multiple virtual modalities, improving the audit process, and ensuring fidelity to bundle elements. Results: Qualitatively, we have found that microsystem leaders regularly engage with quality improvement staff and their teams using virtual touchpoints and ongoing communication. We exceeded the goal of maintaining our monthly bundle compliance, and we saw a significant positive change in the rate of audits after COVID-19. Conclusions: In a time of change during a pandemic, increased engagement in HAC work can adapt structure and processes. Our results are generalizable by increasing touchpoints using multiple virtual modalities.

A Customized Triggers Program: A Children's Hospital's Experience in Improving Trigger Usability.

BACKGROUND: Despite the growth of patient safety programs across the United States, errors and adverse events remain a source of patient harm. Many hospitals rely on retrospective voluntary reporting systems; however, there are opportunities to improve patient safety using novel tools like trigger programs. METHODS: Children's National Hospital developed a unique pediatric triggers program that offers customized, near real-time reports of potential safety events. Our team defined a measure to quantify clinical utility of triggers, termed "trigger signal," as the percentage of cases that represent true adverse or near-miss events (numerator) per total triggers activated (denominator). Our key driver diagram focused on unifying the program structure, increasing data analytics, promoting organizational awareness, and supporting multidisciplinary end user engagement. Using the model for improvement, we aimed to double overall trigger signal from 8% to 16% and sustain for 12 months. RESULTS: The trigger signal increased from 8% to 41% and sustained during the coronavirus disease 2019 pandemic. A balancing measure of time to implement a new trigger decreased. Key interventions to increase trigger signal were change in the program structure, increasing stakeholder engagement, and development of self-service reports for end users. CONCLUSIONS: Children's National Hospital's triggers program highlights successful evolution of an iterative, customized approach to increase clinical utility that hospitals can implement to impact real-time patient care. This triggers program requires an iterative, customized approach rather than a "1-size-fits-all," static paradigm to add a new dimension to current patient safety programs.

Misdiagnoses in the Context of Suspected Pandemic Influenza or Coronavirus Disease 2019: A Systematic Review.

There have been numerous reports of patients initially misdiagnosed in the 2009 H1N1 influenza and coronavirus disease 2019 (COVID-19) pandemics within the literature. A systematic review was undertaken to collate misdiagnoses during the H1N1 and COVID-19 pandemics and identify which cognitive biases may contribute to this. MEDLINE, Embase, Cochrane and MedRxiv databases were searched for misdiagnoses or cognitive biases resulting in misdiagnosis, occurring during the H1N1 or COVID-19 virus pandemics. Eligible studies were assessed for quality using JBI criteria; primary outcome was the final diagnosis. Sixty-nine studies involving 2551 participants were included. We identified 686 cases of misdiagnosis, categorized as viral respiratory infection, other respiratory infection, non-respiratory infection, and non-infective. Misdiagnoses are listed and relevant investigations are offered. No article described prospective assessment of decision making in the pandemic setting or debiasing diagnostic thinking. Further research is required to understand why misdiagnoses occur and harm arises and how clinicians can be assisted in their decision making in a pandemic context.

COVID-19 Patient Vaccine Program Design and Implementation: An Academic Children's Hospital's Model, Approach, and Outcomes.

To slow the spread of the 2019 novel coronavirus disease (COVID-19) and reduce the associated morbidity and mortality, the Children's National Hospital developed a multidisciplinary, collaborative vaccine program aimed at equitably and expeditiously vaccinating the pediatric population of the surrounding community. Interdepartmental collaboration, professional expertise, and community partnerships allowed for a dynamic and successful program design that began as large volume-centralized vaccine clinics and expanded to smaller volume ambulatory clinics. This strategy proved successful at meeting local vaccine demand; however, strategies to improve vaccine uptake in communities with high rates of hesitancy are still needed to maximize vaccine equity.

Common seasonal respiratory viral infections in children before and during the coronavirus disease 2019 (COVID-19) pandemic.

OBJECTIVES: To describe the incidence of seasonal respiratory viral infections (s-RVIs) before and during the coronavirus disease 2019 (COVID-19) pandemic and to compare virus-specific patient outcomes in pediatric patients. DESIGN: A retrospective cross-sectional study including patient admissions to the Children's National Hospital between October 1, 2015, and December 31, 2020. RESULTS: Among 12,451 patient admissions between March 15 and December 31, 2020 (cohort 1), 8,162 (66%) were tested for severe acute respiratory coronavirus virus 2 (SARS-CoV-2), and 249 (2.0%) were positive. Among 10,986 patient admissions between April 1 and December 31, 2020 (cohort 2), 844 (8%) were tested for s-RV upon admission and 160 were positive. Thus, 1.5% of patient admissions were associated with laboratory-confirmed s-RVIs. Among the 49,901 patient admissions during a viral season between October 1, 2015, and March 31, 2020 (cohort 3), 7,539 (15%) were tested for s-RV upon admission and 4,531 were positive; thus, 9.0% of patient admissions were associated with laboratory-confirmed s-RVIs. hHRV/rENT was the most detected virus, but the detection rate decreased substantially (31% vs 18%; P < .001) during the COVID-19 pandemic. No patients had RSV, influenza, hMPV, hPIV, or hCoV detected upon admission after April 21, 2020. The 3 patient cohorts had no statistically significant difference in the percentage of ICU admissions (10.8% vs 15.0% vs 14.2%; P > .05) or death at discharge (0.8% vs 0.6% vs 0.5%; P > .05). CONCLUSIONS: Compared to COVID-19, s-RVI cases were associated with a higher proportion of inpatient admissions but were similar in ICU admission and death rates in hospitalized pediatric patients. Public health interventions for preventing COVID-19 were highly effective in preventing pediatrics s-RVIs.

Feasibility of an EUS e-training course with live cases.

Background and study aims One-on-one endoscopic ultrasound (EUS) mentorship was not possible at most institutions during the COVID-19 pandemic. We decided to test the feasibility of structured training in EUS with virtual e-classes with live cases. The aim of this study was to assess the feasibility of a virtual EUS training course with objective end points. Patients and methods Twenty-one trainees were trained on a virtual platform over 16 classes of 90 minutes each, over 3 months. The virtual training screen had two equal parts, one showing the endoscopist's hand movements, and another the resultant EUS display. The course curriculum included EUS anatomy of the mediastinum, pancreatico-biliary region and rectum. The assessment was done on videos of procedures performed by trainees. Results Twenty trainees performed 251 EUS procedures (range 8-25, mean 12.5 ±â€Š4.9) at their institutions. At the end of the course, all students (100 %) could maneuver the echo-endoscope through to the duodenum. Fifteen trainees sent a video for final assessment. The successful specified area identification rates were 12 of 15 (80 %) for the subcarinal space, 10 of15 (66.6 %) for the head of the pancreas, 10 of 15 (66.6 %) for the common bile duct, and nine of 15 (60 %) for the tail of pancreas. The success rate of ability to get appropriate windows was 10 of 15 (67 %) for the subcarinal space, eight of 15 (53.3 %) for the head of the pancreas, seven of 15 (46.6 %) for the common bile duct and six of 15 (40 %) for the tail of pancreas. No adverse events were reported. Conclusions A virtual EUS training course with live cases appears feasible. It allows the possibility of training a large number of students. Further evaluation is needed, especially of virtual assessment methods and training benchmarks.

The impact of long-term opioid use on the risk and severity of COVID-19.

Based on evidence of the immunosuppressive effects of chronic opioids, long-term users of prescription and illicit opioids comprise an unrecognized but growing population of Americans with compromised immune function and respiratory depression who may be at high risk of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease 19 (COVID-19)-related hospitalization, prolonged ICU stay, adverse events, and death. This perspective is of broad clinical and public health importance because the US has the highest population of long-term users of prescription opioids, a sequel of a decade-long practice of opioid overprescribing in the US. For long-term opioid users who are hospitalized for COVID-19, clinicians face clinical challenges arising from the suppressive effects of opioids on the respiratory and immune functions, as well as the potential for adverse drug-drug interaction when opioids have to be continued in long-term users. More research is needed to further understand the association of long-term opioid use and susceptibility to COVID-19 and other emerging infections.

Comparison of Clinical Features of COVID-19 vs Seasonal Influenza A and B in US Children.

Importance: Compared with seasonal influenza, the clinical features and epidemiologic characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus 2019 (COVID-19) in US children remain largely unknown. Objective: To describe the similarities and differences in clinical features between COVID-19 and seasonal influenza in US children. Design, Setting, and Participants: This retrospective cohort study included children who were diagnosed with laboratory-confirmed COVID-19 between March 25 and May 15, 2020, and children diagnosed with seasonal influenza between October 1, 2019, and June 6, 2020, at Children's National Hospital in the District of Columbia. Exposures: COVID-19 or influenza A or B. Main Outcomes and Measures: Rates of hospitalization, admission to the intensive care unit, and mechanical ventilator use and the association between underlying medical conditions, clinical symptoms, and COVID-19 vs seasonal influenza. Results: The study included 315 patients diagnosed with COVID-19 (164 [52%] male; median age, 8.3 years [range, 0.03-35.6 years]) and 1402 patients diagnosed with seasonal influenza (743 [53%] male; median age, 3.9 years [range, 0.04-40.4 years]). Patients with COVID-19 and those with seasonal influenza had a similar hospitalization rate (54 [17%] vs 291 [21%], P = .15), intensive care unit admission rate (18 [6%] vs 98 [7%], P = .42), and use of mechanical ventilators (10 [3%] vs 27 [2%], P = .17). More patients hospitalized with COVID-19 than with seasonal influenza reported fever (41 [76%] vs 159 [55%], P = .005), diarrhea or vomiting (14 [26%] vs 36 [12%], P = .01), headache (6 [11%] vs 9 [3%], P = .01), body ache or myalgia (12 [22%] vs 20 [7%], P = .001), and chest pain (6 [11%] vs 9 [3%], P = .01). Differences between patients hospitalized with COVID-19 vs influenza who reported cough (24 [48%] vs 90 [31%], P = .05) and shortness of breath (16 [30%] vs 59 [20%], P = .13) were not statistically significant. Conclusions and Relevance: In this cohort study of US children with COVID-19 or seasonal influenza, there was no difference in hospitalization rates, intensive care unit admission rates, and mechanical ventilator use between the 2 groups. More patients hospitalized with COVID-19 than with seasonal influenza reported clinical symptoms at the time of diagnosis.