OBJECTIVES
The main objective of this study was to implement an online pediatric case‐based POCUS course in low‐resource medical settings and examine learning outcomes and feasibility.
METHODS
This was a multicenter prospective cohort study conducted in a convenience sample of clinicians affiliated with Médecins Sans Frontières (MSF) training sites. MSF POCUS trainers provided the standard hands‐on, on‐site POCUS training and supplemented this with access to a web‐based course. Participants provided diagnoses for 400 image‐based POCUS cases from four common pediatric POCUS applications until they achieved the mastery learning standard of 90% accuracy, sensitivity (cases with pathology), and specificity (cases without pathology). Each participant also completed a course evaluation.
RESULTS
From 10 MSF sites, 110 clinicians completed 82,206 cases. There were significant learning gains across the POCUS applications with respect to accuracy (delta 14.2%; 95% CI 13.1, 15.2), sensitivity (delta 13.2%; 95% CI 12.1, 14.2), and specificity (delta 13.8%; 95% CI 12.7, 15.0). Furthermore, 90 (81.8%) achieved the mastery learning standard in at least one application, and 69 (62.7%) completed a course evaluation on at least one application for a total of 231 evaluations. Of these, 206 (89.2%) agreed/strongly agreed that the experience had relevance to their practice, met expectations, and had a positive user design. However, 59/110 (53.6%) clinicians reported a lack of protected time, and 54/110 (49.0%) identified challenges with accessing internet/hardware.
CONCLUSIONS
In resource‐limited MSF settings, implementing web‐based POCUS case practice demonstrated successful learning outcomes despite approximately half of the participants encountering significant technical challenges.
During the COVID-19 pandemic and the burden on hospital resources, the rapid categorization of high-risk COVID-19 patients became essential, and lung ultrasound (LUS) emerged as an alternative to chest computed tomography, offering speed, non-ionizing, repeatable, and bedside assessments. Various LUS score systems have been used, yet there is no consensus on an optimal severity cut-off. We assessed the performance of a 12-zone LUS score to identify adult COVID-19 patients with severe lung involvement using oxygen saturation (SpO2)/fractional inspired oxygen (FiO2) ratio as a reference standard to define the best cut-off for predicting adverse outcomes.
METHODS
We conducted a single-centre prospective study (August 2020–April 2021) at Hospital del Mar, Barcelona, Spain. Upon admission to the general ward or intensive care unit (ICU), clinicians performed LUS in adult patients with confirmed COVID-19 pneumonia. Severe lung involvement was defined as a SpO2/FiO2 ratio <315. The LUS score ranged from 0 to 36 based on the aeration patterns. Results: 248 patients were included. The admission LUS score showed moderate performance in identifying a SpO2/FiO2 ratio <315 (area under the ROC curve: 0.71; 95%CI 0.64–0.77). After adjustment for COVID-19 risk factors, an admission LUS score ≥17 was associated with an increased risk of in-hospital death (OR 5.31; 95%CI: 1.38–20.4), ICU admission (OR 3.50; 95%CI: 1.37–8.94) and need for IMV (OR 3.31; 95%CI: 1.19–9.13).
CONCLUSIONS
Although the admission LUS score had limited performance in identifying severe lung involvement, a cut-off ≥17 score was associated with an increased risk of adverse outcomes. and could play a role in the rapid categorization of COVID-19 pneumonia patients, anticipating the need for advanced care.
Methods: Previously ultrasound naïve, remotely placed clinical teams received ultrasound training on focussed image acquisition. The Médecins Sans Frontières Telemedicine platform was utilised for remote case and imaging review to diagnose congenital and acquired heart disease and guide management supported by a remotely situated paediatric cardiologist.
Results: Two-hundred thirty-three cases were reviewed between 2016 and 2018. Of 191 who underwent focussed cardiac ultrasound, diagnoses included atrial and ventricular septal defects 11%, atrioventricular septal defects 7%, Tetralogy of Fallot 9%, cardiomyopathy/myocarditis 8%, rheumatic heart disease 8%, isolated pericardiac effusion 6%, complex congenital heart disease 4% and multiple other diagnoses in 15%. In 17%, there was no identifiable abnormality while 15% had inadequate imaging to make a diagnosis. Cardiologist involvement led to management changes in 75% of cases with a diagnosis. Mortality in the entire group was disproportionately higher among neonates (38%, 11/29) and infants (20%, 16/81). There was good agreement on independent review of selected cases between two independent paediatric cardiologists.
Conclusion: Cardiac point of care ultrasound performed by remote clinical teams facilitated diagnosis and influenced management in cases reviewed over a Telemedicine platform. This is a feasible method to support clinical care in resource limited settings.