Clinical Trial: Telesonography for Visually Estimating Ejection Fraction

Study Status: Recruiting
Recruit Status: Recruiting
Study Type: Observational [Patient Registry]




Official Title: Can Offsite Expert Accurately Estimate the Ejection Fraction by Watching and Instructing the Onsite Novice Sonographer's Practice Via the Social Network System?

Brief Summary:

Background: Given that an experienced physician is not always available 24 hours a day, immediately and always available echocardiography is usually impossible in the emergency department (ED) and intensive care unit (ICU). To compensate this limitation, the investigators have investigated that offsite expert guided, inexperienced practitioner-performed ultrasonography could be effectively performed. In this study, the investigators aimed to investigate whether the offsite expert can effectively evaluate the visually estimated ejection fraction (EF) while watching and guiding the echocardiographic procedure of onsite novice examiner using the social network video calling chat.

Methods: sixty patients presenting to the ICU and requiring echocardiography will be included. Sixty novice practitioners without any previous experience of echocardiography will participate. Prior to their procedure, the onsite expert complete the echocardiography in advance and determine the EF using the modified Simpson's method (MSM, Reference value). Then, the novice physicians perform the echocardiography again with the offsite expert's guidance via video call. They obtain parasternal long and short axis view and EF is visually estimated to the nearest 5% (ex. 40%, 45% and etc) by the offsite expert while watching the ultrasound video on the smartphone display. The subjects requiring immediate management due to severe symptoms were excluded in this study. Interobserver variability between the calculated by onsite expert and visually estimated by offsite expert was assessed. The agreement of the visual estimated EF obtained by onsite expert and offsite expert via smartphone was evaluated by linear regression and Bland-Altman plots.