Telesonography for Visually Estimating Ejection Fraction
NCT ID: NCT02960685
Last Updated: 2016-11-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
60 participants
OBSERVATIONAL
2016-11-30
Brief Summary
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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.
Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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Echocardiography
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Patients requiring immediate management
18 Years
ALL
Yes
Sponsors
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Hanyang University
OTHER
Responsible Party
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Changsun Kim
Assistant professor
Principal Investigators
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Jeong-hun Shin, PhD
Role: PRINCIPAL_INVESTIGATOR
Hanyang University
Locations
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Hanyang university guri hospital, Department of emergency medicine
Guri-si, GyeongGido, South Korea
Countries
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Central Contacts
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Facility Contacts
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Kim
Role: primary
References
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Choi HJ, Lee JH, Kang BS. Remote CT reading using an ultramobile PC and web-based remote viewing over a wireless network. J Telemed Telecare. 2012 Jan;18(1):26-31. doi: 10.1258/jtt.2011.110412. Epub 2011 Nov 8.
Kim C, Kang B, Choi HJ, Park JB. A Feasibility Study of Real-Time Remote CT Reading for Suspected Acute Appendicitis Using an iPhone. J Digit Imaging. 2015 Aug;28(4):399-406. doi: 10.1007/s10278-015-9775-7.
Ogedegbe C, Morchel H, Hazelwood V, Chaplin WF, Feldman J. Development and evaluation of a novel, real time mobile telesonography system in management of patients with abdominal trauma: study protocol. BMC Emerg Med. 2012 Dec 18;12:19. doi: 10.1186/1471-227X-12-19.
McBeth P, Crawford I, Tiruta C, Xiao Z, Zhu GQ, Shuster M, Sewell L, Panebianco N, Lautner D, Nicolaou S, Ball CG, Blaivas M, Dente CJ, Wyrzykowski AD, Kirkpatrick AW. Help is in your pocket: the potential accuracy of smartphone- and laptop-based remotely guided resuscitative telesonography. Telemed J E Health. 2013 Dec;19(12):924-30. doi: 10.1089/tmj.2013.0034. Epub 2013 Oct 19.
Kim C, Hur J, Kang BS, Choi HJ, Shin JH, Kim TH, Chung JH. Can an Offsite Expert Remotely Evaluate the Visual Estimation of Ejection Fraction via a Social Network Video Call? J Digit Imaging. 2017 Dec;30(6):718-725. doi: 10.1007/s10278-017-9974-5.
Other Identifiers
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TELESONOEF2016
Identifier Type: -
Identifier Source: org_study_id