Literature DB >> 30639073

Performance of an Interactive Upper Extremity Peripheral Nerve Training Module Among Medical Students, Radiology Residents, and Fellows: A Multi-institutional Study.

Adam Daniel Singer1, Yara Younan2, Vandad Saadat3, Monica Umpierrez2, Vita Kesner4, Nicholas Boulis5, Felix Gonzalez2, Ty K Subhawong3.   

Abstract

BACKGROUND AND
PURPOSE: Chronic pain is a common problem and imaging is becoming increasingly utilized in the characterization of peripheral neuropathy, although this topic is not emphasized during medical training. We hypothesized that an electronic module and nerve atlas would be effective in improving comprehension among trainees.
MATERIALS AND METHODS: In this IRB-approved study, a training module was created that included a side-by-side comparison of normal upper extremity nerves on magnetic resonance imaging and ultrasound (US), with embedded questions and cases, followed by a brief hands-on US scanning session. Thirty volunteers with variable training were enrolled in 1 institution, while 14 volunteers were enrolled in another. Pre- and post-test scores were collected and compared.
RESULTS: There was a response rate of 100% at both institutions. At the first institution, subjects were divided into 2 groups: group 1 (16 medical students) and group 2 (14 residents/fellows). There was a baseline deficit of knowledge among both groups, with a mean pretest score of 37.5% and 47.5% for group 1 and group 2, respectively (P = 0.017). After module completion, both groups improved with a mean post-test score of 67.2% for group 1 and 76.1% for group 2. At the second institution, there was similar improvement even if the scanning session was not done.
CONCLUSIONS: Use of an electronic module helps trainees to become more familiar with peripheral nerve imaging, regardless of level of training. Use of the module, even in the absence of hands-on US scanning, results in an improved understanding of this topic.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 30639073     DOI: 10.1067/j.cpradiol.2018.12.011

Source DB:  PubMed          Journal:  Curr Probl Diagn Radiol        ISSN: 0363-0188


  1 in total

1.  Confidence Level and Ability of Medical Students to Identify Abdominal Structures After Integrated Ultrasound Sessions.

Authors:  Fauzia Nausheen; Corey Young; John Brazil; Timothy Dunagan; Renu Bhupathy; Sambandam Elango; Jason Crowley
Journal:  Ultrasound Int Open       Date:  2020-07-22
  1 in total

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