Bedside echo for chest pain: an algorithm for education and assessment
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AMEP-103083-bedside-echo-for-c ...
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Author
Amini, RichardStolz, Lori
Kartchner, Jeffrey
Thompson, Matthew
Stea, Nicolas
Joshi, Raj
Adhikari, Srikar
Hawbaker, Nicolaus
Affiliation
Univ Arizona, Med Ctr, Dept Emergency MedIssue Date
2016-05
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DOVE MEDICAL PRESS LTDCitation
Bedside echo for chest pain: an algorithm for education and assessment 2016:293 Advances in Medical Education and PracticeRights
© 2016 Amini et al. This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Background: Goal-directed ultrasound protocols have been developed to facilitate efficiency, throughput, and patient care. Hands-on instruction and training workshops have been shown to positively impact ultrasound training. Objectives: We describe a novel undifferentiated chest pain goal-directed ultrasound algorithm-focused education workshop for the purpose of enhancing emergency medicine resident training in ultrasound milestones competencies. Methods: This was a cross-sectional study performed at an academic medical center. A novel goal-directed ultrasound algorithm was developed and implemented as a model for teaching and learning the sonographic approach to a patient with undifferentiated chest pain. This algorithm was incorporated into all components of the 1-day workshop: asynchronous learning, didactic lecture, case-based learning, and hands-on stations. Performance comparisons were made between postgraduate year (PGY) levels. Results: A total of 38 of the 40 (95%) residents who attended the event participated in the chest pain objective standardized clinical exam, and 26 of the 40 (65%) completed the entire questionnaire. The average number of ultrasounds performed by resident class year at the time of our study was as follows: 19 (standard deviation [SD]=19) PGY-1, 238 (SD=37) PGY-2, and 289 (SD=73) PGY-3. Performance on the knowledge-based questions improved between PGY-1 and PGY-3. The application of the novel algorithm was noted to be more prevalent among the PGY-1 class. Conclusion: The 1-day algorithm-based ultrasound educational workshop was an engaging learning technique at our institution.ISSN
1179-7258Version
Final published versionAdditional Links
https://www.dovepress.com/bedside-echo-for-chest-pain-an-algorithm-for-education-and-assessment-peer-reviewed-article-AMEPae974a485f413a2113503eed53cd6c53
10.2147/AMEP.S103083
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Except where otherwise noted, this item's license is described as © 2016 Amini et al. This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/).