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Bedside echo for chest pain: an algorithm for education and assessment

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.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/614977
Date05 1900
CreatorsAmini, Richard, Stolz, Lori, Kartchner, Jeffrey, Thompson, Matthew, Stea, Nicolas, Joshi, Raj, Adhikari, Srikar, Hawbaker, Nicolaus
ContributorsUniv Arizona, Med Ctr, Dept Emergency Med
PublisherDOVE MEDICAL PRESS LTD
Source SetsUniversity of Arizona
LanguageEnglish
Detected LanguageEnglish
TypeArticle
Rights© 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/).
Relationhttps://www.dovepress.com/bedside-echo-for-chest-pain-an-algorithm-for-education-and-assessment-peer-reviewed-article-AMEP

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