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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 u...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881926/ https://www.ncbi.nlm.nih.gov/pubmed/27284269 http://dx.doi.org/10.2147/AMEP.S103083 |
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author | Amini, Richard Stolz, Lori A Kartchner, Jeffrey Z Thompson, Matthew Stea, Nicholas Hawbaker, Nicolaus Joshi, Raj Adhikari, Srikar |
author_facet | Amini, Richard Stolz, Lori A Kartchner, Jeffrey Z Thompson, Matthew Stea, Nicholas Hawbaker, Nicolaus Joshi, Raj Adhikari, Srikar |
author_sort | Amini, Richard |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4881926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-48819262016-06-09 Bedside echo for chest pain: an algorithm for education and assessment Amini, Richard Stolz, Lori A Kartchner, Jeffrey Z Thompson, Matthew Stea, Nicholas Hawbaker, Nicolaus Joshi, Raj Adhikari, Srikar Adv Med Educ Pract Original Research 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. Dove Medical Press 2016-05-21 /pmc/articles/PMC4881926/ /pubmed/27284269 http://dx.doi.org/10.2147/AMEP.S103083 Text en © 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/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Amini, Richard Stolz, Lori A Kartchner, Jeffrey Z Thompson, Matthew Stea, Nicholas Hawbaker, Nicolaus Joshi, Raj Adhikari, Srikar Bedside echo for chest pain: an algorithm for education and assessment |
title | Bedside echo for chest pain: an algorithm for education and assessment |
title_full | Bedside echo for chest pain: an algorithm for education and assessment |
title_fullStr | Bedside echo for chest pain: an algorithm for education and assessment |
title_full_unstemmed | Bedside echo for chest pain: an algorithm for education and assessment |
title_short | Bedside echo for chest pain: an algorithm for education and assessment |
title_sort | bedside echo for chest pain: an algorithm for education and assessment |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881926/ https://www.ncbi.nlm.nih.gov/pubmed/27284269 http://dx.doi.org/10.2147/AMEP.S103083 |
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