Literature DB >> 29392718

Simulation-based point-of-care ultrasound training: a matter of competency rather than volume.

J K Jensen1, L Dyre2,3, M E Jørgensen4, L A Andreasen2, M G Tolsgaard2,3.   

Abstract

BACKGROUND: Point-of-care ultrasonography plays an increasingly important role in the initial resuscitation of critically ill patients but acquisition of the skill is associated with long learning curves. The skills required to perform ultrasound examinations can be practiced in a simulated setting before being performed on actual patients. The aim of this study was to investigate the learning curves for novices training the FAST protocol on a virtual-reality simulator.
METHODS: Ultrasound novices (N = 25) were instructed to complete a FAST training program on a virtual-reality ultrasound simulator. Participants were instructed to continue training until they reached a previously established mastery learning level, which corresponds to the performance level of a group of ultrasound experts. Performance scores and time used during each FAST examination were used to determine participants' learning curves.
RESULTS: The participants attained the mastery learning level within a median of three (range two to four) attempts corresponding to a median of 1 h 46 min (range 1 h 2 min to 3 h 37 min) of simulation training. The ultrasound novices' examination speed improved significantly with training, and continued to improve even after they attained the mastery learning level (P = 0.011). Twenty-three participants attained the mastery learning level.
CONCLUSION: Novices can attain mastery learning levels using simulation-based ultrasound training with less than, on average, 2 h of practice. However, we found large variations in the amount of training needed, which raises questions about the adequacy of current volume-based models for determining ultrasound competency.
© 2018 The Acta Anaesthesiologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

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Year:  2018        PMID: 29392718     DOI: 10.1111/aas.13083

Source DB:  PubMed          Journal:  Acta Anaesthesiol Scand        ISSN: 0001-5172            Impact factor:   2.105


  8 in total

1.  Design of a point-of-care ultrasound curriculum for pediatric emergency medicine fellows: A Delphi study.

Authors:  Delia Gold; Marla Levine; Deborah Hsu; David P Way; Allan E Shefrin; Samuel H F Lam; Resa Lewiss; Jennifer R Marin
Journal:  AEM Educ Train       Date:  2021-08-01

2.  The Variable Journey in Learning to Interpret Pediatric Point-of-care Ultrasound Images: A Multicenter Prospective Cohort Study.

Authors:  Charisse Kwan; Martin Pusic; Martin Pecaric; Kirstin Weerdenburg; Mark Tessaro; Kathy Boutis
Journal:  AEM Educ Train       Date:  2019-07-30

3.  Kunafa knife and play dough is an efficient and cheap simulator to teach diagnostic Point-of-Care Ultrasound (POCUS).

Authors:  Fikri M Abu-Zidan; Arif Alper Cevik
Journal:  World J Emerg Surg       Date:  2019-01-08       Impact factor: 5.469

4.  Simulator-based ultrasound training for identification of endotracheal tube placement in a neonatal intensive care unit using point of care ultrasound.

Authors:  Khushboo Qaim Ali; Sajid Bashir Soofi; Ali Shabbir Hussain; Uzair Ansari; Shaun Morris; Mark Oliver Tessaro; Shabina Ariff; Hasan Merali
Journal:  BMC Med Educ       Date:  2020-11-07       Impact factor: 2.463

5.  Integration of Lung Point-of-care Ultrasound into Clinical Decision Making for Medical Students in Simulated Cases.

Authors:  Michelle Lum; Lauren Sheehy; Jason Lai; David Tillman; Sara Damewood; Jessica Schmidt
Journal:  West J Emerg Med       Date:  2020-12-14

6.  Can ultrasound novices develop image acquisition skills after reviewing online ultrasound modules?

Authors:  Elaine Situ-LaCasse; Josie Acuña; Dang Huynh; Richard Amini; Steven Irving; Kara Samsel; Asad E Patanwala; David E Biffar; Srikar Adhikari
Journal:  BMC Med Educ       Date:  2021-03-20       Impact factor: 2.463

7.  Virtual Reality in Medical Students' Education: Scoping Review.

Authors:  Haowen Jiang; Sunitha Vimalesvaran; Jeremy King Wang; Kee Boon Lim; Sreenivasulu Reddy Mogali; Lorainne Tudor Car
Journal:  JMIR Med Educ       Date:  2022-02-02

8.  A Systematic Review and Meta-analysis of the Use of High-Fidelity Simulation in Obstetric Ultrasound.

Authors:  Brian P Dromey; Donald M Peebles; Danail V Stoyanov
Journal:  Simul Healthc       Date:  2021-02-01       Impact factor: 2.690

  8 in total

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