Literature DB >> 21496145

Comparison of a multimedia simulator to a human model for teaching FAST exam image interpretation and image acquisition.

Sara Damewood1, Donald Jeanmonod, Beth Cadigan.   

Abstract

OBJECTIVES: This study compared the effectiveness of a multimedia ultrasound (US) simulator to normal human models during the practical portion of a course designed to teach the skills of both image acquisition and image interpretation for the Focused Assessment with Sonography for Trauma (FAST) exam.
METHODS: This was a prospective, blinded, controlled education study using medical students as an US-naïve population. After a standardized didactic lecture on the FAST exam, trainees were separated into two groups to practice image acquisition on either a multimedia simulator or a normal human model. Four outcome measures were then assessed: image interpretation of prerecorded FAST exams, adequacy of image acquisition on a standardized normal patient, perceived confidence of image adequacy, and time to image acquisition.
RESULTS: Ninety-two students were enrolled and separated into two groups, a multimedia simulator group (n = 44), and a human model group (n = 48). Bonferroni adjustment factor determined the level of significance to be p = 0.0125. There was no difference between those trained on the multimedia simulator and those trained on a human model in image interpretation (median 80 of 100 points, interquartile range [IQR] 71-87, vs. median 78, IQR 62-86; p = 0.16), image acquisition (median 18 of 24 points, IQR 12-18 points, vs. median 16, IQR 14-20; p = 0.95), trainee's confidence in obtaining images on a 1-10 visual analog scale (median 5, IQR 4.1-6.5, vs. median 5, IQR 3.7-6.0; p = 0.36), or time to acquire images (median 3.8 minutes, IQR 2.7-5.4 minutes, vs. median = 4.5 minutes, IQR = 3.4-5.9 minutes; p = 0.044).
CONCLUSIONS: There was no difference in teaching the skills of image acquisition and interpretation to novice FAST examiners using the multimedia simulator or normal human models. These data suggest that practical image acquisition skills learned during simulated training can be directly applied to human models.
© 2011 by the Society for Academic Emergency Medicine.

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Mesh:

Year:  2011        PMID: 21496145     DOI: 10.1111/j.1553-2712.2011.01037.x

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  7 in total

1.  Evaluation of Trainee Competency with Point-of-Care Ultrasonography (POCUS): a Conceptual Framework and Review of Existing Assessments.

Authors:  Andre Kumar; John Kugler; Trevor Jensen
Journal:  J Gen Intern Med       Date:  2019-06       Impact factor: 5.128

Review 2.  Focused Assessment Sonography for Trauma (FAST) training: a systematic review.

Authors:  Alshafi Mohammad; Ashraf F Hefny; Fikri M Abu-Zidan
Journal:  World J Surg       Date:  2014-05       Impact factor: 3.352

3.  Can You Teach Yourself Point-of-care Ultrasound to a Level of Clinical Competency? Evaluation of a Self-directed Simulation-based Training Program.

Authors:  Fraser D Mackay; Felix Zhou; David Lewis; Jacqueline Fraser; Paul R Atkinson
Journal:  Cureus       Date:  2018-09-17

4.  The integration of transabdominal ultrasound simulators into an ultrasound curriculum.

Authors:  K E Orr; S C Hamilton; R Clarke; M Y Adi; C Gutteridge; P Suresh; S J Freeman
Journal:  Ultrasound       Date:  2018-03-08

5.  Acquiring credentials in bedside ultrasound: a cross-sectional survey.

Authors:  Resa E Lewiss; Turandot Saul; Marina Del Rios
Journal:  BMJ Open       Date:  2013-08-30       Impact factor: 2.692

Review 6.  Focused assessment with sonography for trauma: current perspectives.

Authors:  Sorravit Savatmongkorngul; Sirote Wongwaisayawan; Rathachai Kaewlai
Journal:  Open Access Emerg Med       Date:  2017-07-26

7.  Are Live Ultrasound Models Replaceable? Traditional versus Simulated Education Module for FAST Exam.

Authors:  Suzanne Bentley; Gurpreet Mudan; Christopher Strother; Nelson Wong
Journal:  West J Emerg Med       Date:  2015-10-22
  7 in total

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