Purpose: Increasing pressure pushes towards the objective competence assessment of clinical operators. Hand motion analysis (HMA) was introduced to measure surgical and clinical procedures; its recent application to FAST examinations leaves unsolved issues. This study aimed at determining optimal HMA parameters to discriminate between operators’ skill levels, and which FAST tasks are experience-dependent. Methods: Ten experienced (EG) and 13 beginner (BG) sonographers performed a FAST examination on one female and one male model. A motion capture system returned the duration, working volume, number of movements (absolute and time normalized), and hand path length (absolute and time normalized) of each view. Results: BG took more time in completing specific views, with a higher working volume (p = 0.003) and longer hands path (p < 0.001). The number of movements was lower in the EG (p < 0.001) and differed between views (p = 0.014). No significant Group/Model differences were found for the normalized number of movements. The LUQ view required a higher number of movements (p < 0.001). Conclusions: HMA identified kinematic parameters discriminating between proficiency level and critical subtasks in the FAST examination. These findings could be the base for a focused HMA-based evaluation of performances following a proctored training period. There is room to incorporate HMA into simulation metrics and evidence-based credentialing standards for clinical ultrasound applications.
Educational impact of hand motion analysis in the evaluation of FAST examination skills / M. Zago, C. Sforza, D. Mariani, M. Marconi, A. Biloslavo, A. La Greca, H. Kurihara, A. Casamassima, S. Bozzo, F. Caputo, M. Galli, M. Zago. - In: EUROPEAN JOURNAL OF TRAUMA AND EMERGENCY SURGERY. - ISSN 1863-9933. - 46(2020 Dec), pp. 1421-1428.
|Titolo:||Educational impact of hand motion analysis in the evaluation of FAST examination skills|
SFORZA, CHIARELLA (Secondo)
ZAGO, MATTEO (Ultimo) (Corresponding)
|Parole Chiave:||Competence; FAST; Initial assessment; Management; Skill assessment; Ultrasound|
|Settore Scientifico Disciplinare:||Settore BIO/16 - Anatomia Umana|
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
|Data di pubblicazione:||dic-2020|
|Data ahead of print / Data di stampa:||15-mar-2019|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/s00068-019-01112-6|
|Appare nelle tipologie:||01 - Articolo su periodico|
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