Evidence map›Paper›PMID 30877314›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2020

Educational impact of hand motion analysis in the evaluation of FAST examination skills.

Mauro Zago, Chiarella Sforza, Diego Mariani, Matteo Marconi, Alan Biloslavo, Antonio La Greca, Hayato Kurihara, Andrea Casamassima, Samantha Bozzo, Francesco Caputo and 2 more

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Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Differentiating Operator Skill during Routine Fetal Ultrasound Scanning using Probe Motion Tracking.Medical ultrasound, and preterm, perinatal and paediatric image analysis · 2020
    Article
  7. Reply to: Wanted: Automated objective proficiency assessment metrics for the FAST exam (and other POCUS studies).European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2019
    Article
  8. Wanted: automated objective proficiency assessment metrics for the FAST exam (and other POCUS studies).European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2019
    Article
  9. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Mauro ZagoDepartment of Surgery, Minimally Invasive Surgery Unit, Policlinico San Pietro, Via Forlanini 15, Ponte San Pietro, 24036, Bergamo, Italy.ORCID http://orcid.org/0000-0001-9322-0798
Chiarella SforzaDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, via Mangiagalli 31, 20133, Milan, Italy.ORCID http://orcid.org/0000-0001-6532-6464
Diego MarianiGeneral Surgery Department, Legnano Hospital, ASST Ovest Milanese, Legnano, MI, Italy.
Matteo MarconiGeneral Surgery Department, S. Maria delle Stelle Hospital, ASST Melegnano e Martesana, Melzo, Milan, Italy.
Alan BiloslavoGeneral Surgery Department, Cattinara University Hospital, Trieste, Italy.
Antonio La GrecaDepartment of Surgery, Emergency Surgery Unit, Policlinico Gemelli, Catholic University of the Sacred Heart, Rome, Italy.
Hayato KuriharaEmergency and Trauma Surgery Unit, Humanitas Research Hospital, Via Manzoni, 35, 20090, Rozzano, MI, Italy.
Andrea CasamassimaGeneral Surgery Department, S. Maria delle Stelle Hospital, ASST Melegnano e Martesana Melzo, Cernusco sul Naviglio, MI, Italy.
Samantha BozzoDepartment of Surgery, Minimally Invasive Surgery Unit, Policlinico San Pietro, Via Forlanini 15, Ponte San Pietro, 24036, Bergamo, Italy.
Francesco CaputoDepartment of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy.
Manuela GalliDepartment of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy.ORCID http://orcid.org/0000-0003-2772-4837
Matteo ZagoDepartment of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy. matteo2.zago@polimi.it.ORCID http://orcid.org/0000-0002-0649-3665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIncreasing 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.

methodsTen 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.

resultsBG 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).

conclusionsHMA 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.

Indexed as

Clinical CompetenceTask Performance and AnalysisAdultEducational MeasurementEmergency MedicineFemaleHandHumansMaleMovementPatient SimulationUltrasonographyCompetenceFASTInitial assessmentManagementSkill assessmentUltrasound

Identifiers

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.