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Face and Construct Validation of a Virtual Peg Transfer Simulator

Identifieur interne : 002443 ( Main/Merge ); précédent : 002442; suivant : 002444

Face and Construct Validation of a Virtual Peg Transfer Simulator

Auteurs : Venkata S. Arikatla ; Ganesh Sankaranarayanan ; Woojin Ahn ; Amine Chellali ; Suvranu De ; Gl Caroline ; John Hwabejire ; Marc Demoya ; Steven Schwaitzberg ; Daniel B. Jones

Source :

RBID : PMC:3625247

Abstract

Background

The Fundamentals of Laparascopic Surgery (FLS) trainer box is now established as a standard for evaluating minimally invasive surgical skills. A particularly simple task in this trainer box is the peg transfer task which is aimed at testing the surgeon’s bimanual dexterity, hand-eye coordination, speed and precision. The Virtual Basic Laparoscopic Skill Trainer (VBLaST©) is a virtual version of the FLS tasks which allows automatic scoring and real time, subjective quantification of performance without the need of a human proctor. In this paper we report validation studies of the VBLaST© peg transfer (VBLaST-PT©) simulator.

Methods

Thirty-five subjects with medical background were divided into two groups: experts (PGY 4-5, fellows and practicing surgeons) and novices (PGY 1-3). The subjects were asked to perform the peg transfer task on both the FLS trainer box and the VBLaST-PT© simulator and their performance was evaluated based on established metrics of error and time. A new length of trajectory (LOT) metric has also been introduced for offline analysis. A questionnaire was used to rate the realism of the virtual system on a 5-point Likert scale.

Results

Preliminary face validation of the VBLaST-PT© with 34 subjects rated on a 5-point Likert scale questionnaire revealed high scores for all aspects of simulation, with 3.53 being the lowest mean score across all questions. A two-tailed Mann-Whitney performed on the total scores showed significant (p=0.001) difference between the groups. A similar test performed on the task time (p=0.002) and the length of trajectory (p=0.004) separately showed statistically significant differences between the experts and novice groups (p<0.05). The experts appear to be traversing shorter overall trajectories in less time than the novices.

Conclusion

VBLaST-PT© showed both face and construct validity and has promise as a substitute for the FLS to training peg transfer skills.


Url:
DOI: 10.1007/s00464-012-2664-y
PubMed: 23263645
PubMed Central: 3625247

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PMC:3625247

Le document en format XML

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<title>Background</title>
<p id="P1">The Fundamentals of Laparascopic Surgery (FLS) trainer box is now established as a standard for evaluating minimally invasive surgical skills. A particularly simple task in this trainer box is the peg transfer task which is aimed at testing the surgeon’s bimanual dexterity, hand-eye coordination, speed and precision. The Virtual Basic Laparoscopic Skill Trainer (VBLaST
<sup>©</sup>
) is a virtual version of the FLS tasks which allows automatic scoring and real time, subjective quantification of performance without the need of a human proctor. In this paper we report validation studies of the VBLaST
<sup>©</sup>
peg transfer (VBLaST-PT
<sup>©</sup>
) simulator.</p>
</sec>
<sec id="S2">
<title>Methods</title>
<p id="P2">Thirty-five subjects with medical background were divided into two groups: experts (PGY 4-5, fellows and practicing surgeons) and novices (PGY 1-3). The subjects were asked to perform the peg transfer task on both the FLS trainer box and the VBLaST-PT
<sup>©</sup>
simulator and their performance was evaluated based on established metrics of error and time. A new length of trajectory (LOT) metric has also been introduced for offline analysis. A questionnaire was used to rate the realism of the virtual system on a 5-point Likert scale.</p>
</sec>
<sec id="S3">
<title>Results</title>
<p id="P3">Preliminary face validation of the VBLaST-PT
<sup>©</sup>
with 34 subjects rated on a 5-point Likert scale questionnaire revealed high scores for all aspects of simulation, with 3.53 being the lowest mean score across all questions. A two-tailed Mann-Whitney performed on the total scores showed significant (p=0.001) difference between the groups. A similar test performed on the task time (p=0.002) and the length of trajectory (p=0.004) separately showed statistically significant differences between the experts and novice groups (p<0.05). The experts appear to be traversing shorter overall trajectories in less time than the novices.</p>
</sec>
<sec id="S4">
<title>Conclusion</title>
<p id="P4">VBLaST-PT© showed both face and construct validity and has promise as a substitute for the FLS to training peg transfer skills.</p>
</sec>
</div>
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