2004
DOI: 10.1007/s00464-004-8202-9
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Construct validity for the LAPSIM laparoscopic surgical simulator

Abstract: LAPSIM has construct validity to distinguish between expert and novice laparoscopists. Suture simulation can be used to discriminate between individuals at different levels of residency and expert surgeons.

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Cited by 136 publications
(102 citation statements)
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“…In practice, this is often established by measuring a logical difference in outcome between research populations with different levels of experience on a specific task of interest. Multiple studies have been conducted to validate different virtual reality systems as tools for training surgeons in endoscopic surgery skills [3,4,6,10,[13][14][15][16][17]. These studies demonstrated construct validity for these systems.…”
Section: Discussionmentioning
confidence: 99%
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“…In practice, this is often established by measuring a logical difference in outcome between research populations with different levels of experience on a specific task of interest. Multiple studies have been conducted to validate different virtual reality systems as tools for training surgeons in endoscopic surgery skills [3,4,6,10,[13][14][15][16][17]. These studies demonstrated construct validity for these systems.…”
Section: Discussionmentioning
confidence: 99%
“…The notion of incorporating virtual reality training into the surgical curriculum has been suggested only recently and therefore validation testing for simulation concepts is a very recent development [3,4,6,10,[13][14][15][16][17].…”
mentioning
confidence: 99%
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“…Most prominent amongst these metrics are the errors performed and the end-product analysis. These are extensively validated throughout all tasks, and denote a further understanding of a trainee's true skill level [30,33,36,38,40]. VR simulators allow quantifying tissue damage by collisions' detection, which can be seen as an indicator of the spatial perception of the environment [23].…”
Section: Clinical Definition Of Metricsmentioning
confidence: 99%
“…VR simulators allow quantifying tissue damage by collisions' detection, which can be seen as an indicator of the spatial perception of the environment [23]. Where present, this has generated positive validation results as a differentiating metric [24,36,40]. Another quality metricdetection of idle states-has not gained much attention.…”
Section: Clinical Definition Of Metricsmentioning
confidence: 99%