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Barcodes as Optical Marks for an Objective Assessment of Laparoscopic Skills in a Box Trainer

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Background/Need. The sensor-equipped box trainers can objectively evaluate psychomotor skills similar to virtual simulators. However, such box models are least of all involved in curricula in minimally invasive surgery, probably… Click to show full abstract

Background/Need. The sensor-equipped box trainers can objectively evaluate psychomotor skills similar to virtual simulators. However, such box models are least of all involved in curricula in minimally invasive surgery, probably because of their complexity or high cost. This discrepancy prompted us to find a simple solution that provides an objective assessment of laparoscopic skills on any box trainer. Methodology and Device Description. We used QR code, Code 128, and Circular Code 128 as optical marks in tasks on box trainers. These were marks of errors and positive actions. Polyvinylchloride and a nontransparent silicone sheet served as materials for the tasks. All barcode images were printed with black ink on office paper. In addition, we have developed an app that allows dealing with selected types of barcodes. Preliminary results. We designed 6 tasks based on our approach. Every task provides a precision registration of time, errors, and correct actions, comparable with virtual simulators. However, only 4 tasks showed satisfactory results during face validity’s obtaining. We found that primitive barcode scanning technology can provide an objective assessment of trainees on box trainers. The proposed approach is well suited for both commercial and custom box trainers. Current status. The research is currently underway to establish construct validity for the developed tasks. Besides, we intend to study features of other types of barcodes, such as Aztec Code, EAN-8, DataMatrix, and annular barcodes.

Keywords: skills box; assessment laparoscopic; assessment; laparoscopic skills; box trainers; objective assessment

Journal Title: Surgical Innovation
Year Published: 2022

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