Assessing the Efficacy of Enhanced Versus Standard 3D Training Models in Laparoscopic Skills Acquisition: A Randomised Controlled Trial
NCT ID: NCT06184854
Last Updated: 2024-07-30
Study Results
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Basic Information
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COMPLETED
NA
62 participants
INTERVENTIONAL
2022-05-18
2022-06-30
Brief Summary
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-Are the 3D-enhanced training models used superior compared to the existing standard 3D LapPass training models for laparoscopic skills learning in novice medical students?
Participants will be assigned in one of the 2 groups and practise laparoscopic tasks in 2 separate sessions.
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Detailed Description
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Monocular cues are important to compensate for lack of depth perception in 2D vision. These include motion parallax through movement of the laparoscope, shading of light and dark, texture grading, relative position and instrument and anatomic structure size. Depth perception can be improved through experience as processing of monocular cues is enhanced and adaptation, which is a learning process, ultimately results to improved performance. Experienced surgeons have mastered the skill of identifying indirect monocular cues and gain depth perception by utilising them, resulting to accurate and efficient movements.
The 3D training models used in LapPass for training and assessment purposes lack variable contours and spatial complexity. In the current model for the polo manipulation and grasping task, all the posts are on the same height and mounted on a flat surface, This is the first exercise performed and heavily practised by novices to develop the fundamental laparoscopic skills of depth perception, hand-eye coordination and bimanual dexterity, which are vital for smooth progression to the other tasks. The laparoscopic suturing and intracorporeal knot tying task, similarly, introduces a 3D training model for suturing and approximation of slightly indented circles on a flat suturing pad. Perhaps, the adoption of these standard 3D training models could act as a limiting factor in technical skills acquisition and ultimately prolong the training time to achieve a higher level of expertise, compared to other improved alternatives. Achieving proficiency in basic laparoscopic skills can result in faster acquisition of more complex laparoscopic skills such as suturing and ultimately results to a more cost-effective training. By increasing the dimensionality of the tasks, a more realistic surgical environment could be achieved, addressing this potential technical skills gap and leading to faster, more cost-effective training.
In this study, the polo task will be converted using a 3D-enhanced Jenga polo model developed in our institution. The model was initially developed for the FLS program's simpler peg transfer task and the equipment will be adjusted to simulate the LapPass polo grasping and manipulation task, a more technically demanding task. In addition, the suturing task will be converted using a 3D-enhanced suturing model by Inovus Medical (Saint Helens, England, UK) attached on a platform providing limited stability to the model, which simulates sufficiently complexities in surgical practise.
Literature describing a direct comparison between 3D-enhanced and standard 3D training models of LapPass basic and advanced laparoscopic tasks is absent, despite the potential of fast-tracking laparoscopic skills acquisition in novices. We postulate that the use of 3D-enhanced training models at the onset of laparoscopic skills training of novices could accelerate the adaptation to indirect cues related to depth perception, as well as other core skills of laparoscopic skills training, enhancing performance. The aim of this study is to determine if laparoscopic technical skills acquisition will be superior with the use of 3D-enhanced training models in novice medical students when compared to the standard 3D LapPass training models in two distinct laparoscopic tasks.
PICOS criteria
* Population = Novice medical students from Year 1-5 including intercalating students
* Intervention = 3D-enhanced training models for polo manipulation and suturing tasks
* Comparator = Standard 3D LapPass training models for polo manipulation and suturing tasks
* Outcomes = Laparoscopic skill acquisition (GOALS score, Task completion time, Errors, Survey data)
* Setting = Simulation lab in Barts Cancer Institute
Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
SINGLE
Study Groups
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Standard 3D LapPass Training Models
Participants in the standard 3D group practised laparoscopic skills using the standard 3D LapPass training models for polo manipulation and intracorporeal suturing
Standard 3D LapPass Training Models
Standard 3D LapPass polo model for task 1 and standard 3D LapPass model for task 2
3D-Enhanced Training Models
Participants in the 3D-enhanced group practised laparoscopic skills using the 3D-enhanced training models for polo manipulation and intracorporeal suturing
3D-Enhanced Training Models
3D-enhanced Jenga polo model for task 1 and 3D-enhanced suturing model for task 2
Interventions
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3D-Enhanced Training Models
3D-enhanced Jenga polo model for task 1 and 3D-enhanced suturing model for task 2
Standard 3D LapPass Training Models
Standard 3D LapPass polo model for task 1 and standard 3D LapPass model for task 2
Eligibility Criteria
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Inclusion Criteria
* (2) Novices in laparoscopic surgery defined as having no formal laparoscopic skills training beyond camera navigation
Exclusion Criteria
* (2) Uncommitted to the completion of the study
18 Years
ALL
Yes
Sponsors
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Queen Mary University of London
OTHER
Responsible Party
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Georgios Alampritis
Principal Investigator
Principal Investigators
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Georgios Alampritis
Role: PRINCIPAL_INVESTIGATOR
Queen Mary University of London
Locations
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Barts Cancer Institute, Queen Mary University of London
London, , United Kingdom
Countries
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References
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Alampritis G, Rossou C, Patel B. Assessing the Efficacy of Enhanced Versus Standard Three-Dimensional Training Models in Laparoscopic Skills Acquisition: A Randomized Controlled Trial of Novice Medical Students. J Surg Educ. 2024 Dec;81(12):103278. doi: 10.1016/j.jsurg.2024.08.028. Epub 2024 Oct 11.
Other Identifiers
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QMERC22.110
Identifier Type: -
Identifier Source: org_study_id
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