ArticleSurgical endoscopy2023
Better than the real thing? Success of a virtual platform for an established "Train the Trainer" course.
Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- A systematic scoping review of mentor training in medical education between 2000 and 2024.BMC medical education · 2025Article
- Moving the needle for laparoscopic common bile duct exploration: defining obstacles for the path forward.Surgical endoscopy · 2024Article
- Minimally Invasive Surgery Deserts: Is There a Role for Robotic Assisted Surgery?JSLS : Journal of the Society of Laparoendoscopic SurgeonsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) uses the Laparoscopic colectomy Train the Trainer (Lapco TT) framework for standardization of instructor training for Hands-On surgical skills courses. The curriculum focuses on teaching structure, skills deconstruction, trainer intervention framework, and performance enhancing feedback. A halt in the in-person Lapco TT courses due to the Coronavirus Disease 2019 (COVID-19) pandemic necessitated creation of a virtual alternative. We investigated the effectiveness of this virtual course.
methodsAdaptation of the in-person Lapco TT course to the virtual format retained the majority of content as well as the 4:6 instructor-to-participant ratio. The virtual platform and simulators chosen allowed maximal interactivity and ease of use. After participating in the day and one half course, participants completed an 8-item post-course survey using a 5-point Likert scale related to the training experience. In addition, they had the opportunity to provide answers to several open-ended questions regarding the course. For the survey, frequency counts provided an assessment of each item. For the open questions, qualitative analysis included determination of themes for each question. Frequency counts of each theme provided quantitative analysis.
resultsThirty-six total participants completed a Lapco TT virtual course (six sessions of six participants). Of this number, 32 participants completed post-course surveys and questions. All the participants completing the survey would very likely or definitely (Likert scale 4, 5) recommend the course to a colleague and incorporate the teaching in their practice. The majority of participants completing open-ended questions felt the virtual course format was effective; half thought that post-course follow-up would be useful. Technical concerns were an issue using the virtual format.
conclusionA virtual Lapco TT course is feasible and well received by participants. It presents a potentially more cost effective option to faculty development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.