Background: Simulation-based training may be used to acquire MIS skills. While mostly done in a simulation center, it is proposed that this training can be undertaken at-home as well. The aim of this study is to evaluate whether unsupervised at-home training and assessment of MIS skills is feasible and results in increased MIS skills.
Methods: Medical doctors and senior medical students were tested on their innate abilities by performing a pre-test on a take-home simulator. Henceforth, they followed a two-week interval training practicing two advanced MIS skills (an interrupted suture with knot tying task and a precise peg transfer task) and subsequently performed a post-test. Both tests and all training moments were performed at home. Performance was measured using motion analysis software (SurgTrac) and by expert-assessment and self-assessment using a competency assessment tool for MIS suturing (LS-CAT).
Results: A total of 38 participants enrolled in the study. Participants improved significantly between the pre-test and the post-test for both tasks. They were faster (632 s vs. 213 s, p < 0.001) and more efficient (distance of instrument tips: 9.8 m vs. 3.4 m, p = 0.001) in the suturing task. Total LS-CAT scores, rated by an expert, improved significantly with a decrease from 36 at the pre-test to 20 at the post-test (p < 0.001) and showed a strong correlation with self-assessment scores (R 0.771, p < 0.001). The precise peg transfer task was completed faster (300 s vs. 163 s, p < 0.001) and more efficient as well (14.8 m vs. 5.7 m, p = 0.005). Additionally, they placed more rings correctly (7 vs. 12, p = 0.010).
Conclusion: Unsupervised at-home training and assessment of MIS skills is feasible and resulted in an evident increase in skills. Especially in times of less exposure in the clinical setting and less education on training locations this can aid in improving MIS skills.
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http://dx.doi.org/10.1007/s00464-022-09424-2 | DOI Listing |
Zentralbl Chir
December 2024
Klinik und Poliklinik für Allgemein-, Viszeral-, Thorax- und Gefäßchirurgie, Universitätsklinikum Bonn, Bonn, Deutschland.
The rapid development of minimally invasive surgery (MIS) and robot-assisted surgery (RAS) requires standardized training to ensure high-quality patient care. In Germany, there is currently a lack of a standardized curriculum that teaches these specialized skills. The aim of this study is to find a consensus for the development of a nationwide curriculum for MIS and RAS with the subsequent implementation of the consented content.
View Article and Find Full Text PDFJ Sch Psychol
December 2024
Institute of Educational Research, University of Wuppertal, Wuppertal, Germany.
The present study examined the dependability of three newly developed direct behavior rating multi-item scales (DBR-MIS) of academic enablers (i.e., academic engagement, interpersonal skills, and study skills).
View Article and Find Full Text PDFCureus
November 2024
Stroke, Whiston Hospital, Liverpool, GBR.
Laparoscopic surgery, established in the 1980s, has become a primary treatment method across various surgical specialities due to its advantages over open surgery, including shorter recovery times and fewer complications. Mastery of laparoscopic skills is essential for novice and junior trainees, who must develop hand-eye coordination, depth perception, and instrument handling. This systematic review examines the learning curves of novices using box trainers compared to those using virtual reality (VR) simulators to attain proficiency in laparoscopic skills.
View Article and Find Full Text PDFSurg Endosc
December 2024
Department of General and Visceral Surgery, St. John of God Hospital, Teaching Hospital of the Paracelsus Medical University Salzburg, Kajetanerplatz 1, 5010, Salzburg, Austria.
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View Article and Find Full Text PDFCommunity Health Equity Res Policy
November 2024
Albert Einstein College of Medicine, Bronx, NY, USA.
Background: Historical injustices, structural racism, and negative healthcare experiences contribute to Black and Brown communities' distrust of science. Bridging Research, Accurate Information, and Dialogue (BRAID) is a community engagement model that leverages trusted messengers to share accurate, co-created health and science messages to their community through their social networks. In our prior research, trusted messengers reported encountering resistance or "discord" when conveying information about controversial topics such as COVID-19 vaccines and the importance of diversity in clinical trials.
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