SIMULATION TRAINING

Simulation-based training of non-technical skills in colonoscopy

Protocol for a randomized controlled trial

Protocol for a randomized controlled trial

Protocol for a randomized controlled trial

Published on

August 4, 2017

JMIR Research Protocols

Rishad Khan, Michael A Scaffidi, Catharine M Walsh, Peter Lin, Ahmed Al-Mazroui, Barinder Chana, Ruben Kalaichandran, Woojin Lee, Teodor P Grantcharov, Samir C Grover
Rishad Khan, Michael A Scaffidi, Catharine M Walsh, Peter Lin, Ahmed Al-Mazroui, Barinder Chana, Ruben Kalaichandran, Woojin Lee, Teodor P Grantcharov, Samir C Grover
Rishad Khan, Michael A Scaffidi, Catharine M Walsh, Peter Lin, Ahmed Al-Mazroui, Barinder Chana, Ruben Kalaichandran, Woojin Lee, Teodor P Grantcharov, Samir C Grover

Overview

This study investigates the impact of non-technical skills (NTS) training on the performance of novice endoscopists during clinical colonoscopy. While previous research has highlighted the benefits of NTS training in surgical contexts, it has yet to be applied specifically within endoscopy. The research involves a randomized trial where novice endoscopists are divided into two groups: a control group receiving standard training and an intervention group that incorporates NTS-focused instruction. Both groups undergo assessments at baseline, immediately post-training, and 4 to 6 weeks later, with a primary focus on colonoscopy-specific performance in clinical settings.

The anticipated results aim to demonstrate that NTS training can enhance the overall performance and patient safety attitudes among trainees. By integrating NTS into the training curriculum, the study seeks to promote self-reflection and improve clinical outcomes in colonoscopy, potentially paving the way for its inclusion in postgraduate gastrointestinal education. Data collection is ongoing, with an expected completion of assessments and subsequent publication by December 2017.

Results

In total, 42 novice endoscopists completed the study. Data collection and analysis is ongoing. Researchers anticipate completion of all assessments by August 2017. Data analysis, manuscript writing, and subsequent submission for publication is expected to be completed by December 2017.

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Copyright. All Rights Reserved 2024
Copyright. All Rights Reserved 2024