A Structured Modular Approach: The Answer to Training in Laparoscopic Colorectal Surgery
| Autor: | Mahmoud Abdel-dayem, Kumarswamy Maradi Thippeswamy, P. N. Haray |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
business.industry General surgery education 030230 surgery Modular design Colorectal surgery 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis medicine Laparoscopy Surgery Clinical Competence Surgical education business Colorectal Surgery Digestive System Surgical Procedures Learning Curve |
| Zdroj: | Surgical Innovation. 28:479-484 |
| ISSN: | 1553-3514 1553-3506 |
| DOI: | 10.1177/15533506211008079 |
| Popis: | Bakground: Laparoscopic techniques are now an integral part of the operative management of colorectal diseases. However, the specialist training that is required for this is not uniformly available. There is, therefore, a need for a structured competency-based training method so that trainees can navigate the learning curve safely. Aim. To develop a modular structured training programme for laparoscopic colorectal surgery (LCS) with the capability of ensuring competency-based progression from a novice level to independent operator. Methodology. Over the past decade, we have developed a structured approach, starting with junior surgical trainees and progressing through to consultant level, with 7 clearly defined levels of progression attending courses to achieving a trainer status. This approach allows trainees to maintain objective records of their progression and trainers to provide targeted learning opportunities. It also allows for several trainees of varying experience to be trained during the same procedure. Conclusion. Our structured training module for junior surgeons has successfully produced several competent laparoscopic colorectal surgeons in the United Kingdom and around the world. This approach may also be adaptable to training in other laparoscopic procedures as the levels of progression are generic and not procedure-specific. |
| Databáze: | OpenAIRE |
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