Initial Experience of the Training Centre of Minimally Invasive Surgery at Ahli Arab Hospital in Gaza
Bibliographic record
Abstract
Background: Minimally Invasive Surgery (MIS) training outside operation room is still done by simulation in different training centers worldwide. Strong validity of such a training was evidenced using either the physical simulator (trainer box) or a biological model or a virtual reality (VR) or an animal model. Currently MIS is rapidly spreading worldwide in different surgical centers depending on the fact that MIS training is an essential prerequisite for any surgeon even with a vast experience in open surgery. A well-structured proficiency-based curriculum is essential to provide training for individuals who need to acquire MIS skills. Aim: To prove the efficiency and accuracy of training laparoscopic skills on combination of physical simulator as the dry module to be scored by a modified McGill Inanimate System for Training and Evaluation of Laparoscopic Skills (MISTELS) scoring system and on laparoscopic simulator as the wet module (Full Turkey model) using the Global Operative Assessment of Laparoscopic Surgery (GOALS) scoring items. Methods: One hundred and thirty-nine surgeons of different surgical specialties, age and experience levels (during the period from July 2018 to July 2019) were subjected to this curriculum-based training. All trainees received the basic cognitive knowledge in groups of fifteen to eighteen. In the hands on training each group is divided into three subgroups to fit the available six fundamental laparoscopic surgery (FLS) training boxes. Trainees are monitored by at two mentored per trainer in the different FLS skills and tasks. A modified (MISTELS) was used to score the five Fundamental Laparoscopic Surgery (FLS) skills and tasks that are the standard of the Society of American Gastroenterology Endoscopic Surgery (SAGES). Modifications entail the scoring time to be in minutes rather than in seconds. Some extra-activities were added to the first three skills/tasks. A score sheet was designed for each task considering both the scoring time and penalties. In Wet lab, not only the five tasks were repeated but also a complementary skill such as Veress needle insertion, port insertion and camera manipulation together with dissection e.g. intracorporeally in cholecystectomy were provided through a full Turkey model on a laparoscopic simulator. Trainees’ performance was measured with integration of cognitive knowledge post-testing, score in the modified MISTEL in dry lab and by the Global Operative Assessment of Laparoscopic Surgery (GOALS) scoring in wet laboratory. The mean of total score of the trainee before training was 35.28 while after training was 82.59 but Cronbach’s Alpha value in the pre and post testing scored 0.778 and 0.799 respectively Results: Majority of trainees showed improvement in all measured domains in different stations. In cognitive knowledge the mean score difference between the pre and post testing was 50.1and 72.14 respectively. This is statistically significant as shown in the student T-test value of 19.13. This indicates that the trainees are having some knowledge but definitely refined and improved on post testing. In Dry Lab there is a dramatic improvement in the post testing compared to pretests where there was a clear statistical significance of a P value of 0.01 in all the five skills and tasks between the pre and post test of each. In wet Lab the Global Operative Assessment of Laparoscopic Surgery (GOALS) scoring system Which is used to assess skill of surgeons in clinical settings in OR is used to simulate clinical sessions on a Full Turkey Model on laparoscopic simulator set. GOALS scoring in Full Turkey model proves its feasibility and efficiency in most trainees where Mean score was 84.1, The Median 84.0, and the Std = 5.38. Construct validity of this triad methodology of cognitive knowledge, dry lab and wet lab of full Turkey model is evident among different trainees of different groups with no florid significance of different surgeons in relation scores achieved and age group proving validity of this type of training. There is no statistical differences between age group and the final score of overall training the mean average of the trainees ages less than 35 years old was 81.2% followed by the trainees above 45 years old 79.7% with very simple difference in mean with trainees aged between 35 years old to 45 years old 79.6%. Conclusion: MIS training integrating a triad of training modules of MIS cognitive knowledge, traditional physical box trainer and a biological wet lab on a full Turkey model is fairly feasible and effective in the acquisition of fundamental laparoscopic skills and tasks. Global Operative Assessment of Laparoscopic Skills (GOALS) can be a valid tool to assess trainees outside operation room.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".