A Comparison of 2 Ex Vivo Training Curricula for Advanced Laparoscopic Skills
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Notice bibliographique
Résumé
In Brief Objective: To compare the effectiveness and cost of 2 ex vivo training curricula for laparoscopic suturing. Background: Although simulators have been developed to teach laparoscopic suturing, a barrier to their wide implementation in training programs is a lack of knowledge regarding their relative training benefit and their associated cost. Method: This prospective single-blinded randomized trial allocated 24 surgical residents to train to proficiency using either a virtual reality (VR) simulator or box trainer. All residents then placed intracorporeal laparoscopic stitches during a Nissen fundoplication on a patient. The operating room (OR) cases were video-recorded and technical proficiency was assessed using 2 validated tools. OR performance of both groups was compared to that of conventionally trained residents and to fellowship-trained surgeons. A cost analysis of box training, VR training, and conventional residency training across Canadian surgical programs was performed. Results: After ex vivo training, no significant differences in laparoscopic suturing in the OR were found between the 2 groups with respect to time (P = 0.74)—global rating score (P = 0.65) or checklist score (P = 0.97). It took conventionally trained residents 6 practice attempts in the OR to achieve the technical proficiency of the ex vivo trained groups (P = 0.83). VR training was more efficient than box training (transfer effectiveness ratio of 2.31 vs 1.13). The annual cost of training 5 residents on the FLS trainer box was $11,975.00, on the VR simulator was $77,500.00, and conventional residency training was $17,380.00. Over 5 years, box training was the most cost-effective option for all programs, and VR training was more cost-effective for programs with more 10 residents. Conclusions: Training on either a VR simulator or on a box trainer significantly decreased the learning curve necessary to learn laparoscopic suturing. VR training, however, is the more efficient training modality, whereas box training the more cost-effective option. Laparoscopic suturing is one of the most technically demanding minimally invasive skills to acquire. Although ex vivo training curricula have been developed for this procedure, their relative efficiency and cost have yet to be compared. This study demonstrates that although virtual reality and laparoscopic box training equivalently reduce the learning curve necessary to learn laparoscopic suturing, virtual reality training does so in a more time-efficient manner, whereas laparoscopic box training is the more cost-effective option.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle