Mastery Learning of Surgical Skills

Teitelbaum, Ezra N.; Barsness, Katherine A.; Hungness, Eric S.

doi:10.1007/978-3-030-34811-3_12

Cited by 3 publications

(4 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A score range of [1][2][3][4] was considered as poor realism; [4][5][6][7] was moderate realism; and [7][8][9][10] as high realism.…”

Section: Face Validitymentioning

confidence: 99%

“…[1][2][3][4][5][6] Mastery of surgical skills require repetitive training of basic skills and training on high-fidelity simulators. 7,8 For head and neck surgical oncology, the dissection models currently in use are essentially based on human cadavers in anatomy laboratories. 9,10 Although they allow identification of the main vasculonervous neck structures, they are limited by an absence of vascular turgidity and the absence of intraoperative bleeding.…”

mentioning

confidence: 99%

“…Simulation has emerged as a safe way of learning helping to instill confidence and autonomy in surgeons‐to‐be 1‐6 . Mastery of surgical skills require repetitive training of basic skills and training on high‐fidelity simulators 7,8 . For head and neck surgical oncology, the dissection models currently in use are essentially based on human cadavers in anatomy laboratories 9,10 .…”

mentioning

confidence: 99%

See 2 more Smart Citations

SimLife®: A New Dynamic Model for Head and Neck Surgical Oncology Simulation

Rullière,

Danion,

Fieux

et al. 2023

Otolaryngol.--head neck surg.

View full text Add to dashboard Cite

The SimLife® model consists in a human cadaver dynamized by pulsatile vascularization. The objective was to evaluate the face, contents, and constructs validity of the SimLife® model in head and neck surgical oncology simulation. Head and neck surgical oncology simulation sessions on SimLife® models were organized with lateral neck dissection and total laryngectomy. Face and contents validity were addressed by questionnaires. Constructs validity was assessed by objective structured assessment of technical skills (OSATS) score. High realism was demonstrated for consistency of tissues (7.1 ± 1.4), color of arteries and veins (7.3 ± 1.9, 8.5 ± 1.1, respectively), and vein consistency (8.5 ± 1.2). The mean OSATS score was 19.7 ± 5.4 for residents and 32.7 ± 1.9 for senior surgeon (P = .0022). SimLife® is a hyperrealistic model for head and neck surgical oncology simulation and it might become a core component of the surgical resident curriculum.

show abstract

“…A score range of [1][2][3][4] was considered as poor realism; [4][5][6][7] was moderate realism; and [7][8][9][10] as high realism.…”

Section: Face Validitymentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

SimLife®: A New Dynamic Model for Head and Neck Surgical Oncology Simulation

Rullière,

Danion,

Fieux

et al. 2023

Otolaryngol.--head neck surg.

View full text Add to dashboard Cite

show abstract

“…Mastery‐level learning for surgical residents has been shown to reap performance or cost benefits using simulation methods to train procedural skills, such as laparoscopic hernia repair, flexible endoscopy, and common bile duct exploration 2–4 . A structured curriculum incorporating a combination of deliberate practice in simulation, traditional learning methods, rigorous assessment, and clearly stated high‐level performance objectives is the basis for Simulation‐Based Mastery Learning (SMBL) 5 . The general SMBL model, which can lend itself to adoption of new methods that leverage hi‐tech educational tools, should serve as the template for a truly effective “best practice” use of simulation in surgical education.…”

Section: Introductionmentioning

confidence: 99%

Application of technology to educational needs in surgery

Beqari

Seymour

2021

Journal of Surgical Oncology

View full text Add to dashboard Cite

Innovations in surgical education follow advancing clinical technology. New surgical methods have prompted demand for systematic methods to leverage computing power and internet tools to achieve proficiency‐based training goals. Virtual reality, high‐fidelity patient simulation, web‐based resources to facilitate performance assessment, and telementoring have become mainstream practices, although patient outcomes benefits are not well studied. Remote virtual meeting and mentoring have had transformative effects on resident experiences, the full effects of which remain to be seen.

show abstract

Assessment of Surgical Competences for Neck Dissection and Total Laryngectomy on Revascularized Cadaver Models: Onco-Neck-Score and Onco-Larynx-Score

Rullière,

Danion,

Dufour

et al. 2024

Surg Innov

View full text Add to dashboard Cite

Background In surgical simulation, evaluation tools are necessary to allow the overall and specific level of each gesture to be assessed for learners, to allow active feedback and follow-up. The aim of this study was to create and validate a scale for the assessment of competences for neck dissection (ND) and total laryngectomy (TL) in head and neck surgical oncology simulation specific for revascularized cadavers’ models. Methods Two independent scales were created for ND and TL based on a two-round Delphi method. The scales were used during ND and TL simulation sessions on SimLife® (Symedis, Poitiers, France) model. Surgical steps were scored by 2 independent observers. To assess its ease of use, a questionnaire was answered by senior surgeons (SS) at the end of the sessions. Results Fifteen items were included in the final version for ND scale and 20 for TL scale. The results of 14 lateral ND and 8 TL were included. The mean score was higher for SS (69 ± 6.4; 87.5 ± 8.5) than for residents (36.5 ± 11; 57.5 ± 13.2) for ND ( P = 0.0006) and TL ( P = 0.028) respectively. Six SS strongly agreed that this tool had a positive impact on resident training with stepwise feedback and accurately represented their competences. Conclusion We developed a pedagogic tool built to assess surgical competence for head and neck surgical oncology on revascularized cadaver models. This tool has a good construct validity thanks to the expert reviewing with Delphi method and appears to have fine acceptability by the SS.

show abstract

Mastery Learning of Surgical Skills

Cited by 3 publications

References 33 publications

SimLife®: A New Dynamic Model for Head and Neck Surgical Oncology Simulation

SimLife®: A New Dynamic Model for Head and Neck Surgical Oncology Simulation

Application of technology to educational needs in surgery

Assessment of Surgical Competences for Neck Dissection and Total Laryngectomy on Revascularized Cadaver Models: Onco-Neck-Score and Onco-Larynx-Score

Contact Info

Product

Resources

About