Development of a surgical training model for bilateral axillo-breast approach robotic thyroidectomy.
Surg Endosc
; 32(3): 1360-1367, 2018 03.
Article
en En
| MEDLINE
| ID: mdl-28842763
BACKGROUND: Bilateral axillo-breast approach robotic thyroidectomy (BABA RT) is an excellent surgical method, being oncologically safe and with anatomic views similar to those of open surgery. BABA RT, however, requires training and a learning curve for proficiency. We evaluated the educational effectiveness of a surgical training model for BABA RT, comparing objective BABA scores with scores on the da Vinci Skills Simulator (dVSS). METHODS: Medical students, surgical residents, and surgical fellows performed structured tasks with the BABA training model and dVSS under the same conditions. All tasks were videotaped. BABA scores were compared with dVSS scores and with objective evaluation scores (GEARS and OSATS). RESULTS: Eight medical students, ten surgical residents, and eight surgical fellows participated in this study. The educational effect of BABA training improved from one to two (p < 0.001), two to three (p = 0.003), and one to three (p < 0.001) procedures. Statistically significant differences were found when students were compared with residents (p = 0.025) and fellows (p < 0.001) in the BABA training model, and between students and fellows (p = 0.004) in dVSS. BABA scores showed similar distribution patterns in the three groups to GEARS and OSATS scores (p < 0.001 each). CONCLUSIONS: The BABA training model is an excellent educational tool for surgical residents and surgical fellows to learn and practice BABA RT. Assessment by BABA score yielded objective results comparable to those of traditional scoring methodologies.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Tiroidectomía
/
Procedimientos Quirúrgicos Robotizados
/
Entrenamiento Simulado
/
Modelos Anatómicos
Tipo de estudio:
Prognostic_studies
Límite:
Adult
/
Female
/
Humans
Idioma:
En
Revista:
Surg Endosc
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
/
GASTROENTEROLOGIA
Año:
2018
Tipo del documento:
Article