Microanastomosis training models discriminated competence levels: untrained groups scored significantly lower than trained groups on the NOMAT tool¶

Claim · All claims
Evidence · 1 study · review r3 · q3
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? In vessel-suturing studies using the Northwestern Objective Microanastomosis Assessment Tool, the mean NOMAT score of the untrained group was significantly lower than that of the trained group (p = 0.02 and p = 0.01). → Chawla Shreya 2022

Evidence¶

Chawla Shreya 2022¶

Chawla Shreya, Devi Sharmila, Calvachi Paola, Gormley William B., Rueda-Esteban Roberto. (2022). Evaluation of simulation models in neurosurgical training according to face, content, and construct validity: a systematic review. Acta Neurochirurgica. https://doi.org/10.1007/s00701-021-05003-x

q3 · i? · review · r3

Sub-group analysis of two vessel-suturing studies (synthetic and placenta models) both using NOMAT for construct validity: "the untrained group was significantly lower than that of the trained group" with printed p-values of 0.02 and 0.01; no effect size printed.

"The mean NOMAT score of the untrained group was significantly lower than that of the trained group in the studies by Aoun et al. (2015) [6] (p = 0.02) and Belykh et al. (2016) [12] (p = 0.01)."

Discussion¶

Related Claims¶

• Sensor-based force measurement discriminates skill levels, with experts suturing faster and with lower applied force than novices — related
• A learning analytics student model discriminates between trained and untrained students in VR lineworker training maneuvers — related