scholarly journals Training Surgeons to Perform Arthroscopic All-Inside Meniscal Repair: A Randomized Controlled Trial Evaluating the Effectiveness of a Novel Cognitive Task Analysis Teaching Tool, Imperial College London/University College London Meniscus Repair Cognitive Task Analysis (IUMeRCTA)

2021 ◽  
pp. 036354652110216
Author(s):  
Urvi Karamchandani ◽  
Rahul Bhattacharyya ◽  
Rahul Patel ◽  
Sam Oussedik ◽  
Rajarshi Bhattacharya ◽  
...  

Background: All-inside meniscal repair is an increasingly common technique for the surgical treatment of meniscal tears. There are currently no standardized techniques for training residents in this procedure. Cognitive task analysis (CTA) is a method of analyzing and standardizing key steps in a procedure that allows training to be conducted in a validated and reproducible manner. Purpose: (1) To design a digital CTA teaching tool for a standardized all-inside meniscal repair. (2) To evaluate whether CTA-trained residents would perform better in a meniscal repair task compared with a control group who underwent traditional apprenticeship methods of training. Study Design: Controlled laboratory study. Methods: Three expert knee surgeons were interviewed using a modified Delphi method to generate a consensus among the ideal technical steps, cognitive decision points, and common errors and solutions for an all-inside meniscal repair. This written information was then combined with visual and audio components and integrated onto a digital platform to create the Imperial College London/University College London Meniscus Repair Cognitive Task Analysis (IUMeRCTA) tool. Eighteen novice residents were randomized into an intervention group (digital CTA tool) and control group (equipment instruction manual). Both groups performed an all-inside meniscal repair on high-fidelity, phantom knee models and were assessed by expert surgeons, blinded to the interventions, using a validated global rating scale (GRS). After a power calculation, median GRS scores were compared between groups using the Mann-Whitney U test; significance was set at P < .05. Results: For the IUMeRCTA tool design, the procedure was divided into 55 steps across 9 phases: (1) preoperative planning, (2) theater and patient setup, (3) portal placement, (4) meniscal examination, (5) tear reduction, (6) suture planning, (7) suture insertion, (8) repair completion, and (9) postoperative care and rehabilitation. For the trial, the intervention group (mean ± SD GRS, 32 ± 2.9) performed significantly better than did the control group (GRS, 24 ± 3.3; P < .001). Conclusion: This is the first CTA tool to demonstrate objective benefits in training novices to perform an arthroscopic all-inside meniscal repair. Clinical Relevance: The IUMeRCTA tool is an easily accessible and effective adjunct to traditional teaching that enhances learning the all-inside meniscal repair for novice surgeons.

2021 ◽  
Vol 2 (1) ◽  
pp. 20-28
Author(s):  
Philippe Fauquet-Alekhine ◽  
Patrick Martinez

The aim of this pilot study was to test a method developed in the Cognitive Task Analysis paradigm for adult occupational training in the field of education. The method used was based on the Square of Percieved ACtion (SPEAC) protocol using the SPEAC model (explaining how to successfully put competencies in action). The study was conducted in two secondary education classes, with a sample of 36 students (control group and test group) for an activity in Economics & Social science. The application of this innovative SPEAC-based method resulted in a significant and homogeneous increase in student performance. Beyond showing that the protocol can be applied both for adults and the young and in both occupational and academic contexts, the study demonstrates the benefits in learning and training with this method. Cognitive processes underpinning the improvement in teaching and limitations of the method are discussed.


Author(s):  
Laura G. Militello ◽  
Robert J. B. Hutton ◽  
Rebecca M. Pliske ◽  
Betsy J. Knight ◽  
Gary Klein ◽  
...  

2001 ◽  
Author(s):  
Richard P. Fahey ◽  
Anna L. Rowe ◽  
Kendra L. Dunlap ◽  
Dan O. deBoom

2000 ◽  
Author(s):  
J. M. C. Schraagen ◽  
◽  
N. Graff ◽  
J. Annett ◽  
M. H. Strub ◽  
...  

2009 ◽  
Author(s):  
Robert R. Hoffman ◽  
Birsen Donmez ◽  
Julie A. Adams ◽  
David B. Kaber ◽  
Ann Bisantz ◽  
...  

2009 ◽  
Author(s):  
David Close ◽  
Kari Babski-Reeves ◽  
Nick Younan ◽  
Noel Schulz

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