Literature DB >> 21642446

Optimising surgical training: use of feedback to reduce errors during a simulated surgical procedure.

Emily Boyle1, Musallam Al-Akash, Anthony G Gallagher, Oscar Traynor, Arnold D K Hill, Paul C Neary.   

Abstract

OBJECTIVE: To assess the effect of proximate or immediate feedback during an intensive training session. The authors hypothesised that provision of feedback during a training session would improve performance and learning curves.
METHODS: Twenty-eight trainee surgeons participated in the study between September and December 2008. They were consecutively assigned to group 1 (n=16, no feedback) or group 2 (n=12, feedback) All the participants performed five hand-assisted laparoscopic colectomy procedures on the ProMIS surgical simulator. Efficiency of instrument use (instrument path length and smoothness) and predefined intraoperative error scores were assessed. Facilitators assisted their performance and answered questions when asked. Group 1 participants were given no extra assistance, but group 2 participants received standardised feedback and the chance to review errors after every procedure. Data were analysed using SPSS V.15. Mann-Whitney U tests were used to compare mean performance results, and analysis of variance was used to calculate within-subject improvement.
RESULTS: Group 1 achieved better results for instrument path length (23 874 mm vs 39 086 mm, p=0.001) and instrument smoothness (2015 vs 2567, p=0.045) However, group 2 (feedback) performed significantly better with regard to error scores (14 vs 4.42, p=0.000). In addition, they demonstrated a smoother learning curve. Inter-rater reliability for the error scores was 0.97.
CONCLUSION: The provision of standardised proximate feedback was associated with significantly fewer errors and an improved learning curve. Reducing errors in the skills lab environment should lead to safer clinical performance. This may help to make training more efficient and improve patient safety.

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Year:  2011        PMID: 21642446     DOI: 10.1136/pgmj.2010.109363

Source DB:  PubMed          Journal:  Postgrad Med J        ISSN: 0032-5473            Impact factor:   2.401


  17 in total

1.  Tailored instructor feedback leads to more effective virtual-reality laparoscopic training.

Authors:  M Paschold; T Huber; S R Zeißig; H Lang; Werner Kneist
Journal:  Surg Endosc       Date:  2013-11-02       Impact factor: 4.584

2.  Basic surgical training in Ireland: the impact of operative experience, training program allocation and mentorship on trainee satisfaction.

Authors:  K E O'Sullivan; J S Byrne; T N Walsh
Journal:  Ir J Med Sci       Date:  2013-04-20       Impact factor: 1.568

3.  Development of force-based metrics for skills assessment in minimally invasive surgery.

Authors:  Ana Luisa Trejos; Rajni V Patel; Richard A Malthaner; Christopher M Schlachta
Journal:  Surg Endosc       Date:  2014-02-12       Impact factor: 4.584

4.  Zone calculation as a tool for assessing performance outcome in laparoscopic suturing.

Authors:  Christina E Buckley; Dara O Kavanagh; Emmeline Nugent; Donncha Ryan; Oscar J Traynor; Paul C Neary
Journal:  Surg Endosc       Date:  2014-10-11       Impact factor: 4.584

Review 5.  What to consider when designing a laparoscopic colorectal training curriculum: a review of the literature.

Authors:  A Gaitanidis; C Simopoulos; M Pitiakoudis
Journal:  Tech Coloproctol       Date:  2018-03-06       Impact factor: 3.781

6.  Conception of the Lübeck Toolbox curriculum for basic minimally invasive surgery skills.

Authors:  Tilman Laubert; Hamed Esnaashari; Paul Auerswald; Anna Höfer; Michael Thomaschewski; Hans-Peter Bruch; Tobias Keck; Claudia Benecke
Journal:  Langenbecks Arch Surg       Date:  2017-12-01       Impact factor: 3.445

7.  Effect of real-time virtual reality-based teaching cues on learning needle passing for robot-assisted minimally invasive surgery: a randomized controlled trial.

Authors:  Anand Malpani; S Swaroop Vedula; Henry C Lin; Gregory D Hager; Russell H Taylor
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-05-08       Impact factor: 2.924

Review 8.  Advanced training in laparoscopic abdominal surgery: a systematic review.

Authors:  Laura Beyer-Berjot; Vanessa Palter; Teodor Grantcharov; Rajesh Aggarwal
Journal:  Surgery       Date:  2014-06-16       Impact factor: 3.982

9.  Performance and Capability Assessment in Surgical Subtask Automation.

Authors:  Tamás D Nagy; Tamás Haidegger
Journal:  Sensors (Basel)       Date:  2022-03-24       Impact factor: 3.576

Review 10.  Crowdsourcing in Surgical Skills Acquisition: A Developing Technology in Surgical Education.

Authors:  Jessica C Dai; Thomas S Lendvay; Mathew D Sorensen
Journal:  J Grad Med Educ       Date:  2017-12
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