Literature DB >> 23018716

Tracking the learning curve in microsurgical skill acquisition.

Jesse C Selber1, Edward I Chang, Jun Liu, Hiroo Suami, David M Adelman, Patrick Garvey, Matthew M Hanasono, Charles E Butler.   

Abstract

BACKGROUND: Despite advances in surgical training, microsurgery is still based on an apprenticeship model. To evaluate skill acquisition and apply targeted feedback to improve their training model, the authors applied the Structured Assessment of Microsurgery Skills to the training of microsurgical fellows. They hypothesized that subjects would demonstrate measurable improvement in performance throughout the study period and consistently across evaluators.
METHODS: Seven fellows were evaluated during 118 microsurgical cases by 16 evaluators over three 1-month evaluation periods in 1 year (2010 to 2011). Evaluators used the Structured Assessment of Microsurgery Skills questionnaire, which measures dexterity, visuospatial ability, operative flow, and judgment. To validate the data, microsurgical anastomoses in rodents performed by the fellows in a laboratory at the beginning and end of the study period were evaluated by five blinded plastic surgeons using the same questionnaire. Primary outcomes were change in scores between evaluation periods and interevaluator reliability.
RESULTS: Between the first two evaluation periods, all skill areas and overall performance improved significantly. Between the second two periods, most skill areas improved, but only a few improved significantly. Operative errors decreased significantly between the first and subsequent periods (81 versus 36; p < 0.05). In the laboratory study, all skills were significantly (p < 0.05) or marginally (0.05 ≤ p < 0.10) improved between time points. The overall interevaluator reliability of the questionnaire was acceptable (α = 0.67).
CONCLUSIONS: The Structured Assessment of Microsurgery Skills questionnaire is a valid instrument for assessing microsurgical skill, providing individualized feedback with acceptable interevaluator reliability. Use of the questionnaire is anticipated to enhance microsurgical training.

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Mesh:

Year:  2012        PMID: 23018716      PMCID: PMC3804357          DOI: 10.1097/PRS.0b013e318262f14a

Source DB:  PubMed          Journal:  Plast Reconstr Surg        ISSN: 0032-1052            Impact factor:   4.730


  18 in total

1.  [Not Available].

Authors:  Franck Marie P Leclère; Frédéric Kolb; Gregory A Lewbart; Vincent Casoli; Esther Vögelin
Journal:  Plast Surg (Oakv)       Date:  2014       Impact factor: 0.947

2.  Robotic-assisted microvascular surgery: skill acquisition in a rat model.

Authors:  Nicholas S Clarke; Johnathan Price; Travis Boyd; Stefano Salizzoni; Kenton J Zehr; Alejandro Nieponice; Pietro Bajona
Journal:  J Robot Surg       Date:  2017-08-10

3.  Learning curve and influencing factors of performing microsurgical anastomosis: a laboratory prospective study.

Authors:  Etienne Lefevre; Mario Ganau; Ismail Zaed; Guaracy de Macedo Machado-Filho; Antonino Scibilia; Charles-Henry Mallereau; Damien Bresson; Julien Todeschi; Helene Cebula; Francois Proust; Jean-Luc Vignes; Alain-Charles Masquelet; Sybille Facca; Philippe Livernaux; Alex Alfieri; Taise Cruz Mosso Ramos; Marcelo Magaldi; Carmen Bruno; Salvatore Chibbaro
Journal:  Neurosurg Rev       Date:  2022-09-06       Impact factor: 2.800

4.  Robotically assisted microsurgery: development of basic skills course.

Authors:  Philippe André Liverneaux; Sarah Hendriks; Jesse C Selber; Sijo J Parekattil
Journal:  Arch Plast Surg       Date:  2013-07-17

5.  Robotic microsurgical training and evaluation.

Authors:  Jesse C Selber; Taiba Alrasheed
Journal:  Semin Plast Surg       Date:  2014-02       Impact factor: 2.314

6.  Evaluation of the microvascular research center training program for assessing microsurgical skills in trainee surgeons.

Authors:  Seiji Komatsu; Kiyoshi Yamada; Shuji Yamashita; Narushi Sugiyama; Eijiro Tokuyama; Kumiko Matsumoto; Ayumi Takara; Yoshihiro Kimata
Journal:  Arch Plast Surg       Date:  2013-05-16

Review 7.  Microvascular Anastomosis Training in Neurosurgery: A Review.

Authors:  Vadim A Byvaltsev; Serik K Akshulakov; Roman A Polkin; Sergey V Ochkal; Ivan A Stepanov; Yerbol T Makhambetov; Talgat T Kerimbayev; Michael Staren; Evgenii Belykh; Mark C Preul
Journal:  Minim Invasive Surg       Date:  2018-03-28

8.  Hands-on Simulation versus Traditional Video-learning in Teaching Microsurgery Technique.

Authors:  Yusuke Sakamoto; Sho Okamoto; Kenzo Shimizu; Yoshio Araki; Akihiro Hirakawa; Toshihiko Wakabayashi
Journal:  Neurol Med Chir (Tokyo)       Date:  2017-04-06       Impact factor: 1.742

9.  Efficacy of a new video-based training model in spinal surgery.

Authors:  D H Heiland; A K Petridis; H Maslehaty; J Thissen; A Kinzel; M Scholz; L Schreiber
Journal:  Surg Neurol Int       Date:  2014-01-14

10.  Research priorities in light of current trends in microsurgical training: revalidation, simulation, cross-training, and standardisation.

Authors:  Rebecca Spenser Nicholas; Rudo N Madada-Nyakauru; Renu Anita Irri; Simon Richard Myers; Ali Mahmoud Ghanem
Journal:  Arch Plast Surg       Date:  2014-05-12
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