Literature DB >> 20728179

Computer enhanced visual learning method to train urology residents in pediatric orchiopexy provided a consistent learning experience in a multi-institutional trial.

Leslie McQuiston1, Andrew Macneily, Dennis Liu, Jennie Mickelson, Elizabeth Yerkes, Anthony Chaviano, David Roth, Rachel Stork Stoltz, Daniel B Herz, Max Maizels.   

Abstract

PURPOSE: Computer enhanced visual learning is a new method to train residents to perform surgery using components and provide them with access to a personalized surgical feedback archive using the Internet. At the parent institution in Chicago we have already noted that this method is effective to train residents to perform orchiopexy. To assess whether this new methodology to enhance resident surgical instruction is generalizable we performed a prospective, multi-institutional clinical trial.
MATERIALS AND METHODS: We prospectively compared ratings of resident skills in performing pediatric orchiopexy at 4 institutions as novices to computer enhanced visual learning curriculum (study group) vs those at the single institution accustomed to that curriculum (control group). All urology residents and attending physicians accessed the computer enhanced visual learning curriculum. After each case was completed the attending urologist rated resident performance of each step and provided feedback on weaknesses for the resident to remediate at the next case. The learning score was calculated for each case as the sum of the ratings × case difficulty. Scores on the first case and the best case were compared between the study and control groups by resident and institution.
RESULTS: The study group included 6 attending physicians and 36 residents (99 orchiopexies). The control group included 8 attending physicians and 21 residents (108 orchiopexies). Between the study and control groups we noted no significant differences in average resident postgraduate year (2.9 vs 2.7), number of procedures per resident (3.9 vs 4.9), frequency with which residents viewed computer enhanced visual learning preoperatively (63% vs 74%) or attending physician provision of feedback (63% vs 88%) (each p not significant). Similarly of residents who completed more than 1 surgery there was no significant difference in the percent who showed an improved learning score in the study vs the control group (86% vs 79%) or in the magnitude of average improvement (10.5 vs 13.4) (each p not significant).
CONCLUSIONS: The institutional groups did not differ in training resident skills using computer enhanced visual learning for pediatric orchiopexy. Thus, the program provides a consistent learning experience and is generalizable across institutions. We believe that this tool will change the practice of how training programs educate residents by enhancing learning by a checklist approach and a computer platform to archive feedback and remediation.
Copyright © 2010 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20728179     DOI: 10.1016/j.juro.2010.03.072

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  3 in total

1.  Computer-enhanced visual learning method: a paradigm to teach and document surgical skills.

Authors:  Max Maizels; Jennie Mickelson; Elizabeth Yerkes; Evelyn Maizels; Rachel Stork; Christine Young; Julia Corcoran; Jane Holl; William E Kaplan
Journal:  J Grad Med Educ       Date:  2009-09

Review 2.  Surgical simulation in pediatric urologic education.

Authors:  Thomas Sean Lendvay
Journal:  Curr Urol Rep       Date:  2011-04       Impact factor: 3.092

3.  Computer-Enhanced Visual Learning Method to Teach Endoscopic Correction of Vesicoureteral Reflux: An Invitation to Residency Training Programs to Utilize the CEVL Method.

Authors:  Michael Bauschard; Max Maizels; Andrew Kirsch; Martin Koyle; Tony Chaviano; Dennis Liu; Rachel Stork Stoltz; Evelyn Maizels; Michaella Prasad; Andrew Marks; David Bolnick
Journal:  Adv Urol       Date:  2012-01-09
  3 in total

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