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. 2014 Mar 25;43(1):7.
doi: 10.1186/1916-0216-43-7.

High definition video teaching module for learning neck dissection

Adrian Mendez, Hadi Seikaly, Kal Ansari, Russell Murphy, David Cote  1
Affiliations

High definition video teaching module for learning neck dissection

Adrian Mendez et al. J Otolaryngol Head Neck Surg. .

Abstract

Introduction: Video teaching modules are proven effective tools for enhancing student competencies and technical skills in the operating room. Integration into post-graduate surgical curricula, however, continues to pose a challenge in modern surgical education. To date, video teaching modules for neck dissection have yet to be described in the literature.

Purpose: To develop and validate an HD video-based teaching module (HDVM) to help instruct post-graduate otolaryngology trainees in performing neck dissection.

Methods: This prospective study included 6 intermediate to senior otolaryngology residents. All consented subjects first performed a control selective neck dissection. Subjects were then exposed to the video teaching module. Following a washout period, a repeat procedure was performed. Recordings of the both sets of neck dissections were de-identified and reviewed by an independent evaluator and scored using the Observational Clinical Human Reliability Assessment (OCHRA) system.

Results: In total 91 surgical errors were made prior to the HDVM and 41 after exposure, representing a 55% decrease in error occurrence. The two groups were found to be significantly different. Similarly, 66 and 24 staff takeover events occurred pre and post HDVM exposure, respectively, representing a statistically significant 64% decrease.

Conclusion: HDVM is a useful adjunct to classical surgical training. Residents performed significantly less errors following exposure to the HD-video module. Similarly, significantly less staff takeover events occurred following exposure to the HDVM.

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Figures

Figure 1
Figure 1
Total error aggregate.
Figure 2
Figure 2
Total error stratified per resident.
Figure 3
Figure 3
Mean error comparison between PGY-3 and PGY-5.
Figure 4
Figure 4
Types of error.
Figure 5
Figure 5
Total staff takeover events.
Figure 6
Figure 6
Staff takeover events per resident.
See this image and copyright information in PMC

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