The Effect of an Ovariohysterectomy Model Practice on Surgical Times for Final-Year Veterinary Students’ First Live-Animal Ovariohysterectomies

Author:

Annandale Annett1,Scheepers Elrien1,Fosgate Geoffrey T.2

Affiliation:

1. Faculty of Veterinary Science, University of Pretoria

2. Department of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria

Abstract

This study evaluated whether one supervised simulated ovariohysterectomy (OVH) using a locally developed canine OVH model, decreased surgical time for final-year veterinary students’ first live-animal OVH. We also investigated student perceptions of the model as a teaching aid. Final-year veterinary students were exposed to an OVH model (Group M, n = 48) and compared to students without the exposure (Group C, n = 58). Both groups were instructed similarly on performing an OVH using a lecture, student notes, a video, and a demonstration OVH performed by a veterinary surgeon. Students in Group M then performed an OVH on the model before performing a live-animal OVH. Students in Group C had no exposure to the OVH model before performing a live-animal OVH. Surgical time data were analyzed using linear regression. Students in Group M completed a questionnaire on the OVH model after performing their first live-animal OVH. The OVH model exposure reduced students’ first canine live-animal OVH surgery time ( p = .009) for students without prior OVH experience. All students ( n = 48) enjoyed performing the procedure on the mode; students practicing an OVH on the model felt more confident (92%) and less stressed (73%) when performing their first live-animal OVH. Results suggest that the canine OVH model may be helpful as a clinical training tool and we concluded that the OVH model was effective at decreasing students’ first OVH surgical time.

Publisher

University of Toronto Press Inc. (UTPress)

Subject

General Veterinary,Education,General Medicine

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3