Self-Regulated Video-Based Learning for Cultivating Surgical Skills: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Author:

Pakkasjärvi Niklas1ORCID,Anand Sachit2ORCID,Anttila Henrika3,Pyhältö Kirsi34

Affiliation:

1. Department of Pediatric Surgery, Turku University Hospital, 20521 Turku, Finland

2. Department of Pediatric Surgery, All India Institute of Medical Sciences, New Delhi 110029, India

3. Faculty of Educational Sciences, University of Helsinki, 00014 Helsinki, Finland

4. Centre for Higher and Adult Education, Faculty of Education, Stellenbosch University, Stellenbosch 7602, South Africa

Abstract

In recent decades, there has been a shift towards competency-based approaches in surgical training. The effectiveness of video-based learning (VBL) in enhancing surgical skills, particularly in the context of self-regulated learning (SR-VBL), was assessed in this study. While VBL is cost-effective, flexible, and can improve proficiency in technical skills prior to clinical practice, it is resource-challenging. SR-VBL includes many of VBL’s benefits but has utility in individual and distance settings due to its autarkic nature. This study identified and analyzed contemporary literature on SR-VBL using PRISMA guidelines, focusing on original randomized controlled studies published in international peer-reviewed journals during the COVID-19 pandemic in 2020–2022. Seven studies with 462 participants were included, with three eligible for the meta-analysis. The results showed that self-regulated video-based learning contributes to the learning of technical skills and can be applied to learners of all levels across surgical specialties. The meta-analysis revealed that improvements in validated outcome assessment scores (OSATS) were at least equal to traditional methods with a statistically significant result, though the effect was modest. Therefore, contemporary surgical training could incorporate SR-VBL for technical training to help surgeons of all levels in surgical self-assessment.

Funder

Jarl Walter, Karl Walter och Dorothea Olivia Perkléns minnesfond

Publisher

MDPI AG

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