Electronic Platform-based Education for Radiology Residents: Results of a Two-Year Survey

Author:

Quaia Emilio1

Affiliation:

1. University of Padova

Abstract

Abstract Background Electronic platform-based resident education is increasing. The aim of this study was to identify the most reliable predictor variables related to the usage of electronic platform-based educational material for radiology residents which can predict a successful final year multiple choice test. Methods A two year survey was conducted based on the records of an electronic platform-based educational material for radiology residents. Radiology resident education was based on the educational content of two educational electronic platform databases. A pool of questions were addressed by each resident after reading the content of each electronic section related to a specific topic. A per-resident analysis was performed between the number of per-topic addressed questions and number of electronic platform content access, in terms of login access number, during the academic year (predictor variables) and final percentage of correct answers on final year electronic test (outcome variable). Statistical significance (p < 0.05) was determined using correlation analysis. Results Total login times (OR, 3; 95% CI, 2.2 -4), login frequency per month (OR, 4; 95% CI, 3.1–5.3), the number of per-topic addressed questions (OR, 3; 95% CI, 2.2 -4), and the number of topic-verified correct answers to multiple choice test (OR, 30.5; 95% CI, 12.8–80.9) all showed a statistically significant correlation with final percentage of correct answers on final year electronic test. Conclusion The number of correct answers to multiple choice test was related to the number and frequency of login access number, the number of per-topic addressed questions and the number of topic-verified correct answers to multiple choice test. The electronic-based educational material contributes significantly to a successful radiology residency program.

Publisher

Research Square Platform LLC

Reference11 articles.

1. Running a radiology residency program: strategies for success;Sarkany DS;Radiographics,2018

2. The Impact of COVID-19 on Radiology Trainees;Alvin MD;Radiology,2020

3. Gupta Y. Residents Remaining Flexible During COVID-19 Pandemic. https://www.theabr.org/blogs/residents-remaining-flexible-during-covid-19-pandemic. Published 2020. Accessed March 24, 2020.

4. Predictors for Failing the American Board of Radiology Core Examination;Horn GL;AJR Am J Roentgenol,2019

5. Gunderman RB, editor Achieving Excellence in Medical Education. Springer London Dordrecht Heidelberg New York, 2006.

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