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Electronic platform-based education for radiology residents: results of a two-year survey
BACKGROUND: Electronic platform based-learning for residents 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 multiple-choice test d...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062241/ https://www.ncbi.nlm.nih.gov/pubmed/36998067 http://dx.doi.org/10.1186/s12909-023-04190-8 |
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author | Quaia, Emilio |
author_facet | Quaia, Emilio |
author_sort | Quaia, Emilio |
collection | PubMed |
description | BACKGROUND: Electronic platform based-learning for residents 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 multiple-choice test during the academic year. METHODS: A two year survey was conducted based on the records of electronic platform-based educational material for radiology residents. Radiology resident education was based on the educational content of two educational electronic platform databases named RADPrimer and STATdx (Elsevier, Amsterdam) consisting in evidence-based and expert-vetted summary information to support learning and diagnosing in radiology. A pool of multiple-choice questions was addressed in RADPrimer by each resident after 6 months from the beginning of each academic year, and at the end of the respective residency year as part of end of the year assessment. A per-resident analysis was performed to analyze the correlation between the amount of electronic platform content accessed by residents (measured by total login times, login frequency per month, and the number of per-topic addressed questions) in preparation for the electronic test during the academic year (predictor variables) and per-resident average percentage of correct answers on electronic test (outcome variable). Statistical significance (p < 0.05) was determined using logistic regression and 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, 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. |
format | Online Article Text |
id | pubmed-10062241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100622412023-03-31 Electronic platform-based education for radiology residents: results of a two-year survey Quaia, Emilio BMC Med Educ Research BACKGROUND: Electronic platform based-learning for residents 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 multiple-choice test during the academic year. METHODS: A two year survey was conducted based on the records of electronic platform-based educational material for radiology residents. Radiology resident education was based on the educational content of two educational electronic platform databases named RADPrimer and STATdx (Elsevier, Amsterdam) consisting in evidence-based and expert-vetted summary information to support learning and diagnosing in radiology. A pool of multiple-choice questions was addressed in RADPrimer by each resident after 6 months from the beginning of each academic year, and at the end of the respective residency year as part of end of the year assessment. A per-resident analysis was performed to analyze the correlation between the amount of electronic platform content accessed by residents (measured by total login times, login frequency per month, and the number of per-topic addressed questions) in preparation for the electronic test during the academic year (predictor variables) and per-resident average percentage of correct answers on electronic test (outcome variable). Statistical significance (p < 0.05) was determined using logistic regression and 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, 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. BioMed Central 2023-03-30 /pmc/articles/PMC10062241/ /pubmed/36998067 http://dx.doi.org/10.1186/s12909-023-04190-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Quaia, Emilio Electronic platform-based education for radiology residents: results of a two-year survey |
title | Electronic platform-based education for radiology residents: results of a two-year survey |
title_full | Electronic platform-based education for radiology residents: results of a two-year survey |
title_fullStr | Electronic platform-based education for radiology residents: results of a two-year survey |
title_full_unstemmed | Electronic platform-based education for radiology residents: results of a two-year survey |
title_short | Electronic platform-based education for radiology residents: results of a two-year survey |
title_sort | electronic platform-based education for radiology residents: results of a two-year survey |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062241/ https://www.ncbi.nlm.nih.gov/pubmed/36998067 http://dx.doi.org/10.1186/s12909-023-04190-8 |
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