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1948. Impact of @WuidQ, a Free Open-access Medical Education Twitter Resource, on Infectious Disease Learning and Teaching

BACKGROUND: Free open-access medical education (FOAMed) is increasingly used as a web-based platform for learning/teaching, with Twitter emerging as a leading medium. However, FOAMed resources in infectious disease (ID) are limited. @WuidQ is the first FOAMed Twitter resource to provide review of ID...

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Autores principales: Escota, Gerome V, George, Ige, Abdoler, Emily
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808981/
http://dx.doi.org/10.1093/ofid/ofz359.125
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author Escota, Gerome V
George, Ige
Abdoler, Emily
author_facet Escota, Gerome V
George, Ige
Abdoler, Emily
author_sort Escota, Gerome V
collection PubMed
description BACKGROUND: Free open-access medical education (FOAMed) is increasingly used as a web-based platform for learning/teaching, with Twitter emerging as a leading medium. However, FOAMed resources in infectious disease (ID) are limited. @WuidQ is the first FOAMed Twitter resource to provide review of ID through board-style, multiple-choice questions (MCQs). We describe its creation and impact to date. METHODS: Two ID faculties created MCQs, vetting them based on accuracy and clarity. MCQs were posted a few times weekly using Twitter’s poll function, with answers tweeted as “threads” linked to the MCQ (Figure 1). We reviewed followers’ profiles to determine their demographics. We also used Twitter metrics to assess participation, including the average number of poll voters, impression (number of tweet views), engagement (number of retweets, clicks), and engagement rate (engagement divided by impression). In order to gauge follower satisfaction, we posted an anonymous online survey that included both close-ended questions utilizing Likert scale and open-ended questions. RESULTS: Over its first 9 months, @WuidQ reached 1,339 followers (56% based in the United States, 47% healthcare professionals, 13% students/trainees) (Table 1). During this time, it earned 582,400 impressions and had a 3.1% mean engagement rate. We posted 103 MCQs, with a mean of 143 (range 70–316) poll voters per MCQ. Forty-five followers completed the survey; of whom, 49% were ID doctors, 22% were ID fellows, and 11% were medical residents. The vast majority of respondents were between 25 and 44 years of age. Almost all agreed that @WuidQ is engaging and accessible (Figure 2). The majority of respondents who were taking exams agreed that @WuidQ helped them with test preparation. Of those who indicated teaching was a relevant practice, 80% said it helped them teach ID. Lack of time to read and learners’ short attention span were the most common learning barriers addressed by @WuidQ (Figure 4). CONCLUSION: @WuidQ is an effective Twitter resource for ID education, filling a gap in FOAMed resources for ID. It has a global reach and caters to learners/teachers across a spectrum of training levels. Given its success, more work is warranted to understand practices for engaging learners and teachers in FOAMed for ID. [Image: see text] [Image: see text] [Image: see text] [Image: see text] DISCLOSURES: All Authors: No reported Disclosures.
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spelling pubmed-68089812019-10-28 1948. Impact of @WuidQ, a Free Open-access Medical Education Twitter Resource, on Infectious Disease Learning and Teaching Escota, Gerome V George, Ige Abdoler, Emily Open Forum Infect Dis Abstracts BACKGROUND: Free open-access medical education (FOAMed) is increasingly used as a web-based platform for learning/teaching, with Twitter emerging as a leading medium. However, FOAMed resources in infectious disease (ID) are limited. @WuidQ is the first FOAMed Twitter resource to provide review of ID through board-style, multiple-choice questions (MCQs). We describe its creation and impact to date. METHODS: Two ID faculties created MCQs, vetting them based on accuracy and clarity. MCQs were posted a few times weekly using Twitter’s poll function, with answers tweeted as “threads” linked to the MCQ (Figure 1). We reviewed followers’ profiles to determine their demographics. We also used Twitter metrics to assess participation, including the average number of poll voters, impression (number of tweet views), engagement (number of retweets, clicks), and engagement rate (engagement divided by impression). In order to gauge follower satisfaction, we posted an anonymous online survey that included both close-ended questions utilizing Likert scale and open-ended questions. RESULTS: Over its first 9 months, @WuidQ reached 1,339 followers (56% based in the United States, 47% healthcare professionals, 13% students/trainees) (Table 1). During this time, it earned 582,400 impressions and had a 3.1% mean engagement rate. We posted 103 MCQs, with a mean of 143 (range 70–316) poll voters per MCQ. Forty-five followers completed the survey; of whom, 49% were ID doctors, 22% were ID fellows, and 11% were medical residents. The vast majority of respondents were between 25 and 44 years of age. Almost all agreed that @WuidQ is engaging and accessible (Figure 2). The majority of respondents who were taking exams agreed that @WuidQ helped them with test preparation. Of those who indicated teaching was a relevant practice, 80% said it helped them teach ID. Lack of time to read and learners’ short attention span were the most common learning barriers addressed by @WuidQ (Figure 4). CONCLUSION: @WuidQ is an effective Twitter resource for ID education, filling a gap in FOAMed resources for ID. It has a global reach and caters to learners/teachers across a spectrum of training levels. Given its success, more work is warranted to understand practices for engaging learners and teachers in FOAMed for ID. [Image: see text] [Image: see text] [Image: see text] [Image: see text] DISCLOSURES: All Authors: No reported Disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6808981/ http://dx.doi.org/10.1093/ofid/ofz359.125 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Escota, Gerome V
George, Ige
Abdoler, Emily
1948. Impact of @WuidQ, a Free Open-access Medical Education Twitter Resource, on Infectious Disease Learning and Teaching
title 1948. Impact of @WuidQ, a Free Open-access Medical Education Twitter Resource, on Infectious Disease Learning and Teaching
title_full 1948. Impact of @WuidQ, a Free Open-access Medical Education Twitter Resource, on Infectious Disease Learning and Teaching
title_fullStr 1948. Impact of @WuidQ, a Free Open-access Medical Education Twitter Resource, on Infectious Disease Learning and Teaching
title_full_unstemmed 1948. Impact of @WuidQ, a Free Open-access Medical Education Twitter Resource, on Infectious Disease Learning and Teaching
title_short 1948. Impact of @WuidQ, a Free Open-access Medical Education Twitter Resource, on Infectious Disease Learning and Teaching
title_sort 1948. impact of @wuidq, a free open-access medical education twitter resource, on infectious disease learning and teaching
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808981/
http://dx.doi.org/10.1093/ofid/ofz359.125
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