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Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study

BACKGROUND: The progressive use of e-learning in postgraduate medical education calls for useful quality indicators. Many evaluation tools exist. However, these are diversely used and their empirical foundation is often lacking. OBJECTIVE: We aimed to identify an empirically founded set of quality i...

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Autores principales: de Leeuw, Robert Adrianus, Walsh, Kieran, Westerman, Michiel, Scheele, Fedde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945990/
https://www.ncbi.nlm.nih.gov/pubmed/29699970
http://dx.doi.org/10.2196/mededu.9365
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author de Leeuw, Robert Adrianus
Walsh, Kieran
Westerman, Michiel
Scheele, Fedde
author_facet de Leeuw, Robert Adrianus
Walsh, Kieran
Westerman, Michiel
Scheele, Fedde
author_sort de Leeuw, Robert Adrianus
collection PubMed
description BACKGROUND: The progressive use of e-learning in postgraduate medical education calls for useful quality indicators. Many evaluation tools exist. However, these are diversely used and their empirical foundation is often lacking. OBJECTIVE: We aimed to identify an empirically founded set of quality indicators to set the bar for “good enough” e-learning. METHODS: We performed a Delphi procedure with a group of 13 international education experts and 10 experienced users of e-learning. The questionnaire started with 57 items. These items were the result of a previous literature review and focus group study performed with experts and users. Consensus was met when a rate of agreement of more than two-thirds was achieved. RESULTS: In the first round, the participants accepted 37 items of the 57 as important, reached no consensus on 20, and added 15 new items. In the second round, we added the comments from the first round to the items on which there was no consensus and added the 15 new items. After this round, a total of 72 items were addressed and, of these, 37 items were accepted and 34 were rejected due to lack of consensus. CONCLUSIONS: This study produced a list of 37 items that can form the basis of an evaluation tool to evaluate postgraduate medical e-learning. This is, to our knowledge, the first time that quality indicators for postgraduate medical e-learning have been defined and validated. The next step is to create and validate an e-learning evaluation tool from these items.
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spelling pubmed-59459902018-05-17 Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study de Leeuw, Robert Adrianus Walsh, Kieran Westerman, Michiel Scheele, Fedde JMIR Med Educ Original Paper BACKGROUND: The progressive use of e-learning in postgraduate medical education calls for useful quality indicators. Many evaluation tools exist. However, these are diversely used and their empirical foundation is often lacking. OBJECTIVE: We aimed to identify an empirically founded set of quality indicators to set the bar for “good enough” e-learning. METHODS: We performed a Delphi procedure with a group of 13 international education experts and 10 experienced users of e-learning. The questionnaire started with 57 items. These items were the result of a previous literature review and focus group study performed with experts and users. Consensus was met when a rate of agreement of more than two-thirds was achieved. RESULTS: In the first round, the participants accepted 37 items of the 57 as important, reached no consensus on 20, and added 15 new items. In the second round, we added the comments from the first round to the items on which there was no consensus and added the 15 new items. After this round, a total of 72 items were addressed and, of these, 37 items were accepted and 34 were rejected due to lack of consensus. CONCLUSIONS: This study produced a list of 37 items that can form the basis of an evaluation tool to evaluate postgraduate medical e-learning. This is, to our knowledge, the first time that quality indicators for postgraduate medical e-learning have been defined and validated. The next step is to create and validate an e-learning evaluation tool from these items. JMIR Publications 2018-04-26 /pmc/articles/PMC5945990/ /pubmed/29699970 http://dx.doi.org/10.2196/mededu.9365 Text en ©Robert Adrianus de Leeuw, Kieran Walsh, Michiel Westerman, Fedde Scheele. Originally published in JMIR Medical Education (http://mededu.jmir.org), 26.04.2018. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Education, is properly cited. The complete bibliographic information, a link to the original publication on http://mededu.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
de Leeuw, Robert Adrianus
Walsh, Kieran
Westerman, Michiel
Scheele, Fedde
Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study
title Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study
title_full Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study
title_fullStr Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study
title_full_unstemmed Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study
title_short Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study
title_sort consensus on quality indicators of postgraduate medical e-learning: delphi study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945990/
https://www.ncbi.nlm.nih.gov/pubmed/29699970
http://dx.doi.org/10.2196/mededu.9365
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