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Evaluating the effectiveness of undergraduate clinical education programs

Medical schools should use a variety of measures to evaluate the effectiveness of their clinical curricula. Both outcome measures and process measures should be included, and these can be organized according to the four-level training evaluation model developed by Donald Kirkpatrick. Managing evalua...

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Detalles Bibliográficos
Autores principales: Ragsdale, John W., Berry, Andrea, Gibson, Jennifer W., Herber-Valdez, Christiane R., Germain, Lauren J., Engle, Deborah L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241512/
https://www.ncbi.nlm.nih.gov/pubmed/32352355
http://dx.doi.org/10.1080/10872981.2020.1757883
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author Ragsdale, John W.
Berry, Andrea
Gibson, Jennifer W.
Herber-Valdez, Christiane R.
Germain, Lauren J.
Engle, Deborah L.
author_facet Ragsdale, John W.
Berry, Andrea
Gibson, Jennifer W.
Herber-Valdez, Christiane R.
Germain, Lauren J.
Engle, Deborah L.
author_sort Ragsdale, John W.
collection PubMed
description Medical schools should use a variety of measures to evaluate the effectiveness of their clinical curricula. Both outcome measures and process measures should be included, and these can be organized according to the four-level training evaluation model developed by Donald Kirkpatrick. Managing evaluation data requires the institution to employ deliberate strategies to monitor signals in real-time and aggregate data so that informed decisions can be made. Future steps in program evaluation includes increased emphasis on patient outcomes and multi-source feedback, as well as better integration of existing data sources.
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spelling pubmed-72415122020-06-01 Evaluating the effectiveness of undergraduate clinical education programs Ragsdale, John W. Berry, Andrea Gibson, Jennifer W. Herber-Valdez, Christiane R. Germain, Lauren J. Engle, Deborah L. Med Educ Online Article Medical schools should use a variety of measures to evaluate the effectiveness of their clinical curricula. Both outcome measures and process measures should be included, and these can be organized according to the four-level training evaluation model developed by Donald Kirkpatrick. Managing evaluation data requires the institution to employ deliberate strategies to monitor signals in real-time and aggregate data so that informed decisions can be made. Future steps in program evaluation includes increased emphasis on patient outcomes and multi-source feedback, as well as better integration of existing data sources. Taylor & Francis 2020-04-30 /pmc/articles/PMC7241512/ /pubmed/32352355 http://dx.doi.org/10.1080/10872981.2020.1757883 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Ragsdale, John W.
Berry, Andrea
Gibson, Jennifer W.
Herber-Valdez, Christiane R.
Germain, Lauren J.
Engle, Deborah L.
Evaluating the effectiveness of undergraduate clinical education programs
title Evaluating the effectiveness of undergraduate clinical education programs
title_full Evaluating the effectiveness of undergraduate clinical education programs
title_fullStr Evaluating the effectiveness of undergraduate clinical education programs
title_full_unstemmed Evaluating the effectiveness of undergraduate clinical education programs
title_short Evaluating the effectiveness of undergraduate clinical education programs
title_sort evaluating the effectiveness of undergraduate clinical education programs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241512/
https://www.ncbi.nlm.nih.gov/pubmed/32352355
http://dx.doi.org/10.1080/10872981.2020.1757883
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