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Predicting medical students who will have difficulty during their clinical training
BACKGROUND: We aimed to classify the difficulties students had passing their clinical attachments, and explore factors which might predict these problems. METHODS: We analysed data from regular student progress meetings 2008–2012. Problem categories were: medical knowledge, professional behaviour an...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320727/ https://www.ncbi.nlm.nih.gov/pubmed/28222710 http://dx.doi.org/10.1186/s12909-017-0879-2 |
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author | Jardine, D. L. McKenzie, J. M. Wilkinson, T. J. |
author_facet | Jardine, D. L. McKenzie, J. M. Wilkinson, T. J. |
author_sort | Jardine, D. L. |
collection | PubMed |
description | BACKGROUND: We aimed to classify the difficulties students had passing their clinical attachments, and explore factors which might predict these problems. METHODS: We analysed data from regular student progress meetings 2008–2012. Problem categories were: medical knowledge, professional behaviour and clinical skills. For each category we then undertook a predictive risk analysis. RESULTS: Out of 561 students, 203 were found to have one or more problem category and so were defined as having difficulties. Prevalences of the categories were: clinical skills (67%), knowledge (59%) and professional behaviour (29%). A higher risk for all categories was associated with: male gender, international entry and failure in the first half of the course, but not with any of the minority ethnic groups. Professional and clinical skills problems were associated with lower marks in the Undergraduate Medical Admissions Test paper 2. Clinical skills problems were less likely in graduate students. CONCLUSIONS: In our students, difficulty with clinical skills was just as prevalent as medical knowledge deficit. International entry students were at highest risk for clinical skills problems probably because they were not selected by our usual criteria and had shorter time to become acculturated. |
format | Online Article Text |
id | pubmed-5320727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53207272017-02-24 Predicting medical students who will have difficulty during their clinical training Jardine, D. L. McKenzie, J. M. Wilkinson, T. J. BMC Med Educ Research Article BACKGROUND: We aimed to classify the difficulties students had passing their clinical attachments, and explore factors which might predict these problems. METHODS: We analysed data from regular student progress meetings 2008–2012. Problem categories were: medical knowledge, professional behaviour and clinical skills. For each category we then undertook a predictive risk analysis. RESULTS: Out of 561 students, 203 were found to have one or more problem category and so were defined as having difficulties. Prevalences of the categories were: clinical skills (67%), knowledge (59%) and professional behaviour (29%). A higher risk for all categories was associated with: male gender, international entry and failure in the first half of the course, but not with any of the minority ethnic groups. Professional and clinical skills problems were associated with lower marks in the Undergraduate Medical Admissions Test paper 2. Clinical skills problems were less likely in graduate students. CONCLUSIONS: In our students, difficulty with clinical skills was just as prevalent as medical knowledge deficit. International entry students were at highest risk for clinical skills problems probably because they were not selected by our usual criteria and had shorter time to become acculturated. BioMed Central 2017-02-21 /pmc/articles/PMC5320727/ /pubmed/28222710 http://dx.doi.org/10.1186/s12909-017-0879-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Jardine, D. L. McKenzie, J. M. Wilkinson, T. J. Predicting medical students who will have difficulty during their clinical training |
title | Predicting medical students who will have difficulty during their clinical training |
title_full | Predicting medical students who will have difficulty during their clinical training |
title_fullStr | Predicting medical students who will have difficulty during their clinical training |
title_full_unstemmed | Predicting medical students who will have difficulty during their clinical training |
title_short | Predicting medical students who will have difficulty during their clinical training |
title_sort | predicting medical students who will have difficulty during their clinical training |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320727/ https://www.ncbi.nlm.nih.gov/pubmed/28222710 http://dx.doi.org/10.1186/s12909-017-0879-2 |
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