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Medical school clinical placements – the optimal method for assessing the clinical educational environment from a graduate entry perspective

BACKGROUND: Educational environment is a strong determinant of student satisfaction and achievement. The learning environments of medical students on clinical placements are busy workplaces, composed of many variables. There is no universally accepted method of evaluating the clinical learning envir...

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Autores principales: Hyde, Sarah, Hannigan, Ailish, Dornan, Tim, McGrath, Deirdre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5755331/
https://www.ncbi.nlm.nih.gov/pubmed/29304791
http://dx.doi.org/10.1186/s12909-017-1113-y
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author Hyde, Sarah
Hannigan, Ailish
Dornan, Tim
McGrath, Deirdre
author_facet Hyde, Sarah
Hannigan, Ailish
Dornan, Tim
McGrath, Deirdre
author_sort Hyde, Sarah
collection PubMed
description BACKGROUND: Educational environment is a strong determinant of student satisfaction and achievement. The learning environments of medical students on clinical placements are busy workplaces, composed of many variables. There is no universally accepted method of evaluating the clinical learning environment, nor is there consensus on what concepts or aspects should be measured. The aims of this study were to compare the Dundee ready educational environment measure (DREEM - the current de facto standard) and the more recently developed Manchester clinical placement index (MCPI) for the assessment of the clinical learning environment in a graduate entry medical student cohort by correlating the scores of each and analysing free text comments. This study also explored student perceptionof how the clinical educational environment is assessed. METHODS: An online, anonymous survey comprising of both the DREEM and MCPI instruments was delivered to students on clinical placement in a graduate entry medical school. Additional questions explored students’ perceptions of instruments for giving feedback. Numeric variables (DREEM score, MCPI score, ratings) were tested for normality and summarised. Pearson’s correlation coefficient was used to measure the strength of the association between total DREEM score and total MCPI scores. Thematic analysis was used to analyse the free text comments. RESULTS: The overall response rate to the questionnaire was 67% (n = 180), with a completed response rate for the MCPI of 60% (n = 161) and for the DREEM of 58% (n = 154). There was a strong, positive correlation between total DREEM and MCPI scores (r = 0.71, p < 0.001). On a scale of 0 to 7, the mean rating for how worthwhile students found completing the DREEM was 3.27 (SD 1.41) and for the MCPI was 3.49 (SD 1.57). ‘Finding balance’ and ‘learning at work’ were among the themes to emerge from analysis of free text comments. CONCLUSIONS: The present study confirms that DREEM and MCPI total scores are strongly correlated. Graduate entry students tended to favour this method of evaluation over the DREEM with the MCPI prompting rich description of the clinical learning environment. Further study is warranted to determine if this finding is transferable to all clinical medical student cohorts.
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spelling pubmed-57553312018-01-08 Medical school clinical placements – the optimal method for assessing the clinical educational environment from a graduate entry perspective Hyde, Sarah Hannigan, Ailish Dornan, Tim McGrath, Deirdre BMC Med Educ Research Article BACKGROUND: Educational environment is a strong determinant of student satisfaction and achievement. The learning environments of medical students on clinical placements are busy workplaces, composed of many variables. There is no universally accepted method of evaluating the clinical learning environment, nor is there consensus on what concepts or aspects should be measured. The aims of this study were to compare the Dundee ready educational environment measure (DREEM - the current de facto standard) and the more recently developed Manchester clinical placement index (MCPI) for the assessment of the clinical learning environment in a graduate entry medical student cohort by correlating the scores of each and analysing free text comments. This study also explored student perceptionof how the clinical educational environment is assessed. METHODS: An online, anonymous survey comprising of both the DREEM and MCPI instruments was delivered to students on clinical placement in a graduate entry medical school. Additional questions explored students’ perceptions of instruments for giving feedback. Numeric variables (DREEM score, MCPI score, ratings) were tested for normality and summarised. Pearson’s correlation coefficient was used to measure the strength of the association between total DREEM score and total MCPI scores. Thematic analysis was used to analyse the free text comments. RESULTS: The overall response rate to the questionnaire was 67% (n = 180), with a completed response rate for the MCPI of 60% (n = 161) and for the DREEM of 58% (n = 154). There was a strong, positive correlation between total DREEM and MCPI scores (r = 0.71, p < 0.001). On a scale of 0 to 7, the mean rating for how worthwhile students found completing the DREEM was 3.27 (SD 1.41) and for the MCPI was 3.49 (SD 1.57). ‘Finding balance’ and ‘learning at work’ were among the themes to emerge from analysis of free text comments. CONCLUSIONS: The present study confirms that DREEM and MCPI total scores are strongly correlated. Graduate entry students tended to favour this method of evaluation over the DREEM with the MCPI prompting rich description of the clinical learning environment. Further study is warranted to determine if this finding is transferable to all clinical medical student cohorts. BioMed Central 2018-01-05 /pmc/articles/PMC5755331/ /pubmed/29304791 http://dx.doi.org/10.1186/s12909-017-1113-y Text en © The Author(s). 2018 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
Hyde, Sarah
Hannigan, Ailish
Dornan, Tim
McGrath, Deirdre
Medical school clinical placements – the optimal method for assessing the clinical educational environment from a graduate entry perspective
title Medical school clinical placements – the optimal method for assessing the clinical educational environment from a graduate entry perspective
title_full Medical school clinical placements – the optimal method for assessing the clinical educational environment from a graduate entry perspective
title_fullStr Medical school clinical placements – the optimal method for assessing the clinical educational environment from a graduate entry perspective
title_full_unstemmed Medical school clinical placements – the optimal method for assessing the clinical educational environment from a graduate entry perspective
title_short Medical school clinical placements – the optimal method for assessing the clinical educational environment from a graduate entry perspective
title_sort medical school clinical placements – the optimal method for assessing the clinical educational environment from a graduate entry perspective
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5755331/
https://www.ncbi.nlm.nih.gov/pubmed/29304791
http://dx.doi.org/10.1186/s12909-017-1113-y
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