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Drivers of iPad use by undergraduate medical students: the Technology Acceptance Model perspective
BACKGROUND: Medical students need to acquire a continuously growing body of knowledge during their training and throughout their practice. Medical training programs should aim to provide students with the skills to manage this knowledge. Mobile technology, for example, could be a strategy used throu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827188/ https://www.ncbi.nlm.nih.gov/pubmed/35135525 http://dx.doi.org/10.1186/s12909-022-03152-w |
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author | Do, Doan Hoa Lakhal, Sawsen Bernier, Mikaël Bisson, Jasmine Bergeron, Linda St-Onge, Christina |
author_facet | Do, Doan Hoa Lakhal, Sawsen Bernier, Mikaël Bisson, Jasmine Bergeron, Linda St-Onge, Christina |
author_sort | Do, Doan Hoa |
collection | PubMed |
description | BACKGROUND: Medical students need to acquire a continuously growing body of knowledge during their training and throughout their practice. Medical training programs should aim to provide students with the skills to manage this knowledge. Mobile technology, for example, could be a strategy used through training and practice. The objective of this study was to identify drivers of using mobile technology (an iPad) in a UGME preclinical settings and to study the evolution of those drivers over time. METHODS: We solicited all students from two cohorts of a preclinical component of a Canadian UGME program. They were asked to answer two online surveys: one on their first year of study and another on the second year. Surveys were built based on the Technology Acceptance Model (TAM) to which other factors were also added. Data from the two cohorts were combined and analysed with partial least squares structural equation modelling (PLS-SEM) to test two measurement models, one for each year. RESULTS: We tested fifteen hypotheses on both data sets (first year and second year). Factors that explained the use of an iPad the first year were knowledge, preferences, perceived usefulness and anticipation. In the second year, perceived usefulness, knowledge and satisfaction explained the use of an iPad. Other factors have also significantly, but indirectly influenced the use of the iPad. CONCLUSIONS: We identified factors that influenced the use of an iPad in a preclinical medical program. These factors differed from the first year to the second year in the program. Our results suggest that interventions should be tailored for different point in time to foster the use of an iPad. Further study should investigate how interventions based on these factors may influence implementation of mobile technology to help students acquire ability to navigate efficiently through medical knowledge. |
format | Online Article Text |
id | pubmed-8827188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88271882022-02-10 Drivers of iPad use by undergraduate medical students: the Technology Acceptance Model perspective Do, Doan Hoa Lakhal, Sawsen Bernier, Mikaël Bisson, Jasmine Bergeron, Linda St-Onge, Christina BMC Med Educ Research BACKGROUND: Medical students need to acquire a continuously growing body of knowledge during their training and throughout their practice. Medical training programs should aim to provide students with the skills to manage this knowledge. Mobile technology, for example, could be a strategy used through training and practice. The objective of this study was to identify drivers of using mobile technology (an iPad) in a UGME preclinical settings and to study the evolution of those drivers over time. METHODS: We solicited all students from two cohorts of a preclinical component of a Canadian UGME program. They were asked to answer two online surveys: one on their first year of study and another on the second year. Surveys were built based on the Technology Acceptance Model (TAM) to which other factors were also added. Data from the two cohorts were combined and analysed with partial least squares structural equation modelling (PLS-SEM) to test two measurement models, one for each year. RESULTS: We tested fifteen hypotheses on both data sets (first year and second year). Factors that explained the use of an iPad the first year were knowledge, preferences, perceived usefulness and anticipation. In the second year, perceived usefulness, knowledge and satisfaction explained the use of an iPad. Other factors have also significantly, but indirectly influenced the use of the iPad. CONCLUSIONS: We identified factors that influenced the use of an iPad in a preclinical medical program. These factors differed from the first year to the second year in the program. Our results suggest that interventions should be tailored for different point in time to foster the use of an iPad. Further study should investigate how interventions based on these factors may influence implementation of mobile technology to help students acquire ability to navigate efficiently through medical knowledge. BioMed Central 2022-02-08 /pmc/articles/PMC8827188/ /pubmed/35135525 http://dx.doi.org/10.1186/s12909-022-03152-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Do, Doan Hoa Lakhal, Sawsen Bernier, Mikaël Bisson, Jasmine Bergeron, Linda St-Onge, Christina Drivers of iPad use by undergraduate medical students: the Technology Acceptance Model perspective |
title | Drivers of iPad use by undergraduate medical students: the Technology Acceptance Model perspective |
title_full | Drivers of iPad use by undergraduate medical students: the Technology Acceptance Model perspective |
title_fullStr | Drivers of iPad use by undergraduate medical students: the Technology Acceptance Model perspective |
title_full_unstemmed | Drivers of iPad use by undergraduate medical students: the Technology Acceptance Model perspective |
title_short | Drivers of iPad use by undergraduate medical students: the Technology Acceptance Model perspective |
title_sort | drivers of ipad use by undergraduate medical students: the technology acceptance model perspective |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827188/ https://www.ncbi.nlm.nih.gov/pubmed/35135525 http://dx.doi.org/10.1186/s12909-022-03152-w |
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