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The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial
BACKGROUND: Generation Z is starting to reach college age. They have adopted technology from an early age and have a deep dependence on it; therefore, they have become more drawn to the virtual world. M-learning has experienced huge growth in recent years, both in the medical context and in medical...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093774/ https://www.ncbi.nlm.nih.gov/pubmed/32154784 http://dx.doi.org/10.2196/16258 |
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author | Lozano-Lozano, Mario Galiano-Castillo, Noelia Fernández-Lao, Carolina Postigo-Martin, Paula Álvarez-Salvago, Francisco Arroyo-Morales, Manuel Cantarero-Villanueva, Irene |
author_facet | Lozano-Lozano, Mario Galiano-Castillo, Noelia Fernández-Lao, Carolina Postigo-Martin, Paula Álvarez-Salvago, Francisco Arroyo-Morales, Manuel Cantarero-Villanueva, Irene |
author_sort | Lozano-Lozano, Mario |
collection | PubMed |
description | BACKGROUND: Generation Z is starting to reach college age. They have adopted technology from an early age and have a deep dependence on it; therefore, they have become more drawn to the virtual world. M-learning has experienced huge growth in recent years, both in the medical context and in medical and health sciences education. Ultrasound imaging is an important diagnosis technique in physiotherapy, especially in sports pathology. M-learning systems could be useful tools for improving the comprehension of ultrasound concepts and the acquisition of professional competencies. OBJECTIVE: The purpose of this study was to evaluate the efficacy and use of an interactive platform accessible through mobile devices—Ecofisio—using ultrasound imaging for the development of professional competencies in the evaluation and diagnosis of sports pathologies. METHODS: Participants included 110 undergraduate students who were placed into one of two groups of a randomized controlled multicenter study: control group (ie, traditional learning) and experimental group (ie, Ecofisio mobile app). Participants’ theoretical knowledge was assessed using a multiple-choice questionnaire (MCQ); students were also assessed by means of the Objective Structured Clinical Examination (OSCE). Moreover, a satisfaction survey was completed by the students. RESULTS: The statistical analyses revealed that Ecofisio was effective in most of the processes evaluated when compared with the traditional learning method: all OSCE stations, P<.001; MCQ, 43 versus 15 students passed in the Ecofisio and control groups, respectively, P<.001. Moreover, the results revealed that the students found the app to be attractive and useful. CONCLUSIONS: The Ecofisio mobile app may be an effective way for physiotherapy students to obtain adequate professional competencies regarding evaluation and diagnosis of sports pathologies. TRIAL REGISTRATION: ClinicalTrials.gov NCT04138511; https://clinicaltrials.gov/ct2/show/NCT04138511 |
format | Online Article Text |
id | pubmed-7093774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-70937742020-03-31 The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial Lozano-Lozano, Mario Galiano-Castillo, Noelia Fernández-Lao, Carolina Postigo-Martin, Paula Álvarez-Salvago, Francisco Arroyo-Morales, Manuel Cantarero-Villanueva, Irene J Med Internet Res Original Paper BACKGROUND: Generation Z is starting to reach college age. They have adopted technology from an early age and have a deep dependence on it; therefore, they have become more drawn to the virtual world. M-learning has experienced huge growth in recent years, both in the medical context and in medical and health sciences education. Ultrasound imaging is an important diagnosis technique in physiotherapy, especially in sports pathology. M-learning systems could be useful tools for improving the comprehension of ultrasound concepts and the acquisition of professional competencies. OBJECTIVE: The purpose of this study was to evaluate the efficacy and use of an interactive platform accessible through mobile devices—Ecofisio—using ultrasound imaging for the development of professional competencies in the evaluation and diagnosis of sports pathologies. METHODS: Participants included 110 undergraduate students who were placed into one of two groups of a randomized controlled multicenter study: control group (ie, traditional learning) and experimental group (ie, Ecofisio mobile app). Participants’ theoretical knowledge was assessed using a multiple-choice questionnaire (MCQ); students were also assessed by means of the Objective Structured Clinical Examination (OSCE). Moreover, a satisfaction survey was completed by the students. RESULTS: The statistical analyses revealed that Ecofisio was effective in most of the processes evaluated when compared with the traditional learning method: all OSCE stations, P<.001; MCQ, 43 versus 15 students passed in the Ecofisio and control groups, respectively, P<.001. Moreover, the results revealed that the students found the app to be attractive and useful. CONCLUSIONS: The Ecofisio mobile app may be an effective way for physiotherapy students to obtain adequate professional competencies regarding evaluation and diagnosis of sports pathologies. TRIAL REGISTRATION: ClinicalTrials.gov NCT04138511; https://clinicaltrials.gov/ct2/show/NCT04138511 JMIR Publications 2020-03-10 /pmc/articles/PMC7093774/ /pubmed/32154784 http://dx.doi.org/10.2196/16258 Text en ©Mario Lozano-Lozano, Noelia Galiano-Castillo, Carolina Fernández-Lao, Paula Postigo-Martin, Francisco Álvarez-Salvago, Manuel Arroyo-Morales, Irene Cantarero-Villanueva. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.03.2020. 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 the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Lozano-Lozano, Mario Galiano-Castillo, Noelia Fernández-Lao, Carolina Postigo-Martin, Paula Álvarez-Salvago, Francisco Arroyo-Morales, Manuel Cantarero-Villanueva, Irene The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial |
title | The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial |
title_full | The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial |
title_fullStr | The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial |
title_full_unstemmed | The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial |
title_short | The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial |
title_sort | ecofisio mobile app for assessment and diagnosis using ultrasound imaging for undergraduate health science students: multicenter randomized controlled trial |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093774/ https://www.ncbi.nlm.nih.gov/pubmed/32154784 http://dx.doi.org/10.2196/16258 |
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