The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial
Identificadores
URI: https://www.jmir.org/2020/3/e16258URI: http://hdl.handle.net/10481/60703
DOI: 10.2196/16258
Metadatos
Afficher la notice complèteAuteur
Lozano Lozano, Mario; Galiano Castillo, Noelia; Fernández Lao, Carolina; Postigo Martín, Elisa Paula; Álvarez Salvago, Francisco; Arroyo Morales, Manuel; Cantarero Villanueva, IreneEditorial
Journal of Medical Internet Research; JMIR Publications
Materia
Undergraduate OSCE mHealth Learning strategies Teaching strategies
Date
2020-03-10Referencia bibliográfica
Cantarero-Villanueva I The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial J Med Internet Res 2020;22(3):e16258 [doi: 10.2196/16258]
Patrocinador
This study was funded by a grant from the Educational Innovation Unit of the University of Granada, Spain (PID 14-56)Résumé
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.