Literature DB >> 32154784

The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial.

Mario Lozano-Lozano1,2,3, Noelia Galiano-Castillo1,2,3, Carolina Fernández-Lao1,2,3, Paula Postigo-Martin1,2, Francisco Álvarez-Salvago1, Manuel Arroyo-Morales1,2,3, Irene Cantarero-Villanueva1,2,3.   

Abstract

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. ©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.

Entities:  

Keywords:  OSCE; mHealth; teaching and learning strategies; undergraduate

Year:  2020        PMID: 32154784     DOI: 10.2196/16258

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  6 in total

1.  Assessment Methods in Medical Ultrasound Education.

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Journal:  Front Med (Lausanne)       Date:  2022-06-09

Review 2.  Usability Methods and Attributes Reported in Usability Studies of Mobile Apps for Health Care Education: Scoping Review.

Authors:  Susanne Grødem Johnson; Thomas Potrebny; Lillebeth Larun; Donna Ciliska; Nina Rydland Olsen
Journal:  JMIR Med Educ       Date:  2022-06-29

3.  Emergency Telemedicine Mobile Ultrasounds Using a 5G-Enabled Application: Development and Usability Study.

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Journal:  JMIR Form Res       Date:  2022-05-26

4.  Factors Affecting Medical Students' Continuance Intention to Use Mobile Health Applications.

Authors:  Qian Xu; Xiaorong Hou; Tingchao Xiao; Wenlong Zhao
Journal:  J Multidiscip Healthc       Date:  2022-03-08

5.  Digital learning designs in physiotherapy education: a systematic review and meta-analysis.

Authors:  Nina Bjerketveit Ødegaard; Hilde Tinderholt Myrhaug; Tone Dahl-Michelsen; Yngve Røe
Journal:  BMC Med Educ       Date:  2021-01-13       Impact factor: 2.463

6.  Mobile applications in medical education: A systematic review and meta-analysis.

Authors:  Viji Pulikkel Chandran; Athira Balakrishnan; Muhammed Rashid; Girish Pai Kulyadi; Sohil Khan; Elsa Sanatombi Devi; Sreedharan Nair; Girish Thunga
Journal:  PLoS One       Date:  2022-03-24       Impact factor: 3.240

  6 in total

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