Evidence map›Paper›PMID 32154784›Full record

Trial reportJournal of medical Internet research2020

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

Mario Lozano-Lozano, Noelia Galiano-Castillo, Carolina Fernández-Lao, Paula Postigo-Martin, Francisco Álvarez-Salvago, Manuel Arroyo-Morales, Irene Cantarero-Villanueva

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04138511 (Ecofisio, a Mobile Application for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students), which is not on this map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04138511 nacompletednot on this map

Ecofisio, a Mobile Application for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students

TypeinterventionalSponsorIrene Cantarero VillanuevaRan2014 to 2016Enrolled110ConditionsSport Injury, Educational ProblemsArmsECOFISIO
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mario Lozano-LozanoDepartment of Physical Therapy, University of Granada, Granada, Spain.ORCID 0000-0001-5854-3567
Noelia Galiano-CastilloDepartment of Physical Therapy, University of Granada, Granada, Spain.ORCID 0000-0002-6825-4213
Carolina Fernández-LaoDepartment of Physical Therapy, University of Granada, Granada, Spain.ORCID 0000-0002-9392-1532
Paula Postigo-MartinDepartment of Physical Therapy, University of Granada, Granada, Spain.ORCID 0000-0001-6430-5207
Francisco Álvarez-SalvagoDepartment of Physical Therapy, University of Granada, Granada, Spain.ORCID 0000-0002-1108-2174
Manuel Arroyo-MoralesDepartment of Physical Therapy, University of Granada, Granada, Spain.ORCID 0000-0003-3552-8051
Irene Cantarero-VillanuevaDepartment of Physical Therapy, University of Granada, Granada, Spain.ORCID 0000-0002-3834-1711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGeneration 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.

objectiveThe 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.

methodsParticipants 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.

resultsThe 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.

conclusionsThe Ecofisio mobile app may be an effective way for physiotherapy students to obtain adequate professional competencies regarding evaluation and diagnosis of sports pathologies.

trial registrationClinicalTrials.gov NCT04138511; https://clinicaltrials.gov/ct2/show/NCT04138511.

Indexed as

AdultEducation, Medical, UndergraduateFemaleHumansLearningMaleMobile ApplicationsUltrasonographyUniversitiesYoung AdultmHealthOSCEteaching and learning strategiesundergraduate

Identifiers

PMID32154784
PMCPMC7093774

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.