Phone: (+39) 0813995453


In-person and telemedicine course models for disaster preparedness: a comparative analysis.

In-person and telemedicine course models for disaster preparedness: a comparative analysis.

In-person and telemedicine course models for disaster preparedness: a comparative analysis.

Rev Col Bras Cir. 2018;45(3):e1710

Authors: Dorigatti AE, Pereira BMT, Simões RL, Matsuguma JR, Calderan TRA, Fraga GP

Abstract
OBJECTIVE: to compare the students' performance in face-to-face and telemedicine courses for the training and necessary action in disasters, using telemedicine as an effective training tool.
METHODS: online research conducted after the end of the course of preparation in disasters, carried out in-person, as well as by videoconference. We compared the performance of students in the in-person course and through telemedicine.
RESULTS: in the comparison of the results obtained with the pre- and post-test data between the students who attended via telemedicine and in-person, we observed that in the two modalities there was an increase in knowledge (p<0.001). We also observed no statistically significant differences in the posterior evaluation between the in-person and telemedicine courses (p=1.0), however, there was a significant difference at the pre-test evaluative moment (p<0.001).
CONCLUSION: videoconferencing can be effectively used to train health professionals in disaster management, being able to provide adequate knowledge and become an important tool to distance reaching in continuing education.

PMID: 29924130 [PubMed - in process]

Powered by WPeMatico

P.IVA 08738511214
Privacy Policy
Cookie Policy

Sede Legale
Viale Campi Flegrei 55
80124 - Napoli

Sede Operativa
Via G.Porzio 4
Centro Direzionale G1
80143 - Napoli

ISO9001
AI 4394
© Copyright 2022 - Humaninsight Srls - All Rights Reserved
Privacy Policy | Cookie Policy
envelopephone-handsetmap-marker linkedin facebook pinterest youtube rss twitter instagram facebook-blank rss-blank linkedin-blank pinterest youtube twitter instagram