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Peripheral venous puncture: interfaces of the use of educational technologies in undergraduate nursing teaching in the perspective of care to patients with chronic diseases

Grant number: 13/08249-8
Support Opportunities:Regular Research Grants
Duration: June 01, 2013 - May 31, 2015
Field of knowledge:Health Sciences - Nursing - Medical-Surgical Nursing
Principal Investigator:Simone de Godoy Costa
Grantee:Simone de Godoy Costa
Host Institution: Escola de Enfermagem de Ribeirão Preto (EERP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil


This research aims to investigate the efficacy of the use of virtual environment and reality simulator in the teaching-learning process of peripheral venous puncture to undergraduate nursing students, in order to offer and incorporate more interactive, appropriate and safe learning experiences. This is a descriptive, exploratory and quantitative study with a quasi-experimental design, pre-and post-test in two stages. The first concerns the development and validation of content on peripheral venous puncture in a virtual learning environment (VLE) according to the meaningful learning framework. The second stage is characterized by preliminary knowledge assessment after offering content on peripheral venous puncture through traditional teaching and through VLE, offering theoretical and practical training using anatomical models of conventional arms and virtual reality simulator to groups subjected to traditional teaching and through VLE, assessment of knowledge and practical performance of peripheral venous puncture in a real situation in laboratory after offering different teaching methods and finally the evaluation of the educational programs offered. Descriptive statistical analysis (frequency, percentage) and analysis of variance (Anova) will be used to test the mean differences among the studied groups. The degree of linear relationship in the scores obtained using the Pearson correlation coefficient will be checked. Results will be expressed as means ± standard errors of the mean (SEM), and it will be considered as statistically significant when p <0.05. Results will be discussed with reasoning in the literature review. (AU)

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