Effect of Realistic Simulation and Digital Educational Platforms for Learning Nursing Student
NCT ID: NCT04940455
Last Updated: 2021-06-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
100 participants
INTERVENTIONAL
2021-09-30
2022-09-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
DOUBLE
Study Groups
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Educational digital platforms
Nursing students from the Experimental Group (GE), will participate in educational activities made available on digital platforms on "nursing care for patients with signs and symptoms of sepsis"
Educational digital platforms
The digital educational platforms will be implemented through games of questions and answers, simulated cases sent via google forms about the nurse's performance in a critical care unit facing the patient with signs and symptoms of sepsis. The questions in the games will aim to develop clinical judgment and quick decision-making in nursing students in order not to compromise the health care of the patient in sepsis.
High-Fidelity Simulation
Nursing students in the Control Group (GC) will be exposed to high-fidelity simulation in the intensive care setting, where they must solve situations and procedures related to the nurse's performance in recognizing the signs and symptoms of sepsis.
Educational digital platforms
The digital educational platforms will be implemented through games of questions and answers, simulated cases sent via google forms about the nurse's performance in a critical care unit facing the patient with signs and symptoms of sepsis. The questions in the games will aim to develop clinical judgment and quick decision-making in nursing students in order not to compromise the health care of the patient in sepsis.
Interventions
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Educational digital platforms
The digital educational platforms will be implemented through games of questions and answers, simulated cases sent via google forms about the nurse's performance in a critical care unit facing the patient with signs and symptoms of sepsis. The questions in the games will aim to develop clinical judgment and quick decision-making in nursing students in order not to compromise the health care of the patient in sepsis.
Eligibility Criteria
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Inclusion Criteria
Students approved in the discipline related to nursing care for adult and elderly patients.
Exclusion Criteria
\-
18 Years
ALL
Yes
Sponsors
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University of Brasilia
OTHER
Responsible Party
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Marcia Cristina da Silva Magro
Principal Investigador, PhD
Principal Investigators
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Marcia CS Magro, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Brasilia
Central Contacts
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References
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Silveira MS, Cogo ALP. The contributions of digital technologies in the teaching of nursing skills: an integrative review. Rev Gaucha Enferm. 2017 Jul 13;38(2):e66204. doi: 10.1590/1983-1447.2017.02.66204. English, Portuguese.
Basak T, Unver V, Moss J, Watts P, Gaioso V. Beginning and advanced students' perceptions of the use of low- and high-fidelity mannequins in nursing simulation. Nurse Educ Today. 2016 Jan;36:37-43. doi: 10.1016/j.nedt.2015.07.020. Epub 2015 Jul 29.
Cogo ALP, Lopes EFDS, Perdomini FRI, Flores GE, Santos MRRD. Building and developing realistic simulation scenarios on safe drug administration. Rev Gaucha Enferm. 2019 Jan 10;40(spe):e20180175. doi: 10.1590/1983-1447.2019.20180175. English, Portuguese.
de Sena DP, Fabricio DD, da Silva VD, Bodanese LC, Franco AR. Comparative evaluation of video-based on-line course versus serious game for training medical students in cardiopulmonary resuscitation: A randomised trial. PLoS One. 2019 Apr 8;14(4):e0214722. doi: 10.1371/journal.pone.0214722. eCollection 2019.
Blanie A, Amorim MA, Meffert A, Perrot C, Dondelli L, Benhamou D. Assessing validity evidence for a serious game dedicated to patient clinical deterioration and communication. Adv Simul (Lond). 2020 May 27;5:4. doi: 10.1186/s41077-020-00123-3. eCollection 2020.
Valentin B, Grottke O, Skorning M, Bergrath S, Fischermann H, Rortgen D, Mennig MT, Fitzner C, Muller MP, Kirschbaum C, Rossaint R, Beckers SK. Cortisol and alpha-amylase as stress response indicators during pre-hospital emergency medicine training with repetitive high-fidelity simulation and scenarios with standardized patients. Scand J Trauma Resusc Emerg Med. 2015 Apr 8;23:31. doi: 10.1186/s13049-015-0110-6.
McGuire K, Lorenz R. Effect of Simulation on Learner Stress as Measured by Cortisol: An Integrative Review. Nurse Educ. 2018 Jan/Feb;43(1):45-49. doi: 10.1097/NNE.0000000000000393.
Fraser K, McLaughlin K. Temporal pattern of emotions and cognitive load during simulation training and debriefing. Med Teach. 2019 Feb;41(2):184-189. doi: 10.1080/0142159X.2018.1459531. Epub 2018 Apr 24.
Fonseca LM, Aredes ND, Fernandes AM, Batalha LM, Apostolo JM, Martins JC, Rodrigues MA. Computer and laboratory simulation in the teaching of neonatal nursing: innovation and impact on learning. Rev Lat Am Enfermagem. 2016 Oct 10;24:e2808. doi: 10.1590/1518-8345.1005.2808.
Nieto Fernandez-Pacheco A, Castro Delgado R, Arcos Gonzalez P, Navarro Fernandez JL, Ceron Madrigal JJ, Juguera Rodriguez L, Perez Alonso N, Armero-Barranco D, Lidon Lopez Iborra M, Damian ET, Pardo Rios M. Analysis of performance and stress caused by a simulation of a mass casualty incident. Nurse Educ Today. 2018 Mar;62:52-57. doi: 10.1016/j.nedt.2017.12.016. Epub 2017 Dec 15.
Mohammadi G, Tourdeh M, Ebrahimian A. Effect of simulation-based training method on the psychological health promotion in operating room students during the educational internship. J Educ Health Promot. 2019 Sep 30;8:172. doi: 10.4103/jehp.jehp_106_19. eCollection 2019.
Other Identifiers
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28233120.4.0000.0030
Identifier Type: -
Identifier Source: org_study_id
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