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Virtual simulation for teaching cardiology in nursing: a scoping review protocol
Sabrina de Oliveira Carvalho1, Ana Beatriz Barbosa Paz1, Raylane da Silva Machado2
1Department of Nursing, Federal University of Piauí, Teresina, Piauí, Brazil.
Introduction:
Virtual simulation (VS) can be an effective learning strategy in the context of nursing education on cardiovascular disease; however, its use in teaching cardiology in nursing is less studied. The objective of this scoping review is to map the use of VS for teaching cardiology in nursing.
Methods And Analysis:
This scoping review will be conducted according to the Joanna Briggs Institute methods, and the results will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. Eight databases will be searched: MEDLINE (NCBI/PubMed), Cumulative Index to Nursing and Allied Health Literature, Web of Science, Latin American and Caribbean Literature in Health Sciences, Spanish Bibliographic Index of Health Sciences, Database of Nursing, EMBASE and Google Scholar from inception to 31 July 2024. This study will include any existing peer-reviewed literature and grey literature. There will be no time or language restrictions. Two reviewers will screen and select the articles independently, and when there are differences, they will be resolved with a third opinion. When appropriate, broad themes and categories derived from the review questions will be accompanied by other illustrative formats (eg, tables or graphs, word clouds and infographics).
Ethics And Dissemination:
This research project does not require ethical committee approval. The study is part of a cooperative research project between researchers from the Federal University of Piauí, Northeast of Brazil, and Queen's University, Ontario, Canada, to develop and seek evidence of content validity of a VS game about valvular heart disease. The protocol and review will be published in peer-reviewed journals.
Registration Details:
Open Science Framework (https://doi.org/10.17605/OSF.IO/S3UMH).
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